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