Markov Random Field Modeling in Image Analysis

Markov Random Field Modeling in Image Analysis by Stan Z. Li.

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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Bibliographic Details
Main Author: Li, Stan Z. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Tokyo : Springer Japan : Imprint: Springer, 2001.
Edition:2nd ed. 2001.
Series:Computer Science Workbench,
Springer eBook Collection.
Subjects:
Pattern recognition.
Optical data processing.
Computer science—Mathematics.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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