This function of drawItem is called multiple times through a loop, I'm facing a memory leak issue everytime it is called. I'm thinking that the problem is due to the resizeImage() function, but I can't seem to pinpoint the problem, this is C++\CLI with OpenCV library.
drawItem()
{
imgItem = resizeImage(imgItem, newItemWidth, newItemHeight, false);
imgMask = resizeImage(imgMask, newItemWidth, newItemHeight, false);
cvSetImageROI(image3, cvRect(x1,y1,newItemWidth, newItemHeight));
cvCopy(imgItem, image3, imgMask);
cvResetImageROI(image3);
cvReleaseImage( &imgItem );
cvReleaseImage( &imgMask );
}
IplImage* resizeImage(const IplImage *origImg, int newWidth, int newHeight, bool keepAspectRatio)
{
IplImage *outImg = 0;
int origWidth;
int origHeight;
if (origImg) {
origWidth = origImg->width;
origHeight = origImg->height;
}
if (newWidth <= 0 || newHeight <= 0 || origImg == 0
|| origWidth <= 0 || origHeight <= 0) {
//cerr << "ERROR: Bad desired image size of " << newWidth
// << "x" << newHeight << " in resizeImage().\n";
exit(1);
}
if (keepAspectRatio) {
// Resize the image without changing its aspect ratio,
// by cropping off the edges and enlarging the middle section.
CvRect r;
// input aspect ratio
float origAspect = (origWidth / (float)origHeight);
// output aspect ratio
float newAspect = (newWidth / (float)newHeight);
// crop width to be origHeight * newAspect
if (origAspect > newAspect) {
int tw = (origHeight * newWidth) / newHeight;
r = cvRect((origWidth - tw)/2, 0, tw, origHeight);
}
else { // crop height to be origWidth / newAspect
int th = (origWidth * newHeight) / newWidth;
r = cvRect(0, (origHeight - th)/2, origWidth, th);
}
IplImage *croppedImg = cropImage(origImg, r);
// Call this function again, with the new aspect ratio image.
// Will do a scaled image resize with the correct aspect ratio.
outImg = resizeImage(croppedImg, newWidth, newHeight, false);
cvReleaseImage( &croppedImg );
}
else {
// Scale the image to the new dimensions,
// even if the aspect ratio will be changed.
outImg = cvCreateImage(cvSize(newWidth, newHeight),
origImg->depth, origImg->nChannels);
if (newWidth > origImg->width && newHeight > origImg->height) {
// Make the image larger
cvResetImageROI((IplImage*)origImg);
// CV_INTER_LINEAR: good at enlarging.
// CV_INTER_CUBIC: good at enlarging.
cvResize(origImg, outImg, CV_INTER_LINEAR);
}
else {
// Make the image smaller
cvResetImageROI((IplImage*)origImg);
// CV_INTER_AREA: good at shrinking (decimation) only.
cvResize(origImg, outImg, CV_INTER_AREA);
}
}
return outImg;
}
IplImage* cropImage(const IplImage *img, const CvRect region)
{
IplImage *imageCropped;
CvSize size;
if (img->width <= 0 || img->height <= 0
|| region.width <= 0 || region.height <= 0) {
//cerr << "ERROR in cropImage(): invalid dimensions." << endl;
exit(1);
}
if (img->depth != IPL_DEPTH_8U) {
//cerr << "ERROR in cropImage(): image depth is not 8." << endl;
exit(1);
}
// Set the desired region of interest.
cvSetImageROI((IplImage*)img, region);
// Copy region of interest into a new iplImage and return it.
size.width = region.width;
size.height = region.height;
imageCropped = cvCreateImage(size, IPL_DEPTH_8U, img->nChannels);
cvCopy(img, imageCropped); // Copy just the region.
return imageCropped;
}