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

Autor:	Hélène Gouinaud, Lara Leclerc
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	color cytology human vision image analysis logarithmic image processing segmentation Medicine (General) R5-920 Mathematics QA1-939
Zdroj:	Image Analysis and Stereology, Vol 32, Iss 3, Pp 167-174 (2013)
Druh dokumentu:	article
ISSN:	1580-3139 1854-5165
DOI:	10.5566/ias.v32.p167-174
Popis:	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 morphology processing using color information on human visual system based models such as CIELAB model, LUX (Logarithmic hUe eXtension) model and CoLIP (Color Logarithmic Image Processing) model, a new human color vision based model also presented in this article. The results show that the CoLIP model, developed following each step of the human visual color perception, is particularly well adapted for this type of images.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/75302f45425740eba0e142b9d2ea897b Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF