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

Dwiza Riana; Herdian Tohir; Achmad Nizar Hidayanto

doi:10.1109/IAC.2018.8780561

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

Dwiza Riana
, Herdian Tohir
, Achmad Nizar Hidayanto

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 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 language	English
Title of host publication	Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538669204
DOIs	https://doi.org/10.1109/IAC.2018.8780561
Publication status	Published - 1 Oct 2018
Event	3rd International Conference on Informatics and Computing, ICIC 2018 - Palembang, Indonesia Duration: 17 Oct 2018 → 18 Oct 2018

Publication series

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

Conference

Conference	3rd International Conference on Informatics and Computing, ICIC 2018
Country/Territory	Indonesia
City	Palembang
Period	17/10/18 → 18/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cervical cancer
Image Pap smear
K-means
Otsu
Overlapping

Access to Document

10.1109/IAC.2018.8780561

Cite this

Riana, D., Tohir, H., & Hidayanto, A. N. (2018). Segmentation of overlapping areas on pap smear images with color features using K-means and otsu methods. In Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018 Article 8780561 (Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAC.2018.8780561

Riana, Dwiza ; Tohir, Herdian ; Hidayanto, Achmad Nizar. / Segmentation of overlapping areas on pap smear images with color features using K-means and otsu methods. Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018).

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

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.",

keywords = "Cervical cancer, Image Pap smear, K-means, Otsu, Overlapping",

author = "Dwiza Riana and Herdian Tohir and Hidayanto, \{Achmad Nizar\}",

year = "2018",

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language = "English",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018",

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Riana, D, Tohir, H & Hidayanto, AN 2018, Segmentation of overlapping areas on pap smear images with color features using K-means and otsu methods. in Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018., 8780561, Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018, Institute of Electrical and Electronics Engineers Inc., 3rd International Conference on Informatics and Computing, ICIC 2018, Palembang, Indonesia, 17/10/18. https://doi.org/10.1109/IAC.2018.8780561

Segmentation of overlapping areas on pap smear images with color features using K-means and otsu methods. / Riana, Dwiza; Tohir, Herdian; Hidayanto, Achmad Nizar.
Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8780561 (Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Segmentation of overlapping areas on pap smear images with color features using K-means and otsu methods

AU - Riana, Dwiza

AU - Tohir, Herdian

AU - Hidayanto, Achmad Nizar

PY - 2018/10/1

Y1 - 2018/10/1

N2 - 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.

AB - 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.

KW - Cervical cancer

KW - Image Pap smear

KW - K-means

KW - Otsu

KW - Overlapping

UR - https://www.scopus.com/pages/publications/85070833647

U2 - 10.1109/IAC.2018.8780561

DO - 10.1109/IAC.2018.8780561

M3 - Conference contribution

T3 - Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018

BT - Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Informatics and Computing, ICIC 2018

Y2 - 17 October 2018 through 18 October 2018

ER -

Riana D, Tohir H, Hidayanto AN. Segmentation of overlapping areas on pap smear images with color features using K-means and otsu methods. In Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8780561. (Proceedings of the 3rd International Conference on Informatics and Computing, ICIC 2018). doi: 10.1109/IAC.2018.8780561

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

Abstract

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UN SDGs

Keywords

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