Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-7173
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCideciyan, Artur V.de
dc.contributor.authorJacobson, Samuel G.de
dc.contributor.authorKemp, Colin M.de
dc.contributor.authorKnigthon, Robert W.de
dc.contributor.authorNagel, Joachim H.de
dc.date.accessioned2010-04-27de
dc.date.accessioned2016-03-31T11:42:10Z-
dc.date.available2010-04-27de
dc.date.available2016-03-31T11:42:10Z-
dc.date.issued1992de
dc.identifier.other322535336de
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-52223de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/7190-
dc.identifier.urihttp://dx.doi.org/10.18419/opus-7173-
dc.description.abstractA method of image registration is presented for the case when the deformation between two images can be well approximated with a combination of translation, rotation and global scaling. The method achieves very high accuracy by combining a global optimization in the 4-dimensional discrete parameter space with a local optimization in the 4-dimensional continuous parameter space. The 4-dimensional global optimization is accomplished with two 2-dimensional optimizations. The Fourier magnitude is used to decouple translation from rotation and scaling, and a log-polar mapping of the Fourier magnitude is used to convert rotation and scaling into shifts. Optimal rotation and scaling parameters are determined with a cross-correlation in the log-polar domain. After compensation for rotation and scaling differences, cross-correlation in the spatial domain yields the translation parameters. The four registration parameters are further refined with a local optimization using the correlation coefficient as a similarity measure in the 4-dimensional continuous parameter space. Results are shown from simulations and from registration of retinal images. For simulated images with a signal-to-noise ratio of -5 dB, the accuracy of the registration method is estimated to be better than 0.07 degrees, 0.1 %, and 0.3 pixels for rotation, scaling, and translation, respectively. In the case of 512x512 pixel images the computation resource requirements are compatible with high end PCs, i.e., approximately 25 minutes on an Intel 80486/33MHz based IBM/PC compatible.en
dc.language.isoende
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.subject.classificationHochauflösendes Verfahren , Netzhautde
dc.subject.ddc600de
dc.titleRegistration of high resolution images of the retinaen
dc.typeconferenceObjectde
dc.date.updated2012-07-03de
ubs.fakultaetFakultätsübergreifend / Sonstige Einrichtungde
ubs.institutSonstige Einrichtungde
ubs.opusid5222de
ubs.publikation.source6. Image processing : 24 - 27 February 1992, Newport Beach, Calif, 1992 (Proceedings / SPIE 1652), S. 310-322de
ubs.publikation.typKonferenzbeitragde
Appears in Collections:15 Fakultätsübergreifend / Sonstige Einrichtung

Files in This Item:
File Description SizeFormat 
nag14.pdf2,6 MBAdobe PDFView/Open


Items in OPUS are protected by copyright, with all rights reserved, unless otherwise indicated.