Multi-thresholding Based on Symmetric Tsallis-cross Entropy and Particle Swarm Optimization

摘要：

　　Multi-thresholding is an important step for automatic image analysis.In this paper,a multi-thresholding method based on symmetric Tsallis-cross entropy and uniform searching particle swarm optimization (UPSO) is proposed.The criterion function using symmetric Tsallis-cross entropy can make the grayscale within the background cluster and the object cluster uniform.Since the exhaustive multi-thresholding algorithm would be too time-consuming,UPSO algorithm is adopted to find the optimal thresholds quickly and accurately.A large number of experimental results show that,compared with related multi-thresholding methods based on Shannon entropy and Tsallis entropy,the proposed method is effective and rapid.It can obtain more accurate boundary shape and clearer details of object.

关键词： image segmentation multi-thresholding symmetric Tsallis-cross entropy uniform searching particle swarm optimization

作者: Jun Yin Yiquan Wu Li Zhu

作者单位: College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 647-651

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）