Entropic Thresholding Method Based on Par ticle Swarm Optimization for Image Segmentation
Kang Shi-yu · Jisuanji fangzhen · 2010
To fully utilize gray information and spatial information of grayscale,increase the segmentation precision and the solution speed of optimal threshold,a threshold segmentation method based on PSO algorithmis is proposed.This algorithm is called PSO-SDAIVE algorithm.At first,the traditional 2D histogram is improved and the 2D D-value attribute gray histogram is created.Then,the computation of gray average and 2D entropy are improved.The improved entropy is called spatial D-value attribute information value entropy(SDAIVE).At last,simple PSO algorithm is used to solve the SDAIVE maximum.In experiment,head CT images are segmented.Experimental results show that the algorithm presented in this paper can find better solutions with little complexity.Experiment results show that this method is feasible and effective.