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

Link to publisher's homepage at http://www.springerlink.com

Saved in:

Bibliographic Details
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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-13973
record_format	dspace
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

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

Similar Items