IplImage* imageClassifier::getRegionImg(IplImage *src, int x, int y)
{
// input: binary image, IplImage, (recommend 8 bit depth and 1 channel)
// a coordinate which is contained in region you want to get, int
// return: region image, IplImage, binary image
// or 0 if coordinate is invalid (out of iamge size or there are no region)
//
// Take binary image, classify sorce image's white regions separated by black pixels,
// and return the region which contain pixel (x, y).
IplImage *tmp;
// set WHITE and LABEL_MAX (need to automate lator)
WHITE = 255;
LABEL_MAX = 254;
// clone image src to tmp
tmp = cvCloneImage(src);
// convert tmp to binary image (for safety)
cvThreshold(tmp, tmp, WHITE/2, WHITE, CV_THRESH_BINARY);
// classify
classify(tmp);
// release
cvReleaseImage(&tmp);
// get region
return getRegionByCoordinate(x, y);
}
IplImage* imageClassifier::getRegionImg(IplImage *src, int x, int y)
{
IplImage *tmp;
// set WHITE and LABEL_MAX (need to automate lator)
WHITE = 255;
LABEL_MAX = 254;
// clone image src to tmp
tmp = cvCloneImage(src);
// convert tmp to binary image (for safety)
cvThreshold(tmp, tmp, WHITE/2, WHITE, CV_THRESH_BINARY);
// classify
classify(tmp);
// release
cvReleaseImage(&tmp);
// get region
return getRegionByCoordinate(x, y);
}
