Square Distance Symmetric Co-occurrence Matrix Thresholding Method Based on Relative Homogeneity  

作　　者：ZHANG Hong FAN Jiulun 

机构地区：[1]Xi’an University of Posts and Telecommunications,Xi’an 710121,China [2]Automatic Sorting Technology Research Center,State Post Bureau of the People’s Republic of China,Xi’an 710121,China

出　　处：《Chinese Journal of Electronics》2020年第4期686-692,共7页电子学报（英文版）

基　　金：supported by the National Science Foundation of China(No.61571361,No.61671377)。

摘　　要：We studied a novel image thresholding method using symmetric co-occurrence matrix probability information,in which,the relative homogeneity characteristics of the segmented object and background is explored,square distance co-occurrence matrix thresholding criterion is reformed,and the relative criterion of square distance symmetric co-occurrence matrix is proposed.The new thresholding method applies the spatial information of image and takes the relative information between classes into account.The experimental results show that,comparing with the existing correlation methods,the proposed method can extract the object more integrity,and reserve the edge more clearly.

关 键 词：Image thresholding Symmetric Cooccurrence Matrix Square distance Relative homogeneity 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]