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.