The Role of Entropy in 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:
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Year:
2007

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Abstract

In this paper we study the impact of selecting different entropy measures in the framework of intuitionistic fuzzy image processing and especially in the process of intuitionistic fuzzification of images. Different notions of entropy characterized by different properties are reviewed and their behavior is thoroughly studied under the scope of performing contrast enhancement. Finally, experimental results using gray-scale images reveal the characteristics of the aforementioned measures.