Abstract：Thresholding is an important form of image segmentation and is used in the image processing for many applications. In this paper, an automatic technique for thresholding of digital images based on the maximum correlation criterion is presented. This method maximizes the correlations associated with the distributions of the background and object classes to obtain the optimal threshold. It is found that the proposed approach is more effective than that proposed by Yen, and its computational complexity is much lower compared with the methods of entropy.
周德龙; 朱立明; 潘泉; 张洪才; 戴冠中. 基于最大相关准则的阈值处理算法[J]. 电子与信息学报, 2002, 24(1): 136-139 .
Zhou Delong①; Zhu Liming②; Pan Quan①; Zhang Hongcai①; Dai Guanzhong①. Thresholding of digital images based on the maximum correlation criterion. , 2002, 24(1): 136-139 .
2002, Vol. 24 
