Joint image reconstruction and segmentation: Comparison of two algorithms for few-view tomography

Joint image reconstruction and segmentation: Comparison of two algorithms for few-view tomography

Two algorithms of few-view tomography are compared, specifically, the iterative Potts minimization algorithm (IPMA) and the algebraic reconstruction technique with TV-regularization and adaptive segmentation (ART-TVS). Both aim to reconstruct piecewise-constant structures, use the compressed sensing...

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Bibliographic Details
Main Authors: Vitaly Vlasov, Alexander Konovalov, Sergey Kolchugin
Format: Article
Language:English
Published: Samara National Research University 2019-12-01
Series:Компьютерная оптика
Subjects:
few-view tomography
image reconstruction and segmentation
compressed sensing
potts functional
total variation
shepp-logan phantom
qr-code
correlation coefficient
deviation factor
Online Access:http://computeroptics.smr.ru/KO/PDF/KO43-6/430611.pdf

Internet

http://computeroptics.smr.ru/KO/PDF/KO43-6/430611.pdf

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