Stochastic boundary estimation and object recognition

Computer Graphics and Image Processing

Volumn 12, Issue 4, 1980, Pages 326-356

  Cooper, D B ^a   Elliott, H ^b   Cohen, F ^a   Reiss, L ^a   Symosek, P ^a  

^a BROWN UNIVERSITY   (United States)

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

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION SYSTEMS;

EID: 0019229229     PISSN: 0146664X     EISSN: None     Source Type: Journal    
DOI: 10.1016/0146-664X(80)90018-0     Document Type: Article

References (24)

1. An application of heuristic search methods to edge and contour detection
2. On the optimal detection of curves in noisy pictures
3. Maximum likelihood estimation of Markov process blob boundaries in noisy images
4. A maximum likelihood framework for boundary estimation in noisy images
5. Implementation, interpretation, and analysis of a suboptimal boundary finding algorithm
6. The ripple filter an algorithm for region growing in scene analysis
7. Image boundary estimation
8. Segmentation, evaluation, and natural scenes
9. Feature selection and super data compression for pictures occurring in remote conference and classroom communications
10. Super high compression of line drawing data
11. Applications of a simple statistical model for curves
12. An application of relaxation labeling to line and curve enhancement
13. P. Symosek,Implementation and Analysis of a Sequential Boundary Finder for Stochastic Boundaries, Brown University, Division of Engineering, M.Sc. Thesis, in preparation.
14. A hierarchial data structure for picture processing
15. A ladder-structured decision tree for recognizing tumors in chest radiographs
16. Aspects of Dynamic Programming in Signal and Image Processing
17. Two-dimensional image boundary estimation by use of likelihood maximization and Kalman filtering