Texture image retrieval using new rotated complex wavelet filters

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Referenz

M. Kokare , P. K. Biswas and B. N. Chatterji: Texture image retrieval using new rotated complex wavelet filters. IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 35, no. 6, pp. 1168-1178, 2005

DOI

http://dx.doi.org/10.1109/TSMCB.2005.850176

Abstract

A new set of two-dimensional (2-D) rotated complex wavelet filters (RCWFs) are designed with complex wavelet filter coefficients, which gives texture information strongly oriented in six different directions (45° apart from complex wavelet transform). The 2-D RCWFs are nonseparable and oriented, which improves characterization of oriented textures. Most texture image retrieval systems are still incapable of providing retrieval result with high retrieval accuracy and less computational complexity. To address this problem, we propose a novel approach for texture image retrieval by using a set of dual-tree rotated complex wavelet filter (DT-RCWF) and dual-tree-complex wavelet transform (DT-CWT) jointly, which obtains texture features in 12 different directions. The information provided by DT-RCWF complements the information generated by DT-CWT. Features are obtained by computing the energy and standard deviation on each subband of the decomposed image. To check the retrieval performance, texture database D1 of 1856 textures from Brodatz album and database D2 of 640 texture images from VisTex image database is created. Experimental results indicates that the proposed method improves retrieval rate from 69.61% to 77.75% on database D1, and from 64.83% to 82.81% on database D2, in comparing with traditional discrete wavelet transform based approach. The proposed method also retains comparable levels of computational complexity.

Extended Abstract

Bibtex

@ARTICLE{1542263,
author={M. Kokare and P. K. Biswas and B. N. Chatterji},
journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
title={Texture image retrieval using new rotated complex wavelet filters},
year={2005},
volume={35},
number={6},
pages={1168-1178},
keywords={content-based retrieval;filtering theory;image retrieval;image texture;trees (mathematics);visual databases;wavelet transforms;2D RCWF;2D rotated complex wavelet filters;DT-CWT;DT-RCWF;VisTex image database;complex wavelet transform;content-based image retrieval;dual-tree rotated complex wavelet filter;dual-tree-complex wavelet transform;texture image retrieval systems;wavelet filter coefficients;Computational complexity;Discrete wavelet transforms;Image databases;Image retrieval;Information filtering;Information filters;Information retrieval;Spatial databases;Two dimensional displays;Wavelet transforms;Complex wavelet transform;content-based image retrieval;rotated complex wavelet filters;texture image retrieval;Algorithms;Artificial Intelligence;Image Enhancement;Image Interpretation, Computer-Assisted;Imaging, Three-Dimensional;Information Storage and Retrieval;Pattern Recognition, Automated;Signal Processing, Computer-Assisted},
doi={10.1109/TSMCB.2005.850176},
url={http://dx.doi.org/10.1109/TSMCB.2005.850176 http://de.evo-art.org/index.php?title=Texture_image_retrieval_using_new_rotated_complex_wavelet_filters },
ISSN={1083-4419},
month={Dec},
}

Used References

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 http://dx.doi.org/10.1006/jvci.1999.0413

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, 2000 http://dx.doi.org/10.1109/34.895972

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, 2002 http://dx.doi.org/10.1080/03772063.2002.11416285

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, 1996 http://dx.doi.org/10.1109/34.531803

A. Laine and J. Fan, "Texture classification by wavelet packet signature", IEEE Trans. Pattern Anal. Mach. Intell., vol. 15, no. 11, pp. 1186-1191, 1993 http://dx.doi.org/10.1109/34.244679

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, 1993

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, 1999 http://dx.doi.org/10.1109/83.753747

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, 1999 http://dx.doi.org/10.1109/34.761261

E. P. Simoncelli and J. Portilla, "Texture characterization via joint statistics of wavelet coefficient magnitudes", Proc. IEEE Int. Conf. Image Processing , pp. 62-66, 1998 http://dx.doi.org/10.1109/ICIP.1998.723417

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, 2002 http://www.signalprocessingsociety.org/

M. Unser, "Texture classification and segmentation using wavelet frames", IEEE Trans. Image Process., vol. 4, no. 11, pp. 1549-1560, 1995 http://dx.doi.org/10.1109/83.469936

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, 1996 http://dx.doi.org/10.1109/34.506794

R. W. Picard and T. Kabir, "Finding similar patterns in large image databases", Proc. IEEE Conf. Acoustics, Speech, and Signal Processing , pp. V-164, 1993 http://dx.doi.org/10.1109/ICASSP.1993.319772

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 http://dx.doi.org/10.1016/0031-3203(92)90099-5

M. Kokare, B. N. Chatterji, and P. K. Biswas, "$M$-band wavelet based texture features for content based image retrieval", Proc. Indian Conf. Vision, Graphics, and Image Processing, pp. 173-178, 2002, ICVGIP 2002

N. G. Kingsbury, "Image processing with complex wavelet", Phil. Trans. Roy. Soc. London A, vol. 357, pp. 2543-2560, 1999 http://dx.doi.org/10.1098/rsta.1999.0447http://dx.doi.org/10.1109/ICIP.2000.899472

S. Hatipoglu, S.http://dx.doi.org/10.1109/ICIP.2000.899472 K. Mitra, and N. Kingsbury, "Image texture description using complex wavelet transform", Proc. IEEE Int. Conf. Image Processing Vol. II, pp. 530-533, 2000

I. W. Selesnick, "The design of approximate Hilbert transform pairs of wavelet bases", IEEE Trans. Signal Process., vol. 50, no. 5, pp. 1144-1152, 2002 http://dx.doi.org/10.1109/78.995070

M. N. Do and M. Vetterli, "Pyramidal directional filter banks and curvelets ", Proc. IEEE Int. Conf. Image Processing, vol. 3, pp. 158-161, 2001 http://dx.doi.org/10.1109/ICIP.2001.958075

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, 1992 http://dx.doi.org/10.1109/78.127960

F. Fernandes, R. Van Spaendock, M. Coates, and S. Burrus, "Directional complex-wavelet processing", Proc. SPIE, vol. 4119, 2000 http://dx.doi.org/10.1117/12.408642

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, 1991 http://dx.doi.org/10.1109/34.93808

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, 2000 http://dx.doi.org/10.1109/3468.895915

I. W. Selesnick, "Hilbert transform pairs of wavelet bases", IEEE Signal Process. Lett., vol. 8, no. 6, pp. 170-173, 2001 http://dx.doi.org/10.1109/97.923042

P. Brodatz, Textures: A Photographic Album for Artists and Designers, 1966, Dover

Vision Texture, [online] Available: online

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 http://dx.doi.org/10.1113/jphysiol.1962.sp006837

J. Daugman, "Two-dimensional spectral analysis of cortical receptive field profile", Vis. Res., vol. 20, pp. 847-856, 1980 http://dx.doi.org/10.1016/0042-6989(80)90065-6

M. Kokare, B. N. Chatterji, and P. K. Biswas, "Wavelet transform based texture features for content based image retrieval", Proc. 9th Nat. Conf. Communications (NCC 2003), pp. 443-447, 2003 http://dx.doi.org/10.1109/ICARCV.2002.1235022


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