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Segmentation of Overlapping Cervical Cells in Normal Pap Smear Images Using Distance-Metric and Morphological Operation

Authors :
Rahadian Kurniawan
Izzati Muhimmah
Arrie Kurniawardhani
Indrayanti Indrayanti
Source :
CommIT Journal, Vol 11, Iss 1, Pp 25-31 (2017)
Publication Year :
2017
Publisher :
Bina Nusantara University, 2017.

Abstract

The automatic interpretation of Pap Smear image is one of challenging issues in some aspects. Accurate segmentation for each cell is an important procedure that must be done so that no information is lost during the evaluation process. However, the presence of overlapping cells in Pap Smear image make the automated analysis of these cytology images become more difficult. In most of the studies, cytoplasm segmentation is the difficult stage because the boundaries between cells are very thin. In this study, we propose an algorithm that can segment the overlapping cytoplasm. First, the morphology operation and global thresholding to segment cytoplasm is done. Second, the overlapping area on cytoplasm region is separated using morphological operation and distance criteria on each pixel. The proposed method has been evaluated against the results of manual tracing by experts. The experiment results show that the proposed method can segment the overlapping cytoplasm as similar as experts do, i.e., 2:897 3:632 (mean std) using Hausdorff distance.

Details

Language :
English
ISSN :
19792484 and 24607010
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
CommIT Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.4c856208845642d485f7ce0f0bdecb5f
Document Type :
article
Full Text :
https://doi.org/10.21512/commit.v11i1.1957