Statistical Thresholding Method for Infrared Images
红外图像统计闭值分割方法

Classic statistical thresholding methods take class variance sum of some form as criterions for threshold selection.They don't take special characteristic of practical images into account and fail to get ideal results when segmenting a kind of image having similar statistical distributions in the object and background.In order to eliminate the above limitation of classic statistical approaches,a novel statistical criterion was defined by utilizing standard deviations of two thresholded classes,and the optim...