这个小工具是当年学习opencv249的时候写的，里面包含了很多各种各样的模块，学习用的，测试用的，调试用的，都有，源代码可能暂时不好公开，因为不知道里面是否包含了以前的项目代码，如果确实需要帮助可以联系我，我看能不能抽空提取出来。

界面如下：

按钮源代码：

//author：autumoon
//联系QQ：4589968
//日期：2022-06-16// OpenCVFunctionTestDlg.cpp : 实现文件
//#include "stdafx.h"
#include "OpenCVFunctionTest.h"
#include "OpenCVFunctionTestDlg.h"
#include "afxdialogex.h"
#include <math.h>#ifdef _DEBUG
#define new DEBUG_NEW
#endif// 用于应用程序“关于”菜单项的 CAboutDlg 对话框class CAboutDlg : public CDialogEx
{
public:CAboutDlg();// 对话框数据enum { IDD = IDD_ABOUTBOX };protected:virtual void DoDataExchange(CDataExchange* pDX);    // DDX/DDV 支持// 实现
protected:DECLARE_MESSAGE_MAP()
};CAboutDlg::CAboutDlg() : CDialogEx(CAboutDlg::IDD)
{
}void CAboutDlg::DoDataExchange(CDataExchange* pDX)
{CDialogEx::DoDataExchange(pDX);
}BEGIN_MESSAGE_MAP(CAboutDlg, CDialogEx)
END_MESSAGE_MAP()// COpenCVFunctionTestDlg 对话框COpenCVFunctionTestDlg::COpenCVFunctionTestDlg(CWnd* pParent /*=NULL*/): CDialogEx(COpenCVFunctionTestDlg::IDD, pParent)
{m_hIcon = AfxGetApp()->LoadIcon(IDR_MAINFRAME);
}void COpenCVFunctionTestDlg::DoDataExchange(CDataExchange* pDX)
{CDialogEx::DoDataExchange(pDX);DDX_Control(pDX, IDC_PROGRESS_STATE, m_ProgressState);
}BEGIN_MESSAGE_MAP(COpenCVFunctionTestDlg, CDialogEx)ON_WM_SYSCOMMAND()ON_WM_PAINT()ON_WM_QUERYDRAGICON()ON_BN_CLICKED(IDC_BUTTON_Filter2D, &COpenCVFunctionTestDlg::OnBnClickedButtonFilter2d)ON_BN_CLICKED(IDC_BUTTON_TESTCLASS, &COpenCVFunctionTestDlg::OnBnClickedButtonTestclass)ON_BN_CLICKED(IDC_BUTTON_RESIZE, &COpenCVFunctionTestDlg::OnBnClickedButtonResize)ON_BN_CLICKED(IDC_BUTTON_ERODEDILATE, &COpenCVFunctionTestDlg::OnBnClickedButtonErodedilate)ON_BN_CLICKED(IDC_BUTTON_RENAMEFILES, &COpenCVFunctionTestDlg::OnBnClickedButtonRenamefiles)ON_BN_CLICKED(IDC_BUTTON_CALC_GLCM, &COpenCVFunctionTestDlg::OnBnClickedButtonCalcGlcm)ON_BN_CLICKED(IDC_BUTTON_MERGERECTS, &COpenCVFunctionTestDlg::OnBnClickedButtonMergerects)ON_BN_CLICKED(IDC_BUTTON_CANNY, &COpenCVFunctionTestDlg::OnBnClickedButtonCanny)ON_BN_CLICKED(IDC_BUTTON_BLUR, &COpenCVFunctionTestDlg::OnBnClickedButtonBlur)ON_BN_CLICKED(IDC_BUTTON_GABOR, &COpenCVFunctionTestDlg::OnBnClickedButtonGabor)ON_BN_CLICKED(IDC_BUTTON_GABORS, &COpenCVFunctionTestDlg::OnBnClickedButtonGabors)ON_BN_CLICKED(IDC_BUTTON_BIN, &COpenCVFunctionTestDlg::OnBnClickedButtonBin)ON_BN_CLICKED(IDC_BUTTON_GABOR2, &COpenCVFunctionTestDlg::OnBnClickedButtonGabor2)ON_BN_CLICKED(IDC_BUTTON_PCA, &COpenCVFunctionTestDlg::OnBnClickedButtonPca)ON_BN_CLICKED(IDC_BUTTON_AUTOCANNY, &COpenCVFunctionTestDlg::OnBnClickedButtonAutocanny)ON_BN_CLICKED(IDC_BUTTON_FLIP, &COpenCVFunctionTestDlg::OnBnClickedButtonFlip)ON_BN_CLICKED(IDC_BUTTON_WATERSHED, &COpenCVFunctionTestDlg::OnBnClickedButtonWatershed)ON_BN_CLICKED(IDC_BUTTON_KMEANS, &COpenCVFunctionTestDlg::OnBnClickedButtonKmeans)ON_BN_CLICKED(IDC_BUTTON_WATERSHED2, &COpenCVFunctionTestDlg::OnBnClickedButtonWatershed2)ON_BN_CLICKED(IDC_BUTTON_MEANSHIFT, &COpenCVFunctionTestDlg::OnBnClickedButtonMeanshift)ON_BN_CLICKED(IDC_BUTTON_HOUGH, &COpenCVFunctionTestDlg::OnBnClickedButtonHough)ON_BN_CLICKED(IDC_BUTTON_HOUGHC, &COpenCVFunctionTestDlg::OnBnClickedButtonHoughc)ON_BN_CLICKED(IDC_BUTTON_PICADD, &COpenCVFunctionTestDlg::OnBnClickedButtonPicadd)ON_BN_CLICKED(IDC_BUTTON_HIST, &COpenCVFunctionTestDlg::OnBnClickedButtonHist)ON_BN_CLICKED(IDC_BUTTON_HISTS, &COpenCVFunctionTestDlg::OnBnClickedButtonHists)ON_BN_CLICKED(IDC_BUTTON_BUILDDETECT, &COpenCVFunctionTestDlg::OnBnClickedButtonBuilddetect)ON_BN_CLICKED(IDC_BUTTON_SPIX, &COpenCVFunctionTestDlg::OnBnClickedButtonSpix)ON_BN_CLICKED(IDC_BUTTON_CONTOUR, &COpenCVFunctionTestDlg::OnBnClickedButtonContour)ON_BN_CLICKED(IDC_BUTTON_FIT, &COpenCVFunctionTestDlg::OnBnClickedButtonFit)ON_BN_CLICKED(IDC_BUTTON_FITLINE, &COpenCVFunctionTestDlg::OnBnClickedButtonFitline)ON_BN_CLICKED(IDC_BUTTON_FITCURVE, &COpenCVFunctionTestDlg::OnBnClickedButtonFitcurve)ON_BN_CLICKED(IDC_BUTTON_BILATERAL, &COpenCVFunctionTestDlg::OnBnClickedButtonBilateral)ON_BN_CLICKED(IDC_BUTTON_DIJKSTRA, &COpenCVFunctionTestDlg::OnBnClickedButtonDijkstra)ON_BN_CLICKED(IDC_BUTTON_SHORTESTPATH, &COpenCVFunctionTestDlg::OnBnClickedButtonShortestpath)ON_BN_CLICKED(IDC_BUTTON_CUTPIC, &COpenCVFunctionTestDlg::OnBnClickedButtonCutpic)ON_BN_CLICKED(IDC_BUTTON_OFFSETTFW, &COpenCVFunctionTestDlg::OnBnClickedButtonOffsettfw)ON_BN_CLICKED(IDC_BUTTON_ZOOMTFW, &COpenCVFunctionTestDlg::OnBnClickedButtonZoomtfw)ON_BN_CLICKED(IDC_BUTTON_WTOG, &COpenCVFunctionTestDlg::OnBnClickedButtonWtog)ON_BN_CLICKED(IDC_BUTTON_FILLPOLY, &COpenCVFunctionTestDlg::OnBnClickedButtonFillpoly)ON_BN_CLICKED(IDC_BUTTON_COPYMAT, &COpenCVFunctionTestDlg::OnBnClickedButtonCopymat)ON_BN_CLICKED(IDC_BUTTON_DISTINGUISH, &COpenCVFunctionTestDlg::OnBnClickedButtonDistinguish)ON_BN_CLICKED(IDC_BUTTON_SMOOTHBROKENLINE, &COpenCVFunctionTestDlg::OnBnClickedButtonSmoothbrokenline)ON_BN_CLICKED(IDC_BUTTON_RRLXPIXVALUE, &COpenCVFunctionTestDlg::OnBnClickedButtonRrlxpixvalue)ON_BN_CLICKED(IDC_BUTTON_MSER, &COpenCVFunctionTestDlg::OnBnClickedButtonMser)ON_BN_CLICKED(IDC_BUTTON_PERSPECT, &COpenCVFunctionTestDlg::OnBnClickedButtonPerspect)ON_BN_CLICKED(IDC_BUTTON_PIC_TRANS, &COpenCVFunctionTestDlg::OnBnClickedButtonPicTrans)ON_BN_CLICKED(IDC_BUTTON_FEATHER, &COpenCVFunctionTestDlg::OnBnClickedButtonFeather)ON_BN_CLICKED(IDC_BUTTON_SCROLL, &COpenCVFunctionTestDlg::OnBnClickedButtonScroll)ON_BN_CLICKED(IDC_BUTTON_GRADE, &COpenCVFunctionTestDlg::OnBnClickedButtonGrade)ON_BN_CLICKED(IDC_BUTTON_MERGEGRADE, &COpenCVFunctionTestDlg::OnBnClickedButtonMergegrade)ON_BN_CLICKED(IDC_BUTTON_TENEXPAND, &COpenCVFunctionTestDlg::OnBnClickedButtonTenexpand)ON_BN_CLICKED(IDC_BUTTON_FILLFEATHER, &COpenCVFunctionTestDlg::OnBnClickedButtonFillfeather)ON_BN_CLICKED(IDC_BUTTON_BGFILL, &COpenCVFunctionTestDlg::OnBnClickedButtonBgfill)ON_BN_CLICKED(IDC_BUTTON_ADDTIF, &COpenCVFunctionTestDlg::OnBnClickedButtonAddtif)ON_BN_CLICKED(IDC_BUTTON_MAT2TXT, &COpenCVFunctionTestDlg::OnBnClickedButtonMat2txt)ON_BN_CLICKED(IDC_BUTTON_FINDROAD, &COpenCVFunctionTestDlg::OnBnClickedButtonFindroad)ON_BN_CLICKED(IDC_BUTTON_POINTFEATHER, &COpenCVFunctionTestDlg::OnBnClickedButtonPointfeather)ON_BN_CLICKED(IDC_BUTTON_DRAWCONTOURS, &COpenCVFunctionTestDlg::OnBnClickedButtonDrawcontours)ON_BN_CLICKED(IDC_BUTTON_BIG_SHORTEST, &COpenCVFunctionTestDlg::OnBnClickedButtonBigShortest)ON_BN_CLICKED(IDC_BUTTON_PYRAMID, &COpenCVFunctionTestDlg::OnBnClickedButtonPyramid)ON_BN_CLICKED(IDC_BUTTON_CUBIC, &COpenCVFunctionTestDlg::OnBnClickedButtonCubic)ON_BN_CLICKED(IDC_BUTTON_OVERFLOW, &COpenCVFunctionTestDlg::OnBnClickedButtonOverflow)ON_BN_CLICKED(IDC_BUTTON_DRAWFILL, &COpenCVFunctionTestDlg::OnBnClickedButtonDrawfill)ON_BN_CLICKED(IDC_BUTTON_RECTBOUNDARY, &COpenCVFunctionTestDlg::OnBnClickedButtonRectboundary)ON_BN_CLICKED(IDC_BUTTON_SCALEMAT, &COpenCVFunctionTestDlg::OnBnClickedButtonScalemat)ON_BN_CLICKED(IDC_BUTTON_TIFSUB, &COpenCVFunctionTestDlg::OnBnClickedButtonTifsub)ON_BN_CLICKED(IDC_BUTTON_SURF, &COpenCVFunctionTestDlg::OnBnClickedButtonSurf)ON_BN_CLICKED(IDC_BUTTON_SURF2, &COpenCVFunctionTestDlg::OnBnClickedButtonSurf2)ON_BN_CLICKED(IDC_BUTTON_FLOODFILL, &COpenCVFunctionTestDlg::OnBnClickedButtonFloodfill)ON_BN_CLICKED(IDC_BUTTON_NEAREST, &COpenCVFunctionTestDlg::OnBnClickedButtonNearest)
END_MESSAGE_MAP()// COpenCVFunctionTestDlg 消息处理程序BOOL COpenCVFunctionTestDlg::OnInitDialog()
{CDialogEx::OnInitDialog();// 将“关于...”菜单项添加到系统菜单中。// IDM_ABOUTBOX 必须在系统命令范围内。ASSERT((IDM_ABOUTBOX & 0xFFF0) == IDM_ABOUTBOX);ASSERT(IDM_ABOUTBOX < 0xF000);CMenu* pSysMenu = GetSystemMenu(FALSE);if (pSysMenu != NULL){BOOL bNameValid;CString strAboutMenu;bNameValid = strAboutMenu.LoadString(IDS_ABOUTBOX);ASSERT(bNameValid);if (!strAboutMenu.IsEmpty()){pSysMenu->AppendMenu(MF_SEPARATOR);pSysMenu->AppendMenu(MF_STRING, IDM_ABOUTBOX, strAboutMenu);}}// 设置此对话框的图标。当应用程序主窗口不是对话框时，框架将自动//  执行此操作SetIcon(m_hIcon, TRUE);         // 设置大图标SetIcon(m_hIcon, FALSE);        // 设置小图标// TODO: 在此添加额外的初始化代码UINT array[5];for (int i = 0; i < 5; i++){array[i] = 100 + i;}m_StatusBar.Create(this);m_StatusBar.SetIndicators(array, sizeof(array) / sizeof(UINT));CRect rect;GetClientRect(rect);for (int n = 0; n < 3; n++){m_StatusBar.SetPaneInfo(n, array[n], 0, rect.Width() / 8);}m_StatusBar.SetPaneInfo(3, array[3], 0, rect.Width() * 3 / 8);m_StatusBar.SetPaneInfo(4, array[4], 0, rect.Width() / 8);//设置面版文字m_StatusBar.SetPaneText(0, _T("当前用户："));m_StatusBar.SetPaneText(1, _T("autumoon"));m_StatusBar.SetPaneText(2, _T("总体进度："));m_StatusBar.SetPaneText(4, _T(" Ready!"));RepositionBars(AFX_IDW_CONTROLBAR_FIRST, AFX_IDW_CONTROLBAR_LAST, 0); //显示状态栏RECT m_rect;m_StatusBar.GetItemRect(3, &m_rect);m_ProgressState.SetParent(&m_StatusBar);m_ProgressState.MoveWindow(&m_rect);m_ProgressState.ShowWindow(SW_SHOW);m_ProgressState.SetRange(0, 100);m_ProgressState.SetPos(0);SetDlgItemText(IDC_EDIT_RESOLUTION, "0.6");#ifdef _DEBUG
#endif // _DEBUGreturn TRUE;  // 除非将焦点设置到控件，否则返回 TRUE
}void COpenCVFunctionTestDlg::OnSysCommand(UINT nID, LPARAM lParam)
{if ((nID & 0xFFF0) == IDM_ABOUTBOX){CAboutDlg dlgAbout;dlgAbout.DoModal();}else{CDialogEx::OnSysCommand(nID, lParam);}
}// 如果向对话框添加最小化按钮，则需要下面的代码
//  来绘制该图标。对于使用文档/视图模型的 MFC 应用程序，
//  这将由框架自动完成。void COpenCVFunctionTestDlg::OnPaint()
{if (IsIconic()){CPaintDC dc(this); // 用于绘制的设备上下文SendMessage(WM_ICONERASEBKGND, reinterpret_cast<WPARAM>(dc.GetSafeHdc()), 0);// 使图标在工作区矩形中居中int cxIcon = GetSystemMetrics(SM_CXICON);int cyIcon = GetSystemMetrics(SM_CYICON);CRect rect;GetClientRect(&rect);int x = (rect.Width() - cxIcon + 1) / 2;int y = (rect.Height() - cyIcon + 1) / 2;// 绘制图标dc.DrawIcon(x, y, m_hIcon);}else{CDialogEx::OnPaint();}
}//当用户拖动最小化窗口时系统调用此函数取得光标
//显示。
HCURSOR COpenCVFunctionTestDlg::OnQueryDragIcon()
{return static_cast<HCURSOR>(m_hIcon);
}void COpenCVFunctionTestDlg::OnBnClickedButtonFilter2d()
{// TODO: 在此添加控件通知处理程序代码CString strPicPath = sdf.OpenSuffixFile(_T(".jpg"));if (strPicPath == CString()){return;}CCvImage ccv(strPicPath);//ccv.ShowImgAutoSize();cv::Mat MDst;cv::Mat mk = cv::Mat::ones(3,3,CV_32F);float k[9] = {1.0, -2.0, 1.0,   4.0, -2.0 , -1.0,  4.0, -2.0, 2.0};for (int i = 0; i < 3; ++i){for (int j = 0; j < 3; ++j){mk.at<float>(i,j) = k[i * 3 + j];}}cv::filter2D(ccv.m_Minput, MDst, CV_32F, mk);//ccv.ShowImgAutoSize(MDst, _T("opencv自带的卷积"));//测试SSE卷积cv::Mat Mdata=cv::Mat(MDst.rows,MDst.cols,CV_32F,cv::Scalar::all(0));ccv.m_Minput.convertTo(Mdata, CV_32F);//ccv.ShowImgAutoSize(Mdata, _T("浮点型"));CFilteringSSE fsse;fsse.ResizeTheMat(MDst.cols, MDst.rows, (float*)Mdata.data);fsse.MultiplySSE(k, (float*)Mdata.data, (((MDst.cols) + 3) / 4 * 4) * MDst.rows);ccv.ShowImgAutoSize(Mdata, _T("卷积SSE"));
