Boundary Ghosts for Discrete Tomography

Author(s):  
Matthew Ceko ◽  
Timothy Petersen ◽  
Imants Svalbe ◽  
Rob Tijdeman
Keyword(s):  
4OR ◽  
2014 ◽  
Vol 12 (3) ◽  
pp. 297-298
Author(s):  
Ghassen Tlig
Keyword(s):  

2009 ◽  
Vol 157 (3) ◽  
pp. 438-451 ◽  
Author(s):  
K.J. Batenburg ◽  
J. Sijbers
Keyword(s):  

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Takeshi Kojima ◽  
Tetsushi Ueta ◽  
Tetsuya Yoshinaga

Multivalued discrete tomography involves reconstructing images composed of three or more gray levels from projections. We propose a method based on the continuous-time optimization approach with a nonlinear dynamical system that effectively utilizes competition dynamics to solve the problem of multivalued discrete tomography. We perform theoretical analysis to understand how the system obtains the desired multivalued reconstructed image. Numerical experiments illustrate that the proposed method also works well when the number of pixels is comparatively high even if the exact labels are unknown.


Author(s):  
J. M. Carazo ◽  
C. O. Sorzano ◽  
E. Rietzel ◽  
R. Schröder ◽  
R. Marabini

2013 ◽  
Vol 125 (3-4) ◽  
pp. 313-328 ◽  
Author(s):  
Elena Barcucci ◽  
Stefano Brocchi

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