Paper
1 September 1990 3-D reconstruction using a limited number of projections
Catherine Klija, Blandine Lavayssiere
Author Affiliations +
Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24231
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland
Abstract
We present a new iterative algorithm for 3D reconstruction under constraints from a limited number of radiographic projections, with adjustment of the constraints during the iterations. The first step of the algorithm is a classical iterative reconstruction ART type method (Algebraic Reconstruction Technique) which provides a rough volumic reconstructed 3D zone containing a flaw. Then, this reconstructed zone is modelled by a Markov Random Field (MRF) which allows us to estimate some 3D support and orientation constraints using a Bayesian restoration method. This fundamental step is an important one in the sense that it allows the introduction of local geometric a priori knowledge concerning the faults. The next step consists in reintroducing these strong constraints in the reconstruction algorithm. Few iterations of the algorithm are necessary to improve quality of the reconstructed 3D zone. Simulated radiographic projections allow the performance of the algorithm to be evaluated.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Catherine Klija and Blandine Lavayssiere "3-D reconstruction using a limited number of projections", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24231
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
3D modeling

3D image processing

Reconstruction algorithms

3D image restoration

3D image reconstruction

Magnetorheological finishing

Radiography

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