Feature-Weighted Mountain Method with Its Application to Color Image Segmentation

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/22942

Title:	Feature-Weighted Mountain Method with Its Application to Color Image Segmentation
Authors:	Hung, Wen-Liang)1;Yang, MS (Yang, Miin-Shen)2;Yu, J (Yu, Jian)3;Hwang, CM (Hwang, Chao-Ming
Contributors:	應用數學系
Keywords:	ALGORITHM
Date:	2011-09
Issue Date:	2012-09-07 11:11:36 (UTC+8)
Abstract:	In this paper, we propose a feature-weighted mountain clustering method. The proposed method can work well when there are noisy feature variables and could be useful for obtaining initial estimat of cluster centers for other clustering algorithms. Results from color image segmentation illustrate the proposed method actually produces better segmentation than previous methods.
Relation:	INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS Volume: 4 Issue: 5 Pages: 1002-1011
Appears in Collections:	[Department of Applied Mathematics] journal articles

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