3 November 2005 Extracting semantic object based on color feature using ISODAT algorithm
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Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60432F (2005) https://doi.org/10.1117/12.655009
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
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Weiyu Yu, Weiyu Yu, Yinglin Yu, Yinglin Yu, Shengli Xie, Shengli Xie, "Extracting semantic object based on color feature using ISODAT algorithm", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60432F (3 November 2005); doi: 10.1117/12.655009; https://doi.org/10.1117/12.655009
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