Multiresolution filtering and segmentation of multispectral images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4847, Issue , 2002, Pages 354-361

  Murtagh, F ^a   Collet, C ^b   Louys, M ^b   Starck, J L ^c  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b UNIVERSITÉ DE STRASBOURG   (France)

^c UNIVERSITÉ PARIS DIDEROT   (France)

Author keywords

Filtering; Markov model; Multiband image; Noise model; Segmentation; Wavelet transform

Indexed keywords

ASTRONOMY; CAMERAS; OPTICAL TELESCOPES; WAVELET TRANSFORMS;

MULTIRESOLUTION FILTERING;

IMAGE SEGMENTATION;

EID: 0038640200     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.461125     Document Type: Conference Paper

References (12)

1. J. Starck, F. Murtagh, and A. Bijaoui, Image and Data Analysis: The Multiscale Approach, Cambridge University Press, 1998.
2. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images," IEEE Trans. Pattern Analysis and Machine Intelligence PAMI-6, pp. 721-741, November 1984.
3. C. Graffigne, F. Heitz, P. Pérez, F. Prêteux, M. Sigelle, and J. Zérubia, "Hierarchical Markov random field models applied to image analysis: a review," in SPIE Neural Morphological and Stochastic Methods in Image and Signal Processing, 2568, pp. 2-17, (San Diego), 10-11 July 1995.
4. P. Pérez and F. Heitz, "Restriction of a Markov Random Field on a graph and multiresolution statistical image modeling," IEEE Trans. Information Theory 42:1, pp. 180-190, 1996.
5. C. Bouman and M. Shapiro, "A multiscale random field model for Bayesian image segmentation," IEEE Trans. Image Processing 3(2), pp. 162-177, 1994.
6. Z. Kato, M. Berthod, and J. Zérubia, "A hierarchical Markov random field model and multitemperature annealing for parallel image classification," Graphical Models and Image Processing 58(1), pp. 18-37, 1996.
7. M. Mignotte, C. Collet, P. Pérez, and P. Bouthemy, "Sonar image segmentation using an unsupervised hierarchical mrf model," IEEE Trans. Image Processing 9, pp. 1-17, July 2000.
8. M. Luettgen, W. Karl, A. Willsky, and R. Tenney, "Multiscale representation of markov random fields," IEEE Trans. Image Processing 41, pp. 3377-3395, December 1993.
9. J.-M. Laferté, P. Pérez, and F. Heitz, "Discrete markov image modeling and inference on the quad-tree," IEEE Trans. Image Processing 9, pp. 390-404, March 2000.
10. P. Rostaing, J.-N. Provost, and C. Collet, "Unsupervised multispectral image segmentation using generalized Gaussian noise model," in Proc. International Workshop EMMCVPR'99: Energy Minimisation Methods in Computer Vision and Pattern Recognition, 1654(Springer-Verlag), pp. 141-156, (York, UK), July 1999.
11. C. Collet, M. Louys, J.-N. Provost, and A. Oberto, "Fusion of astronomical multiband images on a Markovian quadtree," Information Fusion, http://www.fusion2002.org, July 2002. Annapolis, Maryland, USA.
12. J. Starck and F. Murtagh, "Astronomical image and signal processing: looking at noise, information and scale," IEEE Signal Processing Magazine 18, pp. 30-40, March 2001.