Edge detection of images based on cloud model cellular automata
Ke Zhang, Zhang Weihua, Jinsha Yuan · 2008
In order to resolve the problems of edge detection algorithm of images based on fuzzy seasoning or cellular automata, a new improved edge detection algorithm of images based on cloud model cellular automata is presented. This method uses direction information and edge order information as edge characteristic information, uses cloud model to inference these information, then gives accurate feedback information got from inference results to direction information measure and direction edge order measure, and detects edge by automatic evolution of cellular automata. Finally, experiments are put forward, this algorithm has powerful ability in exiguous edge detection, and it is a promising and applied image processing algorithm.