Texture classification using Ridgelet transform

Proceedings - Sixth International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2005

Volumn , Issue , 2005, Pages 321-326

  Arivazhagan, S ^a   Ganesan, L ^b   Subash Kumar, T G ^a  

^a MEPCO SCHLENK ENGINEERING COLLEGE   (India)

^b ALAGAPPA CHETTIAR COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

Co occurrence features; Radon transform; Ridgelet Transform; Texture classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; MATHEMATICAL TRANSFORMATIONS; TEXTURES; WAVELET TRANSFORMS;

CO-OCCURRENCE FEATURES; RADON TRANSFORMS; RIDGELET TRANSFORMS; TEXTURE CLASSIFICATION;

IMAGE PROCESSING;

EID: 33749416076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIMA.2005.55     Document Type: Conference Paper

References (29)

1. Kaplan, L.M., Extended fractal analysis for texture classification and segmentation, IEEE Transactions on Image Processing, Vol. 8, No. 11, pp.1572-1585, 1999.
2. Chan Y., Kung S. Y., and Lei Z., A Feature-Based Approach for Image Retrieval by Sketch, Proceedings of the SPIE International Symposium on Voice, Video and Data Communications, pp. 220-231, November 1997.
3. nd edition), World Scientific Publishing Co., Chapter 2.1, pp. 207-248, 1998.
4. Haralick R. M., Shanmugam K., Dinstein I., Texture features for image classification, IEEE Transactions on System Man Cybernat, Vol. 8, No. 6, pp. 610-621, 1973.
5. Argenti, F., Alparone, L., and Benelli, G., Fast algorithms for texture analysis using co-occurrence matrices, IEE Proceedings-F, Vol. 137, No. 6, pp. 443-448, December 1990.
6. Kaizer H., A quantification of textures on aerial photographs, Technical Note 121, AD 69484, Boston University Research Laboratory, 1955
7. Tuceryan M. and Jain A. K., Texture Segmentation Using Voronoi Polygons, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-12, pp. 211-216, February 1990.
8. Cross G. R. and Jain A. K., Markov random field texture models, IEEE Transactions on Pattern Analysis Machine Intelligence, Vol. PAMI-5, pp. 25-39, January 1983.
9. Rama Chellappa and Shankar Chatterjee, Classification of textures using Gaussian Markov random fields, IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. ASSP-33, No. 4, pp. 959-963, 1985.
10. Charles. A. Bouman, Markov Random Fields and Stochastic Image Models, IEEE ICIP, October 1995
11. Patrizio Campisi, Alessandro Neri, Gaetano Scarano, Model based rotation invariant texture classification, IEEE International Conference on Image Processing, pp.117-120, 2002.
12. Laws K. L., Rapid texture identification, Proc. SPIE 238, pp.376-380, 1980.
13. Unser. M., Local linear transforms for texture measurements, signal Processing, Vol. 11, pp.61-79, 1986.
14. Bajcsy. R. and Lieberman. L., Texture gradient as a depth cue, Computer Graphics and Image Processing, Vol. 5 No.1, pp. 52-67, 1976.
15. Unser M., Eden M., "Multiresolution feature extraction and selection for texture segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, No.7 pp. 717-728, July 1989
16. Smith J. and Chang S. F., Transform features for texture classification and discrimination in large image databases, IEEE International Conference on Image Processing, 1994.
17. Nicu Sebe and Michael S. Lew, Wavelet based texture classification, IEEE Multimedia, pp. 947 - 950, 2000.
18. DeBrunner. V, Kadiyala, Texture classification using wavelet transform M. Circuits and Systems, 42nd Midwest Symposium, Vol. 2, pp. 1053-1056, 2000.
19. Arivazhagan. S and Ganesan. L., Texture classification using wavelet transform, Pattern Recognition Letters, pp. 1513-1521, 2003.
20. Chang T. and Kuo C., Texture classification with tree-structured wavelet transform. Pattern Recognition Methodology and Systems, Proceedings of the 11th IAPR International Conference, Sept. 1992
21. Chang T. and Kuo C., Texture analysis and classification with tree-structured wavelet transform. IEEE Transactions on Image Processing, Vol. 2, No. 4, pp.429-441, 1993.
22. Serkan Hatipoglu, Sanjit K. Mitra, and Nick Kingsbury, Texture classification using dual-tree complex wavelet transform, IEE Conference on Image Processing and its Applications, No. 465, pp. 344-34, 1999.
23. Moon-Chuen Lee, Chi-Man Pun: Texture Classification Using Dominant Wavelet Packet Energy Features. SSIAI 2000, pp. 301-304, 2000.
24. Rajpoot N. M., Texture Classification Using Discriminant Wavelet Packet Sub-bands. Proceedings of IEEE Midwest Syposium on Circuits and Systems, August 2002.
25. Randen .T. and Husoy J. H., Filtering for Texture Classification: A Comparative Study, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 4, April 1999
26. Minh N. Do and Martin Vetterli, "The Finite Ridgelet Transform for Image Representation", IEEE Transactions on Image Processing, Vol. 12, No. 1, January 2003.
27. Candes E. J. and Donoho D. L., Ridgelets: A key to higher-dimensional intermittency, pp. 2495-2509, 1999.
28. Candes J., Ridgelets: theory and applications, Ph.D. thesis, Department of Statistics, Stanford University, 1998.
29. Deans S. R, The Radon Transform and Some of its Applications, John Wiley & Sons, 1983.