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...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference or Workshop Item |
Published: |
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/59469/ http://dx.doi.org/10.1063/1.4915827 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |
id |
my.utm.59469 |
---|---|
record_format |
eprints |
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 |
_version_ |
1720436911473950720 |