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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2011
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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 |
| _version_ |
1747821100217139200 |