Fuzzy vector directional filters for multichannel image denoising

Authors:
Alberto Rosales-Silva;Volodymyr I. Ponomaryov;Francisco J. Gallegos-Funes
Affiliations:
National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Culhuacan, Mexico D.F., Mexico;National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Culhuacan, Mexico D.F., Mexico;National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Culhuacan, Mexico D.F., Mexico
Venue:
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Year:
2007

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Abstract

We propose a fuzzy logic recursive scheme using directional processing for motion detection and spatial-temporal filtering to decrease Gaussian noise corruption. We introduce novel ideas that employ the differences between images. That permits to connect these using angle deviations in them obtaining several parameters and applying them in the robust algorithm that is capable to detect and differentiate movement in background of noise in any way.