Lawson / Hilliard | Stereology and Stochastic Geometry | Buch | 978-90-481-6455-4 | sack.de

Buch, Englisch, Band 28, 488 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 768 g

Reihe: Computational Imaging and Vision

Lawson / Hilliard

Stereology and Stochastic Geometry


1. Auflage. Softcover version of original hardcover Auflage 2003
ISBN: 978-90-481-6455-4
Verlag: Springer Netherlands

Buch, Englisch, Band 28, 488 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 768 g

Reihe: Computational Imaging and Vision

ISBN: 978-90-481-6455-4
Verlag: Springer Netherlands


Somebody had to do it. The Chinese speak of deep water wells called "grandfather wells" because they take three generations of diggers to complete. Imagine the thought of such a well being abandoned incomplete by the third generation. What a loss! This book is like a grandfather well except that it has taken only two generations, John Hilliard's and mine, to finish. When I saw his manuscript lying in a heap, I decided that I must spend the time to put it and his notes into a publishable form. Now, it is done. This book is mostly about performing spatial measurements through the statistical sampling of images; it is a text on classical stereology as John Hilliard saw it. His vision of the subject was broad. Consequently, its title is broad too. It presents this subject and some of its modem extensions from the classical perspective of the one of the founders of the field, and my first advisor at Northwestern University, John Hilliard. There is nothing new in this book but much that may have been lost over time. It rediscovers many useful discussions about such subjects as the variances of stereo logical measurements, anisotropy etc. It recovers some of the dialogues between John Hilliard and his students on such topics as fractals and Monte Carlo simulations. It recaptures a little of John Hilliard's unique and subtle wit.

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Zielgruppe


Research

Weitere Infos & Material


1 Images and Patterns.- 2 Mathematical Preliminaries.- 3 Definitions, Sets and Measures.- 4 Random Probes.- 5 General Shape-independent Relationships.- 6 Shape-dependent Intercept Distributions.- 7 Relationships for Projected Images.- 8 Stereological Sampling and Statistics.- 9 Multidimensional Generalizations.- 10 Topics in Stochastic Geometry.- Appendix: Additional Topics in Analysis.- A.1 Systems of Numbers.- A.2 Additional Material on Sets.- A.3 Topics Concerning Measure.- A.4 Bibliography.



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