A Variational Model for Image Classification and Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Principles of computerized tomographic imaging
Principles of computerized tomographic imaging
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
Discrete tomography by convex-concave regularization and D.C. programming
Discrete Applied Mathematics - Special issue: IWCIA 2003 - Ninth international workshop on combinatorial image analysis
Binary tomography by iterating linear programs from noisy projections
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
A network flow algorithm for binary image reconstruction from few projections
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
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
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In this paper we present a new discrete tomography reconstruction algorithm developed for reconstruction of images that consist of a small number of gray levels. The proposed algorithm, called DTMWP is based on the minimization of the objective function which combines the regularized squared projection error with the multi-well potential function. The minimization is done by a gradient based method. We present experimental results obtained by application of the proposed algorithm for reconstruction of images that consist from three gray levels using small number of projections.