Efficient segmentation of cellular images using gradient-based methods and simple morphological filters

被引：0

作者：

Sweeney, N ^{[1
]}

Sweeney, BV ^{[1
]}

机构：

[1] Armed Forces Inst Pathol, Quantitat Pathol Div, Washington, DC 20306 USA

来源：

PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING | 1997年 / 19卷

关键词：

segmentation; gradient; morphological; watershed;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents an algorithm for segmenting two-dimensional (2-D) microscope images of overlapping regions of cell nuclei. Algorithms for segmenting such images must be fast as well as capable of handling subtle variability between objects if they are to be of practical clinical use. We attempt to address these issues by the application of techniques that exploit local features, extract object boundaries, perform skeletonization using the distance transform and gradient operators, and evaluate junction segment candidates based on boundary criteria.

引用

页码：880 / 882

页数：3

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