Combining texture, shape and spatial information for image retrieval
نویسندگان
چکیده
Most Content-Based Image Retrieval (CBIR) systems employ color as primary feature with texture and shape as secondary features. Very few systems exploit spatial features. None of the available systems combines all three visual features, texture, shape and location, for organization and retrieval. Moreover relatively few systems use Gabor filters in texture extraction, despite the widely acclaimed efficiency; Gabor filters are confined only in pure texture images. In this paper a simple, robust, flexible and effective image retrieval system is presented. The proposed system uses weighted combination of integrated Gabor texture features, shape features of texture regions and spatial information features of the texture regions.
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