Polymorphisms single template masking for edge detection based on clustering algorithm
基于聚类算法的多态单模板掩模边缘检测算法

A polymorphisms single template masking for edge detection algorithm based on clustering was proposed, which could dynamically estimate the edge location of the neighborhood. The algorithm would set the weight parameters on the template by evaluating the position of the possible edge, which would give a more precise result. It made it possible to reduce the noise but keep a higher resolution by debarring the fake edge according to its continuity. Experimental results prove the effectiveness of this algorithm.