CxImage转换成IplImage
最近由于在项目中用到了Opencv库，但是为了更好的显示图像还是使用了Cximage库，它可以快捷地存取、显示、转换各种图像。Opencv库用于高级图像处理与识别。为了使Cximage图像与Opencv图像交互，写了个Cximage转换到IplImage的类。OpenCV2CXimage.h
#pragma once/** 类说明：OpenCV图像与CXimage图像互转* 用于OpenCV的图像与CXimage图像格式互转进行封装。 OpenCV的图像位数必须是大等于8的整数倍，支持BMP，JPG图像格式；CXimage的图像位数可以是1、2、4、8、16、24，支持BMP，JPG，TIF，PNG，GIF图像格式。*/#include "unicode//ximage.h"#pragma comment(lib, "cximage_unicode.lib")//#pragma comment(lib, "j2k_unicode.lib")#pragma comment(lib, "jasper_unicode.lib")#pragma comment(lib, "jbig_unicode.lib")#pragma comment(lib, "Jpeg_unicode.lib")#pragma comment(lib, "png_unicode.lib")#pragma comment(lib, "Tiff_unicode.lib")#pragma comment(lib, "zlib_unicode.lib")#pragma comment(lib, "mng_unicode.lib")#pragma comment(lib, "libdcr_unicode.lib")#include "cv.h"#include "cxcore.h"#include "highgui.h"#ifdef _DEBUG#pragma comment(lib, "cxcore200d.lib")#pragma comment(lib, "cv200d.lib")#pragma comment(lib, "highgui200d.lib")#else#pragma comment(lib, "cxcore200.lib")#pragma comment(lib, "cv200.lib")#pragma comment(lib, "highgui200.lib")#endifclass OpenCV2CXimage{public:OpenCV2CXimage(void);~OpenCV2CXimage(void);/*功能说明: 获取黑点标记的方式参数说明:cxImage 图像处理类返回值: 黑点标记*/static int OpenCV2CXimage::GetBlackColor(CxImage cxImage);/*功能说明: 获取白点标记的方式参数说明:cxImage 图像处理类返回值: 黑点标记*/static int OpenCV2CXimage::GetWhiteColor(CxImage cxImage);/**功能说明：转换Cximage到IplImage(注：由于IplImage结构不支持图像像数非8位格式，所以强制转换成8位整数倍)*参数说明：src，表示原始Cximage图像；dst， 表示Opencv图像IplImage结构*返回值：bool类型。true，表示成功；flase,表示失败。*/bool Cximage2IplImage(CxImage *src,IplImage **dst);/**功能说明：转换IplImage到Cximage*参数说明：src，表示Opencv图像IplImage结构；dst， 表示输出Cximage图像;nBpp,表示输出Cximage图像位数占多少位[一个像数占多少位](1,8,24);*返回值：bool类型。true，表示成功；flase,表示失败。*/bool IplImage2Cximage(IplImage *src,CxImage *dst,long nBpp=8);/**功能说明：图象格式转换*参数说明：src，表示输入Cximage图像；dst， 表示输出Cximage图像；imagetype,表示图象类型*返回值：bool类型。true，表示成功；flase,表示失败。*/bool CxImageFormatConvert(CxImage *src,CxImage *dst,long imagetype = CXIMAGE_FORMAT_BMP);protected:RGBQUAD *m_pPal;//调色版int m_nPalatteCount;};
OpenCV2CXimage.cpp
#include "StdAfx.h"#include "OpenCV2CXimage.h"#include <map>using namespace std;OpenCV2CXimage::OpenCV2CXimage(void){m_pPal = NULL;m_nPalatteCount = 0;}OpenCV2CXimage::~OpenCV2CXimage(void){if(m_pPal!=NULL){delete []m_pPal;m_pPal = NULL;}}//函数名: GetBlackColor//功能:获取黑点标记的方式//参数:cxImage 图像处理类//返回值: 黑点标记int OpenCV2CXimage::GetBlackColor(CxImage cxImage){long i;int iBlackFlag = 0;RGBQUAD *pData = cxImage.GetPalette();long nPaletteSize = cxImage.GetPaletteSize()/sizeof(RGBQUAD);for(i=0;i<nPaletteSize;i++){if(pData.rgbBlue==0 && pData.rgbGreen==0 && pData.rgbRed==0){iBlackFlag = i;break;}}return iBlackFlag;}//函数名: GetWhiteColor//功能:获取白点标记的方式//参数:cxImage 图像处理类//返回值: 黑点标记int OpenCV2CXimage::GetWhiteColor(CxImage cxImage){long i;int iWhiteFlag = 255;RGBQUAD *pData = cxImage.GetPalette();long nPaletteSize = cxImage.GetPaletteSize()/sizeof(RGBQUAD);for(i=0;i<nPaletteSize;i++){if(pData.rgbBlue==255 && pData.rgbGreen==255 && pData.rgbRed==255){iWhiteFlag = i;break;}}return iWhiteFlag;}/**功能说明：转换Cximage到IplImage*参数说明：src，表示原始Cximage图像；dst， 表示Opencv图像IplImage结构*返回值：bool类型。