-
2
-
-
0008822681
-
Multiband techniques for texture classification and segmentation
-
A. Bovik, Ed. Orlando, FL: Academic
-
B. S. Manjunath, G. M. Haley, and W. Y. Ma, "Multiband techniques for texture classification and segmentation," in Handbook of Image and Video Processing, A. Bovik, Ed. Orlando, FL: Academic, 2000, pp. 367-381.
-
(2000)
Handbook of Image and Video Processing
, pp. 367-381
-
-
Manjunath, B.S.1
Haley, G.M.2
Ma, W.Y.3
-
3
-
-
0036475031
-
Double Markov random fields and Bayesian image segmentation
-
Feb.
-
D. E. Melas and S. P. Wilson, "Double Markov random fields and Bayesian image segmentation," IEEE Trans. Signal Process., vol. 50, no. 2, pp. 357-365, Feb. 2002.
-
(2002)
IEEE Trans. Signal Process.
, vol.50
, Issue.2
, pp. 357-365
-
-
Melas, D.E.1
Wilson, S.P.2
-
4
-
-
4344625908
-
Signal and image segmentation using pairwise Markov chains
-
Sep.
-
S. Derrode and W. Pieczynski, "Signal and image segmentation using pairwise Markov chains," IEEE Trans. Signal Process., vol. 52, no. 9, pp. 2477-2489, Sep. 2004.
-
(2004)
IEEE Trans. Signal Process.
, vol.52
, Issue.9
, pp. 2477-2489
-
-
Derrode, S.1
Pieczynski, W.2
-
5
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
Nov.
-
S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-6, no. 6, pp. 721-741, Nov. 1984.
-
(1984)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.PAMI-6
, Issue.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
8
-
-
0031186538
-
Synthetic aperture radar image segmentation by a detail preserving Markov random field approach
-
Jul.
-
P. C. Smits and S. G. Dellepiane, "Synthetic aperture radar image segmentation by a detail preserving Markov random field approach," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 4, pp. 844-857, Jul. 1997.
-
(1997)
IEEE Trans. Geosci. Remote Sens.
, vol.35
, Issue.4
, pp. 844-857
-
-
Smits, P.C.1
Dellepiane, S.G.2
-
9
-
-
0032625885
-
Image segmentation by tree-structured Markov random field
-
Jul.
-
G. Poggi and A. R. P. Ragozini, "Image segmentation by tree-structured Markov random field," IEEE Signal Process. Lett., no. 7, pp. 155-157, Jul. 1999.
-
(1999)
IEEE Signal Process. Lett.
, Issue.7
, pp. 155-157
-
-
Poggi, G.1
Ragozini, A.R.P.2
-
10
-
-
0141885057
-
A tree-structured Markov random field model for Bayesian image segmentation
-
Oct.
-
C. D'Elia, G. Poggi, and G. Scarpa, "A tree-structured Markov random field model for Bayesian image segmentation," IEEE Trans. Image Process., vol. 12, no. 10, pp. 1259-1273, Oct. 2003.
-
(2003)
IEEE Trans. Image Process.
, vol.12
, Issue.10
, pp. 1259-1273
-
-
D'Elia, C.1
Poggi, G.2
Scarpa, G.3
-
11
-
-
0032687294
-
Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood
-
Jul.
-
X. Descombes, R. D. Morris, J. Zerubia, and M. Berthod, "Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood," IEEE Trans. Image Process., vol. 8, no. 7, pp. 954-963, Jul. 1999.
-
(1999)
IEEE Trans. Image Process.
, vol.8
, Issue.7
, pp. 954-963
-
-
Descombes, X.1
Morris, R.D.2
Zerubia, J.3
Berthod, M.4
-
12
-
-
15944404047
-
A binary tree-structured MRF model for multispectral satellite image segmentation
-
Sophia Antipolis, France, Dec. [Online]
-
G. Scarpa, G. Poggi, and J. Zerubia, "A binary tree-structured MRF model for multispectral satellite image segmentation,", Sophia Antipolis, France, INRIA Res. Rep. 5062, Dec. 2003. [Online]. Available: http://www-sop.inria.fr/ariana/BIBLIO/Year/2003.html.
-
(2003)
INRIA Res. Rep.
, vol.5062
-
-
Scarpa, G.1
Poggi, G.2
Zerubia, J.3
-
13
-
-
0002629270
-
Mixtures densities, maximum likelihood from incomplete data via the em algorithm
-
A. P. Dempster, N. M. Land, and D. B. Rubin, "Mixtures densities, maximum likelihood from incomplete data via the EM algorithm," J. R. Statist. Soc., vol. 39, no. 1, pp. 1-38, 1977.
