Springer
Markov Random Field Modeling in Image Analysis (English, Stan Z. Li)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9781848002784 |
| ISBN-10 | 1848002785 |
| Author | Stan Z. Li |
Product Description
Here on GlowMirror, you'll find Markov Random Field Modeling in Image Analysis filed under Springer -- everything you need to know is covered below.
About the Book
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 solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and re…
ISBN: 9781848002784
Book Insights
What You'll Learn
- ·About the Book Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation
- ·This book presents a comprehensive study on the use of MRFs for solving computer vision problems
- ·Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and re… ISBN: 9781848002784
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·This book presents a comprehensive study on the use of MRFs for solving computer vision problems
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Frequently Asked Questions
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Is Markov Random Field Modeling in Image Analysis available in English?
Markov Random Field Modeling in Image Analysis is available in English on GlowMirror.
Who is the author of Markov Random Field Modeling in Image Analysis?
Markov Random Field Modeling in Image Analysis is authored by Stan Z. Li.
Who published Markov Random Field Modeling in Image Analysis?
Markov Random Field Modeling in Image Analysis is published by Springer.
How many pages does Markov Random Field Modeling in Image Analysis have?
Page count information for Markov Random Field Modeling in Image Analysis is available in the specifications section of this page.
How long does it take to read Markov Random Field Modeling in Image Analysis?
At an average reading speed of 250 words per minute, reading Markov Random Field Modeling in Image Analysis takes a few hours to a few days depending on reading pace.
What is Markov Random Field Modeling in Image Analysis about?
About the Book
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 us...
Is Markov Random Field Modeling in Image Analysis suitable for beginners?
Whether Markov Random Field Modeling in Image Analysis is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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