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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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Tan , Khang Siang
التنسيق: أطروحة
اللغة:English
منشور في: 2011
الموضوعات:
الوصول للمادة أونلاين:http://eprints.usm.my/42775/1/TAN_KHANG_SIANG.pdf
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spelling my-usm-ep.427752019-04-12T05:26:37Z Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation 2011-05 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 http://eprints.usm.my/42775/ http://eprints.usm.my/42775/1/TAN_KHANG_SIANG.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuteraan Elektrik & Elektronik
institution Universiti Sains Malaysia
collection USM Institutional Repository
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
qualification_level Master's degree
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
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Kejuteraan Elektrik & Elektronik
publishDate 2011
url http://eprints.usm.my/42775/1/TAN_KHANG_SIANG.pdf
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