Research of Unsupervised Image Change Detection Algorithm Based on 2-D Histogram
Change detection in images of a given scene acquired at different times is one of the most interesting topics of remote image processing. In this paper, a novel image change detection algorithm is proposed based on the clustering characteristic of 2-D histogram. First, the best segmentation direction of 2-D histogram is ascertained by using Fisher criterion. Secondly, a kind of new 2-D entropy is defined to search the best threshold and segment the 2-D histogram into unchanged region and change region. Then the change area in different image is detected based on the change region of 2-D histogram. Finally, the proposed algorithm is compared to traditional algorithm. The theoretical analysis and experiment results confirm the effectiveness of the proposed means.
Change detection 2-D histogram Clustering characteristic Fisher criterion
Wenbang Sun Haiyan Tang Hexin Chen Guang Yu
School of Communication Engineering, Jilin Universit, Changchun China Aviation Information Departmen Aviation Theory Department, Aviation University of Air Force, Changchun China School of Communication Engineering, Jilin Universit, Changchun China Aviation Information Department, Aviation University of Air Force, Changchun China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
686-689
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）