Fuzzy technique for image enhancement using B-spline

This paper presents an adaptable fuzzy algorithm for image enhancement. The method is based on the modification of the membership functions for minimizing the measure of fuzziness of an input image. The modification of the membership functions is used to denote the characteristic relationship betwee...

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Main Authors: Anzueto-Rios, A., Moreno-Cadenas, J.A., Gomez-Castaneda, F.
Format: Conference Proceeding
Language:English
Subjects:
B-spline
Brightness
contrast-enhancement
fuzzy membership function
Fuzzy set theory
Fuzzy sets
Histograms
Image enhancement
Image processing
Measure of fuzziness
Pixel
Solid state circuits
Spline
Very large scale integration
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creator Anzueto-Rios, A.
Moreno-Cadenas, J.A.
Gomez-Castaneda, F.
description This paper presents an adaptable fuzzy algorithm for image enhancement. The method is based on the modification of the membership functions for minimizing the measure of fuzziness of an input image. The modification of the membership functions is used to denote the characteristic relationship between a group of pixels and its position inside a histogram. This consists in the optimization criterion of the contrast-enhancement procedure in an image. The experimental results are also presented to validate the proposed framework.
doi_str_mv 10.1109/MWSCAS.2009.5235904
format conference_proceeding
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source IEEE Xplore All Conference Series
subjects B-spline
Brightness
contrast-enhancement
fuzzy membership function
Fuzzy set theory
Fuzzy sets
Histograms
Image enhancement
Image processing
Measure of fuzziness
Pixel
Solid state circuits
Spline
Very large scale integration
title Fuzzy technique for image enhancement using B-spline
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