Semi-automated identification of white blood cell using active contour technique

Manual and automated diagnosis can be used to identify the morphology of blood cells. However, the manual diagnosis of the blood cells is time consuming and need hematologist and pathologist experts in order to diagnose diseases. Recently, the automated diagnosis which is require image processing te...

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Main Authors: Che Marzuki, Nurhanis Izzati, Mahmood, Nasrul Humaimi, Abdul Razak, Mohd. Azhar
Format: Conference or Workshop Item
Published: 2015
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Online Access:http://eprints.utm.my/id/eprint/59469/
http://dx.doi.org/10.1063/1.4915827
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.594692021-12-14T07:45:14Z http://eprints.utm.my/id/eprint/59469/ Semi-automated identification of white blood cell using active contour technique Che Marzuki, Nurhanis Izzati Mahmood, Nasrul Humaimi Abdul Razak, Mohd. Azhar QD Chemistry Manual and automated diagnosis can be used to identify the morphology of blood cells. However, the manual diagnosis of the blood cells is time consuming and need hematologist and pathologist experts in order to diagnose diseases. Recently, the automated diagnosis which is require image processing technique are often been used in this area. This paper focuses on image processing technique to do segmentation on the nucleus of white blood cells (WBC). To identify the nucleus region, there are several image processing techniques applied besides the active contour method. The results obtained show that the detection on the edge of the nucleus is almost same as the original image of the nucleus. 2015 Conference or Workshop Item PeerReviewed Che Marzuki, Nurhanis Izzati and Mahmood, Nasrul Humaimi and Abdul Razak, Mohd. Azhar (2015) Semi-automated identification of white blood cell using active contour technique. In: International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014, 28 - 30 May 2014, Penang, Malaysia. http://dx.doi.org/10.1063/1.4915827
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QD Chemistry
spellingShingle QD Chemistry
Che Marzuki, Nurhanis Izzati
Mahmood, Nasrul Humaimi
Abdul Razak, Mohd. Azhar
Semi-automated identification of white blood cell using active contour technique
description Manual and automated diagnosis can be used to identify the morphology of blood cells. However, the manual diagnosis of the blood cells is time consuming and need hematologist and pathologist experts in order to diagnose diseases. Recently, the automated diagnosis which is require image processing technique are often been used in this area. This paper focuses on image processing technique to do segmentation on the nucleus of white blood cells (WBC). To identify the nucleus region, there are several image processing techniques applied besides the active contour method. The results obtained show that the detection on the edge of the nucleus is almost same as the original image of the nucleus.
format Conference or Workshop Item
author Che Marzuki, Nurhanis Izzati
Mahmood, Nasrul Humaimi
Abdul Razak, Mohd. Azhar
author_facet Che Marzuki, Nurhanis Izzati
Mahmood, Nasrul Humaimi
Abdul Razak, Mohd. Azhar
author_sort Che Marzuki, Nurhanis Izzati
title Semi-automated identification of white blood cell using active contour technique
title_short Semi-automated identification of white blood cell using active contour technique
title_full Semi-automated identification of white blood cell using active contour technique
title_fullStr Semi-automated identification of white blood cell using active contour technique
title_full_unstemmed Semi-automated identification of white blood cell using active contour technique
title_sort semi-automated identification of white blood cell using active contour technique
publishDate 2015
url http://eprints.utm.my/id/eprint/59469/
http://dx.doi.org/10.1063/1.4915827
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