A rapid and automatic image registration algorithm with subpixel accuracy.

Published

Journal Article

A number of digital imaging techniques in medicine require the combination of multiple images. Using these techniques, it is essential that the images be adequately aligned and registered prior to addition, subtraction, or any other combination of the images. This paper describes an alignment routine developed to register an image of a fixed object containing a global offset error, rotation error, and magnification error relative to a second image. The described routine uses sparsely sampled regional correlation in a novel way to reduce computation time and avoid the use of markers and human interaction. The result is a fast, robust, and automatic alignment algorithm, with accuracy better than about 0.2 pixel in a test with clinical computed radiography images.

Full Text

Duke Authors

Cited Authors

  • Althof, RJ; Wind, MG; Dobbins, JT

Published Date

  • June 1997

Published In

Volume / Issue

  • 16 / 3

Start / End Page

  • 308 - 316

PubMed ID

  • 9184893

Pubmed Central ID

  • 9184893

International Standard Serial Number (ISSN)

  • 0278-0062

Digital Object Identifier (DOI)

  • 10.1109/42.585765

Language

  • eng

Conference Location

  • United States