Title
Projection-based polygon estimation in X-ray computed tomographyProjection-based polygon estimation in X-ray computed tomography
Author
Faculty/Department
Faculty of Sciences. Physics
Research group
Vision lab
Publication type
conferenceObject
Publication
Maastricht :Shaker publishing bv,
Subject
Physics
Engineering sciences. Technology
Source (journal)
OPTICAL MEASUREMENT TECHNIQUES FOR STRUCTURES & SYSTEMS III
Source (book)
6th International Conference on Optical Measurement Techniques for, Structures and Systems III (OPTIMESS2015), APR 08-09, 2015, Univ Antwerp, Univ Antwerp, Antwerp, BELGIUM
Volume/pages
(2016), p. 41-49
ISBN
978-90-423-0439-0
ISI
000373413300005
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
In X-ray computed tomography, the 3D structure of a scanned object can be reconstructed from a number of projection images of the object acquired from different directions. Conventional tomographic reconstruction algorithms represent the reconstructed volume on a voxel grid. Such representation is, however, not well suited for polyhedral objects arising in many industrial applications, since such objects are first voxelized during the reconstruction and then processed in order to obtain a polygon mesh representing the surface of the object. These transformations lead to loss of details and may induce artefacts that hinder posterior image processing. In this work, a new approach is proposed in which a contour polygon of the object is directly estimated from the projection data. The approach is based on simulated projections of the polygon model and optimization of the vertex positions in the model with respect to the distance between the simulated and the original projection data (projection distance). The obtained results demonstrate the ability of the proposed algorithm to accurately represent the contour of the object even in case of noisy projection data.
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