VS2010+Opencv+MFC读取图像和视频显示在Picture控件，供大家参考，具体内容如下

1.新建MFC对话框应用程序。

其余选项默认，单击完成，创建出对话框应用程序。删掉原来自带的一些控件，添加picture控件和两个按钮。

2.由于以后的代码会用到CvvImage类，而opencv2.3以后就去掉了对它的支持，这里先介绍添加CvvImage支持的方法，直接能用的可以略过这一步。

如下图添加相应的文件：

这里附上两个文件的源码方便使用。

#pragma once

#ifndef CVVIMAGE_CLASS_DEF

#define CVVIMAGE_CLASS_DEF

#include "opencv.hpp"

class CvvImage

{

public:

CvvImage();

virtual ~CvvImage();

virtual bool Create( int width, int height, int bits_per_pixel, int image_origin = 0 );

virtual bool Load( const char* filename, int desired_color = 1 );

virtual bool LoadRect( const char* filename,

int desired_color, CvRect r );

#if defined WIN32 || defined _WIN32

virtual bool LoadRect( const char* filename,

int desired_color, RECT r )

{

return LoadRect( filename, desired_color,

cvRect( r.left, r.top, r.right - r.left, r.bottom - r.top ));

}

#endif

virtual bool Save( const char* filename );

virtual void CopyOf( CvvImage& image, int desired_color = -1 );

virtual void CopyOf( IplImage* img, int desired_color = -1 );

IplImage* GetImage() { return m_img; };

virtual void Destroy(void);

int Width() { return !m_img ? 0 : !m_img->roi ? m_img->width : m_img->roi->width; };

int Height() { return !m_img ? 0 : !m_img->roi ? m_img->height : m_img->roi->height;};

int Bpp() { return m_img ? (m_img->depth & 255)*m_img->nChannels : 0; };

virtual void Fill( int color );

virtual void Show( const char* window );

#if defined WIN32 || defined _WIN32

virtual void Show( HDC dc, int x, int y, int width, int height,

int from_x = 0, int from_y = 0 );

virtual void DrawToHDC( HDC hDCDst, RECT* pDstRect );

#endif

protected:

IplImage* m_img;

};

typedef CvvImage CImage;

#endif

#include "StdAfx.h"

#include "CvvImage.h"

//

// Construction/Destruction

//

CV_INLINE RECT NormalizeRect( RECT r );

CV_INLINE RECT NormalizeRect( RECT r )

{

int t;

if( r.left > r.right )

{

t = r.left;

r.left = r.right;

r.right = t;

}

if( r.top > r.bottom )

{

t = r.top;

r.top = r.bottom;

r.bottom = t;

}

return r;

}

CV_INLINE CvRect RectToCvRect( RECT sr );

CV_INLINE CvRect RectToCvRect( RECT sr )

{

sr = NormalizeRect( sr );

return cvRect( sr.left, sr.top, sr.right - sr.left, sr.bottom - sr.top );

}

CV_INLINE RECT CvRectToRect( CvRect sr );

CV_INLINE RECT CvRectToRect( CvRect sr )

{

RECT dr;

dr.left = sr.x;

dr.top = sr.y;

dr.right = sr.x + sr.width;

dr.bottom = sr.y + sr.height;

return dr;

}

CV_INLINE IplROI RectToROI( RECT r );

CV_INLINE IplROI RectToROI( RECT r )

{

IplROI roi;

r = NormalizeRect( r );

roi.xOffset = r.left;

roi.yOffset = r.top;

roi.width = r.right - r.left;

roi.height = r.bottom - r.top;

roi.coi = 0;

return roi;

}

void FillBitmapInfo( BITMAPINFO* bmi, int width, int height, int bpp, int origin )

{

assert( bmi && width >= 0 && height >= 0 && (bpp == 8 || bpp == 24 || bpp == 32));

BITMAPINFOHEADER* bmih = &(bmi->bmiHeader);

memset( bmih, 0, sizeof(*bmih));

bmih->biSize = sizeof(BITMAPINFOHEADER);

bmih->biWidth = width;

bmih->biHeight = origin ? abs(height) : -abs(height);

bmih->biPlanes = 1;

bmih->biBitCount = (unsigned short)bpp;

bmih->biCompression = BI_RGB;

if( bpp == 8 )

{

RGBQUAD* palette = bmi->bmiColors;

int i;

for( i = 0; i < 256; i++ )

{

palette[i].rgbBlue = palette[i].rgbGreen = palette[i].rgbRed = (BYTE)i;

palette[i].rgbReserved = 0;

}

}

}

CvvImage::CvvImage()

