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Noël Bonnet
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2000 – 2009
- 2005
- [c6]Lynda Dib, Zahia Guessoum, Noël Bonnet, Mohamed Tayeb Laskri:
Multi-agent System Simulating Tumoral Cells Migration. Australian Conference on Artificial Intelligence 2005: 624-632 - 2004
- [j6]Noël Bonnet, Manuela Matos, Myriam Polette
, Jean-Marie Zahm, Béatrice Nawrocki-Raby
, Philippe Birembaut:
A density-based cellular automaton model for studying the clustering of noninvasive cells. IEEE Trans. Biomed. Eng. 51(7): 1274-1276 (2004) - [c5]Danielle Nuzillard, Noël Bonnet:
BSS for Series of Electron Energy Loss Spectra. ICA 2004: 1150-1157 - 2002
- [j5]Noël Bonnet:
An unsupervised generalized Hough transform for natural shapes. Pattern Recognit. 35(5): 1193-1196 (2002) - [j4]Noël Bonnet, Jérôme Cutrona, Michel Herbin
:
A 'no-threshold' histogram-based image segmentation method. Pattern Recognit. 35(10): 2319-2322 (2002) - 2001
- [j3]Michel Herbin
, Noël Bonnet, Philippe Vautrot:
Estimation of the number of clusters and influence zones. Pattern Recognit. Lett. 22(14): 1557-1568 (2001) - [c4]Jérôme Cutrona, Noël Bonnet:
Two Methods for Semi-automatic Image Segmentation based on Fuzzy Connectedness and Watersheds. VIIP 2001: 467-471 - [c3]Noël Bonnet, Jérôme Cutrona:
Improvement of Unsupervised Multi-component Image Segmentation through Fuzzy Relaxation. VIIP 2001: 477-482 - 2000
- [c2]Philippe Vautrot, Anne Ricordeau, Noël Bonnet:
Wavelet-based denoising from multiple noisy realizations: preliminary experiments. Electronic Imaging: Nonlinear Image Processing 2000
1990 – 1999
- 1996
- [j2]Laurent Lucas, F. Trunde, Noël Bonnet:
Time-dependent 3D Data Sets Rendering: an Extension of the Morphing Technique. Comput. Animat. Virtual Worlds 7(4): 193-209 (1996) - [j1]Michel Herbin
, Noël Bonnet, Philippe Vautrot:
A clustering method based on the estimation of the probability density function and on the skeleton by influence zones. Application to image processing. Pattern Recognit. Lett. 17(11): 1141-1150 (1996) - [c1]Philippe Vautrot, Noël Bonnet, Michel Herbin:
Comparative study of different spatial/spatial-frequency methods (Gabor filters, wavelets, wavelets packets) for texture segmentation/classification. ICIP (3) 1996: 145-148
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