/**
* Function for thinning the given binary image
*
* @param im Binary image with range = 0-255
*/
void thinningGuoHall(cv::Mat& im)
{
im /= 255;
cv::Mat prev = cv::Mat::zeros(im.size(), CV_8UC1);
cv::Mat diff;
do {
thinningGuoHallIteration(im, 0);
thinningGuoHallIteration(im, 1);
cv::absdiff(im, prev, diff);
im.copyTo(prev);
}
while (cv::countNonZero(diff) > 0);
im *= 255;
}
/**
* Function for thinning the given binary image
*
* @param im Binary image with range = 0-255
* @param useGuoHall Use Guo-Hall or Zhang-Suen algorithm
*/
void thinning(cv::Mat& im, bool useGuoHall = false)
{
im /= 255;
if (useGuoHall)
{
cv::Mat diff;
cv::Mat prev = cv::Mat::zeros(im.size(), CV_8UC1);
do {
thinningGuoHallIteration(im, 0);
thinningGuoHallIteration(im, 1);
cv::absdiff(im, prev, diff);
im.copyTo(prev);
} while (cv::countNonZero(diff) > 0);
}
else
{
cv::Mat marker = cv::Mat::ones(im.size(), CV_8UC1);
while (thinningIteration(im, marker) > 0);
}
im *= 255;
}