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Overlapping Cervical Nuclei Separation using Watershed Transformation and Elliptical Approach in Pap Smear Images

Journal of ICT Research and Applications (JICTRA) · Vol. 11 No. 3 (2017) · pp. 213–229

DOI
10.5614/itbj.ict.res.appl.2017.11.3.1
ISSN
2338-5499, 2337-5787
Published
2017-12-22
Publisher
DRI - ITB
Language
eng

Abstract

In this study, a robust method is proposed for accurately separating overlapping cell nuclei in cervical microscopic images. This method is based on watershed transformation and an elliptical approach. Since the watershed transformation process of taking the initial seed is done manually, the method was developed to obtain the initial seed automatically. Total initial seeds at this stage represents the number of nuclei that exist in the image of a pap smear, either overlapping or not. Furthermore, a method was developed based on an elliptical approach to obtain the area of each of the nuclei automatically. This method can successfully separate several (more than two) clustered cell nuclei. In addition, the proposed method was evaluated by experts and was proven to have better results than methods from previous studies in terms of accuracy and execution time. The proposed method can determine overlapping and non-overlapping boundaries of nuclei fast and accurately. The proposed method provides better decision-making on areas with overlapping nuclei and can help to improve the accuracy of image analysis and avoid information loss during the process of image segmentation.

Keywords

Collaboration network of the authors

5 authors · 5 co-authorship links · 2 across different organisations

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  • Islamic University of Indonesia
  • Muhammadiyah University of Yogyakarta
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Shinta Dewi KusumaningrumIslamic University of Indonesia1
Sri KusumadewiIslamic University of Indonesia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Overlapping Cervical Nuclei Separation using Watershed Transformation and Elliptical Approach in Pap Smear Images</dc:title>
	<dc:creator>Muhimmah, Izzati</dc:creator>
	<dc:creator>Kurniawan, Rahadian</dc:creator>
	<dc:creator>Indrayanti, Indrayanti</dc:creator>
	<dc:subject xml:lang="en-US">elliptical approach</dc:subject>
	<dc:subject xml:lang="en-US">gynecological cytology</dc:subject>
	<dc:subject xml:lang="en-US">microscopic image analysis</dc:subject>
	<dc:subject xml:lang="en-US">overlapping nuclei</dc:subject>
	<dc:subject xml:lang="en-US">Pap smear</dc:subject>
	<dc:subject xml:lang="en-US">watershed-based segmentation.</dc:subject>
	<dc:description xml:lang="en-US">In this study, a robust method is proposed for accurately separating overlapping cell nuclei in cervical microscopic images. This method is based on watershed transformation and an elliptical approach. Since the watershed transformation process of taking the initial seed is done manually, the method was developed to obtain the initial seed automatically. Total initial seeds at this stage represents the number of nuclei that exist in the image of a pap smear, either overlapping or not. Furthermore, a method was developed based on an elliptical approach to obtain the area of each of the nuclei automatically. This method can successfully separate several (more than two) clustered cell nuclei. In addition, the proposed method was evaluated by experts and was proven to have better results than methods from previous studies in terms of accuracy and execution time. The proposed method can determine overlapping and non-overlapping boundaries of nuclei fast and accurately. The proposed method provides better decision-making on areas with overlapping nuclei and can help to improve the accuracy of image analysis and avoid information loss during the process of image segmentation.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2017-12-22</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/1870</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2017.11.3.1</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 11 No. 3 (2017); 213-229</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/1870/3050</dc:relation>
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