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Contrast Enhancement of Cancer Cell Images Using Fuzzy Logic



Год выпуска: 2014
Автор: Katayoun Sayar and Mohammadjavad Paydar
Издательство: LAP Lambert Academic Publishing
Страниц: 68
ISBN: 9783659262951
Описание
Image contrast enhancement is a widely used technique in image processing, which aims to improve the contrasts of degraded images. Low contrast is one of the most common defects of photographic, medical and electronic images and consequently enhancing the contrasts of the degraded images becomes necessary. In the present study, four contrast enhancement methods, Fuzzy Inference System (FIS), Global Histogram Equalization (GHE), Brightness preserving Bi-Histogram Equalization (BBHE) and Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE) were applied on MATLAB popular images and also on microscopic images of in vitro cell migration assay. Efficiency of the techniques in contrast enhancement and mean brightness preservation were compared based on the output images and the resulted histograms. In general, Histogram Equalization (HE) based methods could enhance the contrast of the images better than the introduced Fuzzy Inference system. BPDFHE demonstrated the highest...


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