Image descriptor: A genetic programming approach to multiclass texture classification

2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

Volumn , Issue , 2015, Pages 2460-2467

  Al Sahaf, Harith ^a   Zhang, Mengjie ^a   Johnston, Mark ^a   Verma, Brijesh ^b  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

^b CENTRAL QUEENSLAND UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FEATURE EXTRACTION; GENETIC ALGORITHMS; GENETIC PROGRAMMING;

CLASSIFICATION TASKS; FEATURE EXTRACTION METHODS; INSTANCE-BASED CLASSIFIERS; MATHEMATICAL FORMULAS; PROMINENT FEATURES; REPETITIVE PATTERN; TEXTURE CLASSIFICATION; TEXTURE PRIMITIVES;

CLASSIFICATION (OF INFORMATION);

EID: 84962269409     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2015.7257190     Document Type: Conference Paper

References (39)

1. M. Tuceryan and A. K. Jain, "Texture analysis," in Handbook of Pattern Recognition & Computer Vision, C. H. Chen, L. F. Pau, and P. S. P. Wang, Eds. World Scientific, 1993, pp. 235-276.
2. L. Liu, L. Zhao, Y. Long, G. Kuang, and P. Fieguth, "Extended local binary patterns for texture classification," Image and Vision Computing, vol. 30, no. 2, pp. 86-99, 2012.
3. T. Ojala, M. Pietikaïnen, and D. Harwood, "A comparative study of texture measures with classification based on feature distributions," Pattern Recognition, vol. 29, no. 1, pp. 51-59, 1996.
4. D. G. Lowe, "Object recognition from local scale-invariant features," in Proceedings of the International Conference on Computer Vision. IEEE, 1999, pp. 1150-1157.
5. H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, "Speeded-up robust features (SURF)," Computer Vision and Image Understanding, vol. 110, no. 3, pp. 346-359, 2008.
6. E. Tola, V. Lepetit, and P. Fua, "Daisy: An efficient dense descriptor applied to wide-baseline stereo," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 5, pp. 815-830, 2010.
7. J. R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection. mit Press, 1992.
8. C. B. Perez and G. Olague, "Evolutionary learning of local descriptor operators for object recognition," in Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation. ACM, 2009, pp. 1051-1058.
9. W. Albukhanajer, J. Briffa, and Y. Jin, "Evolutionary multiobjective image feature extraction in the presence of noise," IEEE Transactions on Cybernetics, pp. 1-12, 2014, DOI:10.1109/TCYB.2014.2360074.
10. A. Song, T. Loveard, and V. Ciesielski, "Towards genetic programming for texture classification," in Proceedings of the 14th Australian Joint Conference on Artificial Intelligence, ser. Lecture Notes in Computer Science, vol. 2256. Springer, 2001, pp. 461-472.
11. M. Zhang and V. Ciesielski, "Genetic programming for multiple class object detection," in Proceedings of the 12th Australian Joint Conference on Artificial Intelligence, ser. Lecture Notes in Computer Science, vol. 1747. Springer, 1999, pp. 180-192.
12. W. A. Tackett, "Genetic programming for feature discovery and image discrimination," in Proceedings of the 5th International Conference on Genetic Algorithms, 1993, pp. 303-311.
13. T. Loveard and V. Ciesielski, "Representing classification problems in genetic programming," in Proceedings of the IEEE Congress on Evolutionary Computation, vol. 2. IEEE, 2001, pp. 1070-1077.
14. L. Trujillo and G. Olague, "Automated design of image operators that detect interest points," Evolutionary Computation, vol. 16, no. 4, pp. 483-507, 2008.
15. G. Olague and L. Trujillo, "A genetic programming approach to the design of interest point operators," in Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, ser. Studies in Computational Intelligence. Springer, 2009, vol. 256, pp. 49-65.
16. -, "Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming," Image and Vision Computing, vol. 29, no. 7, pp. 484-498, 2011.
17. S. Hindmarsh, P.,reae, and M. Zhang, "Genetic programming for improving image descriptors generated using the scale-invariant feature transform," in Proceedings of the 27th International Conference on Image and Vision Computing New Zealand. ACM, 2012, pp. 85-90.
