Abstract: Because PSO algorithm is occurrence of false convergence or precocious,an adaptive chaotic particle swarm optimization(ACPSO) and its application to image segmentation were proposed．First,an improved adaptive particle swarm optimization algorithm(IAPSO) was proposed．Second,the chaos optimization algorithm was joined into the IAPSO.The chaotic variable was used to initialize the position and velocity of the particles．The new Infinite Collapses chaos chaotic mutation mapping algorithm was used to choose the best part of particles from the current population chaos optimization．Finally,ACPSO algorithm was applied to image segmentation．The maximum fuzzy Shannon entropy threshold segmentation method was compared with maximum fuzzy Shannon entropy threshold segmentation method based on the basic PSO.The result indicates that the fuzzy entropy threshold image segmentation method based on the algorithm for the adaptive CPSO has better performance.

Key words: CPSO algorithm,Adaptive,Chaos-particle swarm,2D image segmentation