Artificial Fish Algorithm And The Hough Transform Fusion Research&Application

Artificial fish algorithm is a kind of swarm intelligence optimization algorithm based on animal behavior,from the study of fish behavior has the self-organization and highly parallel,adaptive and collaborative features,but also can effectively overcome the local optimal value,obtain the global optimal value.But there is also the precision is not high,the problem such as slow convergence speed.This article first introduces several species of intelligent algorithm,further introduced between them were of the opposite sex,secondly system artificial fish algorithm are analyzed.Design in detail the basic principle and the structure of the artificial fish algorithm,the effect of parameters on the algorithm convergence is discussed.In order to apply artificial fish algorithm is more effective in image processing,in view of the insufficiency in the algorithm,combined with Hough transform,numerical experiments proved the feasibility and effectiveness of the improved algorithm.Finally the application of the artificial fish algorithm of the improved on the image segmentation in image processing,the corresponding experimental results prove that the improved artificial fish algorithm in image processing and analysis has good feasibility.