![]() ![]() ![]() The images from both classes are in following links: The other class, class B is usually very chaotic and the edges on such image are definitely less curvy, they are often winding and usually don't have any kind of "center of attention". I would also like to retain the information of how close the image is to class A or to class B, because this classification does not seem to be simply a binary problem - sometimes the images is a mixture of class A and B.Ĭlass A can be roughly determined by existence of curvy/smooth edges, similar to arches or parts of elliptic structures, which often are oriented into some kind of center (like in a tunnel). I am working on a project in OpenCV in C++ and I am trying to classify a small image (a frame from a video) containing many edges into two groups. ![]()
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