Champs de Markov cachés flous et segmentation d'images

 Access to full text

 Full (PDF)

1. [1] Bharathi Devi B. & Sarma V.V.S. (1985) «Estimation of fuzzy memberships from histograms ». Information Sciences35, pp. 43 - 59. Zbl0566.68069
2. [2] Braathen B. & Pieczynski W. & Masson P. (1993) « Global and local methods of unsupervised Bayesian segmentation of images ». Machine Graphics & Vision, Vol. 2, No. 1, pp. 39- 52. 
3. [3] Caillol H. & Pieczynski W. (1992) « Fuzzy statistical unsupervised image segmentation ». Proceedings of IGARSS'92, Houston, Texas, Mai 92. 
4. [4] Caillol H. & Hillion A. & Pieczynski W. (1993) « Fuzzy random fields and unsupervised image segmentation». IEEE Transactions on Geoscience and Remote Sensing, Vol. 31, No 4, pp. 801-810. 
5. [5] Casas J.R. & Hillion A. & Roux C. & Torres L. & Gasull A. «Fuzzy classification of remote sensing images : a pseudocolor representation of fuzzy partitions ». Conf. on Neural and Stochastic Methods in Image and Signal Processing, à paraître. 
6. [6] Celeux G. & Diebold J. (1986) L'algorithme SEM : un algorithme d'apprentissage probabiliste pour la reconnaissance de mélanges de densités. Revue de Statistique Appliquée, Vol. 34, No 2. Zbl0607.62037
7. [7] Feng J. & Lin W. & Chen C. (1991) Epicardial boundary detection using fuzzy reasoning. IEEE Transactions on MI, Vol. 10, No 2, pp. 187-199. 
8. [8] Gath I. & Geva A.B. (1989) Unsupervised optimal fuzzy clustering. IEEE transactions on PAMI, Vol. 11, No 7, pp. 773 - 781. Zbl0709.62592
9. [9] Geman S. & Geman D. (1984) Stochastic Relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence6, pp. 721-741. Zbl0573.62030
10. [10] Gu T. & Dubuisson B. (1990) Similarity of classes and fuzzy clustering. Fuzzy Sets and Systems34, pp. 213- 221. Zbl0689.68106MR1038871
11. [11] Guyon X. (1993) Champs aléatoires sur un réseau. Collection Techniques Stochastiques, Masson, Paris. 
12. [12] Hillion A. (1992) Les approches statistiques pour la reconnaissance des images de télédétection. Atti della XXXVI Riunione Scientifica, SIS, Vol. 1, pp. 287-297. 
13. [13] Hunstberger T.L. & Jacobs C.L. & Cannon R.L. (1985) Iterative fuzzy image segmentation. Pattern Recognition Vol. 18, No 2, pp. 131-138. 
14. [14] Kent J.T. & Mardia K.V. (1991) Spatial classification using fuzzy membership. IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 10, No 5. Zbl0661.62055
15. [ 15] Marhic N. & Masson P. & Pieczynski W. (1991) Mélange de lois et segmentation non supervisée des données SPOT. Statistique et Analyse des Données, Vol. 16, No 2. 
16. [16] Marroquin J. & Mitter S. & Poggio T. (1987) Probabilistic solution of ill-posed problems in computational vision. Journal of the American Statistical Association - 82 - pp. 76- 89. Zbl0641.65100
17. [17] Masson P. & Pieczynski W. (1993) SEM algorithm and unsupervised segmentation of satellite images. IEEE Transactions on Geoscience and Remote Sensing, Vol. 31, No 3, pp. 618- 633. 
18. [18] Pedrycz W. (1990) Fuzzy sets in pattern recognition : methodologie and methods. Pattern Recognition, Vol. 23, No 1/ 2, pp. 121- 146. 
19. [19] Pieczynski W. (1989) Estimation of context in random fields. Journal of Applied Statistics, Vol. 16, No 2, pp. 283-290. 
20. [20] Pieczynski W. (1992) Statistical image segmentation. Machine Graphics and Vision, Vol. 1, No 1/2, pp. 261-268. 
21. [21] Quelle H.C. & Boucher J.M. & Pieczynski W. (1992) Local parameter estimation and unsupervised segmentation of SAR images. Proceedings of IGARSS'92, Houston, Texas, mai 92. 
22. [22] Wang F. (1990) Fuzzy supervised classification of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing. Vol. 28, No 2. 
23. [23] Younes L. (1988) Problèmes d'estimation paramétrique pour des champs de Gibbs Markoviens. Application au Traitement d'images. Thèse, Université de Paris Sud.