Color image retrieval using compressed chromaticity and color edge information

Ho-Young Lee; Hee-Soo Kim; Ho-Keun Lee; Yeong-Ho Ha

doi:10.1117/12.410960

1 January 2001 Color image retrieval using compressed chromaticity and color edge information

Ho-Young Lee, Hee-Soo Kim, Ho-Keun Lee, Yeong-Ho Ha

Proceedings Volume 4315, Storage and Retrieval for Media Databases 2001; (2001) https://doi.org/10.1117/12.410960
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Ho-Young Lee, Hee-Soo Kim, Ho-Keun Lee, and Yeong-Ho Ha "Color image retrieval using compressed chromaticity and color edge information", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); https://doi.org/10.1117/12.410960

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KEYWORDS

Binary data

Image retrieval

Image compression

RGB color model

Databases

Roentgenium

Edge detection

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