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Cluster approach for auto segmentation of blast in acute leukimia blood slide images

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Main Authors: N. H., Harun, Mohd Yusoff, Mashor, Prof. Dr., H., Rosline
Format: Working Paper
Language:English
Published: Springer-Verlag 2011
Subjects:
Acute leukemia blood images
Clustering
Fuzzy K-means
Moving K-means
Saturation component
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/13973
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spelling my.unimap-139732011-09-30T14:36:47Z Cluster approach for auto segmentation of blast in acute leukimia blood slide images N. H., Harun Mohd Yusoff, Mashor, Prof. Dr. H., Rosline Acute leukemia blood images Clustering Fuzzy K-means Moving K-means Saturation component Link to publisher's homepage at http://www.springerlink.com Image segmentation is an essential step in image analysis and is a requirement for feature extraction. One of the common segmentation techniques is using clustering algorithms. Currently, clustering algorithm has been used widely and popular in many fields such as in pattern recognition, image processing, and signal processing. These methods partition or group the objects of an image based on similarities and differences. This study proposed an automated color image segmentation technique using combination of saturation component base on HSI color space and clustering technique which are Moving K-means and Fuzzy K-means. Then, 7x7 pixels median filter was applied to remove unwanted noise after the segmentation process was completed. The comparison performance of the proposed technique was investigated. The experimental results yield a promising result for the combination of saturation component with Moving K-means clustering algorithm and 7x7 pixels median filter. 2011-09-30T14:36:47Z 2011-09-30T14:36:47Z 2011-06-20 Working Paper IFMBE Proceedings, vol. 35 (15), 2011, pages 617-622 978-3-6422-1728-9 1680-0737 http://www.springerlink.com/content/tm70n7r405t8020p/fulltext.pdf http://hdl.handle.net/123456789/13973 en Proceedings of the 5th Kuala Lumpur International Conference on Biomedical Engineering (BIOMED 2011) Springer-Verlag
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Acute leukemia blood images
Clustering
Fuzzy K-means
Moving K-means
Saturation component
spellingShingle Acute leukemia blood images
Clustering
Fuzzy K-means
Moving K-means
Saturation component
N. H., Harun
Mohd Yusoff, Mashor, Prof. Dr.
H., Rosline
Cluster approach for auto segmentation of blast in acute leukimia blood slide images
description Link to publisher's homepage at http://www.springerlink.com
format Working Paper
author N. H., Harun
Mohd Yusoff, Mashor, Prof. Dr.
H., Rosline
author_facet N. H., Harun
Mohd Yusoff, Mashor, Prof. Dr.
H., Rosline
author_sort N. H., Harun
title Cluster approach for auto segmentation of blast in acute leukimia blood slide images
title_short Cluster approach for auto segmentation of blast in acute leukimia blood slide images
title_full Cluster approach for auto segmentation of blast in acute leukimia blood slide images
title_fullStr Cluster approach for auto segmentation of blast in acute leukimia blood slide images
title_full_unstemmed Cluster approach for auto segmentation of blast in acute leukimia blood slide images
title_sort cluster approach for auto segmentation of blast in acute leukimia blood slide images
publisher Springer-Verlag
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/13973
_version_ 1643790963016990720
score 13.222552

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