Automatic threshold selection based on Particle Swarm Optimization algorithm
Image segmentation is a long-term difficult problem, which hasnt been fully solved. Thresholding is one of the most popular algorithms. Particle Swarm Optimization (PSO) was recently proposed algorithm, which has been successfully applied to solve many optimization problems. Based on the analysis of Otsu threshold selection can be viewed as a continuous optimization problem. Thus, a new method to select image threshold automatically based on PSO algorithm is employed in the paper. The performance of this algorithm is compared with Otsu, and experimental results show that PSO algorithm can reveal very encouraging results in terms of the quality of solution found and the processing time required.
Ye zhiwei Chen hongwei Liu wei Zhang jinping
School of Computer Science, Hubei University of Technology, Wuhan, P.R. China,430068 School of Remote Sensing and Information Engineering Wuhan University, Wuhan 430079,China
国际会议
长沙
英文
36-39
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）