OpenCV 2.2.0 CvvImage的使用
转自：http://blog.csdn.net/raocong2010/archive/2011/01/17/6146158.aspx#
前几日，OpenCV 2.2.0版本出现了...但是...以前版本的CvvImage类不见了...为了能够继续使用这个类，下面把这个类的源代码贴出来，使用的时候将该代码加入到工程中便可以使用了。为了方便切换OpenCV的版本，这里用到了一些条件编译宏，来保证代码的灵活性。
不过OpenCV 2.2.0取消CvvImage这个类，一定是有它的原因的，具体可以在做实验的时候体会这些原因。
CvvImage头文件
#ifndef CVVIMAGE_CLASS_DEF
#define CVVIMAGE_CLASS_DEF
#include <cv.h>
#include <highgui.h>
/* CvvImage class definition */
class CvvImage
{
public:
CvvImage();
virtual ~CvvImage();
/* Create image (BGR or grayscale) */
virtual bool Create( int width, int height, int bits_per_pixel, int image_origin = 0 );
/* Load image from specified file */
virtual bool Load( const char* filename, int desired_color = 1 );
/* Load rectangle from the file */
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
/* Save entire image to specified file. */
virtual bool Save( const char* filename );
/* Get copy of input image ROI */
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);
/* width and height of ROI */
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 );
/* draw to highgui window */
virtual void Show( const char* window );
#if defined WIN32 || defined _WIN32
/* draw part of image to the specified DC */
virtual void Show( HDC dc, int x, int y, int width, int height,
int from_x = 0, int from_y = 0 );
/* draw the current image ROI to the specified rectangle of the destination DC */
virtual void DrawToHDC( HDC hDCDst, RECT* pDstRect );
#endif
protected:
IplImage* m_img;
};
typedef CvvImage CImage;
#endif
CvvImage源文件
#include "public.h"
#ifndef RC_OPENCV_2_1_0 // RC_OPENCV_2_1_0
#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();
/* prepare IPL header */
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;
}
/* truncate r to source image */
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) );
}
#endif // RC_OPENCV_2_1_0
public.h文件
#pragma once
#undef RC_OPENCV_2_1_0
/** 使用OpenCV 2.2.0, 则不定义下面的宏 */
/** #define RC_OPENCV_2_1_0 */
#ifdef _DEBUG
#ifdef RC_OPENCV_2_1_0
#pragma comment( lib, "cxcore210d.lib" )
#pragma comment( lib, "cv210d.lib" )
#pragma comment( lib, "highgui210d.lib" )
#else
#pragma comment( lib, "opencv_core220d.lib" )
#pragma comment( lib, "opencv_highgui220d.lib" )
#pragma comment( lib, "opencv_imgproc220d.lib" )
#endif
#else
#ifdef RC_OPENCV_2_1_0
#pragma comment( lib, "cxcore210.lib" )
#pragma comment( lib, "cv210.lib" )
#pragma comment( lib, "highgui210.lib" )
#else
#pragma comment( lib, "opencv_core220.lib" )
#pragma comment( lib, "opencv_highgui220.lib" )
#pragma comment( lib, "opencv_imgproc220.lib" )
#endif
#endif
OpenCV 2.2.0 CvvImage的使用相关推荐
- OpenCV 3.1.0中的Mat对象使用
一: Mat介绍 OpenCV刚出来的时候图像加载内存之后的对象是IplImage作为数据对象,里面存储了图像的像素数据和宽.高.位图深度.图像大小.通道数等基本属性.IplImage结构是C语言体系 ...
- Python 路径问题：cv2.error: OpenCV(4.1.0)...size.width＞0 size.height＞0 in function ‘cv::imshow‘. 解决方法
cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\highgui\src\wi ndow.cpp:352: error ...
- CV：Visual Studio 2015版本+CUDA8.0+Cudnn8.0+OpenCV 3.1.0版本完美解决的详细攻略
CV:Visual Studio 2015版本+CUDA8.0+Cudnn8.0+OpenCV 3.1.0版本完美解决的详细攻略 导读:网上教程一大把,瞎指挥的不少,剪不断理还乱,可气的事,还误人子弟 ...
- (win10 64位系统中)Visual Studio 2015+OpenCV 3.3.0环境搭建，100%成功
(win10 64位系统中)Visual Studio 2015+OpenCV 3.3.0环境搭建,100%成功 Visual Studio 2015下载地址:https://msdn.itellyo ...
- 利用python安装opencv_科学网—Anaconda Python PyCharm PyQT5 OpenCV PyTorch TF2.0 安装指南 - 张重生的博文...
Anaconda Python PyCharm PyQT5 OpenCV PyTorch TF2.0 安装指南与资料汇总 (用Anaconda配置Python集成开发环境,含Python3, PyQT ...
- Visual Studio 2017在编译OpenCV 4.2.0时出现编译器错误C2001：常量中有换行符
Visual Studio 2017在编译OpenCV 4.2.0时出现编译器错误C2001:常量中有换行符 问题描述: Visual Studio 2017在编译OpenCV 4.2.0时出现编译器 ...
- Windows下编译扩展OpenCV 3.1.0 + opencv_contrib
在Windows下编译扩展OpenCV 3.1.0 + opencv_contrib 为什么要CMake,这里我陈述自己的想法,作为一个刚使用opencv库的小白来说,有以下大概三点内容 1.由于在学 ...
- ubuntu16.04 安装Opencv 3.1.0 import cv2 报错ImportError: No module named hdf5
ubuntu16.04 安装Opencv 3.1.0 import cv2时报错: Traceback (most recent call last): File "<stdin ...
- Windows 下 OpenCV 3.4.0 + Contrib 部署文档 (VS2015 Android)
声明 以下[参考]链接,如有侵权,请联系删除,在此先感谢在网络上无私奉献的人们~ 如有错误,请联系更正,GitHub同文地址 文章目录 声明 VS 篇 编译 OpenCV + OpenCV_Contr ...
最新文章
- 数据派新年寄语 | 新时代，新年好！
- mysql免安装服务器配置_MYSQL免安装环境配置
- 大家看看这个参数inctype你是否使用过？我做了以下测试，欢迎拍砖！
- Maven（四）：定制库到Mave本地资源库 （Kaptcha）
- Lab1--关于安装JUnit的简要描述
- 怎么用计算机看,如何巧妙的查看电脑使用痕迹
- 常见问题一：Ext.Net的缓存与session值在当前页总是不变
- MongoDB集群架构 调整，增加延迟备份节点服务器，删除仲裁节点（9）
- OK插件安装常见问题集锦(PowerPoint版)|OneKeyTools Lite安装说明
- 如何免费将office文档转成PDF的几种方法
- python发送qq邮件失败_python发送QQ邮件
- ASP.NET实现将word文档转换成pdf的方法
- 计算机课前导学结题报告,《导学──自悟》课题研究的结题报告
- 5.5 高斯型求积公式简历
- 美国使用计算机语言排行,权威首发!2017年USNews美国大学研究生计算机编程语言专业排名...
- 转载一篇知乎上的文章
- GPT分区下DEEPINV20.6添加win7（MBR）启动
- 对数据集“Netflix电影电视剧及用户观影数据“的分析处理和可视化
- 阿里云字体图标的引用
- idea里把选中的变为大写或小写快捷键