A signature for content-based image retrieval using a geometrical transform

1. ABS~CT Tradition image retrieval methods use primq fea~, such as coIour, shape and tetie, in indetig and retrieval. However, Mteratia and our e~eriment show that no one feature can perform consistently over a variety of imagw. Some aspects of the images have not been eqloited. We propose a feature using geometrid @don) transform for the stiarity measurement in contentbased image indetig and retrieval. The signature has a property to reflect the geometrid distribution of the image without a sophisticated segmentation. The eqeriments show that the feature outperforms some @ting image query systems such as ~M QBIC and Virage. 1.1

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