Malaria parasites segmentation in red blood cells images using mean-shift and median-cut
This paper describes a better approach on merging segmentation algorithms of Mean-shift and Median-cut for color blood cells images. The proposed method applies in two major components of both algorithms. Before starting the analysis, image pre-processing procedure was applied to improve the ima...
Main Authors: | , |
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Format: | Book Section |
Language: | English |
Published: |
IEEE Computer Society
2010
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Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/2771/1/Tn._Zalizam_Tn_Muda_%26_Rosalina_A_Salam..pdf |
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author | Tn. Muda, Tn. Zalizam A Salam, Rosalina |
author_facet | Tn. Muda, Tn. Zalizam A Salam, Rosalina |
author_sort | Tn. Muda, Tn. Zalizam |
collection | UUM |
description | This paper describes a better approach on merging segmentation algorithms of Mean-shift and Median-cut for
color blood cells images. The proposed method applies in two
major components of both algorithms. Before starting the
analysis, image pre-processing procedure was applied to
improve the image before altering the RGB colour space to
LUV colour space. After that Mean-shift segmentation will
initiate the next process. Since the Means-shift algorithm
carry out low level segmentation, some of the region has no
semantic meaning. To combat this predicament, median-cut
algorithm was introduced to unite the gap left by the meansshift. The results showed better improvement in terms of the contour extraction for further processing. |
first_indexed | 2024-07-04T05:20:03Z |
format | Book Section |
id | uum-2771 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T05:20:03Z |
publishDate | 2010 |
publisher | IEEE Computer Society |
record_format | eprints |
spelling | uum-27712011-03-13T07:53:21Z https://repo.uum.edu.my/id/eprint/2771/ Malaria parasites segmentation in red blood cells images using mean-shift and median-cut Tn. Muda, Tn. Zalizam A Salam, Rosalina QA Mathematics This paper describes a better approach on merging segmentation algorithms of Mean-shift and Median-cut for color blood cells images. The proposed method applies in two major components of both algorithms. Before starting the analysis, image pre-processing procedure was applied to improve the image before altering the RGB colour space to LUV colour space. After that Mean-shift segmentation will initiate the next process. Since the Means-shift algorithm carry out low level segmentation, some of the region has no semantic meaning. To combat this predicament, median-cut algorithm was introduced to unite the gap left by the meansshift. The results showed better improvement in terms of the contour extraction for further processing. IEEE Computer Society 2010 Book Section PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/2771/1/Tn._Zalizam_Tn_Muda_%26_Rosalina_A_Salam..pdf Tn. Muda, Tn. Zalizam and A Salam, Rosalina (2010) Malaria parasites segmentation in red blood cells images using mean-shift and median-cut. In: 2010 International Conference on Intelligent Network and Computing (ICINC 2010), 26-28 November 2010, Kuala Lumpur, Malaysia. IEEE Computer Society, pp. 1-7. ISBN 978-1-4244-8270-2 |
spellingShingle | QA Mathematics Tn. Muda, Tn. Zalizam A Salam, Rosalina Malaria parasites segmentation in red blood cells images using mean-shift and median-cut |
title | Malaria parasites segmentation in red blood cells images using mean-shift and median-cut |
title_full | Malaria parasites segmentation in red blood cells images using mean-shift and median-cut |
title_fullStr | Malaria parasites segmentation in red blood cells images using mean-shift and median-cut |
title_full_unstemmed | Malaria parasites segmentation in red blood cells images using mean-shift and median-cut |
title_short | Malaria parasites segmentation in red blood cells images using mean-shift and median-cut |
title_sort | malaria parasites segmentation in red blood cells images using mean shift and median cut |
topic | QA Mathematics |
url | https://repo.uum.edu.my/id/eprint/2771/1/Tn._Zalizam_Tn_Muda_%26_Rosalina_A_Salam..pdf |
work_keys_str_mv | AT tnmudatnzalizam malariaparasitessegmentationinredbloodcellsimagesusingmeanshiftandmediancut AT asalamrosalina malariaparasitessegmentationinredbloodcellsimagesusingmeanshiftandmediancut |