An Image Thresholding Method Based on Standard Deviation
Classic statistical thresholding methods are not suitable for segmenting infrared images and fail to achieve ideal results. In this paper, a novel statistical thresholding method based on standard deviation is proposed for solving this problem. The algorithm utilizes standard deviations of two thresholded classes to define a new objective junction and determines the optimal threshold by minimizing the function. The proposed algorithm was compared with two classic statistical thresholding methods on a variety of infrared images as well as general real world images, and the experimental results show the effectiveness of the algorithm.
Zuoyong Li Chuancai Liu
Department of Computer Science Minjiang University Fuzhou, China 350108 Department of Computer Science and Technology Nanjing University of Science and Technology Nanjing,
国际会议
三亚
英文
835-838
2009-04-24（万方平台首次上网日期，不代表论文的发表时间）