}void COpenCVFunctionTestDlg::OnBnClickedButtonTestclass()
{// TODO: 在此添加控件通知处理程序代码SendMessage(WM_CLOSE);//CTestClass tc;//tc.DoModal();
}void COpenCVFunctionTestDlg::OnBnClickedButtonResize()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".jpg");if (strFilePath == CString()){return;}CCvImage cvi(strFilePath);Mat Mnew;cv::resize(cvi.m_Minput, Mnew, cvSize(200, 150), 0, 0);//    IplImage IImg = Mnew;
//  cvSmooth(&IImg, &IImg);cvi.ShowImgAutoSize(Mnew);}//全局变量声明
Mat g_srcImage, g_dstImage;
int g_nTrackbarNumer = 0;
int g_nStructElementSize = 3;//-----------------------------【Process( )函数】------------------------------------
//       描述：进行自定义的腐蚀和膨胀操作
//-----------------------------------------------------------------------------------------
void Process()
{//获取自定义核Mat element = getStructuringElement(MORPH_RECT, Size(2*g_nStructElementSize+1,2*g_nStructElementSize+1),Point( g_nStructElementSize, g_nStructElementSize ));//进行腐蚀或膨胀操作if(g_nTrackbarNumer== 0) {   erode(g_srcImage,g_dstImage, element);}else if(g_nTrackbarNumer== 1){//闭运算 先膨胀后腐蚀dilate(g_srcImage,g_dstImage, element);erode(g_dstImage,g_dstImage, element);}else{dilate(g_srcImage,g_dstImage, element);}//显示效果图imshow("Effect", g_dstImage);imwrite("Effect.tif", g_dstImage);
}//-----------------------------【on_TrackbarNumChange( )函数】------------------------------------
//       描述：腐蚀和膨胀之间切换开关的回调函数
//-----------------------------------------------------------------------------------------------------
void on_TrackbarNumChange(int, void *)
{//腐蚀和膨胀之间效果已经切换，回调函数体内需调用一次Process函数，使改变后的效果立即生效并显示出来Process();
}//-----------------------------【on_ElementSizeChange( )函数】-------------------------------------
//       描述：腐蚀和膨胀操作内核改变时的回调函数
//-----------------------------------------------------------------------------------------------------
void on_ElementSizeChange(int, void *)
{//内核尺寸已改变，回调函数体内需调用一次Process函数，使改变后的效果立即生效并显示出来Process();
}void COpenCVFunctionTestDlg::OnBnClickedButtonErodedilate()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenFile();//改变console字体颜色//system("color5E");g_srcImage = imread(sdf.CString2Char(strFilePath));if (!g_srcImage.data){return;}namedWindow("Ori");imshow("Ori", g_srcImage);namedWindow("Effect");Process();Mat element = getStructuringElement(MORPH_RECT, Size(2*g_nStructElementSize + 1, 2 * g_nStructElementSize + 1),Point(g_nStructElementSize, g_nStructElementSize));createTrackbar("E/DE/D", "Effect", &g_nTrackbarNumer,2,on_TrackbarNumChange);createTrackbar("Element", "Effect", &g_nStructElementSize,21, on_ElementSizeChange);
}void COpenCVFunctionTestDlg::OnBnClickedButtonRenamefiles()
{// TODO: 在此添加控件通知处理程序代码SendMessage(WM_CLOSE);CRenameFiles crf;crf.DoModal();
}void COpenCVFunctionTestDlg::OnBnClickedButtonCalcGlcm()
{// TODO: Add your control notification handler code hereCString strPicDir = sdf.BrowseDir("请选择图片文件夹");if (strPicDir.GetLength() > 0){CStringArray arrFileInDir;sdf.ReadDirFiles(strPicDir, &arrFileInDir, ".jpg");sdf.ReadDirFiles(strPicDir, &arrFileInDir, ".png");for (int i = 0; i < arrFileInDir.GetCount(); ++i){std::list<CString> lContent;Mat mSrc = imread(sdf.CString2Char(arrFileInDir[i]));Mat mGray;cv::cvtColor(mSrc, mGray, CV_RGB2GRAY);double featureVector[4];cvi.CalcGLCM(mGray, GLCM_ANGLE_VERTICAL, featureVector);lContent.push_back("熵：" + sdf.Float2Cstring(featureVector[0]) + '\n');lContent.push_back("能量：" + sdf.Float2Cstring(featureVector[1]) + '\n');lContent.push_back("对比度：" + sdf.Float2Cstring(featureVector[2]) + '\n');lContent.push_back("一致性：" + sdf.Float2Cstring(featureVector[3]) + '\n');sdf.SaveTXTFile(sdf.ReplaceSuffix(arrFileInDir[i], ".txt"), lContent);putText(mSrc,sdf.CString2Char("entropy:" + sdf.Float2Cstring(featureVector[0])),Point(0,30),FONT_HERSHEY_PLAIN, 1.0,Scalar(255,255,255),1);putText(mSrc,sdf.CString2Char("energy:" + sdf.Float2Cstring(featureVector[1])),Point(0,60),FONT_HERSHEY_PLAIN, 1.0,Scalar(255,255,255),1);putText(mSrc,sdf.CString2Char("contrast:" + sdf.Float2Cstring(featureVector[2])),Point(0,90),FONT_HERSHEY_PLAIN, 1.0,Scalar(255,255,255),1);putText(mSrc,sdf.CString2Char("homogenity:" + sdf.Float2Cstring(featureVector[3])),Point(0,120),FONT_HERSHEY_PLAIN, 1.0,Scalar(255,255,255),1);imwrite(sdf.CString2Char(sdf.ReplaceSuffix(arrFileInDir[i], ".bmp")), mSrc);}MessageBox("完成！", "提示", MB_ICONINFORMATION);}
}void COpenCVFunctionTestDlg::OnBnClickedButtonMergerects()
{// TODO: Add your control notification handler code herecv::Mat mSrc = cv::Mat::zeros(cv::Size(800, 600), CV_8UC1);std::vector<std::vector<cv::Point>> vContours;vContours.push_back(GenerateRect(cv::Point(200, 0), 100, 100));for (int i = 0; i < vContours.size(); ++i){cv::drawContours(mSrc, vContours, i, cv::Scalar(255), CV_FILLED);}//寻找轮廓Mat mCanny;std::vector<Vec4i> hierarchy;mSrc.copyTo(mCanny);std::vector <std::vector<Point>> vFindContours;findContours(mCanny, vFindContours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));putText(mSrc,sdf.CString2Char("ConNum: " + sdf.Int2Cstring(vFindContours.size())),Point(0,30),FONT_HERSHEY_PLAIN, 1.0,Scalar(255,255,255),1);cv::imshow("Ori", mSrc);cv::waitKey();}std::vector<cv::Point> COpenCVFunctionTestDlg::GenerateRect( cv::Point pLeftUp, const int& nWidth, const int& nHeight )
{std::vector<cv::Point> vPts;vPts.push_back(cv::Point(pLeftUp.x, pLeftUp.y));vPts.push_back(cv::Point(pLeftUp.x + nWidth, pLeftUp.y));vPts.push_back(cv::Point(pLeftUp.x + nWidth, pLeftUp.y + nHeight));vPts.push_back(cv::Point(pLeftUp.x, pLeftUp.y + nHeight));return vPts;
}int edgeThresh1 = 100;
int edgeThresh2 = 200;
// 声明 原始图片，灰度图片，和 canny边缘图片
Mat g_image, cedge;
Mat g_gray, edge;
bool bContour;int ShowAllContours(const Mat& mSrc, const Mat& mCanny, std::vector<std::vector<cv::Point>>& contours)
{cv::Mat dst, canny_output;if (!mCanny.data){return -1;}contours.clear();std::vector<Vec4i> hierarchy;if (mCanny.channels() == 3){cvtColor(mCanny, canny_output, CV_RGB2GRAY);}else{mCanny.copyTo(canny_output);}findContours(canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));//CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLERNG rng;Mat mCanvas = mSrc.clone();for (int i = 0; i < contours.size(); i++){//随机颜色Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));drawContours(mCanvas, contours, i, color, 2, 8, hierarchy, 0, Point());}//为了防止findContours函数的bugimshow("mCanvas", mCanvas);waitKey();return contours.size();
}void onTrackbar(int, void*)
{//blur 灰度图片blur(g_gray, edge, Size(3,3));// Canny 边缘检测Canny(g_gray,edge, edgeThresh1, edgeThresh2, 3);//全部设为0cedge = Scalar::all(0);//拷贝边缘的象素点g_image.copyTo(cedge, edge);imshow("Edge map", cedge);if (bContour){std::vector<std::vector<cv::Point>> contours;blur(cedge, cedge, Size(3, 3));ShowAllContours(g_image, cedge, contours);}
}void COpenCVFunctionTestDlg::OnBnClickedButtonCanny()
{// TODO: Add your control notification handler code here//从文件中读入图像CString strFilePath = sdf.OpenFile();g_image = imread(sdf.CString2Char(strFilePath));//如果读入图像失败if(g_image.empty()){fprintf(stderr, "Can not load image\n");return;}// 生成灰度图片，因为只有灰度图片才能生成边缘图片cedge.create(g_image.size(), g_image.type());cvtColor(g_image,g_gray, CV_BGR2GRAY);//新建一个窗口namedWindow("Edge map", 1);// 生成一个进度条来控制边缘检测createTrackbar("Threshold1", "Edge map", &edgeThresh1, 800, onTrackbar);createTrackbar("Threshold2", "Edge map", &edgeThresh2, 800, onTrackbar);bContour = ((CButton*)GetDlgItem(IDC_CHECK_CONTOUR))->GetCheck();//初始化图像onTrackbar(0,0);//此函数等待按键，按键盘任意键就返回waitKey();}void BlurImage(int, void*)
{Mat mBlur = g_image.clone();blur(mBlur, mBlur, Size(edgeThresh1, edgeThresh1));imshow("Blur", mBlur);
}void COpenCVFunctionTestDlg::OnBnClickedButtonBlur()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();g_image = imread(sdf.CString2Char(strFilePath));edgeThresh1 = 3;cv::namedWindow("Blur");createTrackbar("Threshold1", "Blur", &edgeThresh1, 20, BlurImage);BlurImage(0, 0);
}void COpenCVFunctionTestDlg::OnBnClickedButtonGabor()
{// TODO: Add your control notification handler code here//创建一个方向是PI/4而尺度是3的gabordouble Sigma = 2*PI;double F = sqrt(2.0);CvGabor *gabor1 = new CvGabor; gabor1->Init(PI * 3 / 8, 3, Sigma, F);//获得实部并显示它IplImage *kernel = cvCreateImage( cvSize(gabor1->get_mask_width(), gabor1->get_mask_width()), IPL_DEPTH_8U, 1);kernel = gabor1->get_image(CV_GABOR_REAL);cvNamedWindow("Gabor Kernel", 1);cvShowImage("Gabor Kernel", kernel);cvWaitKey(10);//载入一个图像并显示CString strFilePath = sdf.OpenFile();IplImage *img = cvLoadImage(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE );cvNamedWindow("Original Image", 1);cvShowImage("Original Image", img);cvWaitKey(10);  //获取载入图像的gabor滤波响应的实部并且显示IplImage *reimg = cvCreateImage(cvSize(img->width,img->height), IPL_DEPTH_8U, 1);gabor1->conv_img(img, reimg, CV_GABOR_REAL);cvNamedWindow("Real Response", 1);cvShowImage("Real Response",reimg);cvWaitKey(10);cvDestroyWindow("Real Response");//获取载入图像的gabor滤波响应的虚部并且显示IplImage *reimg2 = cvCreateImage(cvSize(img->width,img->height), IPL_DEPTH_8U, 1);gabor1->conv_img(img, reimg2, CV_GABOR_IMAG);cvNamedWindow("Imaginary Response", 1);cvShowImage("Imaginary Response",reimg2);cvWaitKey(10);cvDestroyWindow("Imaginary Response");//获取载入图像的gabor滤波响应的模并且显示IplImage *reimg3 = cvCreateImage(cvSize(img->width,img->height), IPL_DEPTH_8U, 1);gabor1->conv_img(img, reimg3, CV_GABOR_MAG);cvNamedWindow("Magnitude Response", 1);cvShowImage("Magnitude Response",reimg3);cvWaitKey(0);cvDestroyWindow("Magnitude Response");
}void COpenCVFunctionTestDlg::OnBnClickedButtonGabors()
{// TODO: Add your control notification handler code heredouble Sigma = 2*PI;double F = sqrt(2.0);CvGabor *gabor1[9];//载入一个图像并显示CString strFilePath = sdf.OpenFile();if (!strFilePath.GetLength()){return;}IplImage *img = cvLoadImage(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE );IplImage *reimg3 = cvCreateImage(cvSize(img->width,img->height), IPL_DEPTH_8U, 1);for (int i = 0; i < 9; ++i){gabor1[i] = new CvGabor;gabor1[i]->Init(PI * i / 8, 3, Sigma, F);gabor1[i]->conv_img(img, reimg3, CV_GABOR_MAG);CString strSavePath = sdf.GetDirOfFile(strFilePath) + "\\" + sdf.GetNameOfFile(strFilePath, false) +sdf.Int2Cstring(i) + sdf.GetNameOfSuffix(strFilePath);cvSaveImage(sdf.CString2Char(strSavePath), reimg3);}cvReleaseImage(&reimg3);MessageBox("おわり！", "提示", MB_ICONINFORMATION);
}cv::Mat mBinSrc;
int nBinThresh = 100;
void BinPic(int, void*)
{cv::Mat mBin = mBinSrc.clone();cv::threshold(mBin, mBin, nBinThresh, 255, THRESH_BINARY);imshow("Bin", mBin);
}void COpenCVFunctionTestDlg::OnBnClickedButtonBin()
