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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Bibliographic Details
Published in2009 52nd IEEE International Midwest Symposium on Circuits and Systems pp. 869 - 872
Main Authors Anzueto-Rios, A., Moreno-Cadenas, J.A., Gomez-Castaneda, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
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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Summary: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.
ISBN:1424444799
9781424444793
ISSN:1548-3746
1558-3899
DOI:10.1109/MWSCAS.2009.5235904