Statistical active grid for segmentation refinement

Pattern Recognition Letters

Volumn 22, Issue 10, 2001, Pages 1125-1132

  Germain, Olivier ^a   Réfrégier, Philippe ^a  

^a AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

Active contour; Image segmentation; SAR; Statistical models

Indexed keywords

COMPUTATIONAL METHODS; IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; STATISTICAL METHODS;

SEMI-SUPERVISED SEGMENTATIONS; STATISTICAL ACTIVE GRIDS;

PATTERN MATCHING;

IMAGE PROCESSING; SEGMENTATION; STATISTICAL ANALYSIS;

EID: 0035425632     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(01)00037-X     Document Type: Article

References (14)

1. Statistical region snake-based segmentation adapted to different physical noise models
2. Unsupervised contour representation and estimation using b-splines and a minimum description length criterion
3. An optimum multiedge detector for SAR image segmentation
4. Stochatic relaxation, Gibbs distribution and the Bayesian restoration of images
5. Optimal snake-based segmentation of a random luminance target on a spatially disjoint background
6. On the bias of the likelihood ratio edge detector for SAR images
7. A hierarchical statistical framework for the segmentation of deformable objects in image sequences
8. A deformable region model using stochastic processes applied to erchadiographic images
9. Boundary finding with parametrically deformable contour models
10. A Bayesian approach to dynamic contours through stochastic sampling and simulated annealing
11. A discrete version of the green's theorem
12. Region competition: Unifying snakes, region growing, and Bayes/mdl for multiband image segmentation