Automated segmentation of cytological and histological images for the nuclear quantification: An adaptive approach based on mathematical morphology

被引：2
|
作者：
Elmoataz, A [1 ]
Belhomme, P [1 ]
Herlin, P [1 ]
Schupp, S [1 ]
Revenu, M [1 ]
Bloyet, D [1 ]
机构：
[1] CTR FRANCOIS BACLESSE, ANAT PATHOL LAB, F-14021 CAEN, FRANCE
来源：
MICROSCOPY MICROANALYSIS MICROSTRUCTURES | 1996年 / 7卷 / 5-6期
关键词：
D O I：
10.1051/mmm:1996130
中图分类号：
TH742 [显微镜];
学科分类号：
摘要：
A general segmentation strategy allowing to blend multiple criteria such as contour-region or color information in a region growing process derived from the watershed transformation is proposed. It is applied onto different types of cytological and histological microscopic images.
引用
收藏
页码：331 / 337
页数：7
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