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Proceedings Paper

Image processing issues in digital strain mapping
Author(s): William F. Clocksin; Joao Quinta da Fonseca; P. J. Withers; Philip H. S. Torr
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Paper Abstract

We have developed high density image processing techniques for finding the surface strain of an untreated sample of material from a sequence of images taken during the application of force from a test rig. Not all motion detection algorithms have suitable functional characteristics for this task, as image sequences are characterised by both short- and long-range displacements, non-rigid deformations, as well as a low signal-to-noise ratio and methodological artifacts. We show how a probability-based motion detection algorithm can be used as a high confidence estimator of the strain tensor characterising the deformation of the material. An important issue discussed is how to minimise the number of image brightness differences that need to be calculated. We give results from two studies of materials under axial tension: a sample of aluminium alloy exhibiting a propagating plastic deformation, and a preparation of deer antler bone, a natural composite material.

Paper Details

Date Published: 21 November 2002
PDF: 12 pages
Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); doi: 10.1117/12.452334
Show Author Affiliations
William F. Clocksin, Oxford Brookes Univ. (United Kingdom)
Joao Quinta da Fonseca, Manchester Materials Science Ctr. (United Kingdom)
P. J. Withers, Manchester Materials Science Ctr. (United Kingdom)
Philip H. S. Torr, Microsoft Research Cambridge (United Kingdom)

Published in SPIE Proceedings Vol. 4790:
Applications of Digital Image Processing XXV
Andrew G. Tescher, Editor(s)

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