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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Main Authors: Abdul Jamil, M. Mahadi, Wan Mahmud, Wan Mahani Hafiza, Oussama, Laghouiter
Format: Article
Published: Penerbit UTM Press 2015
Subjects:
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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.
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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
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AT wanmahmudwanmahanihafiza imagesegmentationtechniquesforredbloodcellonoverview
AT oussamalaghouiter imagesegmentationtechniquesforredbloodcellonoverview