Fuzzy Inference System based Contrast Enhancement

DOI

10.2991/eusflat.2011.13How to use a DOI?

Keywords

Image Enhancement, Contrast Stretching, Fuzzy Inference Systems, Fuzzy Partition, Histogram Equalisation, Histogram Matching, Gray level transformations.

Abstract

In this work, we propose a fuzzy inference system based contrast enhancement of gray level images. We propose a new method of generating the fuzzy if-then rules specific to a given image based on the local information available to be used by a fuzzy inference system. To this end, we only generate a partial histogram and not a complete histogram thus saving on computational costs. We also give a compartive study of our approach and some classical and existing fuzzy techniques, and show that the enhanced images from the proposed algorithm are comparable.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Balasubramaniam Jayaram
AU  - Kakarla Narayana
AU  - V. Vetrivel
PY  - 2011/08
DA  - 2011/08
TI  - Fuzzy Inference System based Contrast Enhancement
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 311
EP  - 318
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.13
DO  - 10.2991/eusflat.2011.13
ID  - Jayaram2011/08
ER  -