Abstract
In this paper, a color image retrieval method based on the primitives of color moments will be proposed. First, an image is divided into several blocks. Then, the color moments of all blocks are extracted and clustered into several classes. The mean moments of each class are considered as a primitive of the image. All primitives are used as features. Since two different images may have different numbers of features, a new similarity measure is then proposed. To demonstrate the effectiveness of the proposed method, a test database from Corel is used to compare the performances of the proposed method with other existing ones. The experimental results show that the proposed method is better than others.
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Jau-Ling, S., Ling-Hwei, C. (2002). Color Image Retrieval Based on Primitives of Color Moments. In: Chang, SK., Chen, Z., Lee, SY. (eds) Recent Advances in Visual Information Systems. VISUAL 2002. Lecture Notes in Computer Science, vol 2314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45925-1_8
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DOI: https://doi.org/10.1007/3-540-45925-1_8
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