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IMAGE RETIEVAL COLOR, SHAPE AND TEXTURE FEATURES USING CONTENT BASED

Keywords: CSS , Image retrieval , Histogram Intersection

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Abstract:

Content-based image retrieval (CBIR) is an important research area for manipulating large amount of image databases and archives. Extraction of invariant features is the basis of CBIR. This paper focuses on the problem of texture, color& shape feature extractions. Using just one feature information for comparing images may cause inaccuracy than compared with using more than one features. Therefore many image retrieval system use many feature information like color, shape and other features. We use HSI color information especially Huevalue and CSS (Curvature Scale Space) as shape information. From a large image data base, an automatic shape & color Based retrivel technique can Significantly retrival task Using Just two feature information for comparing image May cause inaccuracy than compared with using more than two features Accuracy high .We are Using three features for image Retrieval like color, shape & texture Feature ,We use HIS color information especially HUE Value and CSS(curvature scale space) as shape information. As a Result Three Features combine fulfill the aspect of Retrieval in Image.

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