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Texture Classification Using Wavelet-Domain BDIP and BVLC Features With WPCA Classifier  

Kim, Nam-Chul (School of Electronics Engineering, Kyungpook National University)
Kim, Mi-Hye (School of Electronics Engineering, Kyungpook National University)
So, Hyun-Joo (School of Electronics Engineering, Kyungpook National University)
Jang, Ick-Hoon (Department of Avionics Engineering, Kyungwoon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.2, 2012 , pp. 102-112 More about this Journal
Abstract
In this paper, we propose a texture classification using wavelet-domain BDIP (block difference of inverse probabilities) and BVLC (block variance of local correlation coefficients) features with WPCA (whitened principal component analysis) classifier. In the proposed method, the wavelet transform is first applied to a query image. The BDIP and BVLC operators are next applied to the wavelet subbands. Global moments for each subband of BDIP and BVLC are then computed and fused into a feature vector. In classification, the WPCA classifier, which is usually adopted in the face identification, searches the training feature vector most similar to the query feature vector. Experimental results show that the proposed method yields excellent texture classification with low feature dimension for test texture image DBs.
Keywords
Texture classification; feature; BDIP; BVLC; wavelet transform;
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1 M. Tuceryan and A. K. Jain, "Texture analysis," in The Handbook of Pattern Recognition and Computer Vision, 2nd ed., C. H. Chen, L. F. Pau, and P. S. P. Wang, Eds. River Edge, NJ: World Scientific, 1998, pp. 207-248.
2 R. M. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification," IEEE Trans. Syst., Man, Cybern., vol. SMC-3, no. 6, pp. 610-621, Nov. 1973.   DOI
3 B. S. Manjunath and W. Y. Ma, "Texture features for browsing and retrieval of image data," IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, no. 8, pp. 837-842, Aug. 1996.   DOI   ScienceOn
4 M. Unser, "Texture classification and segmentation using wavelet frames," IEEE Trans. Image Process., vol. 4, no. 11, pp. 1549-1560, Nov. 1995.   DOI   ScienceOn
5 D. A. Clausi and H. Deng, "Design-based texture feature fusion using Gabor filters and co-occurrence probabilities," IEEE Trans. Image Process., vol. 14, no. 7, pp. 925-936, Jul. 2005.   DOI
6 S. G. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 11, no. 7, pp. 674-693, Jul. 1989.   DOI   ScienceOn
7 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, Oct. 1993.   DOI   ScienceOn
8 G. V. Wouwer, P. Scheunders, and D. V. Dyck, "Statistical texture characterization from discrete wavelet representation," IEEE Trans. Image Process., vol. 8, no. 4, pp. 592-598, Apr. 1999.   DOI   ScienceOn
9 S. Selvan and S. Ramakrishnan, "SVD-based modeling for image texture classification using wavelet transform," IEEE Trans. Image Process., vol. 16, no. 11, pp. 2688-2696, Nov. 2007.   DOI
10 Z. Z. Wang and J. H. Yong, "Texture analysis and classification with linear regression model based on wavelet transform," IEEE Trans. Image Process., vol. 17, no. 8, pp. 1421-1430, Aug. 2008.   DOI
11 T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971-987, Jul. 2002.   DOI   ScienceOn
12 Y. D. Chun, S. Y. Seo, and N. C. Kim, "Image retrieval using BDIP and BVLC moments," IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 9, pp. 951-957, Sep. 2003.   DOI   ScienceOn
13 Y. D. Chun, N. C. Kim, I. H. Jang, "Content-based image retrieval using multiresolution color and texture features," IEEE Trans. Multimedia, vol. 10, no. 6, pp. 1073-1084, Oct. 2008.   DOI
14 H. J. So, M. H. Kim, and N. C. Kim, "Texture classification using wavelet-domain BDIP and BVLC features," in Proc. 17th European Signal Processing Conf., Glasgow, Scotland, Aug. 2009, pp. 1117-1120.
15 H. J. So, M. H. Kim, Y. S. Chung, and N. C. Kim, "Face detection using sketch operators and vertical symmetry," FAQS-2006, Lecture Notes in Artificial Intelligence, vol. 4027, pp. 541-551, Jun. 2006.
16 Y. A. Ju, H. J. So, N. C. Kim, and M. H. Kim, "Face recognition using local statistics of gradients and correlations," in Proc. 18th European Signal Processing Conf., Aalborg, Denmark, Aug. 2010, pp. 1169-1173.
17 T. D. Nguyen, S. H. Kim, and N. C. Kim, "An automatic body ROI determination for 3D visualization of a fetal ultrasound volume," KES-2005, Lecture Notes in Artificial Intelligence, vol. 3682, pp. 145-153, Sep. 2005.
18 W. S. Lee, N. C. Kim, and I. H. Jang, "Texture feature-based language identification using wavelet-domain BDIP, BVLC, and NRMA features," in Proc. 20th IEEE International Workshop on Machine Learning for Signal Processing, Kittila, Finland, Aug./Sep. 2010, pp. 444-449.
19 C. Liu, "The Bayes decision rule induced similarity measures," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 6, pp. 1086-1090, Jun. 2007.   DOI
20 [Online]. Available: http://vismod.media.mit.edu/vismod/imagery/VisionTexture/vistex.html
21 P. Brodatz, Textures: A Photographic Album for Artists and Designers. New York: Dover, Jun. 1966.