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

fYear

2009

fDate

18-20 Jan. 2009

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5272-9

Type

conf

DOI

10.1109/CNMT.2009.5374520

Filename

5374520