SAR Image Thresholding Based on 2-D Fuzzy Tsallis Entropy and Chaotic Particle Swarm Optimization

摘要：

Aiming at the problem that thresholding based on onedimensional(l-D) histogram is sensitive to noise and cant reflect spatial information of synthetic aperture radar(SAR) images,a maximum fuzzy Tsallis entropy thresholding method based on two-dimensional (2-D) histogram is proposed. This method considers the spatial information of SAR images and new membership functions are applied. Furthermore,the formula for maximum fuzzy Tsallis entropy thresholding based on 2-D histogram is derived. In view of the shortage that the amount of computation of 2-D maximum fuzzy Tsallis entropy thresholding is large,the optimal thresholds are obtained by chaotic particle swarm optimization (CPSO). The experimental results show that this method has advantages in respect of segmentation results and running time.

关键词： SAR image segmentation threshold selection Tsallis entropy chaotic particle swarm optimization

作者: Hao Yabing Wu Yiquan Wu Shihua Zhang Yufei Song Yu Ji Yang

作者单位: College of Electronic and Information Engineering,Nanjing University of Aeronautics andAstronautics, College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics College of Electronic and InformationEngineering,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: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 1704-1708

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）