Extracting semantic object based on color feature using ISODAT algorithm
Weiyu Yu, Yinglin Yu, Shengli Xie · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
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.