An image threshold segmentation method based on multi-behaviour global artificial fish swarm algorithm
School of Physics and Electronic Information, China West Normal University, Nanchong 637002, Sichuan, China
Firstly, this paper describes how the histogram analysis method pre-processes the images to be segmented. Then is makes a detailed analysis of the working principles and behaviour pattern of basic artificial fish swarm algorithm (AFSA); dissects the defects of AFSA in principle and proposes an improved AFSA with global convergence. Finally, it presents the main steps of image threshold segmentation method based on AFSA; compares the performances of AFSA with those of other intelligent algorithms and proves that this improved AFSA makes all-around improvements on image segmentation.