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Markov Random Field Modeling in Image Analysis

About Markov Random Field Modeling in Image Analysis

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation.

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  • Language:
  • English
  • ISBN:
  • 9781848002784
  • Binding:
  • Hardback
  • Pages:
  • 362
  • Published:
  • April 1, 2009
  • Edition:
  • 32009
  • Dimensions:
  • 155x235x22 mm.
  • Weight:
  • 1570 g.
Delivery: 2-3 weeks
Expected delivery: January 9, 2025
Extended return policy to January 30, 2025
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Description of Markov Random Field Modeling in Image Analysis

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation.

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