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[]; /* Ignored by OpenCV */
char channelSeq[]; /* 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[]; /* Ignored by OpenCV. */
int BorderConst[]; /* 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, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
bColor = false;
break;
case PIXEL_FORMAT_411YUV8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_422YUV8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_444YUV8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_RGB8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_MONO16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_16U;
cvImage->nChannels = ;
bColor = false;
break;
case PIXEL_FORMAT_RGB16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_16U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_S_MONO16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_16U;
cvImage->nChannels = ;
bColor = false;
break;
case PIXEL_FORMAT_S_RGB16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_16U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_RAW8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_RAW16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
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, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_BGRU: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_RGBU: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
default: printf("Some error occured...\n");
return NULL;
} if(bColor) {
if(!bInitialized)
{
colorImage.SetData(new unsigned char[pImage->GetCols() * pImage->GetRows()*], pImage->GetCols() * pImage->GetRows()*);
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 = ; //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 == ) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_MONO8, btf);
if (cvImage->nChannels == ) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_RGB8, btf);
if (cvImage->nChannels == ) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_BGRU, btf);
} else if (cvImage->depth == IPL_DEPTH_16U) {
if (cvImage->nChannels == ) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_MONO16, btf);
if (cvImage->nChannels == ) 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;
}