One image segmentation method based on Otsu and fuzzy theory seeking image segment threshold

Author

Tang, Zhiwei ; Wu, Yixuan

Author_Institution

Lab. For Intell. Image Process., Third Res. Inst. of Minist. of Public Security, Shanghai, China

fYear

2011

fDate

9-11 Sept. 2011

Firstpage

2170

Lastpage

2173

Abstract

Based on the study of image segmentation algorithm, this paper presents one kind of improved image segmentation algorithm by comprehensive using the Otsu method and the method based on fuzzy theory seeking image segment threshold. The method uses Otsu method, obtained by pre-segmentation threshold value; then the image is divided into target and background. At last we use fuzzy partition method for final segmentation threshold. The experimental results show that the method can keep a greater degree of image detail. Especially for low SNR images and poor contrast image, there is a relatively good result.

Keywords

fuzzy set theory; image segmentation; Otsu; SNR images; background image; final segmentation threshold; fuzzy partition method; fuzzy theory seeking image segment threshold; image segmentation; poor contrast image; pre-segmentation threshold value; target image; Conferences; Electronic mail; Hidden Markov models; Image segmentation; Laboratories; Mathematical model; Image Segmentation; OTSU; fuzzy; threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Control (ICECC), 2011 International Conference on

Conference_Location

Ningbo

Print_ISBN

978-1-4577-0320-1

Type

conf

DOI

10.1109/ICECC.2011.6066573

Filename

6066573