本文主要是介绍Halcon Image与OpenCV IplImage图像数据相互转换，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
这里贴出我用的两个函数，用于IplImage 与 Hobject 之间的相互转换，他们的数据类型分别是IPL_DEPTH_8U和'byte'在Halcon中，图像数据是一个通道(channel)一个通道保持的，而在OpenCV中多个通道的数据分别在各个像素中。
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | Hobject IplImageToHImage(IplImage *pImage) { Hobject Hobj; if (3 == pImage->nChannels) { 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; } if (1 == pImage->nChannels) { 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; } return Hobj; } IplImage* 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; } |
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