{// TODO: Add your control notification handler code hereCString strPicPath = sdf.OpenFile();if (!strPicPath.GetLength()){return;}cv::namedWindow("Bin");mBinSrc = cv::imread(sdf.CString2Char(strPicPath), CV_LOAD_IMAGE_GRAYSCALE);cv::createTrackbar("阈值", "Bin", &nBinThresh, 255, BinPic);BinPic(0, 0);cv::waitKey();
}cv::Mat mkKernel(int ks, double sig, double th, double lm, double ps)
{int hks = (ks-1)/2;double theta = th*CV_PI/180;double psi = ps*CV_PI/180;double del = 2.0/(ks-1);double lmbd = lm;double sigma = sig/ks;double x_theta;double y_theta;cv::Mat kernel(ks,ks, CV_32F);for (int y=-hks; y<=hks; y++){for (int x=-hks; x<=hks; x++){x_theta = x*del*cos(theta)+y*del*sin(theta);y_theta = -x*del*sin(theta)+y*del*cos(theta);kernel.at<float>(hks+y,hks+x) = (float)exp(-0.5*(pow(x_theta,2)+pow(y_theta,2))/pow(sigma,2))* cos(2*CV_PI*x_theta/lmbd + psi);}}return kernel;
}int kernel_size=21;
int pos_sigma= 5;
int pos_lm = 50;
int pos_th = 0;
int pos_psi = 90;
cv::Mat src_f;
cv::Mat dest;void Process(int , void *)
{double sig = pos_sigma;double lm = 0.5+pos_lm/100.0;double th = pos_th;double ps = pos_psi;cv::Mat kernel = mkKernel(kernel_size, sig, th, lm, ps);cv::filter2D(src_f, dest, CV_32F, kernel);cv::imshow("Process window", dest);cv::Mat Lkernel(kernel_size*20, kernel_size*20, CV_32F);cv::resize(kernel, Lkernel, Lkernel.size());Lkernel /= 2.;Lkernel += 0.5;cv::imshow("Kernel", Lkernel);cv::Mat mag;cv::pow(dest, 2.0, mag);cv::imshow("Mag", mag);
}void COpenCVFunctionTestDlg::OnBnClickedButtonGabor2()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (!strFilePath.GetLength()){return;}cv::Mat mImg = cv::imread(sdf.CString2Char(strFilePath),1);cv::imshow("Src", mImg);cv::Mat src;cv::cvtColor(mImg, src, CV_BGR2GRAY);src.convertTo(src_f, CV_32F, 1.0/255, 0);if (!kernel_size%2){kernel_size+=1;}cv::namedWindow("Process window", 1);cv::createTrackbar("Sigma", "Process window", &pos_sigma, kernel_size, Process);cv::createTrackbar("Lambda", "Process window", &pos_lm, 100, Process);cv::createTrackbar("Theta", "Process window", &pos_th, 180, Process);cv::createTrackbar("Psi", "Process window", &pos_psi, 360, Process);Process(0,0);cv::waitKey(0);return;
}#include "facedetect.h"
#include "gledcvClass.h"
void COpenCVFunctionTestDlg::OnBnClickedButtonPca()
{// TODO: Add your control notification handler code here//AllocConsole();//注意检查返回值//FaceDetect(NULL, NULL);for (int i = 1; i < 5; ++i){char** argv = new char*[5];argv[1] = sdf.CString2Char(sdf.OpenFile()); //选择模板argv[2] = sdf.CString2Char(sdf.OpenFile()); //选择照片argv[3] = "30";argv[4] = "0.9";CGledcv gc(argv);}AfxMessageBox("おわり！");
}void COpenCVFunctionTestDlg::OnBnClickedButtonAutocanny()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){cv::Mat mSrc = imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);cv::Mat mDst;//预处理很重要erode(mSrc, mDst, Mat(5, 5, CV_8U), Point(-1, -1), 3);dilate(mDst, mDst, Mat(5, 5, CV_8U), Point(-1, -1), 3);adaptiveThreshold(mDst, mDst, 255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY_INV, 3, 5);cvi.ShowImgAutoSize(mDst, "自动阈值", 1920, 1080, false);cv::waitKey();}
}void COpenCVFunctionTestDlg::OnBnClickedButtonFlip()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){cv::Mat mSrc = imread(sdf.CString2Char(strFilePath));cv::Mat mDst;cv::flip(mSrc, mDst, 0);cvi.ShowImgAutoSize(mSrc, "mSrc", 1920, 1080, false);cvi.ShowImgAutoSize(mDst, "mDst", 1920, 1080, false);cv::waitKey();}
}void COpenCVFunctionTestDlg::OnBnClickedButtonWatershed()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){WaterShed(sdf.CString2Char(strFilePath));}
}void COpenCVFunctionTestDlg::OnBnClickedButtonWatershed2()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){CString strFilePathBin = sdf.OpenFile();CString strFilePathTower = sdf.OpenFile();Segment(sdf.CString2Char(strFilePath), sdf.CString2Char(strFilePathBin), sdf.CString2Char(strFilePathTower));}
}void COpenCVFunctionTestDlg::OnBnClickedButtonKmeans()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){KMeans(sdf.CString2Char(strFilePath));}
}void COpenCVFunctionTestDlg::OnBnClickedButtonMeanshift()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){MeanShift(sdf.CString2Char(strFilePath));}
}void COpenCVFunctionTestDlg::OnBnClickedButtonHough()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();BOOL bCannyInput  = ((CButton*)(GetDlgItem(IDC_CHECK_CANNYINPUT)))->GetCheck();if (strFilePath.GetLength()){cv::Mat mSrc = imread(sdf.CString2Char(strFilePath));cv::Mat mHough;cv::cvtColor(mSrc, mHough, CV_RGB2GRAY);if (!bCannyInput){cv::erode(mHough, mHough, Mat(5, 5, CV_8U), Point(-1, -1));cv::dilate(mHough,  mHough, Mat(5, 5, CV_8U), Point(-1, -1));cv::blur(mHough, mHough, cv::Size(3, 3));cv::adaptiveThreshold(mHough, mHough, 255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY_INV, 3, 5);}cv::blur(mHough, mHough, cv::Size(2, 2));//cv::dilate(mHough,  mHough, Mat(5, 5, CV_8U), Point(-1, -1));//cv::erode(mHough, mHough, Mat(5, 5, CV_8U), Point(-1, -1));imshow("mHough", mHough);waitKey();std::vector<Vec4i> lines;HoughLinesP(mHough, lines, 1, CV_PI / 180, 40, 30, 3);RNG rng;for (int i = 0; i < lines.size(); ++i){Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));cv::line(mSrc, cv::Point(lines[i].val[0], lines[i].val[1]), cv::Point(lines[i].val[2], lines[i].val[3]), color, 2);}if (mSrc.cols > 1920 || mSrc.rows > 1080){imwrite(sdf.CString2Char(sdf.ReplaceSuffix(strFilePath, "h.jpg")), mSrc);MessageBox("图片太大，结果已经保存为:\n" + sdf.ReplaceSuffix(strFilePath, "h.jpg"), "提示", MB_ICONINFORMATION);}else{imshow("霍夫变换", mSrc);waitKey();}}
}#include "HoughTransP.h"
void COpenCVFunctionTestDlg::OnBnClickedButtonHoughc()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){IplImage* pImage = cvLoadImage(strFilePath);IplImage* pGray = cvCreateImage(cvGetSize(pImage), IPL_DEPTH_8U, 1);IplImage* pCanvas = cvCloneImage(pImage);
//      cvCvtColor(pImage, pGray, CV_RGB2GRAY);
//      cvErode(pGray, pGray);
//      cvDilate(pGray, pGray);
//      cvSmooth(pGray, pGray);
//      cvAdaptiveThreshold(pGray, pGray, 255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY_INV);
//      cvSmooth(pGray, pGray);cv::Mat mSrc = pImage;cv::Mat mHough;cv::cvtColor(mSrc, mHough, CV_RGB2GRAY);cv::erode(mHough, mHough, Mat(5, 5, CV_8U), Point(-1, -1));cv::dilate(mHough,  mHough, Mat(5, 5, CV_8U), Point(-1, -1));cv::blur(mHough, mHough, cv::Size(3, 3));cv::adaptiveThreshold(mHough, mHough, 255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY_INV, 3, 5);cv::blur(mHough, mHough, cv::Size(2, 2));IplImage GrayImg = mHough;cvShowImage("canny", &GrayImg);int nMaxLines = 100;int nLines;int* result = HoughTransP(&GrayImg, 40, 15, 2, nMaxLines, &nLines);cv::RNG rng;for (int i = 0; i < nLines; ++i){Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));cvLine(pCanvas, cvPoint(result[i * 4], result[i * 4 + 1]), cvPoint(result[i * 4 + 2], result[i * 4 + 3]), color, 2);}IplImage* pGray3c = cvCreateImage(cvGetSize(pGray), IPL_DEPTH_8U, 3);cvCvtColor(&GrayImg, pGray3c, CV_GRAY2BGR);for (int i = 0; i < nLines; ++i){Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));cvLine(pGray3c, cvPoint(result[i * 4], result[i * 4 + 1]), cvPoint(result[i * 4 + 2], result[i * 4 + 3]), color, 2);}cvShowImage("Hough", pCanvas);cvShowImage("CannyLine", pGray3c);cvWaitKey();cvReleaseImage(&pImage);cvReleaseImage(&pGray);cvReleaseImage(&pGray3c);cvReleaseImage(&pCanvas);}
}void COpenCVFunctionTestDlg::OnBnClickedButtonPicadd()
{// TODO: Add your control notification handler code hereCString strDirPath = sdf.BrowseDir();std::list<CString> lFilesInDir;sdf.ReadDirFiles(strDirPath, lFilesInDir, ".tif", false);for (std::list<CString>::iterator it = lFilesInDir.begin(); it!= lFilesInDir.end();){if (it->Find("_h") != -1){std::list<CString>::iterator it_tmp = it++;lFilesInDir.erase(it_tmp);}else{++it;}}for (std::list<CString>::iterator it = lFilesInDir.begin(); it!= lFilesInDir.end(); ++it){CString strFile = *it;CString strTfw = sdf.ReplaceSuffix(*it, ".tfw");CString strMergeFile = sdf.ReplaceSuffix(*it, "_h.tif");CString strMergeTfw = sdf.ReplaceSuffix(*it, "_h.tfw");CString strSavePath = sdf.ReplaceSuffix(*it, "_a.tif");if (sdf.IfExistsFile(strFile) && sdf.IfExistsFile(strMergeFile)){cv::Mat mSrc = imread(sdf.CString2Char(strFile));cv::Mat mSrc_h = imread(sdf.CString2Char(strMergeFile));cv::Mat mSrcResize;cv::resize(mSrc, mSrcResize, mSrc_h.size());cv::Mat mSrc_a;cv::addWeighted(mSrc_h, 0.5, mSrcResize, 0.5, 0, mSrc_a);imwrite(sdf.CString2Char(strSavePath), mSrc_a);}}MessageBox("处理完成!", "提示！", MB_ICONINFORMATION);
}void COpenCVFunctionTestDlg::OnBnClickedButtonHist()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){cv::Mat mSrc = imread(sdf.CString2Char(strFilePath), 0);cv::Mat mDst;cv::equalizeHist(mSrc, mDst);imshow("src", mSrc);imshow("equalizeHist", mDst);cv::waitKey();}
}void COpenCVFunctionTestDlg::OnBnClickedButtonHists()
{// TODO: Add your control notification handler code hereCString strDir = sdf.BrowseDir();CString strHist = strDir + "\\Hist";if (!sdf.IfExistsDir(strHist)){CreateDirectory(strHist, NULL);}std::list<CString> lFiles;sdf.ReadDirFiles(strDir, lFiles, ".tif", false);for (std::list<CString>::iterator it = lFiles.begin(); it != lFiles.end(); ++it){cv::Mat mSrc = imread(sdf.CString2Char(*it), 0);cv::Mat mDst;cv::equalizeHist(mSrc, mDst);CString strSave = strHist + "\\" + sdf.GetNameOfFile(*it);imwrite(sdf.CString2Char(strSave), mDst);}MessageBox("处理完成!", "提示！", MB_ICONINFORMATION);
}void COpenCVFunctionTestDlg::OnBnClickedButtonBuilddetect()
{// TODO: Add your control notification handler code hereCString strDirPath = sdf.BrowseDir();std::list<CString> lFilesInDir;sdf.ReadDirFiles(strDirPath, lFilesInDir, ".tif", false);for (std::list<CString>::iterator it = lFilesInDir.begin(); it != lFilesInDir.end(); ++it){cv::Mat mSrc = imread(sdf.CString2Char(*it), CV_LOAD_IMAGE_COLOR);cv::Mat mGray, mDilate;cv::cvtColor(mSrc, mGray, CV_RGB2GRAY);cv::dilate(mGray, mDilate, cv::Mat());cv::Mat mContours;cv::absdiff(mDilate, mGray, mContours);//imshow("contours", mContours);//cv::waitKey();std::vector<std::vector<cv::Point>> contours;std::vector<Vec4i> hierarchy;cv::Mat mForContours = mContours.clone();cv::findContours(mForContours, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));cv::RNG rng;for (int i = 0; i < contours.size(); ++i){if (contours[i].size() < 4) continue;if (contourArea(contours[i]) < 2500){//面积太小的区域不适合用次方法判断continue;}cv::Rect rect = boundingRect(contours[i]);cv::Mat mRoi(mContours, rect);std::vector<cv::Vec4i> lines;cv::Mat mHough = mRoi.clone();cv::blur(mHough, mHough, cv::Size(2, 2));HoughTransP(mHough, lines, 1, CV_PI / 180, 40, 15, 2);cv::Mat mHoughCanvas = mSrc;RNG rng;for (int j = 0; j < lines.size(); ++j){Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));cv::line(mHoughCanvas, cv::Point(lines[j].val[0] + rect.x, lines[j].val[1] + rect.y),cv::Point(lines[j].val[2] + rect.x, lines[j].val[3] + rect.y), color, 2);cv::putText(mHoughCanvas, sdf.CString2Char(sdf.Int2Cstring(lines.size())),Point(rect.x, rect.y), FONT_HERSHEY_PLAIN, 1.0, Scalar(0, 255, 0), 1);}if (lines.size() >= 2){drawContours(mHoughCanvas, contours, i, cv::Scalar(0, 255, 0));}else{drawContours(mHoughCanvas, contours, i, cv::Scalar(0, 0, 255));}imshow("mHoughCanvas", mHoughCanvas);cv::waitKey();cv::destroyWindow("mHoughCanvas");}}MessageBox("处理完成!", "提示！", MB_ICONINFORMATION);