true，表示成功；flase,表示失败。*/bool OpenCV2CXimage::Cximage2IplImage(CxImage *src,IplImage **dst){bool bRet = true;if(!src || !src->IsValid()){bRet = false;return bRet;}m_nPalatteCount = src->GetPaletteSize()/sizeof(RGBQUAD);;m_pPal = src->GetPalette();int iBackColor = GetBlackColor(*src);long i = 0,j = 0;long nImageWidth = 0,nImageHeight = 0;nImageWidth = src->GetWidth();nImageHeight = src->GetHeight();long nBitCunt = src->GetBpp();if(nBitCunt<=1){*dst = cvCreateImage(cvSize(nImageWidth,nImageHeight),IPL_DEPTH_8U,1); cvZero(*dst);//转换Cximage to IplImagefor(j=0;j<nImageHeight;j++){for(i=0;i<nImageWidth;i++){if(src->GetPixelIndex(i,j)==iBackColor){CV_IMAGE_ELEM(*dst,uchar,nImageHeight-1-j,i) = 0;}else{CV_IMAGE_ELEM(*dst,uchar,nImageHeight-1-j,i) = 255;}}}}else if(nBitCunt<=8){*dst = cvCreateImage(cvSize(nImageWidth,nImageHeight),IPL_DEPTH_8U,1); cvZero(*dst);//对应图像调色版与标准调色版的关系map<int,int> mapPalatte;RGBQUAD szSystemPal;int k = 0;for(k=0;k<256;k++){szSystemPal.rgbBlue = k;szSystemPal.rgbGreen = k;szSystemPal.rgbRed = k;szSystemPal.rgbReserved = 0;}int m = 0;for(m=0;m<m_nPalatteCount;m++){for(k=0;k<256;k++){if(m_pPal.rgbBlue==szSystemPal.rgbBlue && m_pPal.rgbGreen==szSystemPal.rgbGreen && m_pPal.rgbRed==szSystemPal.rgbRed){mapPalatte.insert(make_pair(m,k));break;}}}////////////////////////////////////////////////////////////////////////////转换Cximage to IplImagemap<int,int>::iterator iter;BYTE btIndex = 0;for(j=0;j<nImageHeight;j++){for(i=0;i<nImageWidth;i++){btIndex = src->GetPixelIndex(i,j);iter = mapPalatte.find(btIndex);if(iter!=mapPalatte.end()){btIndex = iter->second;}CV_IMAGE_ELEM(*dst,uchar,nImageHeight-1-j,i) = btIndex;}}}else if(nBitCunt<=16){*dst = cvCreateImage(cvSize(nImageWidth,nImageHeight),IPL_DEPTH_16U,1); (*dst)->origin = 1;//底—左结构 (Windows bitmaps 风格) cvZero(*dst);//转换Cximage to IplImagefor(j=0;j<nImageHeight;j++){for(i=0;i<nImageWidth;i++){BYTE *pSrc = src->GetBits(j) + 2*i;CV_IMAGE_ELEM(*dst,ushort,j,i) = (*pSrc) + (*(pSrc+1))*256;}}}else //24色{*dst = cvCreateImage(cvSize(nImageWidth,nImageHeight),IPL_DEPTH_8U,3); (*dst)->origin = 1;//底—左结构 (Windows bitmaps 风格) cvZero(*dst);//转换Cximage to IplImagmemcpy((*dst)->imageData,src->GetBits(0),src->GetSize());}return bRet;}/**功能说明：转换IplImage到Cximage*参数说明：src，表示Opencv图像IplImage结构；dst， 表示输出Cximage图像;nBpp,表示输出Cximage图像位数占多少位[一个像数占多少位]*返回值：bool类型。true，表示成功；flase,表示失败。*/bool OpenCV2CXimage::IplImage2Cximage(IplImage *src,CxImage *dst,long nBpp){bool bRet = true;if(src==NULL || dst==NULL){return false;}if(!