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ThinkMind // SIGNAL 2020, The Fifth International Conference on Advances in Signal, Image and Video Processing // View article signal_2020_1_10_60026


Automatic Mesh Size Estimation in DVC for Images of Isotropic Materials

Authors:
Zaira Manigrasso
Jan Aelterman
Wilfried Philips

Keywords: DIC/DVC; B-spline transformation; Grid size estimation

Abstract:
When non-rigid Digital Image Correlation or Digital Volume Correlation (DIC/DVC) is performed, it is critical to correctly set the parameter that determines the control point spacing for the grid on which deformation is defined. In this paper, we present a method to automatically estimate the best performing grid spacing parameter for DIC/DVC registration. The operating principle is that the optimal grid spacing parameter is a function of the image content; it may be estimated through determining the dominant feature/object size. In order to extract the information about the objects size, first, the image volume has been segmented, then the disconnected objects inside the image have been detected (using a labeling technique) and, lastly, a classification of the objects has been made based on the number of the voxels of each object. The reason for this study arises from the practical necessity of finding the best performing parameter for registration in materials sciences research. We show how an erroneous setting of the density of the control points leads to inaccurate registration. Furthermore, we demonstrate how the parameter predicted by our algorithm is indeed optimal, both in a quantitative sense, using Normalized Cross Correlation (NCC) as a measure, as well as qualitatively.

Pages: 1 to 5

Copyright: Copyright (c) IARIA, 2020

Publication date: September 27, 2020

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-61208-791-7

Location: Lisbon, Portugal

Dates: from September 27, 2020 to October 1, 2020

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