}void COpenCVFunctionTestDlg::OnBnClickedButtonSpix()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){cv::Mat mSrc = imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);int pix = mSrc.at<uchar>(cv::Point(1, 0));pix = mSrc.at<uchar>(1, 0); //跟上一个不一样pix = mSrc.at<uchar>(cv::Point(3, 4));pix = mSrc.at<uchar>(4, 3); //跟上一个一样MessageBox(sdf.Int2Cstring(pix), "像素值", MB_ICONINFORMATION);}
}void COpenCVFunctionTestDlg::OnBnClickedButtonContour()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){cv::Mat mSrc = imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);#ifdef _AFXDLLstd::vector<std::vector<cv::Point>> contours;std::vector<cv::Vec4i> hierarchy;
#elsestd::vector<Mat> contours(100);std::vector<Vec4i> hierarchy(100);
#endif // _AFXDLLcv::findContours(mSrc, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));for (int i = 0; i < contours.size(); ++i){CString strContent;#ifdef _AFXDLLfor (int j = 0; j < contours[i].size(); ++j){strContent += "x=" + sdf.Int2Cstring(contours[i][j].x) +  " y=" + sdf.Int2Cstring(contours[i][j].x) + " || ";}
#else//如果使用mat作为参数for (int n = 0; n < contours[i].rows; ++n){uchar* data = contours[i].ptr<uchar>(n);for (int m = 0; m < contours[i].cols; ++m){int da = data[m];strContent += sdf.Int2Cstring(da) +  " | ";}}
#endif // _AFXDLLcv::Rect rect = boundingRect(contours[i]);cv::Mat mCanvas = cv::Mat::zeros(cv::Size(mSrc.cols, mSrc.rows), CV_8UC3);cv::putText(mCanvas, sdf.CString2Char(strContent), cv::Point(rect.x, rect.y), FONT_HERSHEY_PLAIN, 1.0, cv::Scalar(0,255,0));drawContours(mCanvas, contours, i, Scalar(0,0,255), 1);imshow("contour", mCanvas);waitKey();MessageBox(strContent, "轮廓坐标！", MB_ICONINFORMATION);}}
}void COpenCVFunctionTestDlg::OnBnClickedButtonFit()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();//输入二值图if (strFilePath.GetLength()){//得到轮廓cv::Mat mSrc = imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_COLOR);cv::Mat mGray;cv::cvtColor(mSrc, mGray, CV_RGB2GRAY);std::vector<std::vector<cv::Point>> contours;std::vector<Vec4i> hierarchy;cv::findContours(mGray, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));cv::Mat mCanvas = mSrc.clone();for (int i = 0; i < contours.size(); ++i){cv::Rect rect = boundingRect(contours[i]);//原来的图像drawContours(mCanvas, contours, i, Scalar(0,0,255), 2);cv::Scalar color = cv::Scalar(255,0,0);cv::line(mCanvas, cv::Point(rect.x, rect.y), cv::Point(rect.x + rect.width, rect.y), color, 2);cv::line(mCanvas, cv::Point(rect.x + rect.width, rect.y), cv::Point(rect.x + rect.width, rect.y + rect.height), color, 2);cv::line(mCanvas, cv::Point(rect.x + rect.width, rect.y + rect.height), cv::Point(rect.x, rect.y + rect.height), color, 2);cv::line(mCanvas, cv::Point(rect.x, rect.y + rect.height), cv::Point(rect.x, rect.y), color, 2);}imshow("contour", mCanvas);waitKey();mCanvas = mSrc.clone();for (int i = 0; i < contours.size(); ++i){//原来的图像drawContours(mCanvas, contours, i, Scalar(0,0,255), 2);//旋转矩形拟合cv::RotatedRect Rrect = minAreaRect(contours[i]);cv::Point2f pf[4];Rrect.points(pf);cv::Scalar color = cv::Scalar(0, 255, 0);for (int j = 0; j < 3; ++j){line(mCanvas, pf[j], pf[j + 1], color, 2);}line(mCanvas, pf[0], pf[3], color, 2);}imshow("contour", mCanvas);waitKey();#ifdef _AFXDLLmCanvas = mSrc.clone();for (int i = 0; i < contours.size(); ++i){//原来的图像drawContours(mCanvas, contours, i, Scalar(0,0,255), 2);cv::Scalar color = cv::Scalar(255, 255, 0);//多边形拟合//静态库的时候，该函数有内存问题//参数为：输入图像的2维点集，输出结果，估计精度，是否闭合std::vector<cv::Point> vPtOut;approxPolyDP(Mat(contours[i]), vPtOut, 5, true);//std::cout << "多边形大小：" << poly.size() << std::endl;//画出结果  std::vector<Point>::const_iterator itp = vPtOut.begin();while (itp != vPtOut.end() - 1){line(mCanvas, *itp, *(itp + 1), color, 2);++itp;}//将第一个点和最后一点连起来  Point p1 = *(vPtOut.begin());Point p2 = *(vPtOut.end() - 1);line(mCanvas, *(vPtOut.begin()), *(vPtOut.end() - 1), color, 2);}cv::imshow("contour", mCanvas);cv::waitKey();
#endif // _AFXDLLcv::destroyAllWindows();}
}void COpenCVFunctionTestDlg::OnBnClickedButtonFitline()
{// TODO: Add your control notification handler code hereIplImage* img = cvCreateImage( cvSize( 500, 500 ), 8, 3 );CvRNG rng = cvRNG(-1); //cvRNG()跟一般的C语言srand()使用方法一样，要先给它一个种子，//但srand()用到的是unsigned int的32位种子范围，而cvRNG()用的是64位长整数种子。//初始化CvRNG资料结构，假如seed给0，它将会自动转成-1  cvRNG(64位种子)cvNamedWindow( "fitline", 1 );for(;;){char key;int i;int  count = cvRandInt(&rng)%100 + 1; //产生1-100 之间的数int outliers = count/5; // 奇异点的个数。0--20 之间的数printf("count = %d", count);float a = cvRandReal(&rng)*200;  // 0~ 199 之间的浮点数 [cvRandReal 浮点型随机数并更新 RNG ,范围在 0..1 之间，不包括 。float b = cvRandReal(&rng)*40; //返回0 ~ 39之间的数float angle = cvRandReal(&rng)*CV_PI;  printf("count = %f", angle);float cos_a = cos(angle), sin_a = sin(angle);printf("cos_a = %f", cos_a);CvPoint pt1, pt2; //直线的两个端点CvPoint* points = (CvPoint*)malloc( count * sizeof(points[0])); //存放随机产生的点点，数目为countCvMat pointMat = cvMat( 1, count, CV_32SC2, points ); //点集, 存储count个随机点pointsfloat line[4]; //输出的直线参数。2D 拟合情况下，它是包含 4 个浮点数的数组 (vx, vy, x0, y0)//其中 (vx, vy) 是线的单位向量而 (x0, y0) 是线上的某个点float d, t;b = MIN(a*0.3, b);// generate some points that are close to the linefor( i = 0; i < count - outliers; i++ ){float x = (cvRandReal(&rng)*2-1)*a;float y = (cvRandReal(&rng)*2-1)*b;points[i].x = cvRound(x*cos_a - y*sin_a + img->width/2);points[i].y = cvRound(x*sin_a + y*cos_a + img->height/2);}// generate "completely off" pointsfor( ; i < count; i++ ){points[i].x = cvRandInt(&rng) % img->width;points[i].y = cvRandInt(&rng) % img->height;}// find the optimal line 曲线拟合cvFitLine( &pointMat, CV_DIST_L1, 1, 0.001, 0.001, line ); cvZero( img );//画出产生的随机分布的点点for( i = 0; i < count; i++ )cvCircle( img, points[i], 2, i < count - outliers ? CV_RGB(255, 0, 0) :CV_RGB(255,255,0), CV_FILLED, CV_AA, 0 );// ... and the long enough line to cross the whole imaged = sqrt((double)line[0]*line[0] + (double)line[1]*line[1]);  //line[0 & 1]存储的是单位向量，所以d=1//printf("\n %f\n", d);line[0] /= d;line[1] /= d;//画出线段的两个端点(避免线太短，以线上一个随机点向两侧延伸line[0]*t )t = (float)(img->width + img->height) ;pt1.x = cvRound(line[2] - line[0]*t);pt1.y = cvRound(line[3] - line[1]*t);pt2.x = cvRound(line[2] + line[0]*t);pt2.y = cvRound(line[3] + line[1]*t);cvLine( img, pt1, pt2, CV_RGB(0,255,0), 3, CV_AA, 0 );cvShowImage( "fitline", img );key = (char) cvWaitKey(0);if( key == 27 || key == 'q' || key == 'Q' ) // 'ESC'break;free( points );}cvDestroyWindow( "fitline" );return;}bool fittingCurve(vector<Point> &vec,int times,float *p) //输入点，次数，输出曲线参数
{float *py = new float[vec.size()];float *px = new float[times*vec.size()];int i = 0;Point* P = &vec[0];for(vector<Point>::iterator itr = vec.begin();itr!=vec.end();++itr){py[i] = (*itr).y;int j=0;while (j<times){px[times*i+j] = pow(((*itr).x),float(j));j++;}i++;}Mat X = Mat(vec.size(),times,CV_32FC1,px);float* Xp = &(X.at<float>(0));Mat X_T;transpose(X,X_T);Mat Y = Mat(vec.size(),1,CV_32FC1,py);Mat para = ((X_T*X).inv())*X_T*Y;for (int s = 0; s<times;s++){p[s] = para.at<float>(s);}delete[] px;delete[] py;return true;
}std::vector<cv::Point> vPoints;
cv::Mat g_mCanvas;
cv::Point prev_pt;void on_mouse_brokenline(int event, int x, int y, int flags, void* pParameters)
{//获取相关的参数if ( event == CV_EVENT_LBUTTONUP || !(flags & CV_EVENT_FLAG_LBUTTON))  //判断事件为松开鼠标左键或者不是左拖拽{prev_pt = cv::Point(-1, -1);}else if (event == CV_EVENT_LBUTTONDOWN)  //判断为按下左键{prev_pt = cv::Point(x, y);}else if ( event == CV_EVENT_MOUSEMOVE && (flags & CV_EVENT_FLAG_LBUTTON))  //判断移动鼠标并且左拖拽{cv::Point pt = cv::Point(x, y);if ( prev_pt.x < 0){prev_pt = pt;}vPoints.push_back(pt);cv::line(g_mCanvas, prev_pt, pt, cv::Scalar(255, 0, 0), 1 ,8,0); //原图上划线prev_pt = pt;imshow("curve", g_mCanvas);}if (event == CV_EVENT_RBUTTONUP){}
}int CurveBrokenLine(double* pX, double* pY, const int nNum, double** pOutX, double** pOutY, int* nOutNum);
void COpenCVFunctionTestDlg::OnBnClickedButtonFitcurve()
{// TODO: Add your control notification handler code here//画一条曲线cv::Mat mCanvas = cv::Mat::zeros(cv::Size(800, 600), CV_8UC3);g_mCanvas = mCanvas.clone();imshow("curve", g_mCanvas);cvSetMouseCallback("curve", on_mouse_brokenline, NULL);waitKey(0);//把获取到的点变成折线，相近的点则去掉//debug//vPoints.clear();//vPoints.push_back(cv::Point(1,10));//vPoints.push_back(cv::Point(100,10));//vPoints.push_back(cv::Point(100,100));//vPoints.push_back(cv::Point(200,100));//vPoints.push_back(cv::Point(200,200));//vPoints.push_back(cv::Point(250,250));//vPoints.push_back(cv::Point(200,250));double *pX = new double[vPoints.size()];double *pY = new double[vPoints.size()];for (int i = 0; i < vPoints.size(); ++i){pX[i] = vPoints[i].x;pY[i] = vPoints[i].y;}double* pOutX = NULL, *pOutY = NULL;int nOut;CurveBrokenLine(pX, pY, vPoints.size(), &pOutX, &pOutY, &nOut);//cv::Mat mOut = cv::Mat::zeros(g_mCanvas.size(), CV_8UC3);for (int i = 0; i < nOut - 1; ++i){cv::line(g_mCanvas, cv::Point(pOutX[i], pOutY[i]), cv::Point(pOutX[i + 1], pOutY[i + 1]), Scalar(0, 255, 0), 1);}cv::imshow("curve", g_mCanvas);cv::waitKey();}void COpenCVFunctionTestDlg::OnBnClickedButtonBilateral()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();//输入二值图if (strFilePath.GetLength()){cv::Mat mSrc = imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);cv::Mat mBilateral, mCanny;//cv::equalizeHist(mSrc, mSrc);cv::bilateralFilter(mSrc,mBilateral,25, 25*2, 25/2 );cv::adaptiveThreshold(mBilateral, mCanny, 255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY_INV, 3, 5);CString strSavePath = sdf.ReplaceSuffix(strFilePath, "bilateral.tif");CString strCannyPath = sdf.ReplaceSuffix(strFilePath, "bilateralCanny.tif");cv::imwrite(sdf.CString2Char(strSavePath), mBilateral);cv::imwrite(sdf.CString2Char(strCannyPath), mCanny);MessageBox("处理完成！", "提示", MB_ICONINFORMATION);}
}int ImgDijkstra();
void COpenCVFunctionTestDlg::OnBnClickedButtonDijkstra()
{// TODO: Add your control notification handler code hereImgDijkstra();
