£129.99

Springer - Statistical Image Processing and Multidimensional Modeling

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Description

In an era where low-cost and high-quality imaging devices are everywhere, the ability to interpret visual data is more important than ever. This book from Springer provides a deep look into the statistical image processing tasks required when working with imagery from microscopes, telescopes, satellites, or medical devices. Rather than focusing solely on images, this text addresses the broader challenge of spatial data sets where multiple measurements are taken over a specific area. It provides the framework needed to perform inference on imagery that may be noisy, blurry, or incomplete. Whether you are looking to identify an artery, a road, a DNA marker, or an oil spill, this resource offers the mathematical and statistical foundation to extract meaningful information from complex visual data. It is a specialized addition to the Information Science and Statistics series designed for those working with advanced spatial data analysis.

Key Features

Focuses on the statistical inference of specific objects like DNA markers or roads from complex imagery.

Addresses practical challenges in data acquisition such as noisy, blurry, or incomplete image sets.

Extends beyond standard image processing to cover broader spatial data sets and multidimensional modeling.

Applicable to diverse fields including medical imaging, satellite observation, and microscopy.

Part of the professional Information Science and Statistics series by Springer.

Product Specifications

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

Barcode

No barcode data available

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