OpenCV IplImage FlyCapture2 Image Conversion 两种图像类的相互转化
OpenCV的IplImag和 FlyCapture2 的 Image是两种常见的图片格式，在实际的应用中，我们通常要混合使用OpenCV和FlyCapture2这两个SDK，所以这两种图片格式之间的相互转换就是经常需要做的。
首先分别来看看两种图片类的定义：
IplImage:
typedef struct _IplImage { int nSize; /* sizeof(IplImage) */ int ID; /* version (=0)*/ int nChannels; /* Most of OpenCV functions support 1,2,3 or 4 channels */ int alphaChannel; /* Ignored by OpenCV */ int depth; /* Pixel depth in bits: IPL_DEPTH_8U, IPL_DEPTH_8S, IPL_DEPTH_16S, IPL_DEPTH_32S, IPL_DEPTH_32F and IPL_DEPTH_64F are supported. */ char colorModel[4]; /* Ignored by OpenCV */ char channelSeq[4]; /* ditto */ int dataOrder; /* 0 - interleaved color channels, 1 - separate color channels. cvCreateImage can only create interleaved images */ int origin; /* 0 - top-left origin, 1 - bottom-left origin (Windows bitmaps style). */ int align; /* Alignment of image rows (4 or 8). OpenCV ignores it and uses widthStep instead. */ int width; /* Image width in pixels. */ int height; /* Image height in pixels. */ struct _IplROI *roi; /* Image ROI. If NULL, the whole image is selected. */ struct _IplImage *maskROI; /* Must be NULL. */ void *imageId; /* " " */ struct _IplTileInfo *tileInfo; /* " " */ int imageSize; /* Image data size in bytes (==image->height*image->widthStep in case of interleaved data)*/ char *imageData; /* Pointer to aligned image data. */ int widthStep; /* Size of aligned image row in bytes. */ int BorderMode[4]; /* Ignored by OpenCV. */ int BorderConst[4]; /* Ditto. */ char *imageDataOrigin; /* Pointer to very origin of image data (not necessarily aligned) - needed for correct deallocation */ } IplImage;
Image:
/** * Construct an Image object with the specified arguments. * Ownership of the image buffer is not transferred to the Image object. * It is the user's responsibility to delete the buffer when it is * no longer in use. * * @param rows Rows in the image. * @param cols Columns in the image. * @param stride Stride of the image buffer. * @param pData Pointer to the image buffer. * @param dataSize Size of the image buffer. * @param format Pixel format. * @param bayerFormat Format of the Bayer tiled raw image. */ Image( unsigned int rows, unsigned int cols, unsigned int stride, unsigned char* pData, unsigned int dataSize, PixelFormat format, BayerTileFormat bayerFormat = NONE );
下面我们来进行相互转换：
1. FlyCapture2 Image to OpenCV IplImage
IplImage* ConvertImageToOpenCV(Image* pImage) { IplImage* cvImage = NULL; bool bColor = true; CvSize mySize; mySize.height = pImage->GetRows(); mySize.width = pImage->GetCols(); bool bInitialized = false; Image colorImage; switch ( pImage->GetPixelFormat() ) { case PIXEL_FORMAT_MONO8: cvImage = cvCreateImageHeader(mySize, 8, 1 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 1; bColor = false; break; case PIXEL_FORMAT_411YUV8: cvImage = cvCreateImageHeader(mySize, 8, 3 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 3; break; case PIXEL_FORMAT_422YUV8: cvImage = cvCreateImageHeader(mySize, 8, 3 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 3; break; case PIXEL_FORMAT_444YUV8: cvImage = cvCreateImageHeader(mySize, 8, 3 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 3; break; case PIXEL_FORMAT_RGB8: cvImage = cvCreateImageHeader(mySize, 8, 3 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 3; break; case PIXEL_FORMAT_MONO16: cvImage = cvCreateImageHeader(mySize, 16, 1 ); cvImage->depth = IPL_DEPTH_16U; cvImage->nChannels = 1; bColor = false; break; case PIXEL_FORMAT_RGB16: cvImage = cvCreateImageHeader(mySize, 16, 3 ); cvImage->depth = IPL_DEPTH_16U; cvImage->nChannels = 3; break; case PIXEL_FORMAT_S_MONO16: cvImage = cvCreateImageHeader(mySize, 16, 1 ); cvImage->depth = IPL_DEPTH_16U; cvImage->nChannels = 1; bColor = false; break; case PIXEL_FORMAT_S_RGB16: cvImage = cvCreateImageHeader(mySize, 16, 3 ); cvImage->depth = IPL_DEPTH_16U; cvImage->nChannels = 3; break; case PIXEL_FORMAT_RAW8: cvImage = cvCreateImageHeader(mySize, 8, 3 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 3; break; case PIXEL_FORMAT_RAW16: cvImage = cvCreateImageHeader(mySize, 8, 3 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 3; break; case PIXEL_FORMAT_MONO12: printf("Not supported by OpenCV"); bColor = false; break; case PIXEL_FORMAT_RAW12: printf("Not supported by OpenCV"); break; case PIXEL_FORMAT_BGR: cvImage = cvCreateImageHeader(mySize, 8, 3 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 3; break; case PIXEL_FORMAT_BGRU: cvImage = cvCreateImageHeader(mySize, 8, 4 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 4; break; case PIXEL_FORMAT_RGBU: cvImage = cvCreateImageHeader(mySize, 8, 4 ); cvImage->depth = IPL_DEPTH_8U; cvImage->nChannels = 4; break; default: printf("Some error occured...\n"); return NULL; } if(bColor) { if(!bInitialized) { colorImage.SetData(new unsigned char[pImage->GetCols() * pImage->GetRows()*3], pImage->GetCols() * pImage->GetRows()*3); bInitialized = true; } pImage->Convert(PIXEL_FORMAT_BGR, &colorImage); //needs to be as BGR to be saved cvImage->width = colorImage.GetCols(); cvImage->height = colorImage.GetRows(); cvImage->widthStep = colorImage.GetStride(); cvImage->origin = 0; //interleaved color channels cvImage->imageDataOrigin = (char*)colorImage.GetData(); //DataOrigin and Data same pointer, no ROI cvImage->imageData = (char*)(colorImage.GetData()); cvImage->widthStep = colorImage.GetStride(); cvImage->nSize = sizeof (IplImage); cvImage->imageSize = cvImage->height * cvImage->widthStep; } else { cvImage->imageDataOrigin = (char*)(pImage->GetData()); cvImage->imageData = (char*)(pImage->GetData()); cvImage->widthStep = pImage->GetStride(); cvImage->nSize = sizeof (IplImage); cvImage->imageSize = cvImage->height * cvImage->widthStep; //at this point cvImage contains a valid IplImage } return cvImage; }
2. OpenCV IplImage to FlyCapture2 Image
/** * Convert OpenCV IplImage to FlyCapture2 Image type */ Image* ConvertIplImageToImage(IplImage* cvImage) { Image* pImage = new Image(); Error error; BayerTileFormat btf = GBRG; if (cvImage->depth == IPL_DEPTH_8U) { if (cvImage->nChannels == 1) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_MONO8, btf); if (cvImage->nChannels == 3) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_RGB8, btf); if (cvImage->nChannels == 4) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_BGRU, btf); } else if (cvImage->depth == IPL_DEPTH_16U) { if (cvImage->nChannels == 1) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_MONO16, btf); if (cvImage->nChannels == 3) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_RGB16, btf); } else error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, UNSPECIFIED_PIXEL_FORMAT, btf); if (error != PGRERROR_OK) { error.PrintErrorTrace(); return NULL; } error = pImage->SetData((const unsigned char*)cvImage->imageData, cvImage->imageSize); if (error != PGRERROR_OK) { error.PrintErrorTrace(); return NULL; } return pImage; }