}int ImgShortestPath(const bool& bKeyPts);
void COpenCVFunctionTestDlg::OnBnClickedButtonShortestpath()
{// TODO: Add your control notification handler code here//优化最短路径算法bool bKeyPts = ((CButton*)GetDlgItem(IDC_CHECK_KEYPTS))->GetCheck();ImgShortestPath(bKeyPts);
}void COpenCVFunctionTestDlg::OnBnClickedButtonCutpic()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenFile();if (strFilePath.GetLength()){SendMessage(WM_CLOSE);CCutPic cp;cp.InitializePath(strFilePath);cp.DoModal();}
}void COpenCVFunctionTestDlg::OnBnClickedButtonOffsettfw()
{// TODO: Add your control notification handler code hereCString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){CString strTfw = sdf.ReplaceSuffix(strFilePath, ".tfw");if (!sdf.IfExistsFile(strTfw)){CTfwReader tr(strTfw);tr.m_dXCoordinate = tr.m_dYCoordinate = tr.m_dXRotatePara = tr.m_dYRotatePara = 0.0;tr.m_dXResolution = 0.6;tr.m_dYResolution = -0.6;tr.SaveAsTfwFile(strTfw);}SendMessage(WM_CLOSE);COffsetTifw ot;ot.InitializePath(strFilePath);ot.DoModal();}
}void COpenCVFunctionTestDlg::OnBnClickedButtonZoomtfw()
{// TODO: Add your control notification handler code hereCString strDirPath = sdf.BrowseDir("选择tfw所在目录");CString strNewDirPath = strDirPath + "\\New";if (!sdf.IfExistsDir(strNewDirPath)){CreateDirectory(strNewDirPath, NULL);}CString strResolution;GetDlgItemText(IDC_EDIT_RESOLUTION, strResolution);double dNewResolution = sdf.CString2double(strResolution);if (strDirPath.GetLength()){CStringArray arrTifsInDir;sdf.ReadDirFiles(strDirPath, &arrTifsInDir, ".tif", false);for (int i = 0; i < arrTifsInDir.GetCount(); ++i){CTfwReader tr(sdf.ReplaceSuffix(arrTifsInDir[i], ".tfw"));//如果源图像存在tfw文件，则产生新的tfw文件const double dProp = tr.m_dXResolution / dNewResolution;//写入新的tfw文件CStringArray arrNewTfw;arrNewTfw.Add(sdf.Float2Cstring(dNewResolution) + '\n');arrNewTfw.Add(sdf.Float2Cstring(tr.m_dXRotatePara) + '\n');arrNewTfw.Add(sdf.Float2Cstring(tr.m_dYRotatePara) + '\n');arrNewTfw.Add(sdf.Float2Cstring(-dNewResolution) + '\n');arrNewTfw.Add(sdf.Float2Cstring(tr.m_dXCoordinate) + '\n');arrNewTfw.Add(sdf.Float2Cstring(tr.m_dYCoordinate) + '\n');sdf.SaveTXTFile(strNewDirPath + "\\" + sdf.ReplaceSuffix(sdf.GetNameOfFile(arrTifsInDir[i]), ".tfw"), arrNewTfw);//写入新的tif文件cv::Mat mSrc = cv::imread(sdf.CString2Char(arrTifsInDir[i]));cv::Mat mDst;cv::resize(mSrc, mDst, cv::Size(mSrc.cols * dProp, mSrc.rows * dProp));cv::imwrite(sdf.CString2Char(strNewDirPath + "\\" + sdf.GetNameOfFile(arrTifsInDir[i])), mDst);}AfxMessageBox("完成！");}
}void COpenCVFunctionTestDlg::OnBnClickedButtonWtog()
{// TODO: Add your control notification handler code hereCString strDirPath = sdf.BrowseDir("请选择tif所在目录");if (strDirPath.GetLength()){CStringArray arrTifsInDir;sdf.ReadDirFiles(strDirPath, &arrTifsInDir, ".tif", false);for (int i = 0; i < arrTifsInDir.GetCount(); ++i){cv::Mat mSrcGray = cv::imread(sdf.CString2Char(arrTifsInDir[i]), CV_LOAD_IMAGE_GRAYSCALE);cv::Mat mDst;cv::threshold(mSrcGray, mDst, 100, 100, CV_THRESH_BINARY);cv::imwrite(sdf.CString2Char(arrTifsInDir[i]), mDst);}AfxMessageBox("完成！");}
}void COpenCVFunctionTestDlg::OnBnClickedButtonFillpoly()
{// TODO: Add your control notification handler code here//方法1cv::Mat mSrc = cv::Mat::zeros(150, 200, CV_8UC3);std::vector<cv::Point> polyline(8);// external rectengularpolyline[0] = Point(0, 0);polyline[1] = Point(80, 0);polyline[2] = Point(80, 80);polyline[3] = Point(0, 80);// internal rectangularpolyline[4] = Point(20, 20);polyline[5] = Point(60, 20);polyline[6] = Point(60, 60);polyline[7] = Point(20, 60);const Point* ppts[] = {&polyline[0], &polyline[0]+4};int pn[] = {4, 4};fillPoly( mSrc, ppts, pn, 2, Scalar(100, 100, 0));cv::imshow("FillPoly", mSrc);cv::waitKey();//方法2//cv::Mat mSrc = cv::Mat::zeros(150, 200, CV_8UC3);std::vector<cv::Point> vPoly;std::vector<std::vector<cv::Point>> vPolys;vPoly.push_back(cv::Point(10, 10));vPoly.push_back(cv::Point(100, 10));vPoly.push_back(cv::Point(100, 100));vPoly.push_back(cv::Point(100, 100));vPoly.push_back(cv::Point(10, 10));vPolys.push_back(vPoly);cv::fillPoly(mSrc, vPolys, cv::Scalar(255,0,0));cv::imshow("FillPoly", mSrc);cv::waitKey();//方法3std::vector<cv::Point> vPolyB;vPolyB.push_back(cv::Point(20, 20));vPolyB.push_back(cv::Point(100, 10));vPolyB.push_back(cv::Point(500, 100));vPolyB.push_back(cv::Point(500, 500));vPolyB.push_back(cv::Point(20, 400));cv::fillConvexPoly(mSrc, vPolyB, cv::Scalar(255,255,0), 1);cv::imshow("FillPoly", mSrc);cv::waitKey();cv::fillConvexPoly(mSrc, vPolyB, cv::Scalar(255,255,0));for (int i = 0; i < vPolyB.size() - 1; ++i){cv::line(mSrc, vPolyB[i], vPolyB[i + 1], Scalar(255,255,0), 10);}cv::line(mSrc, vPolyB[0], vPolyB[vPolyB.size() - 1], Scalar(255,255,0), 10);cv::imshow("FillPoly5", mSrc);cv::waitKey();cv::rectangle(mSrc, cv::Rect(110, 100, 150, 200), cv::Scalar(0.0, 255.0, 255.0), -1);cv::imshow("FillRect", mSrc);cv::waitKey();
}void COpenCVFunctionTestDlg::OnBnClickedButtonCopymat()
{// TODO: Add your control notification handler code herecv::Mat mSrc = cv::Mat::zeros(cv::Size(10000, 10000), CV_8UC1);cv::Mat mSrc2 = cv::Mat::zeros(cv::Size(10000, 5000), CV_8UC1);mSrc = mSrc2;mSrc.release();mSrc2.release();}void COpenCVFunctionTestDlg::OnBnClickedButtonDistinguish()
{// TODO: Add your control notification handler code herecv::Mat mSrcGray = cv::Mat::ones(cv::Size(800, 600), CV_8UC1);cv::Mat mRoi(mSrcGray, cv::Rect(200,100,400, 300));cv::Mat mValue = cv::Mat(mRoi.size(), CV_8UC1, cv::Scalar(2));mValue.copyTo(mRoi);cv::imwrite("D:\\rect.tif", mSrcGray);cv::imshow("mSrcGray", mSrcGray);cv::waitKey();
}int SmoothBrokenLine(double* pX, double* pY, const int nNum);
void COpenCVFunctionTestDlg::OnBnClickedButtonSmoothbrokenline()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".rrlx");if (strFilePath.GetLength()){CRrlxContent rc;std::vector<cv::Point> vPts;rc.ReadFromFile(strFilePath);rc.GetPointsInPicByRrlx(vPts);int nNum = vPts.size();double* pX = new double[nNum];double* pY = new double[nNum];for (int i = 0; i < nNum; ++i){pX[i] = vPts[i].x;pY[i] = vPts[i].y;}SmoothBrokenLine(pX, pY, nNum);for (int i = 0; i < nNum; ++i){vPts[i] = cv::Point(pX[i], pY[i]);}rc.CreateBmpByPoints(vPts, false);AfxMessageBox("完成!");}
}void COpenCVFunctionTestDlg::OnBnClickedButtonRrlxpixvalue()
{// TODO: 在此添加控件通知处理程序代码SendMessage(WM_CLOSE);CRrlxPixValue rpv;rpv.DoModal();
}int MserTest(char* cFileName);
void COpenCVFunctionTestDlg::OnBnClickedButtonMser()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){Mat src,yuv;  src = imread(sdf.CString2Char(strFilePath));  cvtColor(src, yuv, COLOR_BGR2YCrCb);  MSER ms;  vector<vector<Point>> regions;  ms(yuv, regions, Mat());  for (int i = 0; i < regions.size(); i++)  {  ellipse(src, fitEllipse(regions[i]), Scalar(255,0,0));  }  imshow("mscr", src);waitKey(0); cv::imwrite(sdf.CString2Char(sdf.ReplaceSuffix(strFilePath, "mser.tif")), src);return;  }
}void COpenCVFunctionTestDlg::OnBnClickedButtonPerspect()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");cv::Mat src= cv::imread(sdf.CString2Char(strFilePath),0);if (!src.data)return;vector<Point> not_a_rect_shape;not_a_rect_shape.push_back(Point(122,0));not_a_rect_shape.push_back(Point(814,0));not_a_rect_shape.push_back(Point(22,540));not_a_rect_shape.push_back(Point(910,540));// For debugging purposes, draw green lines connecting those points// and save it on diskconst Point* point = &not_a_rect_shape[0];int n = (int )not_a_rect_shape.size();Mat draw = src.clone();polylines(draw, &point, &n, 1, true, Scalar(0, 255, 0), 3, CV_AA);imwrite( "draw.jpg", draw);//  topLeft, topRight, bottomRight, bottomLeftcv::Point2f src_vertices[4];src_vertices[0] = not_a_rect_shape[0];src_vertices[1] = not_a_rect_shape[1];src_vertices[2] = not_a_rect_shape[2];src_vertices[3] = not_a_rect_shape[3];Point2f dst_vertices[4];dst_vertices[0] = Point(0, 0);dst_vertices[1] = Point(960,0);dst_vertices[2] = Point(0,540);dst_vertices[3] = Point(960,540);Mat warpMatrix = getPerspectiveTransform(src_vertices, dst_vertices);cv::Mat rotated;warpPerspective(src, rotated, warpMatrix, rotated.size(), INTER_LINEAR, BORDER_CONSTANT);// Display the imagecv::namedWindow( "Original Image");cv::imshow( "Original Image",src);cv::namedWindow( "warp perspective");cv::imshow( "warp perspective",rotated);imwrite( "result.jpg",src);cv::waitKey();return;
}int TransTif(cv::Mat& mSrcGray, std::vector<cv::Point2f>& vPts, std::vector<cv::Point2f>& vGeos, double dGeo = 1.0);
void COpenCVFunctionTestDlg::OnBnClickedButtonPicTrans()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");cv::Mat src= cv::imread(sdf.CString2Char(strFilePath), 0);if (!src.data)return;std::vector<cv::Point2f> vPts, vGeos;vPts.push_back(cv::Point2f(461,644));vPts.push_back(cv::Point2f(1343,554));vPts.push_back(cv::Point2f(539,1342));vPts.push_back(cv::Point2f(1304,1648));vGeos.push_back(cv::Point2f(566706, 3883358));vGeos.push_back(cv::Point2f(566882, 3883378));vGeos.push_back(cv::Point2f(566721, 3883219));vGeos.push_back(cv::Point2f(566874, 3883157));TransTif(src, vPts, vGeos, 0.2);
}float GetGaussFilter(int* Filter, int width, int sigma)
{int N = width/2;int C,i,j;float Cof = 0;float *Ftemp = new float[(N+1)*(N+1)];for(i=0;i<N+1;i++)//取模板大小(2N+1) (2N+1)的右下角部分{for(j=0;j<N+1;j++){float t=(float)(i*i+j*j)/(float)sigma;Ftemp[i*(N+1)+j]=(float)(1.0/exp(t/2)); }}C=(int)ceil(1/Ftemp[(N+1)*(N+1)-1]+0.5);//计算规范化系数for(i=0;i<N+1;i++)for(j=0;j<N+1;j++)Filter[(N+i)*(2*N+1)+(N+j)] =int(Ftemp[i*(N+1)+j]*C+0.5); for(i=N;i<2*N+1;i++)                       //给模板左下角付值? ? for(j=0;j<N+1;j++)Filter[i*(2*N+1)+j] = Filter[i*(2*N+1)+(2*N-j)];for(i=0;i<N;i++)                      //给模板上半部分付值for(j=0;j<2*N+1;j++)Filter[i*(2*N+1)+j] =Filter[(2*N-i)*(2*N+1)+j];for(i=0;i<2*N+1;i++)                   //计算总的系数for(j=0;j<2*N+1;j++)Cof +=(float )Filter[i*(2*N+1)+j];Cof=(float)( 1.0/Cof); delete []Ftemp;return Cof;
}int GaussianFilter(float* m_data, int m_height, int m_width)
{int loops = 2; //进行滤波次数int N     = 3; //模板尺寸int sigma = 1; //滤波尺度int loop = 0;int* filter = new int[N*N]; //模板float C =  GetGaussFilter(filter,N,sigma);//模板系数
#define INVALIDVALUE -99999while(loop<loops){float *pData = new float[m_height*m_width];
#ifdef OLD_METHODfor (int i=0;i<m_height;i++){for (int j=0;j<m_width;j++){if (j<(N-1)/2||j>(m_width-(N+1)/2)||i<(N-1)/2||i>(m_height-(N+1)/2))pData[i*m_width+j] = m_data[i*m_width+j];else{if (m_data[i*m_width+j] > INVALIDVALUE ){float sum = 0;for (int temi=-(N-1)/2;temi<(N+1)/2;temi++){for (int tempj=-(N-1)/2;tempj<(N+1)/2;tempj++){float data = m_data[(i+temi)*m_width+j+tempj];if (data <= INVALIDVALUE)data =  m_data[i*m_width+j];sum += data*filter[(temi+(N-1)/2)*N+(tempj+(N-1)/2)];}}pData[i*m_width+j] = sum*C;}elsepData[i*m_width+j] = INVALIDVALUE;}}}
