Registration using segment intensity remapping and mutual information

Z.F. Knops, J.B.A. Maintz, M.A. Viergever, J.P.W. Pluim

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (SciVal)

Abstract

A method for processing images prior to normalized mutual information based registration and an enhancement of the registration measure are presented. The method relies on k-means clustering of the intensity distribution and a gray-value remapping of spatially unconnected segments of similar intensity. Registration experiments using binary images from the MPEG-7 dataset and retinal images show our preprocessing to cause a significant reduction of the number of misregistrations without loss of accuracy or an increase in optimization steps.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2004
Subtitle of host publication7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I
EditorsC. Barillot, D.R. Haynor, P. Hellier
Place of PublicationBerlin
PublisherSpringer
Pages805-812
Number of pages8
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2004), September 26-29, 2004, Saint-Malo, France - Saint-Malo, France
Duration: 26 Sept 200429 Sept 2004

Publication series

NameLNCS
Volume3216

Conference

Conference7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2004), September 26-29, 2004, Saint-Malo, France
Abbreviated titleMICCAI 2004
Country/TerritoryFrance
CitySaint-Malo
Period26/09/0429/09/04

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