在MFC控件中显示opencv库中的图像或者视频

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前两天拿到了一个在MFC中显示opencv图像的一个我们实验室以前毕业的学生的Demo, 但是他用的时候还是opencv1.X的版本呢,我新安装的opencv2.3.1的版本,所以这里遇到了一些问题,和大家分享一下。

 

没有具体研究过opencv ,但是opencv在MFC中显示图像需要用的一个叫做CvvImage的类的DrawToHDC()的函数,但是我在2.3.1下却怎么也没有找到这个类,和这个函数。在2.3.1的文档下没有关于这个的任何资料,不知道是不是新版本的opencv去掉了这个类,或者用其他的方式实现了。所以我需要用以前的方式实现这个类。在网上找了一些资料。发现这个问题可以这样处理。

 

我们可以自己建立一个CvvImage.h和一个CvvImage.cpp的文件,添加到工程中。这样我们在工程中包含上这个CvvImage.h的头文件,就可以正常的按照以前的方式使用CvvImage类将图像绘制到MFC控件中了。

下面是CvvImage.h的源码:

#pragma once#ifndef CVVIMAGE_CLASS_DEF#define CVVIMAGE_CLASS_DEF#include "opencv.hpp"/* 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 );#endifprotected:   IplImage*  m_img;};typedef CvvImage CImage;#endif


 

然后是CvvImage.cpp 的源码:

#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();      /* 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) );}


在使用的时候只需要分别建立两个文件,把代码复制进去。然后在工程里面添加这个文件的头文件就可以。

#include "stdafx.h"#include "MyMFC.h"#include "MyMFCDlg.h"#include "afxdialogex.h"#include "CvvImage.h"


下面给出部分显示图像的代码。

按钮选择图像功能:

void CMyMFCDlg::OnBnClickedButton1(){// TODO: Add your control notification handler code here// 选项图片的约定CFileDialog dlg(TRUE, _T("*.bmp"), NULL,OFN_FILEMUSTEXIST | OFN_PATHMUSTEXIST | OFN_HIDEREADONLY,_T("All Files (*.*) |*.*||"), NULL);// 打开文件对话框的标题名dlg.m_ofn.lpstrTitle = _T("Open Image");// 判断是否获得图片if( dlg.DoModal() != IDOK )return;// 获取图片路径CString mPath = dlg.GetPathName();// 读取图片、缓存到一个局部变量 ipl 中IplImage* ipl = cvLoadImage( mPath, 1 );// 判断是否成功读取图片if( !ipl )    return;// 对上一幅显示的图片数据清零if( theImage )    cvZero( theImage );// 对读入的图片进行缩放,使其宽或高最大值者刚好等于 256,再复制到 TheImage 中ResizeImage( ipl );// 调用显示图片函数ShowImage( theImage, IDC_ShowImage );// 释放 ipl 占用的内存cvReleaseImage( &ipl );}


 

几个调用的函数:

void CMyMFCDlg::ResizeImage(IplImage* img){// 读取图片的宽和高int w = img->width;int h = img->height; // 找出宽和高中的较大值者int max = (w > h)? w: h; // 计算将图片缩放到TheImage区域所需的比例因子float scale = (float) ( (float) max / 256.0f ); // 缩放后图片的宽和高int nw = (int)( w/scale );int nh = (int)( h/scale ); // 为了将缩放后的图片存入 TheImage 的正中部位,需计算图片在 TheImage 左上角的期望坐标值int tlx = (nw > nh)? 0: (int)(256-nw)/2;int tly = (nw > nh)? (int)(256-nh)/2: 0; // 设置 TheImage 的 ROI 区域,用来存入图片 imgcvSetImageROI( theImage, cvRect( tlx, tly, nw, nh) ); // 对图片 img 进行缩放,并存入到 TheImage 中cvResize( img, theImage ); // 重置 TheImage 的 ROI 准备读入下一幅图片cvResetImageROI( theImage );}void CMyMFCDlg::ShowImage(IplImage* img, UINT ID){// 获得显示控件的 DCCDC* pDC = GetDlgItem( ID ) ->GetDC();// 获取 HDC(设备句柄) 来进行绘图操作HDC hDC = pDC ->GetSafeHdc(); CRect rect;GetDlgItem(ID) ->GetClientRect( &rect );// 求出图片控件的宽和高int rw = rect.right - rect.left;int rh = rect.bottom - rect.top;// 读取图片的宽和高int iw = img->width;int ih = img->height;// 使图片的显示位置正好在控件的正中int tx = (int)(rw - iw)/2;int ty = (int)(rh - ih)/2;SetRect( rect, tx, ty, tx+iw, ty+ih );// 复制图片CvvImage cimg;cimg.CopyOf( img );// 将图片绘制到显示控件的指定区域内cimg.DrawToHDC( hDC, &rect ); ReleaseDC( pDC );}


 

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