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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
M. Swain and D. Ballard, “Color indexing,” International Journal of Computer Vision, Vol. 7, No. 1, pp. 11–32, 1991.
M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele and P. Yanker, “Query by image and video content: The QBIC system,” IEEE Computer, Vol. 28, No. 9, pp. 23–32, 1995.
M. Stricker and M. Orengo, “Similarity of Color Images,” in Proc. SPIE Storage and Retrieval for Still Image and Video Databases III, pp. 381–392, San Jose, CA, USA, February 1995.
J. R. Smith and S. F. Chang, “Visually searching the web for content,” IEEE Trans. Multimedia, Vol. 4, No. 3, pp. 12–20, 1997.
J. Huang, S. K. Kumar, M. Mitra, W. Zhu and R. Zabih, “Image indexing using color correlograms,” in Proc. CVPR Int. Conf., pp. 762–768, 1997.
N. Akrout, R. Prost and R. Goutte, “Image compression by vector quantization: a review focused on codebook generation,” Image and Vision Computing, Vol. 12, No. 10, pp. 627–637, 1994.
Y. Deng and B. S. Manjunath, “An efficient low-dimensional color indexing scheme for region-based image reitrieval,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Vol. 6, pp. 3017–3020, 1999.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/3-540-45925-1_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43358-3
Online ISBN: 978-3-540-45925-5
eBook Packages: Springer Book Archive