A Novel Approach to Image Reconstruction from Discrete Projections Using Hopfield-Type Neural Network-Reference-Cited by-同舟云学术

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A Novel Approach to Image Reconstruction from Discrete Projections Using Hopfield-Type Neural Network

Published:2006 Issue: Volume: Page:890-898
ISSN:0302-9743
Container-title:Artificial Intelligence and Soft Computing – ICAISC 2006
language:
Short-container-title:

Author:

Cierniak Robert

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11785231_93.pdf

Reference8 articles.

1. Frieden, B.R., Zoltani, C.R.: Maximum bounded entropy: application to tomographic reconstruction. Appl. Optics 24, 201–207 (1985)

2. Jaene, B.: Digital Image Processing - Concepts, Algoritms and Scientific Applications. Springer, Heidelberg (1991)

3. Jain, A.K.: Fundamentals of Digital Image Processing. Prentice Hall, New Jersey (1989)

4. Lewitt, R.M.: Reconstruction algorithms: transform methods. Proceeding of the IEEE 71, 390–408 (1983)

5. Luo, F.-L., Unbehauen, R.: Applied Neural Networks for Signal Processing. Cambridge University Press, Cambridge (1998)

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