Multilevel Maximum Entropy Threshold Selection Based on Quantum Particle Swarm Optimization

摘要：

The maximum entropy threshold has been proven as an efficient method in image segmentation for bilevel thresholding.However,this method becomes verv timeconsuming when extended to multilevel threshold problem.To solve the problem,a multilevel maximum entropv threshold method based on quantum particle swarm optimization is proposed.The experimental results demonstrate the success of the proposed image thresholding method,as compared with ES-Kapur method and GA-Kapur method.

关键词： multilevel maximum entropy quantum particle swarm optimization

作者: Yong Zhao Yong-Biao Hu

作者单位: Key Laboratory of Highway Construction Technology and F.quipment of Ministry of Education School of Engineering Machinery Changan University Xian Shaanxi,China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information and Financial Engineering(2010年第二届IEEE信息与金融工程国际会议 ICIFE 2010)

会议地点: 重庆

会议语种:英文

页码: 41-44

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）