2Zhang L,Lin F,Zhang B. Support Vector machine for image retrieval.Proceedings of IEEE Intermafional Conference on Image Processing [ J ]. Thessaliniki, Greece, 2001 : 34-37.
4Rui Y,Huang T S,Mehrotra S,et al. Relevance feedback:A Power tool for interactive content-based image re trieval[J]. IEEE Transactions on Circuits and Systems for Video Technology, 1998,8 (5) : 644-655.
5Rui Y,Huang T S,Mehrotra S,et al. A relevance feedback architecture for content-based multimedia information retrieval systems [C]. In Proceedings of IEEE Workshop on Content-Based Access of Image and Video Libraries,Puerto Ri co, 1997: 82-90.
6Swain M J,Ballard D H. Color indexing [J]. International Journal of Computer Vision, 1991,7( 1 ) : 11-32.
7John R Smith,Shih-Fu Chang. Tools and Techniques for color image retrieval [J]. Prec. Storage and Retrieval for Image and Video Databases, 1996,2670:426-431.
8Rafael C Gonzalez.数字图形处理[M].北京:电子工业出版社.2007:343-347.
9Manjunath B S,Ma W Y. Texture Features for Browsing and Retrieval of Image Data [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996,18 (8) : 837- 842.
2Hossein Nezamabadi-pour,Saeid Saryazdi.Object-based image indexing and rRetrieval in DCT domain using clustering techniques[C].Proceedings of workd academy of science engineering and technology,2005,3:195-201.
3Barskar R, Ahmed G F. CBIR using fuzzy edge detection mask [A]. Proceedings of the 2011 International Conference on Commu nication, Computing ~ Security [C]. ACM, 2011= 277- 280.
4Su J H, Huang W J, Yu P S, et al. Efficient relevance feedback for content--based image retrieval by mining user navigation patterns [J]. Knowledge and Data Engineering, IEEE Transactions on, 2011, 23 (3): 360-372.
5Bian W, Tao D. Biased discriminant Euclidean embedding for con tent--based image retrieval [J]. Image Processing, IEEE Transac- tions on, 2010, 19 (2):545-554.
6Cho H C, Hadjiiski L, Sahiner B, et al. Similarity evaluation in a content--based image retrieval (CBIR) CADx system for character- ization of breast masses on ultrasound images [J]. Medical physics, 2011, 38 (4): 1820-1831.
7E1Alami M E. A novel image retrieval model based on the most rele- vant features [J]. Knowledge--Based Systems, 2011, 24 (1):23 -32.
8Rashedi E, Nezamabadi-- pour H. Improving the precision of CBIR systems by feature selection using binary gravitational search algo- rithm I-A]. Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on [C]. IEEE, 2012:039 - 042.
9Agarwal S, Verma A K, Singh P. Content Based Image Retrieval using Discrete Wavelet Transform and Edge Histogram Descriptor [A]. Information Systems and Computer Networks (ISCON), 2013 International Conference on [C]. IEEE, 2013:19 - 23.
10Rao P S, Vamsidhar E, Raju G V P, et al. An approach for CBIR system through multi layer neural network [J]. International Journal of Engineering Science and Technology, 2010, 2 (4) : 559 -563.
