|
5012
|
Genetic Algorithms
– Goldberg
- 1989
|
|
2405
|
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
– Geman, Geman
- 1984
|
|
570
|
On the statistical analysis of dirty pictures
– Besag
- 1986
|
|
149
|
A multiscale random field model for Bayesian image segmentation
– Bouman, Shapiro
- 1994
|
|
136
|
Object matching using deformable templates
– Jain, Zhong, et al.
- 1996
|
|
115
|
Boundary detection by constrained optimization
– Geman, Geman, et al.
- 1990
|
|
88
|
C.M.Brown, “The theory and practice of bayesian image labeling
– Chou
|
|
55
|
Some fundamental properties of speckle
– Goodman
- 1976
|
|
30
|
A Markov Random Field ModelBased Approach to Image Interpretation
– Modestino, Zhang
- 1992
|
|
25
|
Sonar image segmentation using an unsupervised hierarchical MRF model
– Mignotte, Collet, et al.
- 2000
|
|
24
|
Vehicle segmentation and classification using deformable templates
– Jolly, Lakshmanan, et al.
- 1996
|
|
14
|
Multiscale minimisation of global energy functions in some visual recovery problems
– Heitz, P'erez, et al.
- 1994
|
|
12
|
Statistical Model-Based Segmentation of Deformable Motion
– Kervrann, Heitz
- 1996
|
|
10
|
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow Shapes in Sonar Imagery
– Mignotte, Collet, et al.
- 2000
|
|
9
|
Statistical model and genetic optimization: Application to pattern detection in sonar images
– Mignotte, Collet, et al.
- 1998
|
|
9
|
Unsupervised hierarchical Markovian segmentation of sonar images
– Mignotte, Collet, et al.
- 1997
|
|
9
|
Hierarchical MRF modeling for sonar picture segmentation
– Collet, Thourel, et al.
- 1996
|
|
9
|
Three-class markovian segmentation of high resolution sonar images
– Mignotte, Collet, et al.
- 1999
|
|
4
|
A multilevel GMRF-based approach to image segmentation and restoration
– Regazzoni, Arduini, et al.
- 1993
|
|
3
|
Three-dimensional reconstruction of underwater objects from a sequence of sonar images
– Zerr, Stage
- 1996
|
|
1
|
Seafloor classification using Markov random field and fuzzy logic. volume
– Mignotte, Collet, et al.
- 1999
|
|
