I would like to implement edge detectors for creating a feature vector for archeological signs. Which are best features, algorithms to retrieve? That could be loaded in a Support vector machine for classification.
If there are in the image only signs with a uniform background it's better converting an image in a binary image and calculate convexHull, solidity, eccentricity, elongation of the archeological signs. Then, what i do? I insert these data in a vector and put every vector of every image in a Support Vector Machine for training?
How can i measure "distance", similarities among images?