Cluster-based color matching for image retrieval

Abstract Color is an important attribute for image matching and retrieval. We present a new method fo color matching based on a clustering algorithm in 3-D color space. We define a new color feature to characterize the color information and a distance measure to compute the color similarity of images. We have implemented this technique and tested it for a database of approximately 170 images. The test results shoe that the ‘Efficiency of Retrieval’ of this new method is very high.

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