Optimal Parameter Algorithm for Image Segmentation

An improved artificial fish swarm algorithm is proposed to search the optimal parameter combination in this paper. It is concerned with fuzzy entropy definition used for image segmentation. The key problem associated with this method is to find the optimal parameter combination of membership function so that an image can be transformed into fuzzy domain with maximum fuzzy entropy. Then, we compare the improved artificial fish swarm algorithm with other artificial intelligence models. The experiment indicates that the proposed method is quite effective and ubiquitous.