Title :
A Two-Dimensional Image Thresholding Method Based on Multiobjective Optimization
Author :
Zhang, Xinming ; Liu, Chunhong
Author_Institution :
Coll. of Comput. & Inf. Technol., Henan Normal Univ., Xinxiang, China
Abstract :
The segmentation method based on the optimization of only one criterion does not work well for a lot of images; even when equipped with the optimal value of the threshold of its single criterion, the segmentation program does not produce a satisfactory result. In this paper, image segmentation based on multiobjective optimization is presented. It combines 2-D maximum entropy and 2-D Otsu method using multiobjective programming theory so that optimal threshold value can not only satisfy the former but also meet the latter. Experimental results show the proposed approach can get competitive segmentation result.
Keywords :
entropy; image segmentation; optimisation; 2-D Otsu method; 2-D maximum entropy; image segmentation; multiobjective optimization; multiobjective programming theory; two-dimensional image thresholding; Educational institutions; Educational technology; Electronic mail; Entropy; Histograms; Image segmentation; Information technology; Optimization methods; Performance analysis; Research and development;
Conference_Titel :
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5272-9
DOI :
10.1109/CNMT.2009.5374520
