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Intuitionistic type-2 fuzzy set approach to image thresholding

Van Nghiem, T. and Nguyen, D.D. and Ngo, L.T. (2013) Intuitionistic type-2 fuzzy set approach to image thresholding. In: 2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013, 15 December 2013 through 18 December 2013.

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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. © 2013 IEEE.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculties > Faculty of Information Technology
Identification Number: 10.1109/SOCPAR.2013.7054128
Uncontrolled Keywords: Algorithms; Image segmentation; Pattern recognition; Soft computing; Image data; Image thresholding; Intuitionistic fuzzy sets; Noisy image; Thresholding algorithms; Type-2 fuzzy set; Fuzzy sets
Additional Information: Conference code: 111424. Language of original document: English.
URI: http://eprints.lqdtu.edu.vn/id/eprint/10075

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