A smart content-based image retrieval system based on color and texture feature-Reference-Cited by-同舟云学术

A smart content-based image retrieval system based on color and texture feature

Published:2009-05 Issue:6 Volume:27 Page:658-665
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Lin Chuen-Horng,Chen Rong-Tai,Chan Yung-Kuan

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference25 articles.

1. Y. Gong, H. Zhang, H. Chuant, and M. Skauuchi, An image database system with contents capturing and fast image indexing abilities, in: Proceedings of IEEE International Conferences on Multimedia Computing and Systems, Boston, Massachusetts, USA, May, 1994, pp. 121–130.

2. Design and evaluation of algorithms for image retrieval by spatial similarity;Gudivada;ACM Transactions on Information Systems (TOIS),1995

3. Y. Gu, B. Panda, K.A. Haque, Design and analysis of data structures for querying image databases, in: Proceedings of the ACM Symposium on Applied Computing, Las Vegas, Nevada, USA, 2001, pp. 236–241.

4. Image retrieval: current techniques, promising directions, and open issues;Rui;Journal of Visual Communication and Image Representation,1999

5. Similarity of color images;Stricker;SPIE: Storage Retrieval Image and Video Database III,1995

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