Acta Optica Sinica, Volume. 30, Issue 9, 2608(2010)
A Method for MultiCircle Detection Based on Global Search and Evidence Accumulation
[1] [1] M. Blanco, M. G. Penedo, N. Barreira et al.. Localization and extraction of the optic disc using the fuzzy circular Hough transform[C]. Artificial Intelligence and Soft Computing, 2006, 4029: 712~721
[2] [2] T. D′orazio, C. Guaragnellab , M. Leo et al.. A new algorithm for ball recognition using circle Hough transform and neural classifier[J] . Pattern Recognition, 2004, 37(3): 393~408
[7] [7] Huda Loannou D, Laine W et al.. Circle recognition through a 2D Hough transform and radius histogram[J]. Image and Vision Computing, 1999, 17(1): 15~26
[8] [8] Yu Qiao, Ong S. H. Connectivitybased multiple circle fitting[J]. Pattern Recognition, 2004, 37(4): 755~765
[11] [11] Xu L , Oja E. Randomized Hough transform ( RHT): basic mechanisms, algorithms, and computational complexities[J]. CVGIP: Image Understanding, 1993, 57(2): 131~154
[12] [12] Lei Xu, Erkki OJA, Pekka Kultanen. A new curve detection method: randomized Hough transform RHT[J]. Pattern Recognition Letters, 1990, 11(5): 331~338
[13] [13] Chen Tehchuan, Chung Kuoliang. An efficient randomized algorithm for detecting circles[J]. Computer Vision and Image Understanding, 2001, 83(2): 172~191
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Luo Jun, Li Rui, Chen Weimin. A Method for MultiCircle Detection Based on Global Search and Evidence Accumulation[J]. Acta Optica Sinica, 2010, 30(9): 2608
Category: Instrumentation, Measurement and Metrology
Received: Dec. 31, 2009
Accepted: --
Published Online: May. 15, 2014
The Author Email: Jun Luo (E-mail)