An Image Edge Detection Algorithm Based on Local Entropy

Abstract

A new algorithm of detecting image edge based on local entropy is proposed. It is analyzed that the smaller the local entropy is, the bigger the dispersion is. So the point with big local entropy is considered as a edge pixel, which can be detected by computing the local entropy of pixel and its eight neighbor pixel. Simulation shows that this algorithm has a higher precision because of having better anti-noise ability.