@inproceedings{0eaa43abc6d74a59972af0c23bbcaa91,
title = "Registration using segment intensity remapping and mutual information",
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.",
author = "Z.F. Knops and J.B.A. Maintz and M.A. Viergever and J.P.W. Pluim",
year = "2004",
doi = "10.1007/978-3-540-30135-6_98",
language = "English",
series = "LNCS",
publisher = "Springer",
pages = "805--812",
editor = "C. Barillot and D.R. Haynor and P. Hellier",
booktitle = "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004",
address = "Germany",
note = "7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2004), September 26-29, 2004, Saint-Malo, France, MICCAI 2004 ; Conference date: 26-09-2004 Through 29-09-2004",
}