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Proceedings Paper

Color image retrieval using compressed chromaticity and color edge information
Author(s): Ho-Young Lee; Hee-Soo Kim; Ho-Keun Lee; Yeong-Ho Ha
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Paper Abstract

Color histogram is widely used in image retrieval due to its simplicity and fast operation sped. Since color histogram describes only global color distribution in an image, it is not robust to large changes in appearance and shape caused by viewing position, camera zoom, etc. To overcome this problem, we propose the method using the color edge information. Although changes in appearance and shape happen, the pair of colors on the color edge does not change. So we use the global distribution of pairs of colors on the color edge pixel to cope with large appearance change. In the proposed method, color edge detection based on vector angle is performed to classify the pixels of image into smooth and edge pixels. For edge pixel, the global distribution of pairs of colors around the edge is represented by 36 non-uniform colors. In the smooth compressed by DCT. Joint histogram of compressed the 2D chromaticity histogram and the global distribution of pairs of colors is very robust to large appearance changes.

Paper Details

Date Published: 1 January 2001
PDF: 9 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410960
Show Author Affiliations
Ho-Young Lee, Kyungpook National Univ. (South Korea)
Hee-Soo Kim, Kyungpook National Univ. (South Korea)
Ho-Keun Lee, Kyungpook National Univ. (South Korea)
Yeong-Ho Ha, Kyungpook National Univ. (South Korea)


Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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