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

Tan , Khang Siang (2011) Initialization Methods For Conventional Fuzzy C-Means And Its Application Towards Colour Image Segmentation. Masters thesis, Universiti Sains Malaysia.

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Abstract

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.

Item Type:	Thesis (Masters)
Subjects:	T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Divisions:	Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Thesis
Depositing User:	ASM Ab Shukor Mustapa
Date Deposited:	29 Oct 2018 06:51
Last Modified:	12 Apr 2019 05:26
URI:	http://eprints.usm.my/id/eprint/42775

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