Title :
Unsupervised image change detection means based on 2-D entropy
Author :
Sun, Wenbang ; Chen, Hexin ; Tang, Haiyan ; Liu, Yu
Author_Institution :
New Communication Technique Key Laboratory, Jilin University, Changchun China
Abstract :
In this paper, a novel image change detection means based on 2-D histogram formed by pixel gray levels and the local average gray levels is proposed. First, the 2-D histogram is segmented by a line passing through the diagonal of 2-D histogram in a certain direction. Second, the improved 2-D entropy is defined to acquire the optimal segmentation direction and the optimal threshold. And the 2-D histogram is segmented into unchanged region and change region. Then the change area is detected based on the change region of 2-D histogram. Finally, the change detection means is compared to traditional means Theoretical analysis and experiment result show that this algorithm is more accurate on detection precision and faster on detection speed.
Keywords :
Entropy; Equations; Histograms; Image edge detection; Image segmentation; Noise; Pixel; 2-D entropy; 2-D histogram; Change detection;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691145