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Matching of irreversibly deformed images in microscopy based on piecewise monotone subgradient optimization using parallel processing
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SYSNO ASEP 0390009 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Matching of irreversibly deformed images in microscopy based on piecewise monotone subgradient optimization using parallel processing Author(s) Michálek, Jan (FGU-C) RID
Čapek, Martin (FGU-C) RID, ORCID
Janáček, Jiří (FGU-C) RID, ORCID
Mao, X. W. (US)
Kubínová, Lucie (FGU-C) RID, ORCIDSource Title 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC).. - Edison : IEEE, 2012 / Yu bo - ISBN 978-1-4673-2029-0 Pages s. 3956-3963 Number of pages 8 s. Publication form Medium - C Action IEEE Nuclear Science Symposium and Medical Imaging Conference Event date 29.10.2012-3.11.2012 VEvent location Anaheim Country US - United States Event type WRD Language eng - English Country US - United States Keywords image registration ; convex optimization ; subgradient algorithm Subject RIV IN - Informatics, Computer Science R&D Projects ME09010 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GAP501/10/0340 GA ČR - Czech Science Foundation (CSF) GAP108/11/0794 GA ČR - Czech Science Foundation (CSF) TA02011193 GA TA ČR - Technology Agency of the Czech Republic (TA ČR) Institutional support FGU-C - RVO:67985823 UT WOS 000326814204011 Annotation We present an image registration algorithm based on minimization of a L1-TV functional consisting of a data fidelity term penalizing the mismatch between the reference and the target image, and a term enforcing smoothness of shift between neighboring pairs of pixels Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2013
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