A Two-Dimensional Entropic Approach to Intuitionistic Fuzzy Contrast Enhancement

Authors:
Ioannis K. Vlachos;George D. Sergiadis
Affiliations:
Aristotle University of Thessaloniki, Faculty of Technology, Department of Electrical & Computer Engineering, Telecommunications Division, University Campus, GR---54124, Thessaloniki, Greece;Aristotle University of Thessaloniki, Faculty of Technology, Department of Electrical & Computer Engineering, Telecommunications Division, University Campus, GR---54124, Thessaloniki, Greece
Venue:
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Year:
2007

Citing 3
Cited 1

Intuitionistic fuzzy generators: application to intuitionistic fuzzy complementation

Fuzzy Sets and Systems
Entropy for intuitionistic fuzzy sets

Fuzzy Sets and Systems
Intuitionistic Fuzzy Sets: Theory and Applications

Intuitionistic Fuzzy Sets: Theory and Applications

K-operators: An approach to the generation of interval-valued fuzzy implications from fuzzy implications and vice versa

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a generalized approach to the intuitionistic fuzzification of gray-scale images. Parametric membership and non-membership functions are applied in order to derive the optimal representation of the image in the intuitionistic fuzzy domain. A two-dimensional intuitionistic fuzzy entropy measure is employed as the optimization criterion for driving the aforementioned procedure. Finally, experimental results demonstrate the ability of the proposed method to efficiently enhance low-contrasted gray-scale images.