Automated registration of multimodality images by maximization of a region similarity measure

Zhi-Pei Liang, H. Pan, R. L. Magin, Narendra Ahuja, Thomas S Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a robust algorithm for automated registration of images related by rigid-body transformations. This algorithm uses a new region-based similarity metric, which enables accurate registration of images of large contrast differences. Region segmentation required by the metric is accomplished using a multiscale segmentation algorithm, and minimization of this metric is done using the Powell direction set method. Experimental results are presented to demonstrate that the algorithm is effective for aligning images from single or multiple imaging modalities without the use of any fiducial markers.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE Comp Soc
Pages272-275
Number of pages4
Volume3
StatePublished - Dec 1 1997
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: Oct 26 1997Oct 29 1997

Other

OtherProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period10/26/9710/29/97

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Liang, Z-P., Pan, H., Magin, R. L., Ahuja, N., & Huang, T. S. (1997). Automated registration of multimodality images by maximization of a region similarity measure. In IEEE International Conference on Image Processing (Vol. 3, pp. 272-275). IEEE Comp Soc.