VS2010+Opencv+MFC读取图像和视频显示在Picture控件
更新时间:2019年08月28日 10:51:14 作者:Hello_________Word
这篇文章主要为大家详细介绍了VS2010+Opencv+MFC读取图像和视频显示在Picture控件,具有一定的参考价值,感兴趣的小伙伴们可以参考一下
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。
相关文章
C++ 中 <iterator> <functional>&nbs
这篇文章主要介绍了C++ 中 <iterator> <functional> <numeric> 库好用的函数,本文通过实例代码给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友参考下吧2023-11-11
最新评论