I'm using a project using OpenCV for detecting a card that will be place on a atable. I have successfully detect it using Canny Edge. However, for different image the parameter must be tuned manually. I wish for my project to be worked with every image without manually tune the parameter. What Should I do?
The effect of the Canny operator is determined by three parameters --- the width of the Gaussian kernel used in the smoothing phase, and the upper and lower thresholds used by the tracker.
The Canny edge detector requires the user to input three parameters. The first is sigma, the standard deviation of the Gaussian filter specified in pixels. The second parameter low is the low threshold which is specified as a fraction of a computed high threshold.
Find the intensity gradients of the image. Apply non-maximum suppression to get rid of spurious response to edge detection. Apply double threshold to determine potential edges.
If your image consist of Distinct Background & Foreground, You can get the threshold for that automatically as follows explained in this paper http://www.academypublisher.com/proc/isip09/papers/isip09p109.pdf.
Mat mCanny_Gray,mThres_Gray;
Mat mSrc_Gray=imread("Test.bmp",0);
double CannyAccThresh = threshold(mSrc_Gray,mThres_Gray,0,255,CV_THRESH_BINARY|CV_THRESH_OTSU);
double CannyThresh = 0.1 * CannyAccThresh;
Canny(mSrc_Gray,mCanny_Gray,CannyThresh,CannyAccThresh);
imshow("mCanny_Gray",mCanny_Gray);
You can also refer this thread.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With