Automatic system for quality-based classification of marble textures

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 35, Issue 4, 2005, Pages 488-497

  Martínez Alajarín, Juan ^a   Luis Delgado, José D ^b   Tomás Balibrea, Luis M ^b  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

^b UNIVERSITY OF MURCIA   (Spain)

Author keywords

Artificial neural networks; Marble surfaces; Pattern classification; Principal component analysis; Sum and difference histograms; Texture analysis

Indexed keywords

BACKPROPAGATION; COLOR IMAGE PROCESSING; FEATURE EXTRACTION; IMAGE ANALYSIS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

MARBLE SURFACES; SUM AND DIFFERENCE HISTOGRAMS; TEXTURE ANALYSIS;

PATTERN RECOGNITION SYSTEMS;

EID: 27844497587     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2004.843236     Document Type: Article

References (28)

1. V. Garcerán-Hernández, L. G. García-Pérez, P. Clemente-Pérez, L. M. Tomás-Balibrea, and H. D. Puyosa-Piña, "Traditional and neural networks algorithms: Applications to the inspection of marble slabs," in IEEE Int. Conf. Systems, Man, and Cybernetics, Vancouver, BC, Canada, 1995, pp. 3960-3965.
2. P. Clemente-Pérez, V. Garcerán-Hernández, H. D. Puyosa-Piña, and L. M. Tomás-Balibrea, "Automatic system to quality control: Using artificial vision and neural nets for classification of marble slabs in production line," in Proc. Int. Symp. Artificial Neural Networks, Taiwan, R.O.C., 1995, pp. E3.26-E3.31.
3. J. Martínez-Alajarín and L. M. Tomás-Balibrea, "Automatic classification system of marble slabs in production line according to texture and color using artificial neural networks," in Proc. 8th lnt. Conf. Computer Analysis of Images and Patterns, Ljubljana, Slovenia, Sep. 1999, pp. 167-174.
4. F. Lumbreras and J. Serrat, "Segmentation of petrographical images of marbles," Comput. Geosci., vol. 22, no. 5, pp. 547-558, Jun. 1996.
5. M. Deviren, M. K. Balci, U. M. Leloglu, and M. Severcan, "A feature extraction method for marble tile classification," in Proc. 3rd Int. Conf. Computer Vision, Pattern Recognition, and Image Processing, Atlantic City, NJ, 2000, pp. 25-28.
6. L. Shafarenko, M. Petrou, and J. Kittler, "Automatic watershed segmentation of randomly textured color images," IEEE Trans. Image Process., vol. 6, no. 11, pp. 1530-1543, Nov. 1997.
7. J. Chang, G. Han, J. M. Valverde, N. C. Griswold, J. F. Duque-Carrillo, and E. Sánchez-Sinencio, "Cork quality classification system using a unified image processing and fuzzy-neural network methodology," IEEE Trans. Neural Netw., vol. 8, no. 4, pp. 964-974, Jul. 1997.
8. P. R. Drake and M. S. Packianather, "A decision tree of neural networks for classifying images of wood veneer," Int. J. Adv. Manuf. Technol., vol. 14, pp. 280-285, 1998.
9. M. S. Packianather and P. R. Park, "Neural networks for classifying images of wood veneer, part II," Int. J. Adv. Manuf. Technol., vol. 16, pp. 424-433, 2000.
10. K. V. Ramana and B. Ramamoorthy, "Statistical methods to compare the texture features of machined surfaces," Pattern Recognit., vol. 29, pp. 1447-1459, 1996.
11. C. Boukouvalas, F. D. Natale, G. D. Toni, J. Kittler, R. Marik, M. Mirmehdi, M. Petrou, P. L. Roy, R. Salgari, and G. Vernazza, "ASSIST: Automatic system for surface inspection and sorting of tiles," J. Mater. Process. Technol., vol. 82, no. 1-3, pp. 179-188, Oct. 1998.
12. D.-M. Tsai and T.-Y. Huang, "Automated surface inspection for statistical textures," Image Vis. Comput., vol. 21, pp. 307-323, 2003.
13. R. T. Chin and C. A. Harlow, "Automated visual inspection: A survey," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-4, no. 6, pp. 557-573, Jun. 1982.
14. T. S. Newman and A. K. Jain, "A survey of automated visual inspection," Comput. Vis. Image Understand., vol. 61, no. 2, pp. 231-262, 1995.
15. E. N. Malamas, E. G. M. Petrakis, M. Zervakis, L. Petit, and J.-D. Legat, "A survey on industrial vision systems, applications, and tools," Image Vis. Comput., vol. 21, pp. 171-188, 2003.
16. M. Unser, "Sum and difference histograms for texture classification," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-8, no. 1, pp. 118-125, Jan. 1986.
17. H. D. Cheng, X. H. Jiang, Y. Sun, and J. Wang, "Color image segmentation: Advances and prospects," Pattern Recognit., vol. 34, pp. 2259-2281, 2001.
18. Y. I. Ohta, T. Kanade, and T. Sakai, "Color information for region segmentation," Comput. Graph. Image Process., vol. 13, pp. 222-241, 1980.
19. 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.
20. R. M. Haralick, "Statistical and structural approaches to texture," Proc. IEEE, vol. 67, no. 5, pp. 786-804, May 1979.
21. C. C. Gotlieb and H. E. Kreyszig, "Texture descriptors based on co-occurrence matrices," Comput. Vis., Graph., Image Process., vol. 51, pp. 70-86, 1990.
22. M. Sharma, "Performance evaluation of image segmentation and texture extraction methods in scene analysis," Ph.D. dissertation, Dept. Comp. Sci., Univ. Exeter, Exeter, U.K., 2001.
23. G. Paschos and M. Petrou, "Histogram ratio features for color texture classification," Pattern Recognit. Lett., vol. 24, pp. 309-314, 2003.
24. Y.-C. Cheng and S.-Y. Chen, "Image classification using color, texture, and regions," Image Vis. Comput., vol. 21, pp. 759-776, 2003.
25. R. E. Bellman, Adaptive Control Processes: A Guided Tour. Princeton, NJ: Princeton Univ. Press, 1961.
26. S. Wold, K. Esbensen, and P. Geladi, "Principal component analysis," Chemometr. Intell. Lab. Syst., vol. 2, pp. 37-52, 1987.
27. A. R. Feinstein, "On the sensitivity, specificity, and discrimination of diagnostic tests," Clin. Pharm. Ther., vol. 17, no 1, pp. 104-116, 1975.
28. J. D. Luis-Delgado, J. Martínez-Alajarín, and L. M. Tomás-Balibrea, "Classification of marble surfaces using wavelets," Electron. Lett., vol. 39, no. 9, pp. 714-715, 2003.