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An improved TvMin plus DART algorithm to reconstruct multilabel images

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Author
Demircan Türeyen, Ezgi
Kamaşak, Mustafa Erşel
Type
Article
Date
2015
Language
en_US
Metadata
Show full item record
Abstract
From the algebraic point of view, image reconstruction is an under-determined problem, due to the fact that the projection measurements are a lot fewer than the unknown pixels. Discrete algebraic reconstruction technique (DART) is an algorithm used to cope with this situation. DART solves a discrete linear inverse problem by combining an algebraic reconstruction procedure with a threshold segmentation. In order to improve accuracy, the TvMin+DART algorithm modified the subroutines of DART by exploiting total variation minimization technique (TvMin). However, this algorithm was developed for only binary images. In this paper, our TvMin+DART algorithm will be generalized to handle multilabel images as well, and an experimental research to compare the proposed method with the original DART and the conventional filtered backprojection (FBP) will be presented.
Subject
discrete tomography
algebraic reconstruction techniques
threshold segmentation
compressed sensing
total variation minimization
URI
https://hdl.handle.net/11413/2140
https://doi.org/10.1109/TIPTEKNO.2015.7374561
Collections
  • Makaleler / Articles [100]
  • WoS Publications [1016]

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İstanbul Kültür University

Hakkında |Politika | Kütüphane | İletişim | Send Feedback | Admin

Istanbul Kültür University, Ataköy Campus E5 Karayolu Üzeri Bakırköy 34158, İstanbul / TURKEY
Copyright © İstanbul Kültür University

Creative Commons Lisansı
IKU Institutional Repository, Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Designed by  UNIREPOS