£111.56

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Springer Markov Random Field Modeling in Image Analysis - Computer Vision

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Description

This comprehensive book by Springer presents an in-depth exploration of Markov Random Fields and their applications in solving computer vision problems. The third edition features the most recent advances in the field, with new and expanded sections covering various vision models and techniques. Designed for researchers and practitioners, this thoroughly written text provides extensive references and detailed explanations of MRF theory and its practical implementations in image processing and analysis. The book serves as both an introduction for newcomers and a detailed reference for those seeking to expand their expertise in this fundamental area of artificial intelligence and computational imaging.

Key Features

Comprehensive introduction to Markov Random Fields and their applications across diverse computer vision problems and image processing tasks.

Third edition includes the most recent advances in MRF technology with new sections reflecting current research developments.

Well-written content with extensive references enabling readers to explore specific areas of interest in greater depth.

Covers various vision models and theoretical frameworks essential for understanding advanced image analysis techniques.

Published by Springer in the Advances in Computer Vision and Pattern Recognition series, establishing academic credibility.

Product Specifications

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

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No barcode data available

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