DocumentCode :
1932409
Title :
Intuitionistic type-2 fuzzy set approach to image thresholding
Author :
Tarn Van Nghiem ; Dzung Dinh Nguyen ; Long Thanh Ngo
Author_Institution :
Dept. of Inf. Syst., Le Quy Don Tech. Univ., Hanoi, Vietnam
fYear :
2013
fDate :
15-18 Dec. 2013
Firstpage :
207
Lastpage :
212
Abstract :
In this paper, an image thresholding method based on Intuitionistic Type-2 Fuzzy Sets (InT2FS) method is introduced for the segmentation problems. Besides, intuitionistic type-2 fuzzy set has been formed as an extension of intuitionistic fuzzy set for handling uncertainty. As we know, the image data which usually contains noises or uncertainty so then utilizing the advantages of the InT2FS, we have introduced a thresholding algorithm using InT2FS for image thresholding. Experimental results with different types of images show that the proposed algorithm is better than the traditional thresholding algorithms especially with noisy images.
Keywords :
fuzzy set theory; image segmentation; uncertainty handling; InT2FS; image data; image segmentation problems; image thresholding method; intuitionistic type-2 fuzzy set approach; noisy images; uncertainty handling; Entropy; Fuzzy sets; Gray-scale; Image segmentation; Indexes; Pattern recognition; Uncertainty; Image thresholding; Intuitionistic fuzzy set; intuitiuonistic type-2 fuzzy set; type-2 fuzzy set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2013 International Conference of
Conference_Location :
Hanoi
Print_ISBN :
978-1-4799-3399-0
Type :
conf
DOI :
10.1109/SOCPAR.2013.7054128
Filename :
7054128
Link To Document :
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