29 November 2007 Image retrieval using color and edge histograms
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Content-based multimedia information retrieval is an interesting but difficult area of research. Current approaches include the use of color, texture, and shape information. This paper proposes a novel approach to content-based image retrieval. In our retrieval system, an image is represented by a set of color histogram and edge histogram descriptors. The histogram Euclidean distance, cosine distance and histogram intersection are used to measure the image level similarity. Finally, the overall similarity is computed as a weighted combination of image similarity measures incorporating all features. Our proposed retrieval approach demonstrates a promising performance for an image database including 766 general-purpose images. Effectiveness is documented by experimental results.
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Dongcheng Shi, Dongcheng Shi, Lan Xu, Lan Xu, Qi Wang, Qi Wang, } "Image retrieval using color and edge histograms", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 683336 (29 November 2007); doi: 10.1117/12.759617; https://doi.org/10.1117/12.759617


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