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Proceedings Paper

Extracting semantic object based on color feature using ISODAT algorithm
Author(s): Weiyu Yu; Yinglin Yu; Shengli Xie
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Paper Abstract

In this paper we present an approach to extract semantic object based on color feature using ISODATA clustering algorithm. First, we translate RGB color space into L*a*b* color space. Second, we use the ISODATA algorithm to solve clustering problem. In the end, we extract semantic object in terms of color information. Experimental results show that the color clustering give superior results in increases in cluster compactness.

Paper Details

Date Published: 4 November 2005
PDF: 9 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60432F (4 November 2005); doi: 10.1117/12.655009
Show Author Affiliations
Weiyu Yu, China Univ. of Technology (China)
Yinglin Yu, China Univ. of Technology (China)
Shengli Xie, China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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