18. L. Shao, L. Liu, and X. Li, "Feature learning for image classification via multiobjective genetic programming," IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 7, pp. 1359-1371, 2014.
19. A. Kadyrov and M. Petrou, "The trace transform as a tool to invariant feature construction," in Proceedings of the 14th International Conference on Pattern Recognition, vol. 2. IEEE, 1998, pp. 1037-1039.
20. H. Al-Sahaf, M. Zhang, and M. Johnston, "Genetic programming for multiclass texture classification using a small number of instances," in Proceedings of the 10th International Conference on Simulated Evolution and Learning, ser. Lecture Notes in Computer Science, vol. 8886. Springer-Verlag, 2014, pp. 335-346.
21. -, "Genetic programming evolved filters from a small number of instances for multiclass texture classification," in Proceedings of the 29th International Conference on Image and Vision Computing New Zealand. ACM, 2014, pp. 84-89.
22. E. Fix and J. Hodges, "Discriminatory analysis-nonparametric discrimination: Consistency properties," USAF School of Aviation Medicine, Randolf Field, Texas, Tech. Rep. 4, 1951.
23. D. J. Montana, "Strongly typed genetic programming," Evolutionary Computation, vol. 3, no. 2, pp. 199-230, 1995.
24. D.,routsos, K. Plataniotis, and A. Venetsanopoulos, "Distance measures for color image retrieval," in Proceedings of the International Conference on Image Processing, vol. 2. IEEE, 1998, pp. 770-774.
25. P. Brodatz, Textures: A Photographic Album for Artists and Designers. Dover Publications, 1999.
26. G. Kylberg, "The Kylberg texture dataset v. 1.0," Centre for Image Analysis, Swedish University of Agricultural Sciences and Uppsala University, Uppsala, Sweden, External report (Blue series) 35, 2011.
27. T. Ojala, M. Pietikaïnen, and D. Harwood, "Performance evaluation of texture measures with classification based on Kullback discrimination of distributions," in Proceedings of the 12th International Conference on Pattern Recognition, vol. 1. IEEE, 1994, pp. 582-585.
28. T. Ojala, M. Pietikaïnen, and T. Maënpää, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971-987, 2002.
29. R. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification," IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-3, no. 6, pp. 610-621, 1973.
30. M. Zhang, V. Ciesielski, and P.,reae, "A domain-independent window approach to multiclass object detection using genetic programming," EURASIP Journal on Advances in Signal Processing, vol. 2003, no. 8, pp. 841-859, 2003.
31. I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed. Morgan Kaufmann, 2005.
32. S. Luke, Essentials of Metaheuristics, 2nd ed. Lulu, 2013. [Online]. Available: http://cs.gmu.edu/-sean/book/metaheuristics/
33. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, "The WEKA data mining software: An update," SIGKDD Explorations Newsletter, vol. 11, no. 1, pp. 10-18, 2009.
34. P. Whigham and G. Dick, "Implicitly controlling bloat in genetic programming," IEEE Transactions on Evolutionary Computation, vol. 14, no. 2, pp. 173-190, 2010.
35. G. Lappas, "Estimating the size of neural networks from the number of available training data," in Proceedings of the 17th International Conference on Artificial Neural Networks. Springer-Verlag, 2007, pp. 68-77.
36. S. Keerthi and C.-J. Lin, "Asymptotic behaviors of support vector machines with Gaussian kernel," Neural Computation, vol. 15, no. 7, pp. 1667-1689, 2003.
37. G. Holmes, B. Pfahringer, R. Kirkby, E. Frank, and M. Hall, "Multiclass alternating decision trees," in Proceedings of the 13th European Conference on Machine Learning. Springer, 2002, pp. 161-172.
38. J. Demsar, "Statistical comparisons of classifiers over multiple data sets," Journal of Machine Learning Research, vol. 7, pp. 1-30, 2006.
39. F. Wilcoxon, "Individual comparisons by ranking methods," Biometrics Bulletin, vol. 1, no. 6, pp. 80-83, 1945.