{

m_img = 0;

}

void CvvImage::Destroy()

{

cvReleaseImage( &m_img );

}

CvvImage::~CvvImage()

{

Destroy();

}

bool CvvImage::Create( int w, int h, int bpp, int origin )

{

const unsigned max_img_size = 10000;

if( (bpp != 8 && bpp != 24 && bpp != 32) ||

(unsigned)w >= max_img_size || (unsigned)h >= max_img_size ||

(origin != IPL_ORIGIN_TL && origin != IPL_ORIGIN_BL))

{

assert(0); // most probably, it is a programming error

return false;

}

if( !m_img || Bpp() != bpp || m_img->width != w || m_img->height != h )

{

if( m_img && m_img->nSize == sizeof(IplImage))

Destroy();

m_img = cvCreateImage( cvSize( w, h ), IPL_DEPTH_8U, bpp/8 );

}

if( m_img )

m_img->origin = origin == 0 ? IPL_ORIGIN_TL : IPL_ORIGIN_BL;

return m_img != 0;

}

void CvvImage::CopyOf( CvvImage& image, int desired_color )

{

IplImage* img = image.GetImage();

if( img )

{

CopyOf( img, desired_color );

}

}

#define HG_IS_IMAGE(img) \

((img) != 0 && ((const IplImage*)(img))->nSize == sizeof(IplImage) && \

((IplImage*)img)->imageData != 0)

void CvvImage::CopyOf( IplImage* img, int desired_color )

{

if( HG_IS_IMAGE(img) )

{

int color = desired_color;

CvSize size = cvGetSize( img );

if( color < 0 )

color = img->nChannels > 1;

if( Create( size.width, size.height,

(!color ? 1 : img->nChannels > 1 ? img->nChannels : 3)*8,

img->origin ))

{

cvConvertImage( img, m_img, 0 );

}

}

}

bool CvvImage::Load( const char* filename, int desired_color )

{

IplImage* img = cvLoadImage( filename, desired_color );

if( !img )

return false;

CopyOf( img, desired_color );

cvReleaseImage( &img );

return true;

}

bool CvvImage::LoadRect( const char* filename,

int desired_color, CvRect r )

{

if( r.width < 0 || r.height < 0 ) return false;

IplImage* img = cvLoadImage( filename, desired_color );

if( !img )

return false;

if( r.width == 0 || r.height == 0 )

{

r.width = img->width;

r.height = img->height;

r.x = r.y = 0;

}

if( r.x > img->width || r.y > img->height ||

r.x + r.width < 0 || r.y + r.height < 0 )

{

cvReleaseImage( &img );

return false;

}

if( r.x < 0 )

{

r.width += r.x;

r.x = 0;

}

if( r.y < 0 )

{

r.height += r.y;

r.y = 0;

}

if( r.x + r.width > img->width )

r.width = img->width - r.x;

if( r.y + r.height > img->height )

r.height = img->height - r.y;

cvSetImageROI( img, r );

CopyOf( img, desired_color );

cvReleaseImage( &img );

return true;

}

bool CvvImage::Save( const char* filename )

{

if( !m_img )

return false;

cvSaveImage( filename, m_img );

return true;

}

void CvvImage::Show( const char* window )

{

if( m_img )

cvShowImage( window, m_img );

}

void CvvImage::Show( HDC dc, int x, int y, int w, int h, int from_x, int from_y )

{

if( m_img && m_img->depth == IPL_DEPTH_8U )

{

uchar buffer[sizeof(BITMAPINFOHEADER) + 1024];

BITMAPINFO* bmi = (BITMAPINFO*)buffer;

int bmp_w = m_img->width, bmp_h = m_img->height;

FillBitmapInfo( bmi, bmp_w, bmp_h, Bpp(), m_img->origin );

from_x = MIN( MAX( from_x, 0 ), bmp_w - 1 );

from_y = MIN( MAX( from_y, 0 ), bmp_h - 1 );

int sw = MAX( MIN( bmp_w - from_x, w ), 0 );

int sh = MAX( MIN( bmp_h - from_y, h ), 0 );

SetDIBitsToDevice(

dc, x, y, sw, sh, from_x, from_y, from_y, sh,

m_img->imageData + from_y*m_img->widthStep,

bmi, DIB_RGB_COLORS );

}

}

void CvvImage::DrawToHDC( HDC hDCDst, RECT* pDstRect )

{

if( pDstRect && m_img && m_img->depth == IPL_DEPTH_8U && m_img->imageData )

{

uchar buffer[sizeof(BITMAPINFOHEADER) + 1024];

