Stochastic model for boundary detection

Image and Vision Computing

Volumn 5, Issue 2, 1987, Pages 61-65

  Geman, Donald ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

annealing; boundary extraction; image analysis; Markov random fields

Indexed keywords

PROBABILITY - RANDOM PROCESSES;

BOUNDARY EXTRACTION; MARKOV PROCESSES;

IMAGE PROCESSING;

EID: 0022716944     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/0262-8856(87)90028-X     Document Type: Article

References (19)

1. Stochastic relaxation Gibbs distributions and the Bayesian restoration of images
2. Bayesian image analysis
3. Locating texture and object boundaries
4. Surface reconstruction preserving discontinuities
5. Probabilistic solution of illposed problems in computational vision
6. On the statistical analysis of dirty pictures
7. Modelling and segmentation of noisy and textured images using Gibbs random fields
8. Parallel stochastic optimization in computer vision
9. Optimal perceptual inference
10. “Neural” computation of decisions in optimization problems
11. Boltzmann machines for speech pattern processing
12. Alloction of remotely sensed data using Markov models for spectral variables and pixel labels
13. Reconstructing a visible surface
14. Simple parallel hierarchical and relaxation algorithms for segmentating noncausal Markov random fields
15. Computational vision and regularization theory
16. Segmentation of natural scenes
17. A parallel approach to the picture restoration algorithm of Geman and Geman