A novel texture image retrieval system based on dual tree complex wavelet transform and support vector machines

Proceedings - 2nd International Conference on Emerging Technologies 2006, ICET 2006

Volumn , Issue , 2006, Pages 108-114

  Mumtaz, Adeel ^a   Gilani, S A M ^a   Jameel, Tahir ^a  

^a GIK INSTITUTE OF ENGINEERING SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

Complex wavelet transform (CWT); Content based image retrieval; Support vector machine (SVM); Texture image retrieval

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; EXTRACTION; FEATURE EXTRACTION; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; IMAGE SEGMENTATION; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; INFORMATION SCIENCE; INFORMATION THEORY; LEARNING SYSTEMS; PARTIAL DISCHARGES; SUPPORT VECTOR MACHINES; TEXTURES; WAVELET TRANSFORMS;

(0 , 1) VECTORS; (111) TEXTURE; (SPM) CLASSES; COMBINING TECHNIQUES; DISTANCE METRIC; DUAL TREE COMPLEX WAVELET TRANSFORM (DT CWT); EXPERIMENTAL RESULTS; FEATURE VECTOR (FV); IMAGE RETRIEVAL SYSTEMS; INTERNATIONAL CONFERENCES; LINEAR FEATURES; LOW-LEVEL FEATURES; NON-LINEAR; QUERY IMAGES; RETRIEVAL PERFORMANCE; SECOND LEVEL; SEMANTIC CONCEPTS; SUPPORT VECTOR MACHINES ((SVM)); TEXTURE IMAGE RETRIEVAL; USER NEEDS; VECTOR MACHINES;

VECTORS;

EID: 46149122053     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICET.2006.335910     Document Type: Conference Paper

References (16)

1. Y. Rui and T. S. Huang, "Image Retrieval: Current Techniques, Promising Directions, and Open Issues", Journal of Visual Communication and Image Representation, Vol.10, pp.39-62, 1999
2. S. Deb, Y. Zhang, "An Overview of Content-based Image Retrieval Techniques," aina, vol. 01, no. 1, 2004.
3. R.C. Veltkamp, M. Tanase, "Content-Based Image Retrieval Systems: A Survey", UU-CS-2000-34, Department of Computer Science, Utretch University. October 2002.
4. A. Del Bimbo, M. Mugnaini, P. Pala, F. Turco, L. Verzucoli, "Image Retrieval by Color Regions," ICIAP 97, Image Analysis and Processing. 9th International Conference, ember, Florence, Italy.
5. Georgy L. Gimel'farb, Anil L. Jain, "On retriving textured images from an image database," Patter Recognition, Volume 29 Number 9, pp. 1461-1483, September 1996.
6. Venkat N. Gudivada, Vijay V. Raghavan, "Content-based Retrieval Systems," Computer, pp. 24-33, September 1995.
7. Flickner M., Sawhney H., et al. (1995) "Query by Image and Video Content: The QBIC System", IEEE Computer, September.
8. B. S. Manjunath and W. Y. Ma, "Texture features for browsing and retrieval of image data", IEEE Trans. Patt. Anal.Mach. Int. Special Issue on Digital Libraries, vol. 18, No. 8, pp. 837-842, August 1996.
9. J.-H. Han, D.-S. Huang, T.-M. Lok, and M. R. Lyu, "A Novel Image Retrieval System Based on BP Neural Network" International Joint Conference on Neural Networks (IJCNN 2005), Montréal, Québec, Canada, July 31-August 4, 2005.
10. Pranam Janney, G. Sridhar, V. Sridhar., "Enhancing capabilities of Texture Extraction for Color Image Retrieval". WEC (5) 2005: 282-285
11. Kashif M. Rajpoot, Nasir M. Rajpoot, "Wavelets and Support Vector Machines for Texture Classification" in Proceedings of 8th IEEE International Multi-topic Conference (INMIC'2004)
12. MIT-VisTex-database, http://vismod.media.mit.edu/vismod/imagery/ VisionTexture/vistex.html
13. Kingsbury, N.G.,"The Dual Tree Complex Wavelet Transform: a new efficient tool for image restoration and enhancement",Proc. European Signal Processing Conf., pp319-322,Spetempber 1998.
14. Peter, R. and Kingsbury, N.,"Complex Wavelets Features for Fast Texture Image retrieval', Proc IEEE Int. Conf. on Image Processing, Oct 25-28, 1999.
15. Kokare, M., Biswas, P.K., Chatterji,B.N., "Texture Image Retrieval Using New Rotated Complex Wavelet Filters", SMC-B(35), No. 6, December 2005, pp. 1168-1178.
16. J.A.K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, J. Vandewalle, Least Squares Support Vector Machines, World Scientific, Singapore, 2002 (ISBN 981-238-151-1