Texture classification using curvelet transform

International Journal of Wavelets, Multiresolution and Information Processing

Volumn 5, Issue 3, 2007, Pages 451-464

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

^a MEPCO SCHLENK ENGINEERING COLLEGE   (India)

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

Author keywords

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

Indexed keywords

EDGE DETECTION; FEATURE EXTRACTION; IMAGE CLASSIFICATION; OBJECT RECOGNITION;

CURVELET TRANSFORM; RIDGELET TRANSFORM; TEXTURE CLASSIFICATION;

WAVELET TRANSFORMS;

EID: 34248590000     PISSN: 02196913     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219691307001847     Document Type: Article

References (26)

1. L. M. Kaplan, Extended fractal analysis for texture classification and segmentation, IEEE Trans. Image Process. 8(11) (1999) 1572-1585.
2. Y. Chan, S. Y. Kung and Z. Lei, A feature-based approach for image retrieval by sketch, in Proceedings of the SPIE International Symposium on Voice, Video and Data Communications, Dallas, USA (1997), pp. 220-231.
3. M. Tuceyran and A. K. Jain, Texture analysis, in Handbook of Pattern Recognition and Computer Vision, 2nd edn. (World Scientific Publishing Co., 1998), Chapter 2.1, pp. 207-248.
4. R. M. Haralick, K. Shanmugam and I. Dinstein, Texture features for image classification, IEEE Trans. System Man Cyb. 8(6) (1973) 610-621.
5. H. Kaizer, A quantification of textures on aerial photographs, Technical Note 121, AD 69484, Boston University Research Laboratory (1955).
6. M. Tuceryan and A. K. Jain, Texture segmentation using voronoi polygons, IEEE Trans. Pattern Anal. Mach. Intel. 12 (1990) 211-216.
7. G. R. Cross and A. K. Jain, Markov random field texture models, IEEE Trans. Pattern Anal. Mach. Intel. 5 (1983) 25-39.
8. R. Chellappa and S. Chatterjee, Classification of textures using Gaussian Markov random fields, IEEE Trans. Acoust. Speech Sig. Process. 33(4) (1985) 959-963.
9. P. Campisi, A. Neri and G. Scarano, Model based rotation invariant texture classification, in IEEE International Conference on Image Processing, New York, USA (2002), pp. 117-120.
10. K. L. Laws, Rapid texture identification, Proc. of SPIE 238 (1980) 376-380.
11. M. Unser, Local linear transforms for texture measurements, Signal Process. 11 (1986) 61-79.
12. R. Bajcsy and L. Lieberman, Texture gradient as a depth cue, Computer Graph. Image Process. 5(1) (1976) 52-67.
13. M. Unser and M. Eden, Multiresolution feature extraction and selection for texture segmentation, IEEE Trans. Pattern Anal. Mach. Intel. 11(7) (1989) 717-728.
14. N. Sebe and M. S. Lew, Wavelet based texture classification, in Proc. ICPR'00, Barcelona, Spain, Vol. 3 (2000), pp. 959-962.
15. S Arivazhagan and L. Ganesan, Texture classification using wavelet transform, Pattern Recogn. Lett. 24 (2003) 1513-1521.
16. T. Chang and C. Kuo, Texture classification with tree-structured wavelet transform, in Proc. 11th IAPR Int. Cont. Pattern Recognition, Conf. B Pattern Recognition, Methodology and Systems, The Hague, Netherlands, Vol. 2 (1992) 256-259.
17. T. Chang and C. Kuo, Texture analysis and classification with tree-structured wavelet transform, IEEE Trans. Image Process. 2 4) (1993) 429-441.
18. S. Hatipoglu, S. K. Mitra and N. Kingsbury, Texture classification using dual-tree complex wavelet transform, IEEE Cont. Image Process. Appl. 465 (1999) 344-347.
19. N. M. Rajpoot, Texture classification using discriminant wavelet packet sub-bands, in Proc. 45th IEEE Midwest Symposium on Circuits and Systems, Oklahoma, USA (2002).
20. T. Randen and J. H. Husoy, Filtering for texture classification: A comparative study, IEEE Trans. Pattern Anal. Mach. Intel. 21 4) (1999) 291-310.
21. M. N. Do and M. Vetterli, The finite ridgelet transform for image representation, IEEE Trans. Image Process. 12(1) (2003) 16-28.
22. J. Candes, Ridgelets: Theory and applications, Ph.D. thesis, Department of Statistics, Stanford University (1998).
23. S. R, Deans, The Radon Transform and Some of its Applications (John Wiley Sons, 1983).
24. D. L. Donoho and M. R. Duncan, Digital curvelet transform: Strategy, implementation and experiments, Technical Report, Stanford University (1999).
25. J. L. Starck, E. Candes and D. L. Donoho, The curvelet transform for image denoising, IEEE Trans. Image Process. 11(6) (2002) 670-684.
26. S. Arivazhagan, Some studies on texture image analysis using wavelet transform and its usage in few industrial applications, Ph.D thesis, Manonmaniam Sundaranar University (2004).