%0 Journal Article %A LI Jiaqi %A LI Zhonghua %A WANG Xiaopu %T An Efficient Approach to Detect Changed Regions in the Image %D 2020 %R 10.3969/j.issn.1001-4268.2020.03.006 %J CHINESE JOURNAL OF APPLIED PROBABILITY AND STATISTICS %P 295-320 %V 36 %N 3 %X

In this paper, we propose a novel and efficient method for detecting distribution changes in a picture. We design an approach based on the parametric change-points detection problem and apply it into region detection problem. The number of change-points is determined by the Schwartz information criterion and the location of the change-points is estimated via a modified pruned exact linear time algorithm. Furthermore, we propose a new merging method to merge the regions in the same distribution after finishing the estimation of change-points. Under some mild conditions, we prove our estimation of change-points and regions is consistent. In the simulation studies, the new method performs well in both estimation and computation time compared to other method.

%U http://aps.ecnu.edu.cn/EN/10.3969/j.issn.1001-4268.2020.03.006