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All Journal International Journal of Public Health Science (IJPHS) CommIT (Communication & Information Technology) Journal of ICT Research and Applications AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Program Pengabdian Masyarakat
Indrayanti, Indrayanti
Pathology Anatomy Department, Medicine And Health Science Faculty, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Health Professions Medicine & Pharmacology Social Sciences

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Journal : Journal of ICT Research and Applications

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Overlapping Cervical Nuclei Separation using Watershed Transformation and Elliptical Approach in Pap Smear Images Izzati Muhimmah; Rahadian Kurniawan; Indrayanti Indrayanti
Journal of ICT Research and Applications Vol. 11 No. 3 (2017)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2017.11.3.1

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.
Co-Authors - Sagiran Adellia Qotrunnisa Buddya Angesti Akrom, Akrom Anisya Fitriana Az-zahra Arrie Kurniawardhani Astuti, Yoni Bening Suci Athurfah Izzati Muhimmah Khoirunnisa Widyastuti Kurnia Ardy Pamungkas Rahadian Kurniawan Rahardian Dwi Cahya Taqiyya Nasyiatunnisa Thoharoh Halimatusa'diyah Thoharoh Halimatusa’diyah Titiek Suhardi Haripurnomo Kushadiwijaya Hidayati Wahid Nur Salbillah