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Springer Statistical Image Processing and Multidimensional Modeling Book

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Description

Statistical Image Processing and Multidimensional Modeling from Springer explores the inference of meaningful information from imagery acquired by microscopes, telescopes, satellites, and medical imaging devices. This Information Science and Statistics text addresses the core challenge of extracting data from images that may be noisy, blurry, or incomplete. Rather than focusing solely on image processing techniques, the book examines spatial data sets with multiple measurements, providing a comprehensive approach to statistical methods in imaging. Ideal for professionals and researchers working with acquired images across scientific and technical fields, this resource offers practical frameworks for understanding and applying multidimensional modeling to real-world imaging problems.

Key Features

Springer's Information Science and Statistics series provides rigorous mathematical foundations for statistical image processing and spatial data analysis.

Covers inference techniques for extracting artery detection, road identification, DNA markers, oil spills, and other meaningful objects from imagery.

Addresses challenges of noisy, blurry, and incomplete images from microscopes, telescopes, satellites, and medical imaging devices.

Examines multidimensional spatial data sets with multiple measurements rather than focusing on image processing alone.

Combines statistical methodology with practical applications relevant to scientific research and technical professionals.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 October 2010
Listed Since
06 July 2010

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