Abstract | ||
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In this work we study the relation between the quality of a binary tomographic reconstruction and the choice of angles of the projections. We conduct experiments on a set of software phantoms by reconstructing them from different projection sets using three different discrete tomography reconstruction algorithms, and compare the accuracy of the corresponding reconstructions with suitable approaches. To validate our results for possible real-world applications, we conduct the experiments by adding random noise of different characteristics to the simulated projection data, and by applying small topological changes on the phantom images as well. In addition, we also discuss some consequences of the angle-selection dependency and possible practical applications arising from the field of non-destructive testing, too. |
Year | DOI | Venue |
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2011 | 10.1016/j.gmod.2011.06.006 | Graphical Models |
Keywords | Field | DocType |
possible real-world application,binary tomographic reconstruction,binary tomographic reconstruction algorithm,corresponding reconstruction,different characteristic,non-destructive testing,different projection,different discrete tomography reconstruction,simulated projection data,possible practical application,angle-selection dependency,non destructive testing,tomographic reconstruction,reconstruction | Imaging phantom,Nondestructive testing,Software,Artificial intelligence,Binary number,Iterative reconstruction,Computer vision,Tomographic reconstruction,Mathematical optimization,Discrete tomography,Random noise,Algorithm,Mathematics | Journal |
Volume | Issue | ISSN |
73 | 6 | 1524-0703 |
ISBN | Citations | PageRank |
3-642-12711-8 | 16 | 1.15 |
References | Authors | |
9 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
László Zsolt Varga | 1 | 194 | 24.42 |
Péter Balázs | 2 | 94 | 9.69 |
Antal Nagy | 3 | 72 | 9.37 |