BITMAPINFO* bmi = (BITMAPINFO*)buffer;

int bmp_w = m_img->width, bmp_h = m_img->height;

CvRect roi = cvGetImageROI( m_img );

CvRect dst = RectToCvRect( *pDstRect );

if( roi.width == dst.width && roi.height == dst.height )

{

Show( hDCDst, dst.x, dst.y, dst.width, dst.height, roi.x, roi.y );

return;

}

if( roi.width > dst.width )

{

SetStretchBltMode(

hDCDst, // handle to device context

HALFTONE );

}

else

{

SetStretchBltMode(

hDCDst, // handle to device context

COLORONCOLOR );

}

FillBitmapInfo( bmi, bmp_w, bmp_h, Bpp(), m_img->origin );

::StretchDIBits(

hDCDst,

dst.x, dst.y, dst.width, dst.height,

roi.x, roi.y, roi.width, roi.height,

m_img->imageData, bmi, DIB_RGB_COLORS, SRCCOPY );

}

}

void CvvImage::Fill( int color )

{

cvSet( m_img, cvScalar(color&255,(color>>8)&255,(color>>16)&255,(color>>24)&255) );

}

在需要引用该类的地方添加如下引用：

3.在Picture控件中显示图片

如图所示修改控件ID，并删除按钮已存在的响应代码。双击显示图片添加以下代码：

void CopencvtestDlg::OnBnClickedCancel()

{

// TODO: 在此添加控件通知处理程序代码

CDC *pDC = GetDlgItem(IDC_STATIC)->GetDC();//根据ID获得窗口指针再获取与该窗口关联的上下文指针

HDC hdc= pDC->GetSafeHdc(); // 获取设备上下文句柄

CRect rect;

// 矩形类

GetDlgItem(IDC_STATIC)->GetClientRect(&rect); //获取box1客户区

CvvImage cimg;

IplImage *src; // 定义IplImage指针变量src

src = cvLoadImage("D:\\me.bmp",-1); // 将src指向当前工程文件目录下的图像me.bmp

cimg.CopyOf(src,src->nChannels);

cimg.DrawToHDC(hdc,&rect);

//输出图像

ReleaseDC( pDC );

cimg.Destroy();

//销毁

}

4.播放视频

双击播放视频按钮，添加如下代码：

void CopencvtestDlg::OnBnClickedOk()

{

// TODO: 在此添加控件通知处理程序代码

//IplImage *src; // 定义IplImage指针变量src

// src = cvLoadImage("D:\\me.bmp",-1); // 将src指向当前工程文件目录下的图像me.bmp

// cvNamedWindow("me",0);//定义一个窗口名为lena的显示窗口

// cvShowImage("me",src);//在lena窗口中，显示src指针所指向的图像

// cvWaitKey(0);//无限等待，即图像总显示

// cvDestroyWindow("me");//销毁窗口lena

// cvReleaseImage(&src);//释放IplImage指针src

CDC *pDC = GetDlgItem(IDC_STATIC)->GetDC();//根据ID获得窗口指针再获取与该窗口关联的上下文指针

HDC hdc= pDC->GetSafeHdc(); // 获取设备上下文句柄

CRect rect;

// 矩形类

GetDlgItem(IDC_STATIC)->GetClientRect(&rect); //获取box1客户区

CvCapture *capture = cvCreateFileCapture ("D:\\tree.avi"); //读取视频

if(capture==NULL) {

printf("NO capture"); //读取不成功，则标识

//return 1;

};

double fps=cvGetCaptureProperty(capture, CV_CAP_PROP_FPS ); //读取视频的帧率

int vfps = 1000 / fps; //计算每帧播放的时间

printf("%5.1f\t%5d\n",fps,vfps);

double frames=cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_COUNT);//读取视频中有多少帧

printf("frames is %f\n",frames);

//cvNamedWindow("example",CV_WINDOW_AUTOSIZE); //定义窗口

IplImage *frame;

CvvImage cimg;

while(1){

frame = cvQueryFrame( capture ); //抓取帧

cimg.CopyOf(frame,frame->nChannels);

cimg.DrawToHDC(hdc,&rect);

float ratio = cvGetCaptureProperty(capture, CV_CAP_PROP_POS_AVI_RATIO); //读取该帧在视频中的相对位置

printf("%f\n",ratio);

if(!frame)break;

//cvShowImage("IDC_STATIC",frame); //显示

char c = cvWaitKey(vfps);

if(c == 27 )break;

}

ReleaseDC( pDC );

cvReleaseCapture(&capture);

cvDestroyWindow("example");

}

最终效果：

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。