Image segmentation techniques for redblood cell : on overview
Image processing technique applies in different domains, such as medical, remote sensing and security. This techniques Aims to get a simple image called -image processed- should retain maximum useful information. The sensitive step in image processing is segmentation of image. Segmentation is first...
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Penerbit UTM Press
2015
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author | Abdul Jamil, M. Mahadi Wan Mahmud, Wan Mahani Hafiza Oussama, Laghouiter |
author_facet | Abdul Jamil, M. Mahadi Wan Mahmud, Wan Mahani Hafiza Oussama, Laghouiter |
author_sort | Abdul Jamil, M. Mahadi |
collection | UTHM |
description | Image processing technique applies in different domains, such as medical, remote sensing and security. This techniques Aims to get a simple image called -image processed- should retain maximum useful information. The sensitive step in image processing is segmentation of image. Segmentation is first stage in medical image analysis seeded to two categories supervised and unsupervised technique. Accuracy of this stage affects the whole system performance. This paper present some methods applied for blood cell image segmentation and compares previous studies of overlapping cell division method. The common goal about this area is accuracy of counting the number of red blood cells (RBC) or white blood cells (WBC), which decrease with effect of some diseases such as anemia and leukemia. And makes it a critical factor in patient treatments. |
first_indexed | 2024-03-05T21:51:47Z |
format | Article |
id | uthm.eprints-5634 |
institution | Universiti Tun Hussein Onn Malaysia |
last_indexed | 2024-03-05T21:51:47Z |
publishDate | 2015 |
publisher | Penerbit UTM Press |
record_format | dspace |
spelling | uthm.eprints-56342022-01-19T04:23:44Z http://eprints.uthm.edu.my/5634/ Image segmentation techniques for redblood cell : on overview Abdul Jamil, M. Mahadi Wan Mahmud, Wan Mahani Hafiza Oussama, Laghouiter TR624-835 Applied photography. Including artistic, commercial, medical photography, photocopying processes Image processing technique applies in different domains, such as medical, remote sensing and security. This techniques Aims to get a simple image called -image processed- should retain maximum useful information. The sensitive step in image processing is segmentation of image. Segmentation is first stage in medical image analysis seeded to two categories supervised and unsupervised technique. Accuracy of this stage affects the whole system performance. This paper present some methods applied for blood cell image segmentation and compares previous studies of overlapping cell division method. The common goal about this area is accuracy of counting the number of red blood cells (RBC) or white blood cells (WBC), which decrease with effect of some diseases such as anemia and leukemia. And makes it a critical factor in patient treatments. Penerbit UTM Press 2015 Article PeerReviewed Abdul Jamil, M. Mahadi and Wan Mahmud, Wan Mahani Hafiza and Oussama, Laghouiter (2015) Image segmentation techniques for redblood cell : on overview. Jurnal Teknologi, 77 (6). pp. 71-75. ISSN 21803722 https://doi.org/10.11113/jt.v77.6230 |
spellingShingle | TR624-835 Applied photography. Including artistic, commercial, medical photography, photocopying processes Abdul Jamil, M. Mahadi Wan Mahmud, Wan Mahani Hafiza Oussama, Laghouiter Image segmentation techniques for redblood cell : on overview |
title | Image segmentation techniques for redblood cell : on overview |
title_full | Image segmentation techniques for redblood cell : on overview |
title_fullStr | Image segmentation techniques for redblood cell : on overview |
title_full_unstemmed | Image segmentation techniques for redblood cell : on overview |
title_short | Image segmentation techniques for redblood cell : on overview |
title_sort | image segmentation techniques for redblood cell on overview |
topic | TR624-835 Applied photography. Including artistic, commercial, medical photography, photocopying processes |
work_keys_str_mv | AT abduljamilmmahadi imagesegmentationtechniquesforredbloodcellonoverview AT wanmahmudwanmahanihafiza imagesegmentationtechniquesforredbloodcellonoverview AT oussamalaghouiter imagesegmentationtechniquesforredbloodcellonoverview |