DocumentCode :
2085583
Title :
Thresholding approaches with interval-valued fuzzy sets to image segmentation
Author :
Deng, Tingquan ; Wang, Peipei ; Mei, Yuling ; Liu, Wenjie
Author_Institution :
Coll. of Sci., Harbin Eng. Univ., Harbin, China
Volume :
1
fYear :
2008
fDate :
17-19 Nov. 2008
Firstpage :
1059
Lastpage :
1064
Abstract :
Thresholding approaches are fundamental and important techniques in image segmentation. There exist lots of integrated techniques of thresholding methods with fuzzy sets theory. The fuzzy compactness and fuzzy divergence are powerful tools in dealing with vague and imprecise data, and are widely applied to thresholding segmentation for images. This paper extends the two kinds of fuzzy measures to interval-valued fuzzy sets to eliminate uncertain assignments of membership degrees of pixels in images. Two thresholding techniques are proposed for image segmentation. The affinity characteristics of pixels in images are sufficiently considered in the new techniques. The experimental results show that the selection of initial membership functions brings little impact on thresholding segmentation of images.
Keywords :
fuzzy set theory; image segmentation; fuzzy compactness; fuzzy divergence; fuzzy sets theory; image segmentation; initial membership functions; interval-valued fuzzy sets; thresholding approaches; Educational institutions; Fuzzy set theory; Fuzzy sets; Image analysis; Image segmentation; Intelligent systems; Knowledge engineering; Pixel; Power engineering and energy; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
Type :
conf
DOI :
10.1109/ISKE.2008.4731086
Filename :
4731086
Link To Document :
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