JACIII Vol.11 No.2 pp. 187-194
doi: 10.20965/jaciii.2007.p0187


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

February 15, 2006
November 17, 2006
February 20, 2007
A-IFSs, Atanassov’s intuitionistic fuzzy entropy (IE), thresholding, image segmentation, restricted dissimilarity functions

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 ([18, 24]) 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.

Cite this article as:
H. Bustince, E. Barrenechea, M. Pagola, and R. Orduna, “Image Thresholding Computation Using Atanassov’s Intuitionistic Fuzzy Sets,” J. Adv. Comput. Intell. Intell. Inform., Vol.11, No.2, pp. 187-194, 2007.
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