A comparative study of feature extraction methods for wood texture classification

Proceedings of the 6th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2010

Volumn , Issue , 2010, Pages 23-29

  Prasetiyo, ^a   Khalid, Marzuki ^b   Yusof, Rubiyah ^b   Meriaudeau, Fabrice ^c  

^a GUNADARMA UNIVERSITY   (Indonesia)

^b FACULTY OF ELECTRICAL ENGINEERING   (Malaysia)

^c UNIVERSITÉ DE BOURGOGNE   (France)

Author keywords

Classification; Feature; Pattern; Texture; Wood

Indexed keywords

CLASSIFICATION; CLASSIFICATION PERFORMANCE; CLASSIFICATION RATES; CLASSIFICATION TECHNIQUE; COMPARATIVE STUDIES; DATA SETS; FEATURE; FEATURE EXTRACTION AND CLASSIFICATION; FEATURE EXTRACTION METHODS; GRANULOMETRIES; GRAY LEVEL CO-OCCURRENCE MATRIX; GROUND TRUTH; K-NEAREST NEIGHBORS; LOCAL BINARY PATTERNS; PATTERN; RUNNING TIME; TEXTURE CLASSIFICATION; TEXTURE IMAGE;

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DATA PROCESSING; FEATURE EXTRACTION; INTERNET; NEURAL NETWORKS; TEXTURES; WOOD;

IMAGE PROCESSING;

DATA PROCESSING; IMAGE ANALYSIS; INTERNET; NEURAL NETWORKS; PATTERN RECOGNITION; TEXTURE; WOOD;

EID: 79952544931     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SITIS.2010.15     Document Type: Conference Paper

References (19)

1. Mohamed Aly. Survey on multiclass classification methods. November 2005.
2. Tianhorng Chang and C.-C. Jay Kuo. Texture analysis and classification with tree-structured wavelet transform. IEEE Transaction on Image Processing, 2(4):429-441, October 1993.
3. E. de Ves, X. Benavent, G. Ayala, and J. Domingo. Selecting the structuring element for morphological texture classification. Pattern Analysis and Applications, 9:48-57, 2006. (Pubitemid 43823165)
4. R.P.W Duin, P. Juszczak, P. Packlik, E. Pekalska, D. de Ridder, D.M.J. Tax, and S. Verzakov. PRTools4.1, A Matlab Toolbox for Pattern Recognition. Delft University of Technology, 2007.
5. Cordova Florian. Wood recognition. Technical report, Universite de Bourgogne, 2009.
6. Clment Fredembach and Graham Finlayson. The 1.5d sieve algorithm. Pattern Recognition Letters, 29:629-636, 2008.
7. Robert M. Haralick, K. Shanmugam, and Its'hak Dinstein. Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, SMC-3(6):610-621, November 1973.
8. S. Livens, P. Scheunder, G. van de Wouwer, and D. van Dyck. Wavelet for texture analysis. Int. Journal of Computer Science and Information Management, Special issue on Image Processing (IJCSIM), 1, January 1997.
9. Stefan Livens, Paul Scheunders, Gert Van de Wouwer, Dirk Van Dyck, Hilde Smets, Johan Winkelmans, and Walter Bogaerts. A texture analysis approach to corrosion image classification. Microscopy, Microanalysis, Microstructures, 7:143-152, 1996. (Pubitemid 126838160)
10. Matteo Masotti and Renato Campanini. Texture classification using invariant ranklet features. Pattern Recognition Letter, 29(14):1980-1986, 2008.
11. Timo Ojala, Matti Pietikainen, and David Harwood. Comparative study of texture measures with classification based on feature distributions. In Pattern Recognition, volume 29, pages 51-59. Pattern Recognition Society, Elsevier Science, 1996.
12. Timo Ojala, Matti Pietikainen, and Topi Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(7):971-987, July 2002. (Pubitemid 34835471)
13. N.G. Shankar and Z.W. Zhong. Improved segmentation of semiconductor defects using area sieves. Machine Vision and Applications, 17(1):1-7, February 2006.
14. Fabrizio Smeraldi. Fast algoritms for the computation of ranklets. ICIP, November 2009.
15. Paul Southam and Richard Harvey. Compact rotationinvariant texture classification. In ICIP, pages 3033-3036, 2004.
16. Paul Southam and Richard Harvey. Texture granularities. In ICIAP, pages 304-311, 2005. (Pubitemid 43901990)
17. Motofumi T. Suzuki, Yoshitomo Yaginuma, and Haruo Kodama. A 2d texture image retrieval technique based on texture energy filters. In International Conference on Imaging Theory and Applications, pages 145-151, 2009.
18. Xianghua Xie and Majid Mirmehdi. A galaxy of texture features. In Majid Mirmehdi, Xianghua Xie, and Jasjit Suri, editors, Handbook of Texture Analysis, pages 375-406. Imperial College Press, December 2008.
19. Mohammed Abu Zalata and Ziad Alqadi. Separating low and high pass frequencies in the image without loosing information. American Journal of Applied Sciences, 4(4):237-244, 2007.