Fuzzy thresholding of color images using dempster-shafer theory

Fatih  Kurugollu; Ali Roula; A. Bouridane

doi:10.1109/ISSPA.2007.4555409

Fuzzy thresholding of color images using dempster-shafer theory

Fatih Kurugollu, Ali Roula, A. Bouridane

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper is concerned with the development of a novel color image thresholding technique using fuzzy thresholding and Dempster-Shaferpsilas theory based fusion. The color bands of a given image are fuzzified by means of a fuzzy thresholding technique which uses an S-shape membership function and a linear index of fuzziness based fuzzy measure. The resulting fuzzy maps are used to determine the mass functions of the hypotheses representing the classes for each pixel. These hypotheses are then combined using the orthogonal sum rule of the Dempster-Shafer theory to compute the final threshold map. The results show that the proposed algorithm yields a superior performance to its counterpart methods which are based on crisp and fuzzy techniques.

Original language	English
Title of host publication	IEEE International Symposium on Signal Processing and Its Applications
Subtitle of host publication	9th IEEE International Symposium on Signal Processing and Its Applications, 2007
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-4
Number of pages	4
DOIs	https://doi.org/10.1109/ISSPA.2007.4555409
Publication status	Published - 2007

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Kurugollu, F., Roula, A., & Bouridane, A. (2007). Fuzzy thresholding of color images using dempster-shafer theory. In IEEE International Symposium on Signal Processing and Its Applications: 9th IEEE International Symposium on Signal Processing and Its Applications, 2007 (pp. 1-4). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISSPA.2007.4555409

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abstract = "This paper is concerned with the development of a novel color image thresholding technique using fuzzy thresholding and Dempster-Shaferpsilas theory based fusion. The color bands of a given image are fuzzified by means of a fuzzy thresholding technique which uses an S-shape membership function and a linear index of fuzziness based fuzzy measure. The resulting fuzzy maps are used to determine the mass functions of the hypotheses representing the classes for each pixel. These hypotheses are then combined using the orthogonal sum rule of the Dempster-Shafer theory to compute the final threshold map. The results show that the proposed algorithm yields a superior performance to its counterpart methods which are based on crisp and fuzzy techniques.",

author = "Fatih Kurugollu and Ali Roula and A. Bouridane",

year = "2007",

doi = "10.1109/ISSPA.2007.4555409",

language = "English",

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booktitle = "IEEE International Symposium on Signal Processing and Its Applications",

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Kurugollu, F, Roula, A & Bouridane, A 2007, Fuzzy thresholding of color images using dempster-shafer theory. in IEEE International Symposium on Signal Processing and Its Applications: 9th IEEE International Symposium on Signal Processing and Its Applications, 2007 . Institute of Electrical and Electronics Engineers, pp. 1-4. https://doi.org/10.1109/ISSPA.2007.4555409

Fuzzy thresholding of color images using dempster-shafer theory. / Kurugollu, Fatih; Roula, Ali; Bouridane, A.
IEEE International Symposium on Signal Processing and Its Applications: 9th IEEE International Symposium on Signal Processing and Its Applications, 2007 . Institute of Electrical and Electronics Engineers, 2007. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Roula, Ali

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Fuzzy thresholding of color images using dempster-shafer theory

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