Image Thresholding Computation Using Atanassov’s Intuitionistic Fuzzy Sets
Humberto Bustince, Departamento de Automática y Computación, Universidad Pública de Navarra, Campus de Arrosadía, s/n, 31006 Pamplona, Navarra, Spain, Edurne Barrenechea, Miguel Pagola, Raúl Orduna-Urrutia · Journal of Advanced Computational Intelligence and Intelligent Informatics · 2007
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.