Open Access
| Issue |
2013
16th International Congress of Metrology
|
|
|---|---|---|
| Article Number | 08002 | |
| Number of page(s) | 7 | |
| Section | Forme et Etat de surface / Surface texture and Form | |
| DOI | https://doi.org/10.1051/metrology/201308002 | |
| Published online | 07 October 2013 | |
- J. Serra, Image Analysis and Mathematical Morphology Vol. I., Academic Press, London, 1982 [Google Scholar]
- J. Serra, Image Analysis and Mathematical Morphology Vol. II: Theoretical Advances, Academic Press, London, 1988 [Google Scholar]
- R. Goldenberg, R. Kimmel, E. Rivlin, M. Rudzsky, “Fast Geodesic Active Contours”, IEEE Trans. Image Proc., 10(10), (2001) [Google Scholar]
- N. Paragios, R. Deriche, “Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects”, IEEE Trans. PAMI, 22(3), (2000) [Google Scholar]
- W. Gander, G.H. Golub, R. Strebel, “Least-squares fitting of circles and ellipses”, BIT, 34, (1994) [Google Scholar]
- N. Chernov, C. Lesort, “least-squares fitting of circles and lines”, Computer vision and pattern recognition, (2003) [Google Scholar]
- D.S Luo, P. Smart, J.E.S. Macleod, “Circular hough transform for roundness measurement of objects”, Pattern recognition, 28(11), (1995) [Google Scholar]
- S. Chiu, J. Liaw, “An effective voting method for circle detection”, Pattern recognition letters, 26(2), (2005) [Google Scholar]
- F. Mairesse, T. Sliwa, S. Binczak, Y. Voisin, “Subpixel determination of imperfect circles characteristics", Elsevier Pattern Recognition, 41 (1), 2008 [Google Scholar]
- H. Kim, J. Kim, “A two-step circle detection algorithm from the intersecting chords”, Pattern recognition letters, 22, (2001) [Google Scholar]
- M.A. Branch, T.F. Coleman, Y. Li, “A subspace, interior, and conjugate gradient method for largescale bound-constrained minimization problems”, SIAM Journal of scientific computing, 21(1), (1999) [CrossRef] [Google Scholar]
- S. Binczak, T. Sliwa, S. Jacquir, J.-M. Bilbault, "Reaction-Diffusion Network For Geometric Multiscale High Speed Image Processing", Image and Vision Computing, 28, 2010 [Google Scholar]