Paper:
Language: English:

Image Thresholding Computation Using Atanassov's Intuitionistic Fuzzy Sets

H. Bustince, E. Barrenechea, M. Pagola, and R. Orduna

Departamento de Automática y Computación, Universidad Pública de Navarra, Campus de Arrosadía, s/n, 31006 Pamplona, Navarra, Spain

Received: February 15, 2006

Accepted: November 17, 2006

Keywords: A-IFSs, Atanassov's intuitionistic fuzzy entropy (IE), thresholding, image segmentation, restricted dissimilarity functions

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.2 pp. 187-194, 2007

Abstract

In this paper, a new thresholding technique using Atanassov's intuitionistic fuzzy sets (A-IFSs) and restricted dissimilarity functions is introduced. In recent years, various thresholding techniques based on fuzzy set theory have been introduced to overcome the problem of non-uniform illumination and inherent image vagueness. In this paper we analyze this task and propose a new method for handling the grayness ambiguity and vagueness during the process of threshold selection.

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