Grey level estimation for discrete tomography

Authors:
K. J. Batenburg;W. Van Aarle;J. Sijbers
Affiliations:
IBBT, Vision Lab, University of Antwerp, Belgium;IBBT, Vision Lab, University of Antwerp, Belgium;IBBT, Vision Lab, University of Antwerp, Belgium
Venue:
DGCI'09 Proceedings of the 15th IAPR international conference on Discrete geometry for computer imagery
Year:
2009

Citing 4
Cited 1

Advances in Discrete Tomography and Its Applications (Applied and Numerical Harmonic Analysis)

Advances in Discrete Tomography and Its Applications (Applied and Numerical Harmonic Analysis)
A Network Flow Algorithm for Reconstructing Binary Images from Continuous X-rays

Journal of Mathematical Imaging and Vision
A coordinate ascent approach to tomographic reconstruction of label images from a few projections

Discrete Applied Mathematics - Special issue: IWCIA 2003 - Ninth international workshop on combinatorial image analysis
Discrete tomography by convex-concave regularization and D.C. programming

Discrete Applied Mathematics - Special issue: IWCIA 2003 - Ninth international workshop on combinatorial image analysis

A semi-automatic algorithm for grey level estimation in tomography

Pattern Recognition Letters

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Abstract

Discrete tomography is a powerful approach for reconstructing images that contain only a few grey levels from their projections. Most theory and reconstruction algorithms for discrete tomography assume that the values of these grey levels are known in advance. In many practical applications, however, the grey levels are unknown and difficult to estimate. In this paper, we propose a semi-automatic approach for grey level estimation that can be used as a preprocessing step before applying discrete tomography algorithms. We present experimental results on its accuracy in simulation experiments.