Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application

Fuzzy-based clustering algorithm is becoming popular in image processing, especially in image segmentation. Based on the degree of the membership function, each pixel can be grouped into “natural group� of pixels according to the spatial coordinate using their values. In this work we present fea...

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Main Authors: Maliki, Mohamad Nansah, Abu Bakar Al-Attas, Syed Abdul Rahman
Other Authors: Banissi, E.
Format: Book Section
Language:English
Published: IEEE 2004
Subjects:
Online Access:http://eprints.utm.my/9810/
http://eprints.utm.my/9810/1/MohamadNansahMaliki2004_features_extraction_based_on_fuzzy_clustering.pdf
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author Maliki, Mohamad Nansah
Abu Bakar Al-Attas, Syed Abdul Rahman
author2 Banissi, E.
author_facet Banissi, E.
Maliki, Mohamad Nansah
Abu Bakar Al-Attas, Syed Abdul Rahman
author_sort Maliki, Mohamad Nansah
building UTeM Institutional Repository
collection Online Access
description Fuzzy-based clustering algorithm is becoming popular in image processing, especially in image segmentation. Based on the degree of the membership function, each pixel can be grouped into “natural group� of pixels according to the spatial coordinate using their values. In this work we present features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application. Instead of using blob analysis, we believe that fuzzy based clustering algorithm, can also be used to generate different clusters. Incorporating the motion-based segmentation the complexity of the fuzzy clustering will also be reduced because only the motion region will be processed to the clustering algorithm.
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format Book Section
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institution Universiti Teknologi Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T21:06:01Z
publishDate 2004
publisher IEEE
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spelling utm-98102011-03-07T09:07:01Z http://eprints.utm.my/9810/ Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application Maliki, Mohamad Nansah Abu Bakar Al-Attas, Syed Abdul Rahman QA75 Electronic computers. Computer science QA Mathematics TR Photography Fuzzy-based clustering algorithm is becoming popular in image processing, especially in image segmentation. Based on the degree of the membership function, each pixel can be grouped into “natural group� of pixels according to the spatial coordinate using their values. In this work we present features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application. Instead of using blob analysis, we believe that fuzzy based clustering algorithm, can also be used to generate different clusters. Incorporating the motion-based segmentation the complexity of the fuzzy clustering will also be reduced because only the motion region will be processed to the clustering algorithm. IEEE Banissi, E. Piah, A.R.M. Sarfraz, M. 2004-07-26 Book Section PeerReviewed application/pdf en http://eprints.utm.my/9810/1/MohamadNansahMaliki2004_features_extraction_based_on_fuzzy_clustering.pdf Maliki, Mohamad Nansah and Abu Bakar Al-Attas, Syed Abdul Rahman (2004) Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application. In: Proceedings - International Conference on Computer Graphics, Imaging and Visuualization, CGIV 2004. IEEE, USA, pp. 70-75. ISBN 978-076952178-7 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01323964 10.1109/CGIV.2004.1323964
spellingShingle QA75 Electronic computers. Computer science
QA Mathematics
TR Photography
Maliki, Mohamad Nansah
Abu Bakar Al-Attas, Syed Abdul Rahman
Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application
title Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application
title_full Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application
title_fullStr Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application
title_full_unstemmed Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application
title_short Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application
title_sort features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application
topic QA75 Electronic computers. Computer science
QA Mathematics
TR Photography
url http://eprints.utm.my/9810/
http://eprints.utm.my/9810/
http://eprints.utm.my/9810/
http://eprints.utm.my/9810/1/MohamadNansahMaliki2004_features_extraction_based_on_fuzzy_clustering.pdf