Genetic programming for edge detection via balancing individual training images

2012 IEEE Congress on Evolutionary Computation, CEC 2012

Volumn , Issue , 2012, Pages

  Fu, Wenlong ^a   Johnston, Mark ^a   Zhang, Mengjie ^a  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTION PERFORMANCE; EDGE DETECTORS; FITNESS FUNCTIONS; TRAINING IMAGE;

EDGE DETECTION; GENETIC PROGRAMMING; HEALTH; LEARNING ALGORITHMS; PIXELS;

DETECTORS;

EID: 84866851046     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2012.6252879     Document Type: Conference Paper

References (13)

1. G. Papari and N. Petkov, "Edge and line oriented contour detection: state of the art," Image Vision Computing, vol. 29, pp. 79-103, 2011.
2. D. Martin, C. Fowlkes, and J. Malik, "Learning to detect natural image boundaries using local brightness, color, and texture cues," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 5, pp. 530-549, 2004.
3. C. Harris and B. Buxton, "Evolving edge detectors with genetic programming," in Proceedings of the First Annual Conference on Genetic Programming, 1996, pp. 309-314.
4. R. Poli, "Genetic programming for image analysis," in Proceedings of the First Annual Conference on Genetic Programming, 1996, pp. 363-368.
5. Y. Zhang and P. I. Rockett, "Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection," in Proceedings of the Conference on Genetic and Evolutionary Computation, 2005, pp. 795-802.
6. W. Fu, M. Johnston, and M. Zhang, "Genetic programming for edge detection: a global approach," in Proceeding of the IEEE Congress on Evolutionary Computation, 2011, pp. 254-261.
7. -, "Genetic programming for edge detection based on accuracy of each training image," in 24th Australasian Joint Conference on Artificial Intelligence, 2011, pp. 301-310.
8. R. Haralick and J. Lee, "Context dependent edge detection and evaluation," Pattern Recognition, vol. 23, no. 1-2, pp. 1-19, 1992.
9. N. Fernändez-Garcïa, A. Carmona-Poyato, R. Medina-Carnicer, and F. Madrid-Cuevas, "Automatic generation of consensus ground truth for the comparison of edge detection techniques," Image and Vision Computing, vol. 26, no. 4, pp. 496-511, 2008.
10. M. Ebner, "On the edge detectors for robot vision using genetic programming," in Horst-Michael Groβ, Workshop SOAVE 97 - Selbstorganisation von Adaptivem Verhalten, 1997, pp. 127-134.
11. E. Bolis, C. Zerbi, P. Collet, J. Louchet, and E. Lutton, "A GP artificial ant for image processing: preliminary experiments with EASEA," in Proceedings of the 4th European Conference on Genetic Programming, 2001, pp. 246-255.
12. R. Moreno, D. Puig, C. Julia, and M. Garcia, "A new methodology for evaluation of edge detectors," in 16th IEEE International Conference on Image Processing (ICIP), 2009, pp. 2157-2160.
13. S. Holm, "A simple sequentially rejective multiple test procedure," Scandinavian Journal of Statistics, vol. 6, no. 2, pp. 65-70, 1979.