#elsefor (int i = 0; i < m_height; i++){for (int j = 0; j<m_width; j++){if (m_data[i*m_width + j] > INVALIDVALUE){float sum = 0;for (int temi = -(N - 1) / 2; temi < (N + 1) / 2; temi++){for (int tempj = -(N - 1) / 2; tempj < (N + 1) / 2; tempj++){int nRow = i + temi;if (nRow < 0){nRow = -nRow;}else if (nRow >= m_height){nRow = 2 * m_height - nRow - 1;}int nCol = j + tempj;if (nCol < 0){nCol = -nCol;}else if (nCol >= m_width){nCol = 2 * m_width - nCol - 1;}float data = m_data[(nRow)*m_width + nCol];if (data <= INVALIDVALUE)data = m_data[i*m_width + j];sum += data*filter[(temi + (N - 1) / 2)*N + (tempj + (N - 1) / 2)];}}pData[i*m_width + j] = sum*C;}elsepData[i*m_width + j] = INVALIDVALUE;}}
#endif // OLD_METHODmemcpy(m_data,pData,m_height*m_width*sizeof(float));delete []pData;loop++;}delete []filter;return 0;
}void COpenCVFunctionTestDlg::OnBnClickedButtonFeather()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");cv::Mat mSrc= cv::imread(sdf.CString2Char(strFilePath), 0);if (!mSrc.data)return;long m_imgWidth = mSrc.cols;long m_imgHeight = mSrc.rows;float* m_data = new float[m_imgHeight*m_imgWidth];for (int j = 0; j < mSrc.rows; ++j){uchar* data = mSrc.ptr<uchar>(j);for (int i = 0; i < mSrc.cols; ++i){m_data[j * mSrc.cols + i] = data[i];}}GaussianFilter(m_data, m_imgHeight, m_imgWidth);for (int j = 0; j < mSrc.rows; ++j){uchar* data = mSrc.ptr<uchar>(j);for (int i = 0; i < mSrc.cols; ++i){data[i] = m_data[j * mSrc.cols + i];}}cv::imwrite("D:\\GaussianFilter.tif", mSrc);
}int ScrollImage(const char* pFileName);
void COpenCVFunctionTestDlg::OnBnClickedButtonScroll()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){ScrollImage(sdf.CString2Char(strFilePath));return;  }
}int CalcGrade(cv::Mat& src_gray, cv::Mat& grad, int scale = 1, int delta = 0, int ddepth = CV_16S)
{if (!src_gray.data){return -1;}cv::GaussianBlur(src_gray, src_gray, cv::Size(3, 3), 0, 0, cv::BORDER_DEFAULT);cv::Mat grad_x, grad_y;cv::Mat abs_grad_x, abs_grad_y;//改为Scharr滤波器计算x轴导数cv::Scharr(src_gray, grad_x, ddepth, 1, 0, scale, delta, cv::BORDER_DEFAULT);cv::convertScaleAbs(grad_x, abs_grad_x);//改为Scharr滤波器计算y轴导数cv::Scharr(src_gray, grad_y, ddepth, 0, 1, scale, delta, cv::BORDER_DEFAULT);cv::convertScaleAbs(grad_y, abs_grad_y);cv::addWeighted(abs_grad_x, 0.5, abs_grad_y, 0.5, 0, grad);return 0;
}int ScaleMat(cv::Mat& mSrcGray, cv::Mat& mDstGray, double dValue = BOUNDARY_VALUE)
{double maxVal = 0;double minVal = 0;cv::minMaxLoc(mSrcGray, &minVal, &maxVal, 0, 0);if (fabs(maxVal) <= 1e-5){return -1;}double dScale = dValue / maxVal;cv::Mat mTemp = cv::Mat::zeros(mSrcGray.size(), CV_8UC1);cv::addWeighted(mTemp, 0.0, mSrcGray, dScale, 0, mTemp);mDstGray = mTemp;return 0;
}int PersonalCalcGrade(cv::Mat& mSrcGray, cv::Mat& mDstGray)
{cv::Mat mGray = mSrcGray;mDstGray = mGray.clone();for (int j = 0; j < mGray.rows; ++j){uchar* data = mGray.ptr<uchar>(j);uchar* dataDst = mDstGray.ptr<uchar>(j);for (int i = 0; i < mGray.cols; ++i){if (j < mGray.rows - 1 && i < mGray.cols - 1){uchar* dataNR = mGray.ptr<uchar>(j + 1);dataDst[i] = (abs(data[i + 1] - data[i]) + abs(dataNR[i] - data[i])) / 2;}else{//最后一行和最后一列的处理if (j == mGray.rows - 1){uchar* dataPR = mDstGray.ptr<uchar>(j - 1);dataDst[i] = dataPR[i];}if (i == mGray.cols - 1){dataDst[i] = dataDst[i - 1];}}}}ScaleMat(mDstGray, mDstGray);//加入scharr的计算cv::Mat mPGrade, mScharr;CalcGrade(mSrcGray, mScharr);#ifdef _DEBUG0cv::imwrite("D:\\mPGrade.tif", mDstGray);cv::imwrite("D:\\mScharr.tif", mScharr);
#endif // _DEBUGint nDilateElementSize = 2;cv::Mat elementDilate = cv::getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(2 * nDilateElementSize + 1,2 * nDilateElementSize + 1), cv::Point(nDilateElementSize, nDilateElementSize));cv::dilate(mDstGray, mPGrade, elementDilate);cv::dilate(mScharr, mScharr, elementDilate);int nErodeElementSize = 1;cv::Mat elementErode = cv::getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(2 * nErodeElementSize + 1,2 * nErodeElementSize + 1), cv::Point(nErodeElementSize, nErodeElementSize));cv::erode(mPGrade, mPGrade, elementErode);cv::erode(mScharr, mScharr, elementErode);#ifdef _DEBUG0cv::imwrite("D:\\mPGradeC.tif", mPGrade);cv::imwrite("D:\\mScharrC.tif", mScharr);
#endif // _DEBUGcv::bitwise_not(mPGrade, mPGrade);cv::bitwise_not(mScharr, mScharr);
#ifdef _DEBUG0cv::imwrite("D:\\mNotPGrade.tif", mPGrade);cv::imwrite("D:\\mNotScharr.tif", mScharr);
#endif // _DEBUGcv::addWeighted(mPGrade, 0.5, mScharr, 0.5, 0, mDstGray);#ifdef _DEBUG0cv::imwrite("D:\\mDst.tif", mDstGray);
#endif // _DEBUGreturn 0;
}void COpenCVFunctionTestDlg::OnBnClickedButtonGrade()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){cv::Mat mSrcGray= cv::imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);if (!mSrcGray.data)return;cv::blur(mSrcGray, mSrcGray, cv::Size(3,3));//梯度和cv::Mat mDstAnd;PersonalCalcGrade(mSrcGray, mDstAnd);cv::imwrite(sdf.CString2Char(sdf.ReplaceSuffix(strFilePath, "_a.tif")), mDstAnd);//CalcGradecv::Mat mGradeCalc;CalcGrade(mSrcGray, mGradeCalc);cv::imwrite(sdf.CString2Char(sdf.ReplaceSuffix(strFilePath, "_c.tif")), mGradeCalc);//标准梯度cv::Mat mDstGray = mSrcGray.clone();for (int j = 0; j < mSrcGray.rows; ++j){uchar* data = mSrcGray.ptr<uchar>(j);uchar* dataDst = mDstGray.ptr<uchar>(j);for (int i = 0; i < mSrcGray.cols; ++i){if (j < mSrcGray.rows - 1 && i < mSrcGray.cols - 1){uchar* dataNR = mSrcGray.ptr<uchar>(j + 1);dataDst[i] = (abs(data[i + 1] - data[i]) + abs(dataNR[i] - data[i])) / 2;}else{//最后一行和最后一列的处理if (j == mSrcGray.rows - 1){uchar* dataPR = mDstGray.ptr<uchar>(j - 1);dataDst[i] = dataPR[i];}if (i == mSrcGray.cols - 1){dataDst[i] = dataDst[i - 1];}}}}ScaleMat(mDstGray, mDstGray);cv::imwrite(sdf.CString2Char(sdf.ReplaceSuffix(strFilePath, "_g.tif")), mDstGray);AfxMessageBox("OK!");}
}int PersonalCalcGradeAdd(cv::Mat& mSrcGray, cv::Mat& mDstGray)
{cv::Mat mGray = mSrcGray;mDstGray = mGray.clone();for (int j = 0; j < mGray.rows; ++j){uchar* data = mGray.ptr<uchar>(j);uchar* dataDst = mDstGray.ptr<uchar>(j);for (int i = 0; i < mGray.cols; ++i){if (j < mGray.rows - 1 && i < mGray.cols - 1){uchar* dataNR = mGray.ptr<uchar>(j + 1);dataDst[i] = (abs(data[i + 1] - data[i]) + abs(dataNR[i] - data[i])) / 2;}else{//最后一行和最后一列的处理if (j == mGray.rows - 1){uchar* dataPR = mDstGray.ptr<uchar>(j - 1);dataDst[i] = dataPR[i];}if (i == mGray.cols - 1){dataDst[i] = dataDst[i - 1];}}}}//加入scharr的计算cv::Mat mPGrade, mScharr;CalcGrade(mGray, mScharr);int nDilateElementSize = 2;cv::Mat elementDilate = cv::getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(2 * nDilateElementSize + 1,2 * nDilateElementSize + 1), cv::Point(nDilateElementSize, nDilateElementSize));cv::dilate(mDstGray, mPGrade, elementDilate);cv::dilate(mScharr, mScharr, elementDilate);int nErodeElementSize = 1;cv::Mat elementErode = cv::getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(2 * nErodeElementSize + 1,2 * nErodeElementSize + 1), cv::Point(nErodeElementSize, nErodeElementSize));cv::erode(mPGrade, mPGrade, elementErode);cv::erode(mScharr, mScharr, elementErode);#ifdef _DEBUGcv::imwrite("D:\\mPGrade.tif", mPGrade);cv::imwrite("D:\\mScharr.tif", mScharr);
#endif // _DEBUGcv::bitwise_not(mPGrade, mPGrade);cv::bitwise_not(mScharr, mScharr);
#ifdef _DEBUGcv::imwrite("D:\\mNotPGrade.tif", mPGrade);cv::imwrite("D:\\mNotScharr.tif", mScharr);
#endif // _DEBUGcv::addWeighted(mPGrade, 0.5, mScharr, 0.5, 0, mDstGray);//int height = mScharr.rows;//int width = mScharr.cols;//for (int j = 0; j < height; ++j)//{// const uchar* data1 = mScharr.ptr<uchar>(j);//    uchar* data2 = mDst.ptr<uchar>(j);// for (int i = 0; i < width; ++i)// {//     if (abs(data2[i]) < 10)//        {//         data2[i] = 0;//        }//     else//      {//         data2[i] = data2[i] + data1[i] > 255 ? 255 : data2[i] + data1[i];//       }// }//}//按位取反#ifdef _DEBUGcv::imwrite("D:\\mDst.tif", mDstGray);
#endif // _DEBUGreturn 0;
}void COpenCVFunctionTestDlg::OnBnClickedButtonMergegrade()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){cv::Mat mSrcGray= cv::imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);if (!mSrcGray.data)return;cv::Mat mDstGray;cv::blur(mSrcGray, mSrcGray, cv::Size(3,3));PersonalCalcGradeAdd(mSrcGray, mDstGray);AfxMessageBox("OK!");}
}//十字膨胀，为了留下四个边角区域
int TenExpandRect(std::vector<cv::Point>& vRect, std::vector<cv::Point>& vRes1, std::vector<cv::Point>& vRes2, const double dThick = 0.10)
{//将第一个添加到末尾方便计算std::vector<cv::Point> vRect5 = vRect;vRect5.push_back(vRect[0]);double dLeftProp =  1.0 + dThick;std::vector<cv::Point> vTmp;for (int i = 0; i < vRect5.size() - 1; ++i){cv::Point p1 = cv::Point(vRect5[i].x * dLeftProp + vRect5[i + 1].x * (1 - dLeftProp), vRect5[i].y * dLeftProp + vRect5[i + 1].y * (1 - dLeftProp));cv::Point p2 = cv::Point(vRect5[i + 1].x * dLeftProp + vRect5[i].x * (1 - dLeftProp), vRect5[i + 1].y * dLeftProp + vRect5[i].y * (1 - dLeftProp));vTmp.push_back(p1);vTmp.push_back(p2);}//dLeftProp = 1.0 - dThick;cv::Point p1 = cv::Point(vTmp[0].x * dLeftProp + vTmp[5].x * (1 - dLeftProp), vTmp[0].y * dLeftProp + vTmp[5].y * (1 - dLeftProp));cv::Point p2 = cv::Point(vTmp[1].x * dLeftProp + vTmp[4].x * (1 - dLeftProp), vTmp[1].y * dLeftProp + vTmp[4].y * (1 - dLeftProp));cv::Point p3 = cv::Point(vTmp[4].x * dLeftProp + vTmp[1].x * (1 - dLeftProp), vTmp[4].y * dLeftProp + vTmp[1].y * (1 - dLeftProp));cv::Point p4 = cv::Point(vTmp[5].x * dLeftProp + vTmp[0].x * (1 - dLeftProp), vTmp[5].y * dLeftProp + vTmp[0].y * (1 - dLeftProp));vRes1.push_back(p1);vRes1.push_back(p2);vRes1.push_back(p3);vRes1.push_back(p4);p1 = cv::Point(vTmp[7].x * dLeftProp + vTmp[2].x * (1 - dLeftProp), vTmp[7].y * dLeftProp + vTmp[2].y * (1 - dLeftProp));p2 = cv::Point(vTmp[2].x * dLeftProp + vTmp[7].x * (1 - dLeftProp), vTmp[2].y * dLeftProp + vTmp[7].y * (1 - dLeftProp));p3 = cv::Point(vTmp[3].x * dLeftProp + vTmp[6].x * (1 - dLeftProp), vTmp[3].y * dLeftProp + vTmp[6].y * (1 - dLeftProp));p4 = cv::Point(vTmp[6].x * dLeftProp + vTmp[3].x * (1 - dLeftProp), vTmp[6].y * dLeftProp + vTmp[3].y * (1 - dLeftProp));vRes2.push_back(p1);vRes2.push_back(p2);vRes2.push_back(p3);vRes2.push_back(p4);return 0;
}int FeatherHouse(cv::Mat m16uCommon, const int& nFeatherRadius/* = FEATHER_RADIUS_M*/, const int& nValue/* = HOUSE_VALUE*/)
