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ID 114381
Author
Content Type
Journal Article
Description
Multivalued discrete tomography involves reconstructing images composed of three or more gray levels from projections. We propose a method based on the continuous-time optimization approach with a nonlinear dynamical system that effectively utilizes competition dynamics to solve the problem of multivalued discrete tomography. We perform theoretical analysis to understand how the system obtains the desired multivalued reconstructed image. Numerical experiments illustrate that the proposed method also works well when the number of pixels is comparatively high even if the exact labels are unknown.
Journal Title
Mathematical Problems in Engineering
ISSN
1024123X
15635147
NCID
AA11947206
Publisher
Hindawi
Volume
2017
Start Page
8160354
Published Date
2017-11-12
Rights
Copyright © 2017 Takeshi Kojima et al. This is an open access article distributed under the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Medical Sciences
Center for Administration of Information Technology