Improvement of Fuzzy Image Contrast Enhancement Using Simulated Ergodic Fuzzy Markov Chains

Behrouz Fathi-Vajargah and Maryam Gharehdaghi

Mathematical Problems in Engineering, 2014, vol. 2014, 1-8

Abstract:

This paper presents a novel fuzzy enhancement technique using simulated ergodic fuzzy Markov chains for low contrast brain magnetic resonance imaging (MRI). The fuzzy image contrast enhancement is proposed by weighted fuzzy expected value. The membership values are then modified to enhance the image using ergodic fuzzy Markov chains. The qualitative performance of the proposed method is compared to another method in which ergodic fuzzy Markov chains are not considered. The proposed method produces better quality image.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:343514

DOI: 10.1155/2014/343514

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