Image Retrieval Using Local Colour and Texture Features-Reference-Cited by-同舟云学术

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Image Retrieval Using Local Colour and Texture Features

Published:2012 Issue: Volume: Page:767-772
ISSN:1867-5662
Container-title:Advances in Intelligent and Soft Computing
language:
Short-container-title:

Author:

Vimina E. R.,Poulose Jacob K.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-27329-2_105

Reference12 articles.

1. Flickner, M., Sawhney, H., Niblack, J., Ashley, J., Huang, Q., Dom, B., et al.: Query by Image and Video Content: The QBIC System. IEEE Computer 28, 23–32 (1995)

2. Chen, Y., Wang, J.Z., Krovetz, R.: CLUE: Cluster-based retrieval of images by unsupervised learning. IEEE Transactions on Image Processing 14(8), 1187–1201 (2005)

3. Wang, J.Z., Li, J., Wiederhold, G.: SIMPLIcity: Semantics-sensitive Integrated Matching for Picture LIbraries. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(9), 947–963 (2001)

4. Smeulders, A.M.W., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of early years. IEEE Transactions On Pattern Analysis and Machine Intelligence 22(12), 1349–1380 (2000)

5. Carson, C., Thomas, M., Belongie, S., Hellerstein, J.M., Malik, J.: Blobworld: A System for Region-Based Image Indexing and Retrieval. In: Proceedings of the Third International Conference on Visual Information Systems, pp. 509–516 (1999)

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