COLOR SEGMENTATION OF MGG COLORED CYTOLOGICAL IMAGES USING NON LINEAR OPPONENT COLOR SPACES

COLOR SEGMENTATION OF MGG COLORED CYTOLOGICAL IMAGES USING NON LINEAR OPPONENT COLOR SPACES

This paper presents a color image segmentation method for the quantification of viable cells from samples obtained after cytocentrifugation process and May Grunwald Giemsa (MGG) coloration and then observed by optical microscopy. The method is based on color multi-thresholding and mathematical morph...

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Bibliographic Details
Main Authors: Hélène Gouinaud, Lara Leclerc
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2013-10-01
Series:Image Analysis and Stereology
Subjects:
color
cytology
human vision
image analysis
logarithmic image processing
segmentation
Online Access:http://www.ias-iss.org/ojs/IAS/article/view/1005

Internet

http://www.ias-iss.org/ojs/IAS/article/view/1005

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