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JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Segmentasi Citra Sel Tunggal Smear Serviks Menggunakan Radiating Component Normalized Generalized GVFS

Component Normalized Generalized Gradient Vector Flow Snake (CNGGVFS) method is the development of Gradient Vector Flow Snake (GVFS) method as an external force algorithm for active contour (snake) that can be used to get the contour of nucleus and cytoplasm of cervical smear image. However, CNGGVFS...

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Main Author: Nursuci Putri Husain, Chastine Fatichah
Format: Jurnal
Language: Bahasa Indonesia
Published: Teknik elektro UGM 2017
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Online Access: http://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=82827
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spelling oai:lib.umy.ac.id:828272021-06-16T13:11:04ZJURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Segmentasi Citra Sel Tunggal Smear Serviks Menggunakan Radiating Component Normalized Generalized GVFSNursuci Putri Husain, Chastine Fatichah Component Normalized Generalized Gradient Vector Flow Snake (CNGGVFS) method is the development of Gradient Vector Flow Snake (GVFS) method as an external force algorithm for active contour (snake) that can be used to get the contour of nucleus and cytoplasm of cervical smear image. However, CNGGVFS using a conventional calculation of edge map such as Sobel can not detect the nucleus area correctly in single cell cervical smear image segmentation. In this study, an external force algorithm in snake that uses Radiating Edge Map (REM) calculation to search the edge map in CNGGVFS, called as Radiating Component Normalized Generalized Gradient Vector Flow Snake (RCNGGVFS), is proposed. RCNGGVFS is used to get the contour of nucleus and cytoplasm of single cervical smear image. There are three main stages in this study, which are: pre-processing, initial segmentation, and contour segmentation. Experiments are conducted on Herlev data-set. The proposed method is compared with other methods in previous research in single cell cervical smear image segmentation. The experiment results show that the proposed method can detect the nucleus area correctly better than Radiating GVFS & Fuzzy C-Means (FCM) and Radiating GVFS & K-means. The average value of accuracy and Zijdenbos similarity index (ZSI) for nucleus segmentation is 95.34% and 88.06%. Then, the average value of accuracy and ZSI for cytoplasm segmentation is 83.48% and 87.16%. The evaluations show the proposed method can be used as a segmentation process of cervical smear image on automatic identification of cervical cancer. Teknik elektro UGM 2017JurnalISBN:ISSN : 2301-4156JNTETI TAHUN VOL NO 2015 6 1 Bahasa Indonesiahttp://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=82827
institution Universitas Muhammadiyah Yogyakarta
collection Perpustakaan Yogyakarta
language Bahasa Indonesia
topic
spellingShingle
Nursuci Putri Husain, Chastine Fatichah
JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Segmentasi Citra Sel Tunggal Smear Serviks Menggunakan Radiating Component Normalized Generalized GVFS
description Component Normalized Generalized Gradient Vector Flow Snake (CNGGVFS) method is the development of Gradient Vector Flow Snake (GVFS) method as an external force algorithm for active contour (snake) that can be used to get the contour of nucleus and cytoplasm of cervical smear image. However, CNGGVFS using a conventional calculation of edge map such as Sobel can not detect the nucleus area correctly in single cell cervical smear image segmentation. In this study, an external force algorithm in snake that uses Radiating Edge Map (REM) calculation to search the edge map in CNGGVFS, called as Radiating Component Normalized Generalized Gradient Vector Flow Snake (RCNGGVFS), is proposed. RCNGGVFS is used to get the contour of nucleus and cytoplasm of single cervical smear image. There are three main stages in this study, which are: pre-processing, initial segmentation, and contour segmentation. Experiments are conducted on Herlev data-set. The proposed method is compared with other methods in previous research in single cell cervical smear image segmentation. The experiment results show that the proposed method can detect the nucleus area correctly better than Radiating GVFS & Fuzzy C-Means (FCM) and Radiating GVFS & K-means. The average value of accuracy and Zijdenbos similarity index (ZSI) for nucleus segmentation is 95.34% and 88.06%. Then, the average value of accuracy and ZSI for cytoplasm segmentation is 83.48% and 87.16%. The evaluations show the proposed method can be used as a segmentation process of cervical smear image on automatic identification of cervical cancer.
format Jurnal
author Nursuci Putri Husain, Chastine Fatichah
author_sort Nursuci Putri Husain, Chastine Fatichah
title JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Segmentasi Citra Sel Tunggal Smear Serviks Menggunakan Radiating Component Normalized Generalized GVFS
title_short JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Segmentasi Citra Sel Tunggal Smear Serviks Menggunakan Radiating Component Normalized Generalized GVFS
title_full JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Segmentasi Citra Sel Tunggal Smear Serviks Menggunakan Radiating Component Normalized Generalized GVFS
title_fullStr JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Segmentasi Citra Sel Tunggal Smear Serviks Menggunakan Radiating Component Normalized Generalized GVFS
title_full_unstemmed JURNAL NASIONAL TEKNIK ELEKTRO DAN TEKNOLOGI INFORMASI: Segmentasi Citra Sel Tunggal Smear Serviks Menggunakan Radiating Component Normalized Generalized GVFS
title_sort jurnal nasional teknik elektro dan teknologi informasi: segmentasi citra sel tunggal smear serviks menggunakan radiating component normalized generalized gvfs
publisher Teknik elektro UGM
publishDate 2017
url http://oaipmh-jogjalib.umy.ac.idkatalog.php?opo=lihatDetilKatalog&id=82827
isbn ISBN:ISSN : 2301-4156
callnumber-raw JNTETI TAHUN VOL NO 2015 6 1
callnumber-search JNTETI TAHUN VOL NO 2015 6 1
_version_ 1702754769857150976
score 14.79448

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