£107.61

Springer Markov Random Field Modeling in Image Analysis Book

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Description

Master the complexities of computer vision with Markov Random Field Modeling in Image Analysis. Published by Springer as part of the Advances in Computer Vision and Pattern Recognition series, this third edition offers a deep study on using MRFs to solve vision problems. This text provides a comprehensive introduction to MRF theory and its specific applications in image processing. It is designed to help researchers and students understand various vision models through a well-structured approach. The updated edition includes the most recent advances in the field with new and expanded sections to ensure you stay current with modern developments. Whether you are looking for a foundational understanding or a detailed guide for advanced research, this book serves as an essential resource. It features a wide range of references for those who want to explore specific areas of image analysis in greater detail. This is a highly recommended text for anyone studying AI, machine learning, or advanced pattern recognition.

Key Features

Comprehensive study of Markov Random Fields for solving complex computer vision problems.

Updated third edition includes the most recent advances and expanded technical sections.

Detailed overview of various vision models used in modern image processing tasks.

Extensive list of references to support further research in specific technical areas.

Expertly written guide that provides a clear introduction to MRF applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
21 October 2010
Listed Since
20 December 2010

Barcode

No barcode data available

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