Gradient and graph cuts based method for multi-level discrete tomography

Abstract

© Springer International Publishing AG 2017. In this paper, we are proposing a new energy-minimization reconstruction method for the multi gray level discrete tomography. The proposed reconstruction approach combines a gradient based algorithm with the graph cuts optimization. This new technique is able to reconstruct images that consist of an arbitrary number of gray levels. We present the experimental evaluation of the new method, where we compare its performance with performance of the already suggested methods for multi-level discrete tomography. The obtained experimental results give an advantage to the proposed approach, especially regarding the quality of the reconstructed test images.