Segmentation of overlapping areas on pap smear images with color features using K-means and otsu methods

Dwiza Riana, Herdian Tohir, Achmad Nizar Hidayanto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Separation of overlapping areas on overlapping Pap smear image is still a tough thing to do. In addition to the process of identification of overlapping cells which is still difficult to do, sometimes there are components in the cells that complicate the process such as the presence of inflammatory cells that resemble the nucleus though the process of overlapping cell identification on Pap smear image is needed in early detection of Pap smear test to recognize a cell that is healthy or classified as cervical cancer cells. This study aims to segment the overlapping areas of Pap smear image by utilizing the color features of the cell. Stages of identification and separation of the area use K-means method combined with Otsu method. The results obtained in some cells of overlapping areas can be perfectly separated while in some other cells the results have not been encouraging and still require further research, especially to overcome the existence of inflammatory cells that complicate the separation process.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538669204
DOIs
Publication statusPublished - 1 Oct 2018
Event3rd International Conference on Informatics and Computing, ICIC 2018 - Palembang, Indonesia
Duration: 17 Oct 201818 Oct 2018

Publication series

NameProceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018

Conference

Conference3rd International Conference on Informatics and Computing, ICIC 2018
CountryIndonesia
CityPalembang
Period17/10/1818/10/18

Keywords

  • Cervical cancer
  • Image Pap smear
  • K-means
  • Otsu
  • Overlapping

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