Texture image retrieval using new rotated complex wavelet filters

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 35, Issue 6, 2005, Pages 1168-1178

  Kokare, Manesh ^a,b   Biswas, P K ^a   Chatterji, B N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b SHRI GURU GOBIND SINGHJI INSTITUTE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

Complex wavelet transform; Content based image retrieval; Rotated complex wavelet filters; Texture image retrieval

Indexed keywords

COMPUTATIONAL COMPLEXITY; CONTENT BASED RETRIEVAL; DATABASE SYSTEMS; DIGITAL FILTERS; WAVELET TRANSFORMS;

COMPLEX WAVELET TRANSFORM; ROTATED COMPLEX WAVELET FILTERS; TEXTURE IMAGE RETRIEVAL;

IMAGE RETRIEVAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 29144524861     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2005.850176     Document Type: Article

References (29)

1. Y. Rui and T. S. Huang, "Image retrieval: Current techniques, promising directions and open issues," J. Vis. Commun. Image Represent., vol. 10, pp. 39-62, 1999.
2. A. W.M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, "Content-based image retrieval at the end of the early years," IEEE Trans. Pattern Anal. Mach. Intell., vol 22, no. 12, pp. 1349-1380, Dec. 2000.
3. M. Kokare, B. N. Chatterji, and P. K. Biswas, "A survey on current content based image retrieval methods," IETE J. Res., vol. 48, no. 3&4, pp. 261-271, May-Aug. 2002.
4. B. S. Manjunath and W. Y. Ma, "Texture features for browsing and retrieval of image data," IEEE Trans. Pattern Anal. Mach. Intell., vol. 8, no. 8, pp. 837-842, Aug. 1996.
5. A. Laine and J. Fan, "Texture classification by wavelet packet signature," IEEE Trans. Pattem Anal. Mach. Intell., vol. 15, no. 11, pp. 1186-1191, Nov. 1993.
6. T. Chang and C. C. J. Kuo, "Texture analysis and classification with tree-structured wavelet transform," IEEE Trans. Image Process., vol. 2, no. 4, pp. 429-441, Apr. 1993.
7. G. V. Wouwer, P. Scheunders, and D. V. Dyck, "Stastical texture characterization from discrete wavelet representation," IEEE Trans. Image Process., vol. 8, no. 4, pp. 592-598, Apr. 1999.
8. T. Randen and J. H. Husoy, "Filtering for texture classification: A comparative study," IEEE Trans. Pattern Anal. Mach. Intell., vol. 21, no. 4, pp. 291-310, Apr. 1999.
9. E. P. Simoncelli and J. Portilla, "Texture characterization via joint statistics of wavelet coefficient magnitudes," in Proc. IEEE Int. Conf. Image Processing, Oct. 1998, pp. 62-66.
10. M. N. Do and M. Vetterli, "Wavelet-based texture retrieval using generalized Guassian density and Kullback-leibler distance," IEEE Trans. Image Process., vol. 11, no. 2, pp. 146-158, Feb. 2002.
11. M. Unser, "Texture classification and segmentation using wavelet frames," IEEE Trans. Image Process., vol. 4, no. 11, pp. 1549-1560, Nov. 1995.
12. F. Liu and R. W. Picard, "Periodicity, directionality, and randomness: Wold features for image modeling and retrieval," IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, pp. 722-733, Jul. 1996.
13. R. W. Picard and T. Kabir, "Finding similar patterns in large image databases," in Proc. IEEE Conf. Acoustics, Speech, and Signal Processing, Minneapolis, MN, 1993, pp. V-164.
14. J. Mao and A. K. Jain, "Texture classification and segmentation using multiresolution simultaneous autoregressive models," Pattern Recognit., vol. 25, no. 2, pp. 173-188, 1992.
15. M. Kokare, B. N. Chatterji, and P. K. Biswas, "M-band wavelet based texture features for content based image retrieval," in Proc. Indian Conf. Vision, Graphics, and Image Processing. Ahemadabad, Gujrat, India, Dec. 2002, pp. 173-178.
16. N. G. Kingsbury, "Image processing with complex wavelet," Phil. Trans. Roy. Soc. London A, vol. 357, pp. 2543-2560, Sep. 1999.
17. S. Hatipoglu, S. K. Mitra, and N. Kingsbury, "Image texture description using complex wavelet transform," in Proc. IEEE Int. Conf. Image Processing Vol. II, Sep. 2000, pp. 530-533.
18. I. W. Selesnick, "The design of approximate Hilbert transform pairs of wavelet bases," IEEE Trans. Signal Process., vol. 50, no. 5, pp. 1144-1152, May 2002.
19. M. N. Do and M. Vetterli, "Pyramidal directional filter banks and curvelets," in Proc. IEEE Int. Conf. Image Processing, vol. 3, Oct. 2001, pp. 158-161.
20. R. H. Bamberger and M. J. T. Smith, "A filter bank for the directional decomposition of images: Theory and Design," IEEE Trans. Signal Process., vol. 40, pp. 882-892, Apr. 1992.
21. F. Fernandes, R. Van Spaendock, M. Coates, and S. Burrus, "Directional complex-wavelet processing," in Proc. SPIE, vol. 4119, San Diego, CA, Jul. 2000. Wavelet Applications in Signal and Image Processing VIII.
22. W. T. Freeman and E. H. Adelson, "The design and use of steerable filters," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, pp. 891-906, Sep. 1991.
23. N. D. Kim and S. Udpa, "Texture classification using rotated wavelet filters," IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 30, no. 6, pp. 847-852, Nov. 2000.
24. I. W. Selesnick, "Hilbert transform pairs of wavelet bases," IEEE Signal Process. Lett., vol. 8, no. 6, pp. 170-173, Jun. 2001.
25. P. Brodatz, Textures: A Photographic Album for Artists and Designers. New York: Dover, 1966.
26. MIT Vision and Modeling Group. Vision Texture. [Online]. Available: http://vismod.www.media.mit.edu
27. D. H. Hubel and T. N. Wiesel, "Receptive fields, binocular interaction and functional architecture in the cat's visual cortex," J. Physiol., no. 160, pp. 106-154, 1962.
28. J. Daugman, "Two-dimensional spectral analysis of cortical receptive field profile," Vis. Res., vol. 20, pp. 847-856, 1980.
29. M. Kokare, B. N. Chatterji, and P. K. Biswas, "Wavelet transform based texture features for content based image retrieval," in Proc. 9th Nat. Conf. Communications (NCC 2003), Chennai, India, Jan., Feb. 2003, pp. 443-447.