{//只对房子进行羽化cv::imwrite("D:\\m16uCommon0.tif", m16uCommon);cv::Mat mHouseMask, mHouse;cv::inRange(m16uCommon, nValue, nValue, mHouseMask);m16uCommon.copyTo(mHouse, mHouseMask);cv::blur(mHouse, mHouse, cv::Size(nFeatherRadius * 2, nFeatherRadius * 2));cv::bitwise_not(mHouseMask, mHouseMask);cv::Mat mAdd = cv::Mat::zeros(m16uCommon.size(), m16uCommon.type());mHouse.copyTo(mAdd, mHouseMask);cv::addWeighted(m16uCommon, 1.0, mAdd, 1.0, 0.0, m16uCommon);cv::imwrite("D:\\m16uCommon1.tif", m16uCommon);return 0;
}void COpenCVFunctionTestDlg::OnBnClickedButtonTenexpand()
{// TODO: 在此添加控件通知处理程序代码cv::Mat mCanvas = cv::Mat::zeros(cv::Size(800, 600), CV_8UC3);std::vector<cv::Point> vRect, vRes1, vRes2;vRect.push_back(cv::Point(190, 10));vRect.push_back(cv::Point(103, 174));vRect.push_back(cv::Point(407, 322));vRect.push_back(cv::Point(487, 155));//偏移图像for (int i = 0; i < vRect.size(); ++i){vRect[i].x += 120;vRect[i].y += 100;}TenExpandRect(vRect, vRes1, vRes2, 0.20);for (int i = 0; i < vRect.size(); ++i){if (i == vRect.size() - 1){cv::line(mCanvas, vRect[i], vRect[0], CV_RGB(0, 255, 0), 2);}else{cv::line(mCanvas, vRect[i], vRect[i + 1], CV_RGB(0, 255, 0), 2);}}for (int i = 0; i < vRes1.size(); ++i){if (i == 3){cv::line(mCanvas, vRes1[i], vRes1[0], CV_RGB(255, 0, 0), 2);}else{cv::line(mCanvas, vRes1[i], vRes1[i + 1], CV_RGB(255, 0, 0), 2);}}for (int i = 0; i < vRes2.size(); ++i){if (i == 3){cv::line(mCanvas, vRes2[i], vRes2[0], CV_RGB(255, 0, 0), 2);}else{cv::line(mCanvas, vRes2[i], vRes2[i + 1], CV_RGB(255, 0, 0), 2);}}cv::imshow("tmp", mCanvas);std::vector<std::vector<cv::Point>> vContours;vContours.push_back(vRect);vContours.push_back(vRes1);vContours.push_back(vRes2);cv::Mat mRes = cv::Mat::zeros(cv::Size(800, 600), CV_8UC1);for (int i = 0; i < vContours.size(); ++i){cv::drawContours(mRes, vContours, i, cv::Scalar(200), -1);}FeatherHouse(mRes, 5, 200);cv::imshow("res", mRes);cv::waitKey();cv::destroyAllWindows();
}void COpenCVFunctionTestDlg::OnBnClickedButtonFillfeather()
{// TODO: 在此添加控件通知处理程序代码cv::Mat mCanvas = cv::Mat::zeros(cv::Size(800, 600), CV_8UC1);std::vector<cv::Point> vPts;std::vector<std::vector<cv::Point>> vContours;vPts.push_back(cv::Point(190, 10));vPts.push_back(cv::Point(103, 174));vPts.push_back(cv::Point(200, 300));vPts.push_back(cv::Point(407, 322));vPts.push_back(cv::Point(487, 155));vContours.push_back(vPts);cv::drawContours(mCanvas, vContours, 0, cv::Scalar(200), CV_FILLED);FeatherHouse(mCanvas, 5, 200);cv::imwrite("D:\\res.tif", mCanvas);
}void COpenCVFunctionTestDlg::OnBnClickedButtonBgfill()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){cv::Mat mSrcGray= cv::imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);if (!mSrcGray.data)return;cv::Mat mDst;std::vector<cv::Point> vSeeds;vSeeds.push_back(cv::Point(0, 0));vSeeds.push_back(cv::Point(0, mSrcGray.rows - 1));vSeeds.push_back(cv::Point(mSrcGray.cols - 1, mSrcGray.rows - 1));vSeeds.push_back(cv::Point(mSrcGray.cols - 1, 0));for (int i = 0; i < vSeeds.size(); ++i){cv::floodFill(mSrcGray, vSeeds[i], cv::Scalar(255));}//PersonalCalcGradeAdd(mSrcGray, mDst);std::string strSavePath = sdf.ReplaceSuffix(sdf.CString2Char(strFilePath), "f.tif");cv::imwrite(strSavePath.c_str(), mSrcGray);AfxMessageBox("OK!");}
}int PersonalAddSrcGray(cv::Mat& srcDst, const cv::Mat& srcAdd)
{int width = srcDst.cols;int height = srcDst.rows;for (int j = 0; j < height; ++j){uchar* dataDst = srcDst.ptr<uchar>(j);const uchar* data2 = srcAdd.ptr<uchar>(j);for (int i = 0; i < width; ++i){if (dataDst[i] == 255 || data2[i] == 255){//如果一边是边界，则输出边界dataDst[i] = 255;}else if (data2[i] < GRAD_MIN){if (dataDst[i] < GRAD_MIN){dataDst[i] -= 2;}else{dataDst[i] = 8;    //10 - 2}}else if (data2[i] > GRAD_MAX){if (dataDst[i] < GRAD_MIN){dataDst[i] = dataDst[i];}else if (dataDst[i] > GRAD_MAX){dataDst[i] += 10;}else{dataDst[i] = HOUSE_VALUE + 10;}}else{if (dataDst[i] >= GRAD_MIN && dataDst[i] <= GRAD_MAX){dataDst[i] = (dataDst[i] + data2[i]) / 2;}else{dataDst[i] = dataDst[i];}}}}return 0;
}void COpenCVFunctionTestDlg::OnBnClickedButtonAddtif()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){cv::Mat MatC2= cv::imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);if (!MatC2.data)return;cv::Mat mDst(MatC2.size(), CV_8UC1, cv::Scalar(100));PersonalAddSrcGray(mDst, MatC2);cv::imwrite("D:\\PersonalAddSrcGray.tif", mDst);AfxMessageBox("OK!");}
}void COpenCVFunctionTestDlg::OnBnClickedButtonMat2txt()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){cv::Mat mSrcGray= cv::imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);if (!mSrcGray.data)return;CStringArray arrContentInFile;for (int j = 0; j < mSrcGray.rows; ++j){const uchar* data = mSrcGray.ptr<uchar>(j);CString strLine, strCoor;for (int i = 0; i < mSrcGray.cols; ++i){strCoor.Format("x = %d, y = %d, v = %d\t", i, j, data[i]);strLine += strCoor;}strLine += "\n";arrContentInFile.Add(strLine);}CString strTxtPath = sdf.ReplaceSuffix(strFilePath, ".txt");sdf.SaveTXTFile(strTxtPath, arrContentInFile);AfxMessageBox("OK!Saved to\n" + strTxtPath);}
}void COpenCVFunctionTestDlg::OnBnClickedButtonFindroad()
{// TODO: 在此添加控件通知处理程序代码//CString strDirPath = sdf.BrowseDir();CString strDirPath = "J:\\test13p\\geocode\\tmp_ph";CStringArray arrFiles;sdf.ReadDirFiles(strDirPath, &arrFiles, ".tif");CString strSaveDir = "D:\\Roads";CreateDirectory(strSaveDir, NULL);for (int i = 0; i < arrFiles.GetCount(); ++i){CString strFilePath = arrFiles[i];cv::Mat mSrcGray= cv::imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);if (!mSrcGray.data)return;//寻找是路的区域//根据形状和面积来判断是路的可能性cv::Mat mRoad;//虽然注释中说明的是开区间，但是经过测试，实际上是闭区间//注意在opencv3.0当中，cv::inRange的两个参数的值的意义发生变化，在3.0中是闭区间cv::inRange(mSrcGray, ROAD_VALUE, ROAD_VALUE + 1, mRoad);cv::imshow("mRoad", mRoad);int an = 2;cv::Mat element = getStructuringElement(MORPH_ELLIPSE, Size(an*2+1, an*2+1), Point(an, an) );cv::erode(mRoad, mRoad, element);element = getStructuringElement(MORPH_ELLIPSE, Size(an*2+1, an*2+1), Point(an, an) );cv::dilate(mRoad, mRoad, element);cv::imshow("ED", mRoad);int nk = cv::waitKey();if (nk == 'e' || nk == 27){break;}else{cv::imwrite(sdf.CString2Char(strSaveDir + "\\" + sdf.Int2Cstring(i) + ".tif"), mRoad);}}cv::destroyAllWindows();
}int FeatherByPoint(cv::Mat& mSrcGray, const cv::Point& pt, const int& nRadius = 30, const int& nMaxValue = 30)
{if (mSrcGray.depth() == CV_8UC1){for (int j = 0; j < mSrcGray.rows; ++j){uchar * data = mSrcGray.ptr<uchar>(j);for (int i = 0; i < mSrcGray.cols; ++i){double dGap = sqrt((double)(i - pt.x) * (i - pt.x) + (j - pt.y) * (j - pt.y));if (dGap <= nRadius){int v = data[i];v += int((1 - dGap / nRadius) * nMaxValue);if (v > 255){data[i] = 255;}else{data[i] = v;}}}}}else if (mSrcGray.depth() == CV_16UC1){for (int j = 0; j < mSrcGray.rows; ++j){ushort * data = mSrcGray.ptr<ushort>(j);for (int i = 0; i < mSrcGray.cols; ++i){double dGap = sqrt((double)(i - pt.x) * (i - pt.x) + (j - pt.y) * (j - pt.y));if (dGap <= nRadius){int v = data[i];v += int((1 - dGap / nRadius) * nMaxValue);if (v > 65535){data[i] = 65535;}else{data[i] = v;}}}}}return 0;
}void COpenCVFunctionTestDlg::OnBnClickedButtonPointfeather()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){cv::Mat mSrcGray= cv::imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);if (!mSrcGray.data)return;cv::imshow("src", mSrcGray);//把mSrcGray转化成16ucv::Mat m16uC1;mSrcGray.convertTo(m16uC1, CV_16UC1, 257);FeatherByPoint(m16uC1, cv::Point(100, 100), 50, 65535);cv::imshow("res", m16uC1);cv::waitKey();}
}void COpenCVFunctionTestDlg::OnBnClickedButtonDrawcontours()
{// TODO: 在此添加控件通知处理程序代码CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){cv::Mat mSrcGray= cv::imread(sdf.CString2Char(strFilePath));if (!mSrcGray.data)return;std::vector<std::vector<cv::Point>> vContours;std::vector<cv::Point> contour;contour.push_back(cv::Point(139, 9));contour.push_back(cv::Point(139, 10));contour.push_back(cv::Point(137, 10));contour.push_back(cv::Point(137, 16));contour.push_back(cv::Point(139, 16));contour.push_back(cv::Point(139, 17));contour.push_back(cv::Point(140, 17));contour.push_back(cv::Point(140, 16));contour.push_back(cv::Point(142, 16));contour.push_back(cv::Point(142, 15));contour.push_back(cv::Point(143, 15));contour.push_back(cv::Point(143, 11));contour.push_back(cv::Point(142, 11));contour.push_back(cv::Point(142, 10));contour.push_back(cv::Point(140, 10));contour.push_back(cv::Point(140, 9));vContours.push_back(contour);cv::drawContours(mSrcGray, vContours, 0, cv::Scalar(0, 255, 0), -1);cv::imshow("res", mSrcGray);cv::waitKey();}}int GetShortestPathOnImg(cv::Mat& mSrc, cv::Point& pStart, cv::Point& pEnd, std::vector<cv::Point>& vPathPts);
int PutCoorInRect(const int& nWidth, const int& nHeight, int& nX, int& nY)
{int nChange = 0;if (nX < 0){nX = 0;++nChange;}if (nY < 0){nY = 0;++nChange;}if (nX >= nWidth){nX = nWidth - 1;++nChange;}if (nY >= nHeight){nY = nHeight - 1;++nChange;}return nChange;
}void COpenCVFunctionTestDlg::OnBnClickedButtonBigShortest()
{// TODO: 在此添加控件通知处理程序代码//读取配置文件，输出路径以及图像std::string strIniPath = "bigShortest.ini";std::fstream _file;_file.open(strIniPath, std::ios::in);bool bRes = (bool)_file != 0;_file.close();CSimpleIni Ini;Ini.SetUnicode();cv::Point ptStart, ptEnd;std::string strTifPath = "a.tif";std::fstream _filet;_filet.open(strTifPath, std::ios::in);bool bResT = (bool)_filet != 0;_filet.close();if (!bResT){strTifPath = std::string(sdf.CString2Char(sdf.OpenSuffixFile(".tif")));if (!strTifPath.length()){return;}}cv::Mat mSrcGray = cv::imread(strTifPath.c_str(), CV_LOAD_IMAGE_GRAYSCALE);if (bRes){Ini.LoadFile(strIniPath.c_str());ptStart.x = Ini.GetLongValue("ShortestPath", "StartX", 0);ptStart.y = Ini.GetLongValue("ShortestPath", "StartY", 0);ptEnd.x = Ini.GetLongValue("ShortestPath", "EndX", mSrcGray.cols - 1);ptEnd.y = Ini.GetLongValue("ShortestPath", "EndY", mSrcGray.rows - 1);}else{Ini.SetLongValue("ShortestPath", "StartX", 0);Ini.SetLongValue("ShortestPath", "StartY", 0);Ini.SetLongValue("ShortestPath", "EndX", mSrcGray.cols - 1);Ini.SetLongValue("ShortestPath", "EndY", mSrcGray.rows - 1);Ini.SaveFile(strIniPath.c_str());ptStart.x = 0;ptStart.y = 0;ptEnd.x = mSrcGray.cols - 1;ptEnd.y = mSrcGray.rows - 1;}cv::Mat mPyramid(mSrcGray);int nP = 1;do {nP *= 2;cv::Mat mTmp;cv::pyrDown(mPyramid, mTmp);mPyramid = mTmp;} while (mPyramid.rows * mPyramid.step > 2 * 1024 * 1024);cv::Point ptStartPy(ptStart.x / nP, ptStart.y /nP);cv::Point ptEndPy(ptEnd.x / nP, ptEnd.y /nP);std::vector<cv::Point> vPyPath;GetShortestPathOnImg(mPyramid, ptStartPy, ptEndPy, vPyPath);cv::Mat mCanvas;cv::cvtColor(mPyramid, mCanvas, CV_GRAY2BGR);for (int i = 0; i < vPyPath.size() -1; ++i){ cv::line(mCanvas, vPyPath[i], vPyPath[i + 1], cv::Scalar(0,255,0), 1);}cv::imwrite("D:\\result.tif", mCanvas);//将金字塔上的结果映射到原图上，然后在原图上的每个区域进行走线//其中映射的比例大概为每(BLOCK_PIX_NUM / nP)个像素std::vector<cv::Point> vKeyPts;int nGap = BLOCK_PIX_NUM > nP ? BLOCK_PIX_NUM / nP : 1;for (int i = 0; i < vPyPath.size(); ++i){if (i % nGap == 0){vKeyPts.push_back(cv::Point(vPyPath[i].x * nP, vPyPath[i].y * nP));}}int nEnd = vPyPath.size() - 1;if ((nEnd) % nGap != 0){vKeyPts.push_back(cv::Point(vPyPath[nEnd].x * nP, vPyPath[nEnd].y * nP));}std::vector<cv::Point> vWholePath;vWholePath.reserve(10000);for (int i = 0; i < vKeyPts.size() -1; ++i){ COneSeg os(vKeyPts[i], vKeyPts[i + 1]);cv::Rect rc = os.GetRect(mSrcGray.cols, mSrcGray.rows);cv::Mat mCurrentRoi(mSrcGray, rc);std::vector<cv::Point> vBlockPath;vBlockPath.reserve(1000);cv::Point ptBlockStart = cv::Point(vKeyPts[i].x - rc.x, vKeyPts[i].y - rc.y);cv::Point ptBlockEnd = cv::Point(vKeyPts[i + 1].x - rc.x, vKeyPts[i + 1].y - rc.y);PutCoorInRect(mCurrentRoi.cols, mCurrentRoi.rows, ptBlockStart.x, ptBlockStart.y);PutCoorInRect(mCurrentRoi.cols, mCurrentRoi.rows, ptBlockEnd.x, ptBlockEnd.y);GetShortestPathOnImg(mCurrentRoi, ptBlockStart, ptBlockEnd, vBlockPath);int nBlockPathSize = vBlockPath.size();for (int j = 0; j < nBlockPathSize; ++j){vBlockPath[j].x += rc.x;vBlockPath[j].y += rc.y;}if (vWholePath.size() > 0){cv::Point ptLastBlockLastPoint = vWholePath[vWholePath.size() - 1];if (ptLastBlockLastPoint == vBlockPath[0]){vBlockPath.erase(vBlockPath.begin());}}vWholePath.insert(vWholePath.end(), vBlockPath.begin(), vBlockPath.end());}cv::cvtColor(mSrcGray, mCanvas, CV_GRAY2BGR);for (int i = 0; i < vWholePath.size() -1; ++i){ cv::line(mCanvas, vWholePath[i], vWholePath[i + 1], cv::Scalar(0,255,0), 2);}cv::imwrite("D:\\resultOri.tif", mCanvas);
}void COpenCVFunctionTestDlg::OnBnClickedButtonPyramid()
{// TODO: 在此添加控件通知处理程序代码std::string strTifPath = "a.tif";std::fstream _filet;_filet.open(strTifPath, std::ios::in);bool bResT = (bool)_filet != 0;_filet.close();if (!bResT){strTifPath = std::string(sdf.CString2Char(sdf.OpenSuffixFile(".tif")));if (!strTifPath.length()){return;}}cv::Mat mSrcGray = cv::imread(strTifPath.c_str());cv::Mat mPyramid(mSrcGray);int nP = 1;do {nP *= 2;cv::Mat mTmp;cv::pyrDown(mPyramid, mTmp);cv::imwrite(strTifPath + "_" + sdf.CString2Char(sdf.Int2Cstring(nP) + sdf.GetNameOfSuffix(strTifPath.c_str())), mTmp);mPyramid = mTmp;} while (mPyramid.rows * mPyramid.step > 20 * 1024 * 1024);AfxMessageBox("Over!");
}void CubicTest();
void COpenCVFunctionTestDlg::OnBnClickedButtonCubic()
{// TODO: 在此添加控件通知处理程序代码CubicTest();AfxMessageBox("Over!");
}void COpenCVFunctionTestDlg::OnBnClickedButtonOverflow()
{// TODO: 在此添加控件通知处理程序代码cv::Mat mSrcGray =  cv::Mat::zeros(cv::Size(800, 600), CV_8UC1);int m = 0;for (int j = 0; j < mSrcGray.rows; ++j){uchar* data = mSrcGray.ptr<uchar>(j);for (int i = 0; i < mSrcGray.cols; ++i){data[i] = m++;}}cv::imwrite("D:\\overflow.tif", mSrcGray);AfxMessageBox("Over!");
}void COpenCVFunctionTestDlg::OnBnClickedButtonDrawfill()
{// TODO: 在此添加控件通知处理程序代码cv::Mat mSrcGray = cv::Mat::zeros(cv::Size(20, 20), CV_8UC1);std::vector<std::vector<cv::Point>> contours;std::vector<cv::Point> vPts;vPts.push_back(cv::Point(0,0));vPts.push_back(cv::Point(3,3));vPts.push_back(cv::Point(3,5));contours.push_back(vPts);vPts.clear();vPts.push_back(cv::Point(6,6));vPts.push_back(cv::Point(6,6));vPts.push_back(cv::Point(6,6));vPts.push_back(cv::Point(6,6));contours.push_back(vPts);vPts.clear();vPts.push_back(cv::Point(12,12));vPts.push_back(cv::Point(12,18));vPts.push_back(cv::Point(18,18));vPts.push_back(cv::Point(18,17));contours.push_back(vPts);for (int i = 0; i < contours.size(); ++i){cv::drawContours(mSrcGray, contours, i, cv::Scalar(255), -1);}cv::imwrite("D:\\DrawFill.tif", mSrcGray);AfxMessageBox("Over!");
}bool RectIntersect(const cv::Rect& rSrc, const cv::Rect& rIn, cv::Rect& rRes)
{int nSrcRight = rSrc.x + rSrc.width;int nSrcDown = rSrc.y + rSrc.height;int nInRight = rIn.x + rIn.width;int nInDown = rIn.y + rIn.height;//如果不相交if (nInRight < rSrc.x || rIn.x >= nSrcRight || rIn.y >= nSrcDown || nInDown < rSrc.y){return false;}int x = rSrc.x > rIn.x ? rSrc.x : rIn.x;int y = rSrc.y > rIn.y ? rSrc.y : rIn.y;int right = nSrcRight < nInRight ? nSrcRight : nInRight;int down = nSrcDown < nInDown ? nSrcDown : nInDown;int width = right - x;int height = down - y;rRes = cv::Rect(x - rSrc.x, y - rSrc.y, width, height);return true;
}void COpenCVFunctionTestDlg::OnBnClickedButtonRectboundary()
{// TODO: 在此添加控件通知处理程序代码
//  COneSeg os(-10,-10,20,30);
//  std::vector<cv::Point> vLinePts = os.GetLinePoints();cv::Rect rect1(0,0,30,30), rect2(30,30,1,1);RectIntersect(rect1, rect2, rect1);cv::Mat mCanvas = cv::Mat(cv::Size(80, 60), CV_16UC1, cv::Scalar(65535));cv::Mat mRoi = mCanvas(rect1);cv::Rect rc(79, 59, 1, 1);if (rc.contains(cv::Point(79,59))){cv::Mat m = mCanvas(rc);cv::imshow("RC", m);cv::waitKey();}
}void COpenCVFunctionTestDlg::OnBnClickedButtonScalemat()
{CString strFilePath = sdf.OpenSuffixFile(".tif");if (strFilePath.GetLength()){cv::Mat mSrcGray= cv::imread(sdf.CString2Char(strFilePath), CV_LOAD_IMAGE_GRAYSCALE);if (!mSrcGray.data)return;ScaleMat(mSrcGray, mSrcGray, HOUSESUS_VALUE);std::string strSavePath = sdf.ReplaceSuffix(sdf.CString2Char(strFilePath), "scale.tif");cv::imwrite(strSavePath.c_str(), mSrcGray);AfxMessageBox("OK!");}
}bool FindCommonRect(const geodetic& gLU1, const geodetic& gRD1, const geodetic& gLU2, const geodetic& gRD2, geodetic& gCLU, geodetic& gCRD)
{gCLU.x = gLU1.x > gLU2.x ? gLU1.x : gLU2.x;gCLU.y = gLU1.y < gLU2.y ? gLU1.y : gLU2.y;gCRD.x = gRD1.x < gRD2.x ? gRD1.x : gRD2.x;gCRD.y = gRD1.y > gRD2.y ? gRD1.y : gRD2.y;if (gCLU.x >= gCRD.x){return false;}if (gCLU.y <= gCRD.y){return false;}return true;
}bool GetTifInter(cv::Mat& mSrcGray1, CTfwReader tr1, cv::Mat& mSrcGray2, CTfwReader tr2, cv::Mat& mDst, CTfwReader trDst,double& dXOverlap, double& dYOverlap, const int& nMethod = 0)
{double dX1 = 0;double dY1 = 0;double dX2 = 0;double dY2 = 0;tr1.CalcGeoCoordinate(mSrcGray1.cols, mSrcGray1.rows, dX1, dY1);tr2.CalcGeoCoordinate(mSrcGray2.cols, mSrcGray2.rows, dX2, dY2);geodetic gCLU, gCRD;if (FindCommonRect(geodetic(tr1.m_dXCoordinate, tr1.m_dYCoordinate), geodetic(dX1, dY1), geodetic(tr2.m_dXCoordinate, tr2.m_dYCoordinate), geodetic(dX2, dY2), gCLU, gCRD)){//得到了相交的范围int nX1 = 0, nY1 = 0, nX2 = 0, nY2 = 0;int nX3 = 0, nY3 = 0, nX4 = 0, nY4 = 0;tr1.CalcPixCoordinate(gCLU.x, gCLU.y, nX1, nY1);tr1.CalcPixCoordinate(gCRD.x, gCRD.y, nX2, nY2);tr2.CalcPixCoordinate(gCLU.x, gCLU.y, nX3, nY3);tr2.CalcPixCoordinate(gCRD.x, gCRD.y, nX4, nY4);cv::Rect r1 = cv::Rect(nX1, nY1, (nX2 - nX1), (nY2 - nY1));cv::Rect r2 = cv::Rect(nX3, nY3, (nX4 - nX3), (nY4 - nY3));r1.width = r1.width < r2.width ? r1.width : r2.width;r1.height = r1.height < r2.height ? r1.height : r2.height;r2.width = r1.width;r2.height = r1.height;//保证不越界while (r1.x + r1.width > mSrcGray1.cols || r2.x + r2.width > mSrcGray2.cols){--r1.width;--r2.width;}while (r1.y + r1.height > mSrcGray1.rows || r2.y + r2.height > mSrcGray2.rows){--r1.height;--r2.height;}if (r1.width > 0 && r1.height > 0 && r2.width > 0 && r2.height > 0){double dWidth = r1.width, dHeight = r1.height;dXOverlap = (dWidth / mSrcGray1.cols + dWidth/ mSrcGray2.cols) / 2;dYOverlap = (dHeight / mSrcGray1.rows + dHeight / mSrcGray2.rows) / 2;cv::Mat MatC1(mSrcGray1, r1);cv::Mat MatC2(mSrcGray2, r2);//输出灰度图switch (nMethod){case 0:cv::absdiff(MatC1, MatC2, mDst);case 1:break;default:break;}trDst.m_dXCoordinate = gCLU.x;trDst.m_dYCoordinate = gCLU.y;trDst.m_dXResolution = tr1.m_dXResolution;trDst.m_dYResolution = tr1.m_dYResolution;trDst.m_dXRotatePara = tr1.m_dXRotatePara;trDst.m_dYRotatePara = tr1.m_dYRotatePara;//正常情况下到达此处return true;}}return false;
}void COpenCVFunctionTestDlg::OnBnClickedButtonTifsub()
{CString strDirPath = sdf.BrowseDir();std::list<CString> lFilesInDir;sdf.ReadDirFiles(strDirPath, lFilesInDir, ".tif", false);if (lFilesInDir.size() != 2){MessageBox("影像数目不对，只能为2张!", "提示！", MB_ICONERROR);return;}CString strTif1 = *(lFilesInDir.begin());CString strTif2 = *(lFilesInDir.rbegin());cv::Mat mGray1= cv::imread(sdf.CString2Char(strTif1), CV_LOAD_IMAGE_GRAYSCALE);cv::Mat mGray2= cv::imread(sdf.CString2Char(strTif2), CV_LOAD_IMAGE_GRAYSCALE);CString strTfw1 = sdf.ReplaceSuffix(strTif1, ".tfw");CString strTfw2 = sdf.ReplaceSuffix(strTif2, ".tfw");cv::Mat mDstGray;CString strSavePath = sdf.AppendSlash(sdf.GetDirOfFile(strTif1)) + "result.tif";if (!sdf.IfExistsFile(strTfw1) || !sdf.IfExistsFile(strTfw2)){if (mGray1.size() == mGray2.size()){//图像直接相减cv::absdiff(mGray1, mGray2, mDstGray);cv::imwrite(sdf.CString2Char(strSavePath), mDstGray);}}else{//根据tfw相减CTfwReader tr1(strTfw1);CTfwReader tr2(strTfw2);CTfwReader trDst(tr1);double dXOverlap = 0.0, dYOverlap = 0.0;GetTifInter(mGray1, tr1, mGray2, tr2, mDstGray, trDst, dXOverlap, dYOverlap);cv::imwrite(sdf.CString2Char(strSavePath), mDstGray);trDst.SaveAsTfwFile(sdf.ReplaceSuffix(strSavePath, ".tfw"));}MessageBox("处理完成!", "提示！", MB_ICONINFORMATION);
}int SurfPics(const std::string strPic1, const std::string strPic2);
int SurfPics2(const std::string strPic1, const std::string strPic2);
void COpenCVFunctionTestDlg::OnBnClickedButtonSurf()
{// TODO: 在此添加控件通知处理程序代码CString strPic1 = sdf.OpenSuffixFile(".tif");CString strPic2 = sdf.OpenSuffixFile(".tif");SurfPics(sdf.CString2Char(strPic1), sdf.CString2Char(strPic2));AfxMessageBox(_T("Over!"));
}void COpenCVFunctionTestDlg::OnBnClickedButtonSurf2()
{// TODO: 在此添加控件通知处理程序代码CString strPic1 = sdf.OpenSuffixFile(".tif");CString strPic2 = sdf.OpenSuffixFile(".tif");SurfPics2(sdf.CString2Char(strPic1), sdf.CString2Char(strPic2));AfxMessageBox(_T("Over!"));
}int Colorfloodfill(char* filename = nullptr);
void COpenCVFunctionTestDlg::OnBnClickedButtonFloodfill()
{// TODO: 在此添加控件通知处理程序代码CString strPic1 = sdf.OpenSuffixFile(".jpg");Colorfloodfill(sdf.CString2Char(strPic1));AfxMessageBox(_T("Over!"));
}int Nearestmain(const char* szFilePath, const char* szDstDir, const char* szEvalutionPath);void COpenCVFunctionTestDlg::OnBnClickedButtonNearest()
{// TODO: 在此添加控件通知处理程序代码// TODO: 在此添加控件通知处理程序代码CString strPic1 = sdf.OpenSuffixFile(".bmp");const char* szFilePath = sdf.CString2Char(strPic1);//char load_srimg[] = "./data/dqh-0.6m-4.bmp";//char output_path[] = "./output/";//char evalution_path[] = "./output/evalution.txt";Nearestmain(szFilePath, "D:\\output\\", "D:\\output\evalution.txt");AfxMessageBox(_T("Over!"));
}

内容就如上面的按钮所示了，每个按钮都实现了对应的功能，不过也存在问题，比如闪退，崩溃啥的，毕竟只是测试程序，正式项目里面解决了问题但是这个测试代码未更新也是正常的。

下面是可执行程序：

下载地址：opencv249.rar - 蓝奏云文件大小：4.3 M|https://autumoon.lanzouq.com/ihx3206hompa

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