(nBpp==1 || nBpp==8 || nBpp==24)){return false;}long i = 0,j = 0;CvSize csImageSize = cvGetSize(src);CxImage ciTmp;ciTmp.Create(csImageSize.width,csImageSize.height,src->depth,CXIMAGE_FORMAT_BMP);if(src->depth== IPL_DEPTH_8U)//灰度{ciTmp.SetStdPalette();BYTE btIndex = 0;for(j=0;j<csImageSize.height;j++){for(i=0;i<csImageSize.width;i++){btIndex = CV_IMAGE_ELEM(src,uchar,csImageSize.height-1-j,i);ciTmp.SetPixelIndex(i,j,btIndex);}}}else //彩色{//转换IplImag to Cximagememcpy(ciTmp.GetBits(0),src->imageData,src->imageSize);}//转换成需要的目标图像dst->Create(csImageSize.width,csImageSize.height,nBpp,CXIMAGE_FORMAT_BMP);if(nBpp==ciTmp.GetBpp()){dst->Copy(ciTmp);}else{if(nBpp==1)//二值{//对应图像调色版与标准调色版的关系map<int,int> mapPalatte;RGBQUAD szSystemPal;int k = 0;for(k=0;k<256;k++){szSystemPal.rgbBlue = k;szSystemPal.rgbGreen = k;szSystemPal.rgbRed = k;szSystemPal.rgbReserved = 0;}int m = 0;for(k=0;k<256;k++){for(m=0;m<m_nPalatteCount;m++){if(m_pPal.rgbBlue==szSystemPal.rgbBlue && m_pPal.rgbGreen==szSystemPal.rgbGreen && m_pPal.rgbRed==szSystemPal.rgbRed){mapPalatte.insert(make_pair(k,m));break;}}}//////////////////////////////////////////////////////////////////////////byte btValue = 0;map<int,int>::iterator iter;long nImageWidth = 0;long nImageHeight = 0;if(ciTmp.GetBpp()>8){ciTmp.GrayScale();}if(m_nPalatteCount==2) //表示原始的图象为二值图象{dst->SetPalette(m_pPal,m_nPalatteCount);btValue = 0;nImageWidth = ciTmp.GetWidth();nImageHeight = ciTmp.GetHeight();for(j=0;j<nImageHeight;j++){for(i=0;i<nImageWidth;i++){btValue = ciTmp.GetPixelIndex(i,j);iter = mapPalatte.find(btValue);if(iter!=mapPalatte.end()){btValue = iter->second;}dst->SetPixelIndex(i,j,btValue);}}}else{ciTmp.Threshold(128);dst->Copy(ciTmp);}}else if(nBpp==8){//对应图像调色版与标准调色版的关系map<int,int> mapPalatte;RGBQUAD szSystemPal;int k = 0;for(k=0;k<256;k++){szSystemPal.rgbBlue = k;szSystemPal.rgbGreen = k;szSystemPal.rgbRed = k;szSystemPal.rgbReserved = 0;}int m = 0;for(k=0;k<256;k++){for(m=0;m<m_nPalatteCount;m++){if(m_pPal.rgbBlue==szSystemPal.rgbBlue && m_pPal.rgbGreen==szSystemPal.rgbGreen && m_pPal.rgbRed==szSystemPal.rgbRed){mapPalatte.insert(make_pair(k,m));break;}}}//////////////////////////////////////////////////////////////////////////byte btValue = 0;map<int,int>::iterator iter;long nImageWidth = 0;long nImageHeight = 0;if(ciTmp.GetBpp()!=8){ciTmp.GrayScale();}if(m_nPalatteCount==8) //表示原始的图象为灰度图象{dst->SetPalette(m_pPal,m_nPalatteCount);btValue = 0;nImageWidth = ciTmp.GetWidth();nImageHeight = ciTmp.GetHeight();for(j=0;j<nImageHeight;j++){for(i=0;i<nImageWidth;i++){btValue = ciTmp.GetPixelIndex(i,j);iter = mapPalatte.find(btValue);if(iter!=mapPalatte.end()){btValue = iter->second;}dst->SetPixelIndex(i,j,btValue);}}}else{dst->Copy(ciTmp);}}else{if(ciTmp.GetBpp()==24){dst->Copy(ciTmp);}else{byte btValue = 0;COLORREF clValue;map<int,int>::iterator iter;long nImageWidth = 0;long nImageHeight = 0;bRet = ciTmp.IncreaseBpp(24);dst->Copy(ciTmp);}}}return bRet;}//图象格式转换bool OpenCV2CXimage::CxImageFormatConvert(CxImage *src,CxImage *dst,long imagetype){bool bRet = true;if(src==NULL || dst==NULL){return false;}if(!(imagetype>0 && imagetype<=19)){return false;}if(src->GetType()==imagetype){dst->Copy(*src);}else{dst->Create(src->GetWidth(),src->GetHeight(),src->GetBpp(),imagetype);src->SetType(imagetype);dst->Copy(*src);}return true;}
注：CxImage是一款优秀的图像操作类库。它可以快捷地存取、显示、转换各种图像。
下载地址:http://www.codeproject.com/KB/graphics/cximage.aspx
页:
[1]