Quantization of colors using median of pixels for color correlogram

Authors:
Jongan Park;Youngeun An;Pankoo Kim
Affiliations:
Dept of Information & Communications Engineering, Chosun University, Gwangju, Korea;Dept of Information & Communications Engineering, Chosun University, Gwangju, Korea;Dept of Information & Communications Engineering, Chosun University, Gwangju, Korea
Venue:
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
Year:
2007

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Abstract

Content based image retrieval (CBIR) mostly uses color correlogram for image features because it extracts not only the color distribution of pixels in images like color histogram, but also extracts the spatial information of pixels in the images. The size of color correlogram depends on the number of quantized colors used for feature extractions. Usually, 64 quantized colors are used, and hence the size of the correlogram is 64×64 for unit distance. In this paper, we reduce the size of color correlogram to 9×9 by quantizing the color pixels using the median of pixels within a small 3×3 block. The proposed algorithm has smaller size of the correlogram and gives comparable image retrieval results.