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...

Full description

Bibliographic Details
Main Authors: Tn. Muda, Tn. Zalizam, A Salam, Rosalina
Format: Book Section
Language:English
Published: IEEE Computer Society 2010
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/2771/1/Tn._Zalizam_Tn_Muda_%26_Rosalina_A_Salam..pdf
_version_ 1825740031466143744
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