Halcon与opencv格式的转换


IplImage* ImageProcess::HImageToIplImage(Hobject &Hobj) { IplImage* pImage; HTuple htChannels; char cType[MAX_STRING]; Hlong width,height; width=height=0; //转换图像格式 convert_image_type(Hobj,&Hobj,"byte"); count_channels(Hobj,&htChannels); if(htChannels[0].I()==1) { unsigned char* ptr; get_image_pointer1(Hobj,(Hlong*)&ptr,cType,&width,&height); pImage=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1); for(int i=0;i<height;i++) { memcpy(pImage->imageData+pImage->widthStep*i,ptr+width*i,width); } } if(htChannels[0].I()==3) { unsigned char *ptrRed , *ptrGreen , *ptrBlue; ptrRed=ptrGreen=ptrBlue=NULL; get_image_pointer3(Hobj,(Hlong*)&ptrRed,(Hlong*)&ptrGreen,(Hlong*)&ptrBlue,cType,&width,&height); IplImage *pImageRed , *pImageGreen , *pImageBlue ; pImage=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,3); pImageRed=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1); pImageGreen=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1); pImageBlue=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1); for(int i=0;i<height;i++) { memcpy(pImageRed->imageData+pImageRed->widthStep*i , ptrRed+width*i , width); memcpy(pImageGreen->imageData+pImageGreen->widthStep*i , ptrGreen+width*i , width); memcpy(pImageBlue->imageData+pImageBlue->widthStep*i , ptrBlue+width*i , width); } cvMerge(pImageBlue,pImageGreen,pImageRed,NULL,pImage); cvReleaseImage(&pImageRed); cvReleaseImage(&pImageGreen); cvReleaseImage(&pImageBlue); } return pImage; } Hobject ImageProcess::IplImageToHImage(IplImage* pImage) { Hobject Hobj; if(pImage->nChannels==1) { int height=pImage->height; int width=pImage->width; uchar *dataGray=new uchar[width*height]; for(int i=0; i<height; i++) { memcpy(dataGray+width*i, pImage->imageData+pImage->widthStep*i,width); } gen_image1(&Hobj,"byte",pImage->width,pImage->height,(Hlong)(dataGray)); delete[ ] dataGray; } if(pImage->nChannels==3) { IplImage *pImageRed, *pImageGreen, *pImageBlue; pImageRed=cvCreateImage(cvGetSize(pImage),IPL_DEPTH_8U,1); pImageGreen=cvCreateImage(cvGetSize(pImage),IPL_DEPTH_8U,1); pImageBlue=cvCreateImage(cvGetSize(pImage),IPL_DEPTH_8U,1); cvSplit(pImage, pImageBlue, pImageGreen, pImageRed,NULL); uchar* dataRed=new uchar[pImage->width*pImage->height]; uchar* dataGreen=new uchar[pImage->width*pImage->height]; uchar* dataBlue=new uchar[pImage->width*pImage->height]; int height=pImage->height; int width=pImage->width; for(int i=0; i<height; i++) { memcpy(dataRed+width*i, pImageRed->imageData+pImageRed->widthStep*i,width); memcpy(dataGreen+width*i, pImageGreen->imageData+pImageGreen->widthStep*i,width); memcpy(dataBlue+width*i, pImageBlue->imageData+pImageBlue->widthStep*i,width); } gen_image3(&Hobj,"byte",pImage->width,pImage->height,(Hlong)(dataRed),(Hlong)(dataGreen),(Hlong)(dataBlue)); cvReleaseImage(&pImageRed); cvReleaseImage(&pImageGreen); cvReleaseImage(&pImageBlue); delete[ ] dataRed; delete[ ] dataGreen; delete[ ] dataBlue; } return Hobj; }

  主要包括这两个函数

IplImage* HImageToIplImage(Halcon::Hobject &Hobj);
Hobject IplImageToHImage(IplImage* pImage);

原文地址:https://www.cnblogs.com/love6tao/p/5476799.html