Using neural networks to detect dominant points in Chain-coded contours

摘要

A novel approach for dominant point detection in chain-coded contours is presented. Classical operations, such as computing a measurement of the curvature from the (x, y) Co-ordinates of the contour points, finding curvature maxima, etc., are substituted by a Neural network that traverses the contour, and gives a measurement of the relevance of Every point. Further and straight-forward processing of the network output provides the Dominant points. Two translations of the Freeman chain-code are presented, that easily Provide the network input from the chain link values.