A CLASSIFICATION-DRIVE PARTIALLY OCCLUDED OBJECT SEGMENTATION (CPOOS)METHOD WITH APPLICATION TO CHROMOSOME ANALYSIS

Authors
LERNER B GUTERMAN H DINSTEIN I
Citation
B. Lerner et al., A CLASSIFICATION-DRIVE PARTIALLY OCCLUDED OBJECT SEGMENTATION (CPOOS)METHOD WITH APPLICATION TO CHROMOSOME ANALYSIS, IEEE transactions on signal processing, 46(10), 1998, pp. 2841-2847
Citations number
6
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on signal processing → ACNP
ISSN journal
1053587X
Volume
46
Issue
10
Year of publication
1998
Pages
2841 - 2847
Database
ISI
SICI code
1053-587X(1998)46:10<2841:ACPOOS>2.0.ZU;2-K
Abstract
Classification of segment images created by connecting points of high concavity along curvatures is used to resolve partial occlusion in ima ges. Modeling of shape or curvature is not necessary nor is the tradit ional excessive use of heuristics. Applied to human cell images, 82.6% of the analyzed clusters of chromosomes are correctly separated, risi ng to 90.5% following rejection of 8.7% of the images.