Image segmentation using simple Markov field models

Computer Graphics and Image Processing

Volumn 20, Issue 2, 1982, Pages 101-132

  Hansen, F R ^a   Elliott, H ^a  

^a Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING;

EID: 0020330540     PISSN: 0146664X     EISSN: None     Source Type: Journal    
DOI: 10.1016/0146-664X(82)90040-5     Document Type: Article

References (20)

1. Maximum likelihood sequence estimation of digital sequences in the presence of intersymbol interference
2. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
3. Modulo-2π phase sequence estimation
4. Recursive Estimation: A Multiple Model Approach
5. Linear Filtering Models for Texture Classification and Segmentation
6. Linear Filtering Models for Terrain Image Segmentation
7. Implementation, Interpretation and Analysis of a Suboptimal Boundary Finding Algorithm
8. An Application of Dynamic Programming to Sequential Boundary Estimation
9. Stochastic boundary estimation and object recognition
10. Decision making in Markov chains applied to the problem of pattern recognition
11. Aspects of dynamic programming in signal and image processing
12. An Application of Adaptive Algorithms to Image Processing
13. Application of Markov Field Models to the Design and Analysis of Image Segmentation Algorithms