Abstract
Most texture-based image retrieval system just consider an original image of coarseness, contrast and roughness, actually there are many texture information in the edge image. In this paper, a method combining both edge information and gray level co-occurrence matrix properties is proposed to improve the retrieval performance. The proposed method gives encouraging results when comparing its retrieval performance to that of the Yao’s method, in the same image database.
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.
References
Zhao, W.S., Liu, G.Z., Zhou, Y.T.: Texture image retrieval and similarity matching. In: Proceedings of 2004 International Conference on Machine Learning and Cybernetics, vol. 7, pp. 4081–4084 (2004)
Shirahatti, N.V., Barnard, K.: Evaluating image retrieval. In: Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 955–961 (2005)
Partio, M., Cramariuc, B., Gabbouj, M.: Texture retrieval using ordinal co-occurrence features. In: Proceedings of the 6th Nordic Signal Processing Symposium, pp. 308–311 (2004)
Crane, R.: A Simplified Approach to image processing-Classical and Modern Techniques In C, pp. 79–95. Hewlett-packard Company, New Jersey (1997)
Yao, H.Y., Li, B.C.: An efficient approach for texture-based image retrieval. Neural Networks and Signal Processing, 1039–1043 (2003)
Partio, M., Cramariuc, B., Gabbouj, M., Visa, A.: Rock texture retrieval using gray level co-occurrence matrix. In: Nordic Signal Processing Symposium (2002)
Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural Features for Image Classification. IEEE Trans. on Systems, Man, and Cybernetics, 610–621 (1973)
Brodatz, P.: Textures: A Photographic Album for Artists and Designers. Dover Publication, New York (1966)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, J., Ha, SW. (2006). A Novel Approach Using Edge Detection Information for Texture Based Image Retrieval. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_101
Download citation
DOI: https://doi.org/10.1007/11881223_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45907-1
Online ISBN: 978-3-540-45909-5
eBook Packages: Computer ScienceComputer Science (R0)