-
(1977)
J. R. Statist. Soc.
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Land, N.M.2
Rubin, D.B.3
-
14
-
-
0031189036
-
Parameter estimation in hidden fuzzy Markov random fields and image segmentation
-
F. Salzenstein and W. Pieczynski, "Parameter estimation in hidden fuzzy Markov random fields and image segmentation," Graph. Models Image Process., vol. 59, no. 4, pp. 205-220, 1997.
-
(1997)
Graph. Models Image Process.
, vol.59
, Issue.4
, pp. 205-220
-
-
Salzenstein, F.1
Pieczynski, W.2
-
15
-
-
0026278621
-
A review of assessing the accuracy of classifications of remotely sensed data
-
R. G. Congalton, "A review of assessing the accuracy of classifications of remotely sensed data," Remote Sens. Environ., vol. 37, no. 1, pp. 35-36, 1991.
-
(1991)
Remote Sens. Environ.
, vol.37
, Issue.1
, pp. 35-36
-
-
Congalton, R.G.1
-
16
-
-
84958634006
-
-
Ph.D. thesis, Univ. Rennes, Rennes, France, Jan.
-
A. Chardin, "Modèles énergétiques hiérarchiques pour la résolution des problèmes inverses en analyze d'images - Application à la télédétection," Ph.D. thesis, Univ. Rennes, Rennes, France, Jan. 2000.
-
(2000)
Modèles Énergétiques Hiérarchiques pour la Résolution des Problèmes Inverses en Analyze d'Images - Application à la Télédétection
-
-
Chardin, A.1
-
17
-
-
0035141667
-
A comparison of parametric classification procedures of remotely sensed data applied on different landscape units
-
Feb.
-
L. Hubert-Moy, A. Cotonnec, L. Le Du, A. Chardin, and P. Pérez, "A comparison of parametric classification procedures of remotely sensed data applied on different landscape units," Remote Sens. Environ., vol. 75, no. 2, pp. 174-187, Feb. 2001.
-
(2001)
Remote Sens. Environ.
, vol.75
, Issue.2
, pp. 174-187
-
-
Hubert-Moy, L.1
Cotonnec, A.2
Le Du, L.3
Chardin, A.4
Pérez, P.5
-
18
-
-
17144380717
-
Deux modèles variationnels pour la classification d'images multispectrales
-
C. Samson, L. Blanc-Féraud, G. Aubert, and J. Zerubia, "Deux modèles variationnels pour la classification d'images multispectrales," Trait. Signal, vol. 18, no. 5-6, pp. 345-367, 2001.
-
(2001)
Trait. Signal
, vol.18
, Issue.5-6
, pp. 345-367
-
-
Samson, C.1
Blanc-Féraud, L.2
Aubert, G.3
Zerubia, J.4
-
19
-
-
24944592336
-
Two variational models for multispectral image classification
-
Berlin, Germany: Springer-Verlag, Sep. 3-5, Lecture Notes in Computer Science
-
_, "Two variational models for multispectral image classification," in Proc. EMMCVPR. Berlin, Germany: Springer-Verlag, Sep. 3-5, 2001, Lecture Notes in Computer Science.
-
(2001)
Proc. EMMCVPR
-
-
-
20
-
-
0024715149
-
Simultaneous parameter estimation and segmentation of Gibbs random field using simulated annealing
-
Aug.
-
S. Lakshmanan and H. Denn, "Simultaneous parameter estimation and segmentation of Gibbs random field using simulated annealing," IEEE Trans. Pattern Anal. Mach. Intell., vol. 11, no. 8, pp. 799-813, Aug. 1989.
-
(1989)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.11
, Issue.8
, pp. 799-813
-
-
Lakshmanan, S.1
Denn, H.2
-
21
-
-
0000013152
-
On the statistical analysis of dirty pictures
-
J. Besag, "On the statistical analysis of dirty pictures," J. R. Statist. Soc., ser. B 48, pp. 259-302, 1986.
-
(1986)
J. R. Statist. Soc., Ser. B
, vol.48
, pp. 259-302
-
-
Besag, J.1
-
22
-
-
84960848513
-
An adaptive MRF model for boundary-preserving segmentation of multispectral images
-
Toulouse, France, Sep.
-
C. D'Elia, G. Poggi, and G. Scarpa, "An adaptive MRF model for boundary-preserving segmentation of multispectral images," in Proc. 11th Eur. Signal Processing Conf., Toulouse, France, Sep. 2002.
-
(2002)
Proc. 11th Eur. Signal Processing Conf.
-
-
D'Elia, C.1
Poggi, G.2
Scarpa, G.3
|