Description

Book Synopsis
Multivariate image analysis is an analytical technique used in many areas including remote sensing (satellites), medicine (MRIs) and the food and chemical industries. Though there are many good books on using this technique in remote sensing, this is one of the first that focuses on its use in chemistry, medicine and food analysis.

Table of Contents
Images in the Natural Sciences and in Chemistry.

Medical Diagnostic Tools: Magnetic Resonance Imaging.

Principal Component Analysis with Basic Matrix Algebra andStatistics.

Preprocessing and Transformation of Images.

Principal Component Analysis on Multivariate Images.

Principal Component Analysis on Covariance and Correlation Matricesof Multivariate Images.

Visualization in Score Plots.

The Residual and Residual Images.

Local Models and Sampling.

Miscellaneous Examples.

Multivariate Image Analysis Applied to Magnetic ResonanceImages.

Multivariate Image Regression.

Epilog.

References.

Index.

Plates.

Multivariate Image Analysis

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    A Hardback by Hans Grahn, Hans Grahn

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      Book details

      Publisher John Wiley & Sons Inc
      Published 27 November 1996
      ISBN-13 9780471930013
      978-0471930013
      Also in:
      Spectrum analysis

      Description

      Book Synopsis
      Multivariate image analysis is an analytical technique used in many areas including remote sensing (satellites), medicine (MRIs) and the food and chemical industries. Though there are many good books on using this technique in remote sensing, this is one of the first that focuses on its use in chemistry, medicine and food analysis.

      Table of Contents
      Images in the Natural Sciences and in Chemistry.

      Medical Diagnostic Tools: Magnetic Resonance Imaging.

      Principal Component Analysis with Basic Matrix Algebra andStatistics.

      Preprocessing and Transformation of Images.

      Principal Component Analysis on Multivariate Images.

      Principal Component Analysis on Covariance and Correlation Matricesof Multivariate Images.

      Visualization in Score Plots.

      The Residual and Residual Images.

      Local Models and Sampling.

      Miscellaneous Examples.

      Multivariate Image Analysis Applied to Magnetic ResonanceImages.

      Multivariate Image Regression.

      Epilog.

      References.

      Index.

      Plates.

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