A Novel Approach to Image Reconstruction from Discrete Projections Using Hopfield-Type Neural Network
Presented paper shows a novel approach to the problem of image reconstruction from projections using recursive Hopfield-type neural network. The reconstruction process is performed during the minimizing of the energy function in this network. Our method is of a great practical use in reconstruction from discrete parallel beam projections. Experimental results show that the appropriately designed neural network is able to reconstruct an image with better quality than obtained from conventional algorithms.
KeywordsNeural Network Interpolation Function Reconstruction Process Algebraic Reconstruction Technique Image Reconstruction Algorithm
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- 2.Jaene, B.: Digital Image Processing - Concepts, Algoritms and Scientific Applications. Springer, Heidelberg (1991)Google Scholar
- 5.Luo, F.-L., Unbehauen, R.: Applied Neural Networks for Signal Processing. Cambridge University Press, Cambridge (1998)Google Scholar
- 6.Radon, J.: Ueber die Bestimmung von Functionen durch ihre Integralwerte Tangs gewisser Mannigfaltigkeiten. Berichte Saechsiche Akad. Wissenschaften, Math. Phys. Klass 69, 262–277 (1917)Google Scholar