Question

在opencv的旧版本中，我们有像CvvImage这样的类，它们很容易用于MFC控件来显示来自OpenCV的摄像机图像或简单图像。但是在2.4或2.3中，这个支持由OpenCV完成，我想知道我们是否有新版本的其他类。

我的应用程序是MFC SDI和内部视图我正在使用OnPaint功能。在之前的opencv中我使用了像

这样的Paint函数

void CRightCameraView::OnPaint()
{
    CPaintDC dc(this); // device context for painting
    m_CVvimageObj.CopyOf(m_iplImageFrame); //copy IplImage frame

    if(m_bImageDisplay)
    {
    m_CVvimageObj.Show(dc.GetSafeHdc(),10,0,m_CVvimageObj.Width(),m_CVvimageObj.Height());
    }


}

请指导我做同样事情的最新版本的类，并支持MFC的这种DC控制。

Answer 1

由于我找不到答案，我想帮助别人做的事情。

我已手动提取cvvimage类并添加到我的项目中，然后我执行了以下操作..

在我的视图头文件中我声明了

CvvImage m_CVvImageObj;
cv::Mat m_matImage;

在我的CPP文件视图中，我在初始化函数中调用了以下内容

m_matImage = cv::imread(strA.GetBuffer(),CV_LOAD_IMAGE_COLOR);   // Read the file

if(! m_matImage.data )                              // Check for invalid input
{
    AfxMessageBox(L"Could not open or find the image");
}


 IplImage iplimg = m_matImage;
 m_CVvImageObj.CopyOf(&iplimg);
 UpdateData();
 Invalidate();

在OnPaint内部的覆盖函数里面我添加了

if(m_CVvImageObj.GetImage())
{       
    //m_CurrentFrame.Show
        m_CVvImageObj.Show(dc.GetSafeHdc(),10,0,m_CVvImageObj.Width(),m_CVvImageObj.Height());
}

Cvvimage h文件如下

#pragma once

//#pragma once  
#ifndef CVVIMAGE_CLASS_DEF  
#define CVVIMAGE_CLASS_DEF  

#include <opencv2\highgui\highgui.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 );  
    virtual void DrawToHDC( HDC hDCDst, CvRect pDstRect ); 
#endif  

protected:

    IplImage* m_img;

};

typedef CvvImage CImage;

#endif

和cvvimage类的CPP文件如下：

///////////////////////////////////////////////////////////////////////////////////////////////////
//CvvImage.cpp

#include "StdAfx.h"  
#include "CvvImage.h"
///////////////////////////////////////////////////////////////////////////////////////////////////

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::DrawToHDC( HDC hDCDst, CvRect pDstRect )
{
    RECT rDest=CvRectToRect(pDstRect);
    DrawToHDC(hDCDst,&rDest);
}
void CvvImage::Fill( int color )
{
    cvSet( m_img, cvScalar(color&255,(color>>8)&255,(color>>16)&255,(color>>24)&255) );
}

享受。

Answer 2

1.首先加载图片获取图片名称和路径。

void CvlistDlg::OnBnClickedRead()
{
    CString     FilePathName;
    CString     FileName;
    CFileDialog openVideo(true);
    openVideo.m_ofn.lpstrTitle = _T("Open");
    if (IDOK == openVideo.DoModal()){
        FileName = openVideo.GetFileName();
        FilePathName = openVideo.GetPathName();
        _currentFile._fileName = FileName;
        _currentFile._filePath = FilePathName;
    }
 }

2.add按照按钮回调功能中的代码。

void CvlistDlg::OnBnClickedOk(){
    cv::Mat img = cv::imread(str);
    CDC *pDC = GetDlgItem(IDC_Pic)->GetDC();
    HDC hDC = pDC->GetSafeHdc();
    CRect rect;
    GetDlgItem(IDC_Pic)->GetClientRect(&rect);
    int rw = rect.right - rect.left;     //the width of your picture control
    int rh = rect.bottom - rect.top;
    if (!img.data){
        MessageBox(_T("read picture fail！"));
        return;
    }
    cv::resize(img, img, cv::Size(rw, rh));     
    IplImage iplimg = img;
    m_CVvImageObj.CopyOf(&iplimg);
    UpdateData();
    if (m_CVvImageObj.GetImage()){
        m_CVvImageObj.Show(pDC->GetSafeHdc(), 0, 0, rw, rh);
    }
}

我希望那些人可以给你一些帮助。

Answer 3

您不需要IplImage。基本上你可以使用StretchDIBits将cv :: Mat绘制到MFC控件的DC。它接受指向存储位图的存储器块的指针......在本例中为cv :: Mat.data

但请记住（这让我以前疯狂）

GDI需要DWORD对齐，而cv :: Mat不使用任何行填充
此外，您的Mat可能是投资回报率，这意味着最后每一行都没有下一行但是图像仍在继续

您可以使用cols％4 == 0的图像在OpenCV中进行DWORD对齐，以便为图像添加边框

save()

使用copyMakeBorder，您将解决这两个要求

另一个问题是灰色图像，因为MFC需要一个平面调色板来显示它。您可以使用cvtColor转换Mat或创建调色板：

  border = 4 - (img.cols % 4);
  if ( (border<4 && border > 0) || img.isContinuous() == false)
  {
    cv::copyMakeBorder(img, tmpImg, 0, 0, 0, border, cv::BORDER_CONSTANT, 0);
  }
  else
    tmpImg = img

最终吸引到HDC

   uchar buffer[sizeof(BITMAPINFO) + 1024];
   BITMAPINFO* bmi = (BITMAPINFO*)buffer;
   BITMAPINFOHEADER* bmih = &(bmi->bmiHeader);
   bmih->biBitCount = 8*img.elemenSize()
   bmih->biWidth = tmpImg.cols;
   bmih->biHeight = -tmpImg.rows;// DIB are bottom ->top
   bmih->...

  //The palette is required for grey image
  if (bmih->biBitCount == 8)
  {
    RGBQUAD* palette = bmi->bmiColors;
    for (int i = 0; i < 256; i++)
    {
      palette[i].rgbBlue = palette[i].rgbGreen = palette[i].rgbRed = (BYTE)i;
      palette[i].rgbReserved = 0;
    }
  }

您可以在此处找到详细信息和类来管理图像拟合： http://www.pklab.net/?&id=390&lang=EN&t=How-to-display-an-OpenCV-image-or-video-in-your-own-MFC-interface

使用OpenCV 2.4在MFC SDI视图或控件中加载图像

3 个答案: