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Making intelligent decisions on noisy images

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Autor Farias G.
Autor Dormido-Canto S.
Autor Santos M.
Autor Vega J.
Fecha Ingreso 2014-04-05T00:02:41Z
Fecha Disponible 2014-04-05T00:02:41Z
Fecha en Repositorio 2014-04-04
dc.description.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. en_US
dc.source World 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.
Link Descarga dc.source.uri
Title dc.title Making intelligent decisions on noisy images en_US
Tipo dc.type Conference Paper
dc.description.keywords Intelligent decisions; Noisy image; Fuzzy logic; Uncertainty analysis; Image classification en_US

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