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	Optimal matching of images using combined color feature and spatial feature
	Huang, Xin ; Zhang, Shijia ; Wang, Guoping ; Wang, Heng
	2006
英文摘要	In this paper1 we develop a new image retrieval method based on combined color feature and spatial feature. We introduce an ant colony clustering algorithm, which helps us develop a perceptually dominant color descriptor. The similarity between any two images is measured by combining the dominant color feature with its spatial feature. The optimal matching theory is employed to search the optimal matching pair of dominant color sets of any two images, and the similarity between the query image and the target image is computed by summing up all the distances of every matched pair of dominant colors. The algorithm introduced in this paper is well suited for creating small spatial color descriptors and is efficient. It is also suitable for image representation, matching and retrieval. ? Springer-Verlag Berlin Heidelberg 2006.; EI; 1
语种	英语
DOI标识	10.1007/11758501_57
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/295035]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Huang, Xin,Zhang, Shijia,Wang, Guoping,et al. Optimal matching of images using combined color feature and spatial feature. 2006-01-01.

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