解决Opencv高低版本不兼容问题
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目前OpenCV版本已更新到2.4...由此出现了一系列问题，解决如下：
1、cxcore.h等头文件找不到：
法一、将opencv1.0中的各种.h或者.lib文件拷到opencv2.3.1对应include/library的路径的文件夹下。
e.g. Cannot open include file: 'cxtypes.h': No such file or directory
像这种情况，在opencv1.0中又搜索不到的，果断把#include"cxtypes.h"删掉，其他问题慢慢解决。
2、CvFilter未定义：
opencv高级版本不在含有CvFilter，那么就把类型改成int吧……
3、CvvImage类找不到定义……
高级版本中，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。
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CvvImage头文件
#ifndef CVVIMAGE_CLASS_DEF#define CVVIMAGE_CLASS_DEF#ifndef RC_OPENCV_2_1_0#include CvvImage源文件
#include "stdafx.h" #ifndef 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 给我老师的人工智能教程打call！http://blog.csdn.net/jiangjunshow
