Neural Networks for Discrete Tomography
نویسندگان
چکیده
Discrete tomography deals with the reconstruction of binary images from their projections in a small number of directions. In this paper we consider possible neural network approaches to this tomographic reconstruction problem. In particular we are interested in methods that can compute reconstructions in real-time and make efficient use of prior knowledge about the images, even when this knowledge is difficult to model by hand. We propose both a feedforward back-propagation network method and a Hopfield network method for solving the reconstruction problem.
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