Minimum Standard Deviation Difference-Based Thresholding
Classic statistical thresholding methods do not consider special characteristic of practical images and fail to obtain satisfying segmentation results for some images with similar statistical distributions in the object and background. In this paper, a novel statistical thresholding method based on standard deviation difference is presented to solve this problem. The proposed method defines standard deviation difference as criterion for threshold selection, and determines the optimal threshold by minimizing it. The new method was compared with three conventional thresholding methods on a variety of infrared images and general real world images, and experimental results show its effectiveness.
Thresholding image segmentation standard deviation statistical theory
Zuoyong Li Yong Cheng Chuancai Liu Cairong Zhao
Department of Computer Science Minjiang University Fuzhou, China 350108 School of Computer Science a School of Communication Engineering Nanjing Institute of Technology Nanjing, China 211167 School of School of Computer Science and Technology Nanjing University of Science and Technology Nanjing, Chin School of Computer Science and Technology Nanjing University of Science and Technology Nanjing, Chin
国际会议
长沙
英文
1789-1792
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）