Abstract
In this paper, we propose a new color edge model and color edge histogram descriptor for contents-based image retrieval. The edge descriptor proposed by MPEG-7 standard is a representative approach for the contents-based image retrieval using the edge histogram that is derived from a gray-level image. This paper introduces a novel method that extracts color edge information from spectral color images rather than monochrome images and a new color edge histogram descriptor for the contents-based image retrieval. The proposed color edge model is obtained in two phases. In the first phase, we characterize the R,G,B channel components as a linear map (the differential) and impose a statistical interpretation on this map by considering the behavior of the map as it applied to unit normed vectors in the second phase. As a result, the constructed edge model will be expressed in a statistical fashion and will provide a mechanism to determine the possibility of the edge existence. The color edge histogram based on the direction of the color edge model is subsequently applied to the contents-based e-catalogue image retrieval. For the evaluation, the results of image retrieval using the proposed method are compared with those of image retrieval using the edge descriptor by MPEG-7 and other approaches. The experimental result supports the efficiency of the proposed method.
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Chun, J., Park, G., An, C. (2004). A Novel Approach for Contents-Based E-catalogue Image Retrieval Based on a Differential Color Edge Model. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3043. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24707-4_4
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DOI: https://doi.org/10.1007/978-3-540-24707-4_4
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