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 64x64 for unit distance. In this paper, we reduce the size of color correlogram to 9x9 by quantizing the color pixels using the median of pixels within a small 3x3 block. The proposed algorithm has smaller size of the correlogram and gives comparable image retrieval results.
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Park, J., An, Y., Kim, P. (2007). Quantization of Colors Using Median of Pixels for Color Correlogram. In: Hui, Kc., et al. Technologies for E-Learning and Digital Entertainment. Edutainment 2007. Lecture Notes in Computer Science, vol 4469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73011-8_69
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DOI: https://doi.org/10.1007/978-3-540-73011-8_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73010-1
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