Overview

This book provides a thorough development of ridges and their application to image and data analysis. The text is self-contained by including a chapter on the necessary mathematical background, chapters on the formal ridge definitions in any geometric setting, and a chapter on the numerical implementation. An applications chapter covers three separate topics: medical image analysis, molecular modeling, and analysis of fluid flow. Audience: The book is intended primarily for computer vision and image processing scientists with a background in mathematics and scientific computation. However, ridges provide a general purpose tool for multidimensional data analysis, so the book will be of interest to practitioners in any field which requires the analyzing of data, such as statistics, the physical sciences, or engineering.

Full Product Details

Author:   D. Eberly
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 1996
Volume:   7
Dimensions:   Width: 17.00cm , Height: 1.20cm , Length: 24.40cm
Weight:   0.454kg
ISBN:  

9789048147618

ISBN 10:   9048147611
Pages:   215
Publication Date:   06 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

1 Introduction.- 1.1 A History of Ridges.- 1.2 Reading Strategies.- 2 Mathematical Preliminaries.- 2.1 Linear Algebra.- 2.2 Differential Calculus.- 2.3 Tensors.- 3 Ridges in Euclidean Geometry.- 3.1 Generalized Local Extrema.- 3.2 Height Ridge Definition.- 3.3 1-Dimensional Ridges in ?2.- 3.4 1-Dimensional Ridges in ?3.- 3.5 1-Dimensional Ridges in ?n.- 3.6 2-Dimensional Ridges in ?3.- 3.7 2-Dimensional Ridges in ?4.- 3.8 d-Dimensional Ridges in ?n.- 4 Ridges in Riemannian Geometry.- 4.1 Generalized Local Extrema.- 4.2 Height Ridge Definition.- 4.3 1-Dimensional Ridges in ?2.- 4.4 1-Dimensional Ridges in ?3.- 4.5 1-Dimensional Ridges in ?n.- 4.6 2-Dimensional Ridges in ?3.- 4.7 2-Dimensional Ridges in ?4.- 4.8 d-Dimensional Ridges in ?n.- 5 Ridges of Functions Defined on Manifolds.- 5.1 Height Ridge Definition.- 5.2 Maximal Curvature Ridge Definitions.- 6 Applications to Image and Data Analysis.- 6.1 Medical Image Analysis.- 6.2 Molecular Modeling.- 6.3 Fluid Flow.- 7 Implementation Issues.- 7.1 Bridging the Gap Between Theory and Practice.- 7.2 B-spline Interpolation.- 7.3 Eigensystem Solvers.- 7.4 Ridge Construction.

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