Hello, I am new opencv.
I have several images which consist of blobs in them. Every image has spherical or ellipse or nearly perfect circles in them. There are around 200 files. I want to check every file and see if the image is a nearly perfect circle (with maybe +-5% error margin, or close to 2pi*radius)?
I read most of the posts, Hough Transform detects circles however it doesn't detect anything in my images as they are perfect circles. So how could I find the best fitting circle based on provided threshold or circularity I can separate them out from the ones which meet my requirement.
Also is it possible to use one as a reference and to compare with others and do matching?
Type 1: Multiple blobs
Type 2: Only one blob
