Novel Fuzzy Filters for Noise Suppression from Digital Grey and Color Images

  • Published 2017

Abstract

Images are rich information carriers and (such as medical images) are normally contaminated by additive and substitutive noise which makes the extraction of features (and clinical data analysis) difficult. Hence to enhance the image quality prior to post processing, image pre-processing operations such as de-noising with linear and non-linear filters have… (More)

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Cite this paper

@inproceedings{2017NovelFF, title={Novel Fuzzy Filters for Noise Suppression from Digital Grey and Color Images}, author={}, year={2017} }