Making intelligent decisions on noisy images

GONZALO ALBERTO FARIAS CASTRO, Sebastián Dormido-Canto, Matilde Santos, Jesús Vega

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Making successful decisions on image classification can be influenced by the level of present noise. The noise on data can be reduced applying many classical and advanced techniques such as low pass filters or wavelets. However, in some cases the presence of the noise is not global but located only in some particular regions of the image. In these situations the application of global filters over the entire image is not a suitable option since the noise and the information are equally reduced. This article describes an intelligent approach to eliminate noise and avoid affecting the overall image.

Original languageEnglish
Title of host publicationWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Pages999-1004
Number of pages6
StatePublished - 1 Dec 2012
Event10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey
Duration: 26 Aug 201229 Aug 2012

Publication series

NameWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Volume7

Conference

Conference10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
CountryTurkey
CityIstanbul
Period26/08/1229/08/12

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