Circle detection on images using learning automata

IET Computer Vision

Volumn 6, Issue 2, 2012, Pages 121-132

  Cuevas, E ^a   Wario, F ^a   Zaldivar, D ^a   Perez Cisneros M ^a  

^a UNIVERSITY OF GUADALAJARA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; CIRCLE DETECTION; CIRCULAR SHAPE; DIGITAL IMAGE; EDGE IMAGE; EDGE MAP; LEARNING AUTOMATA; MATCHING FUNCTIONS; NATURAL IMAGES; NOISY IMAGE; OBJECTIVE FUNCTIONS; OPTIMAL DETECTORS; OPTIMISATION METHOD; RANDOM ENVIRONMENT; REINFORCEMENT SIGNAL; VISION COMMUNITIES;

ALGORITHMS; COMPUTER VISION; DETECTORS; EDGE DETECTION; HOUGH TRANSFORMS; IMAGE SEGMENTATION; OPTIMIZATION; REINFORCEMENT; SIGNAL DETECTION;

IMAGE MATCHING;

EID: 84858742926     PISSN: 17519632     EISSN: 17519640     Source Type: Journal    
DOI: 10.1049/iet-cvi.2010.0226     Document Type: Article

References (28)

1. da Fontoura Costa, L., and Marcondes Cesar, R.: 'Shape analysis and classification', (CRC Press, Boca Raton, FL 2001)
2. Muammar, H., and Nixon, M.: 'Approaches to extending the Hough transform', Proc. Int. Conf. on Acoustics, Speech and Signal Processing ICASSP, 1989, 3, p. 1556-1559
3. Atherton, T.J., and Kerbyson, D.J.: 'Using phase to represent radius in the coherent circle Hough transform', Proc. IEE Colloquium on the Hough Transform, 1993
4. Shaked, D., Yaron, O., and Kiryati, N.: 'Deriving stopping rules for the probabilistic Hough transform by sequential analysis', Comput. Vis. Image Underst., 1996, 63, p. 512-52610.1006/cviu.1996.0038 1077-3142
5. Xu, L., Oja, E., and Kultanen, P.: 'A new curve detection method: randomized Hough transform (RHT)', Pattern Recognit. Lett., 1990, 11, (5), p. 331-33810.1016/0167-8655(90)90042-Z 0167-8655
6. Han, J.H., Koczy, L.T., and Poston, T.: 'Fuzzy Hough transform', Proc. Second Int. Conf. on Fuzzy Systems, 1993, 2, p. 803-808
7. Lu, W., and Tan, J.L.: 'Detection of incomplete ellipse in images with strong noise by iterative randomized Hough transform (IRHT)', Pattern Recognit., 2008, 41, (4), p. 1268-127910.1016/j.patcog.2007.09.006 0031-3203
8. Roth, G., and Levine, M.D.: 'Geometric primitive extraction using a genetic algorithm', IEEE Trans. Pattern Anal. Mach. Intell., 1994, 16, (9), p. 901-90510.1109/34.310686 0162-8828
9. Lutton, E., and Martinez, P.: 'A genetic algorithm for the detection 2-D geometric primitives on images', Proc. 12th Int. Conf. on Pattern Recognition, 1994, 1, p. 526-528
10. Yao, J., Kharma, N., and Grogono, P.: 'Fast robust GA-based ellipse detection', Proc. 17th Int. Conf. on Pattern Recognition ICPR-04, Cambridge, UK 2004, p. 859-862
11. Yuen, S., and Ma, C.: 'Genetic algorithm with competitive image labelling and least square', Pattern Recognit., 2000, 33, p. 1949-196610.1016/S0031-3203(99)00189-2 0031-3203
12. Ayala-Ramirez, V., Garcia-Capulin, C.H., Perez-Garcia, A., and Sanchez-Yanez, R.E.: 'Circle detection on images using genetic algorithms', Pattern Recognit. Lett., 2006, 27, p. 652-65710.1016/j.patrec.2005.10.003 0167-8655
13. Ikonen, E., and Najim, K.: 'Online optimization of replacement policies using learning automata', Int. J. Syst. Sci., 2008, 39, (3), p. 237-24910.1080/00207720701750790 0020-7721
14. Beigyab, H., and Meybodibc, M.R.: 'A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks', Int. J. Syst. Sci., 2009, 40, (1), p. 101-11810.1080/00207720802145924 0020-7721
15. Tsetlin, M.L.: 'Automaton theory and modeling of biological systems', (Academic Press, New York 1973)
16. Najim, K., and Poznyak, A.S.: 'Learning automata - theory and applications', (Pergamon Press, Oxford 1994)
17. Seyed-Hamid, Z.: 'Learning automata based classifier', Pattern Recognit. Lett., 2008, 29, p. 40-4810.1016/j.patrec.2007.08.011 0167-8655
18. Zeng, X., Zhou, J., and Vasseur, C.: 'A strategy for controlling non-linear systems using a learning automaton', Automatica, 2000, 36, p. 1517-152410.1016/S0005-1098(00)00066-2 0005-1098
19. Howell, M., and Gordon, T.: 'Continuous action reinforcement learning automata and their application to adaptive digital filter design', Eng. Appl. Artif. Intell., 2001, 14, p. 549-56110.1016/S0952-1976(01)00034-3 0952-1976
20. Wu, Q.H.: 'Learning coordinated control of power systems using inter-connected learning automata', Int. J. Electr. Power Energy Syst., 1995, 17, p. 91-9910.1016/0142-0615(95)91404-8 0142-0615
21. Cuevas, E., Zaldivar, D., and Perez-Cisneros, M.: 'Seeking multi-thresholds for image segmentation with Learning Automata', Mach. Vis. Appl., 2010, 22, (5), p. 805-81810.1007/s00138-010-0249-0
22. Thathachar, M.A.L., and Sastry, P.S.: 'Varieties of learning automata: an overview', IEEE Trans. Syst. Man Cybern. B, Cybern., 2002, 32, p. 711-72210.1109/TSMCB.2002.1049606 1083-4419
23. Zeng, X., and Liu, Z.: 'A learning automaton based algorithm for optimization of continuous complex function', Inf. Sci., 2005, 174, p. 165-17510.1016/j.ins.2004.09.004
24. Beygi, H., and Meybodi, M.R.: 'A new action-set learning automaton for function optimization', Int. J. Franklin Inst., 2006, 343, p. 27-4710.1016/j.jfranklin.2005.07.004
25. Narendra, K.S., and Thathachar, M.A.L.: 'Learning automata: an introduction', (Prentice-Hall, London 1989)
26. Van-Aken, J.R.: 'Efficient ellipse-drawing algorithm', IEEE Comput. Graph. Appl., 1984, 4, (9), p. 24-3510.1109/MCG.1984.275994 0272-1716
27. Kelly, M., and Levine, M.: 'Finding and describing objects in complex images: advances in image understanding', (IEEE Computer Society Press 1997), p. 209-225
28. Chen, T.-C., and Chung, K.-L.: 'An eficient randomized algorithm for detecting circles', Comput. Vis. Image Underst., 2001, 83, p. 172-19110.1006/cviu.2001.0923 1077-3142