The maximum fuzzy entropy algorithm is one of the effective methods of image segmentation, researchers often combine maximum fuzzy entropy and genetic algorithm (GA), but the algorithms have the defects of complexity encoding and unstable search, etc. To improve the algorithms, artificial fish school algorithm (AFSA) is introduced to more rapid optimization of maximum fuzzy entropy, this paper proposes a novel maximum fuzzy entropy image segmentation algorithm based on AFSA (AFSA-based MFEISA). Firstly, the histogram of the image and the probability of each gray level are counted up, and then ...
