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Advanced Tomographic Methods in Materials Research and Engineering$
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John Banhart

Print publication date: 2008

Print ISBN-13: 9780199213245

Published to Oxford Scholarship Online: May 2008

DOI: 10.1093/acprof:oso/9780199213245.001.0001

VISUALIZATION, PROCESSING AND ANALYSIS OF TOMOGRAPHIC DATA

Chapter:
(p. 37 ) 3 VISUALIZATION, PROCESSING AND ANALYSIS OF TOMOGRAPHIC DATA
Source:
Advanced Tomographic Methods in Materials Research and Engineering
Author(s):

Joachim Ohser

Katja Schladitz

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199213245.003.0003

This chapter discusses methods for image segmentation and image processing particularly useful for 3D images of materials and structures, and analysis methods developed for extracting the spatial structural information from tomographic data. The intrinsic volumes and their densities are introduced as basic and versatile geometric characteristics of image objects and image components or segments, respectively. An efficient algorithm for their measurement is described. Covariances and correlations are investigated using spectral methods. The chapter concludes with a survey of visualization techniques and an introduction to the simulation of materials behaviour based on CT data and computing of macroscopic properties.

Keywords:   image segmentation, image processing, image analysis, materials behaviour, 3D images, lattices

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