Markov Random Field Modeling in Image Analysis
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for sol...
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| Format: | eBook |
| Language: | English |
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Tokyo
Springer Japan
2001, 2001
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| Edition: | 2nd ed. 2001 |
| Series: | Computer Science Workbench
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| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction
- 2 Low Level MRF Models
- 3 High Level MRF Models
- 4 Discontinuities in MRFs
- 5 Discontinuity-Adaptivity Model and Robust Estimation
- 6 MRF Parameter Estimation
- 7 Parameter Estimation in Optimal Object Recognition
- 8 Minimization — Local Methods
- 9 Minimization — Global Methods
- References
- List of Notation