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Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation

Due to its capability in providing a particularly promising solution to clustering problems, the conventional Fuzzy C-Mean (FCM) algorithm is widely used as a segmentation method. However, it is very sensitive to the initialization conditions of number of clusters and initial cluster centres. Thus,...

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Main Author: Tan , Khang Siang
Format: Thesis
Language:English
Published: 2011
Subjects:
TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:http://eprints.usm.my/42775/1/TAN_KHANG_SIANG.pdf
http://eprints.usm.my/42775/
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spelling my.usm.eprints.42775 http://eprints.usm.my/42775/ Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation Tan , Khang Siang TK1-9971 Electrical engineering. Electronics. Nuclear engineering Due to its capability in providing a particularly promising solution to clustering problems, the conventional Fuzzy C-Mean (FCM) algorithm is widely used as a segmentation method. However, it is very sensitive to the initialization conditions of number of clusters and initial cluster centres. Thus, three initialization schemes for the conventional FCM algorithm namely the Hierarchical Approach (HA), the Colour Quantization (CQ) and the Histogram Thresholding (HT) are proposed to automatically obtain the initialization conditions for the conventional FCM algorithm. 2011-05 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/42775/1/TAN_KHANG_SIANG.pdf Tan , Khang Siang (2011) Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation. Masters thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Tan , Khang Siang
Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation
description Due to its capability in providing a particularly promising solution to clustering problems, the conventional Fuzzy C-Mean (FCM) algorithm is widely used as a segmentation method. However, it is very sensitive to the initialization conditions of number of clusters and initial cluster centres. Thus, three initialization schemes for the conventional FCM algorithm namely the Hierarchical Approach (HA), the Colour Quantization (CQ) and the Histogram Thresholding (HT) are proposed to automatically obtain the initialization conditions for the conventional FCM algorithm.
format Thesis
author Tan , Khang Siang
author_facet Tan , Khang Siang
author_sort Tan , Khang Siang
title Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation
title_short Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation
title_full Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation
title_fullStr Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation
title_full_unstemmed Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation
title_sort initialization methods for conventional fuzzy c-means and its application towards colour image segmentation
publishDate 2011
url http://eprints.usm.my/42775/1/TAN_KHANG_SIANG.pdf
http://eprints.usm.my/42775/
_version_ 1643710572957532160
score 13.15806

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