Articles liés à Contrast Enhancement of Cancer Cell Images Using Fuzzy...

Contrast Enhancement of Cancer Cell Images Using Fuzzy Logic: State of Fuzzy Image Processing in Pharmacology - Couverture souple

Sayar, Katayoun; Paydar, Mohammadjavad

 
9783659262951: Contrast Enhancement of Cancer Cell Images Using Fuzzy Logic: State of Fuzzy Image Processing in Pharmacology
Couverture souple
ISBN 10 : 3659262951 ISBN 13 : 9783659262951
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

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 efficiency in contrast enhancement and mean brightness preservation of the images, representing great potential for further applications in photographic, electronic and medical image processing.

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À propos de l'auteur

Katayoun Sayar holds Bachelor of Electrical and Electronics Engineering from University of Malaya (UM). Her research interests particularly focus on Artificial Intelligence and Fuzzy Logic, Biomedical Image Processing, Tissue Engineering and the Engineering of Cell Microenvironment based on Novel Magnetic Hydrogel.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659262951
ISBN 13 
9783659262951
Reliure
Broché
Nombre de pages
68
Coordonnées du fabricant
non disponible
Personne responsable
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