Reconstruction of binary matrices from fan-beam projections
Acta Cybernetica
Advances in Discrete Tomography and Its Applications (Applied and Numerical Harmonic Analysis)
Advances in Discrete Tomography and Its Applications (Applied and Numerical Harmonic Analysis)
An Evolutionary Approach for Object-Based Image Reconstruction Using Learnt Priors
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Fundamentals of Computerized Tomography: Image Reconstruction from Projections
Fundamentals of Computerized Tomography: Image Reconstruction from Projections
Discrete tomography by convex-concave regularization and D.C. programming
Discrete Applied Mathematics - Special issue: IWCIA 2003 - Ninth international workshop on combinatorial image analysis
Direction-dependency of binary tomographic reconstruction algorithms
Graphical Models
A benchmark evaluation of large-scale optimization approaches to binary tomography
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Direction-dependency of a binary tomographic reconstruction algorithm
CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images
A central reconstruction based strategy for selecting projection angles in binary tomography
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Dynamic angle selection in binary tomography
Computer Vision and Image Understanding
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It has already been shown that the choice of projection angles can significantly influence the quality of reconstructions in discrete tomography. In this contribution we summarize and extend the previous results by explaining and demonstrating tile effects of projection selection dependency, in a set of experimental software tests. We perform reconstructions of software phantoms, by using different binary tomography reconstruction algorithms, from different equiangular and non-equiangular projections sets, under various conditions (i.e., when the objects to be reconstructed undergo slight topological changes, or the projection data is affected by noise) and compare the results with suitable approaches. Based on our observations, we reveal regularities in the resulting data and discuss possible consequences of such projection selection dependency in binary tomography.