Histogram equalization based on the fuzzy local fittingness

Marco A. García, Cherif Ben-Youssef, Ramón Soto C.

Research output: Contribution to conferencePaper

Abstract

© 2014 by World Scientific Publishing Co. Pte. Ltd. All rights reserved. Histogram modification techniques are an important tool for image enhancement. However, the efficiency of most of these techniques is limited due to the lack of mechanisms to differentiate between pixels that have the same intensity but belong to regions which are semantically distinct. In this paper, a method for histogram equalization, able to selectively modify each pixel in a digital image based on the context established by its neighboring pixels is proposed. This method emulates the decision–making process used by living organisms to recognize patterns, as described by the Gestalt theory.
Original languageAmerican English
Pages418-423
Number of pages6
StatePublished - 1 Jan 2014
EventDecision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014 -
Duration: 1 Jan 2014 → …

Conference

ConferenceDecision Making and Soft Computing - Proceedings of the 11th International FLINS Conference, FLINS 2014
Period1/01/14 → …

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