Can I read Multivariate Image Analysis on EtoBox?

Multivariate Image Analysis by Paul Geladi, Hans Grahn is a nonfiction available to read on EtoBox.

What is Multivariate Image Analysis about?

The quantity of visual information encountered experimentally by scientists across a wide range of fields has grown dramatically in recent years. As a result, the importance of dealing with multivariate data (data obtained by measuring a number of different quantities simultaneously) present in images has become much more important, and the requirement for techniques which are able to manage and analyse these data has become crucial for the practising scientist in many diverse disciplines. Multivariate Image Analysis gives the reader a sound understanding of the importance of, and the principles behind, multivariate image analysis. A short introduction to the image and its perception is followed by a discussion of some popular techniques of multivariate image formation, taken from fields such as microscopy, remote sensing and medical imaging. The principles behind one of the key multivariate techniques, principal components analysis, are thoroughly explained without going too far into the theory: The important concepts of residual visualization and local modelling are explained. Throughout, the power of the techniques discussed is demonstrated with the use of simple worked examples

Who reads Multivariate Image Analysis?

Author

Paul Geladi, Hans Grahn

Publisher

John Wiley & Sons, Incorporated

Published

1997

Language

EN

ISBN

9780585283470

Category

nonfiction

Subjects

Science, Chemistry, Engineering