Matching of irreversibly deformed images in microscopy based on piecewise monotone subgradient optimization using parallel processing

0390009 - FGÚ 2013 RIV US eng C - Conference Paper (international conference)
Michálek, Jan - Čapek, Martin - Janáček, Jiří - Mao, X. W. - Kubínová, Lucie
Matching of irreversibly deformed images in microscopy based on piecewise monotone subgradient optimization using parallel processing.
2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC).. Edison: IEEE, 2012 - (Yu, b.), s. 3956-3963. ISBN 978-1-4673-2029-0.
[IEEE Nuclear Science Symposium and Medical Imaging Conference. Anaheim (US), 29.10.2012-3.11.2012]
R&D Projects: GA MŠMT(CZ) ME09010; GA ČR(CZ) GAP501/10/0340; GA ČR(CZ) GAP108/11/0794; GA TA ČR(CZ) TA02011193
Institutional support: RVO:67985823
Keywords : image registration * convex optimization * subgradient algorithm
Subject RIV: IN - Informatics, Computer Science

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
Permanent Link: http://hdl.handle.net/11104/0218893