title: An Iterative Image Registration Algorithm by Optimizing Similarity Measurement.
abstract: A new registration algorithm based on Newton-Raphson iteration is proposed to align images with rigid body transformation. A set of transformation parameters consisting of translation in x and y and rotation angle around z is calculated by optimizing a specified similarity metric using the Newton-Raphson method. This algorithm has been tested by registering and correlating pairs of topography measurements of nominally identical NIST Standard Reference Material (SRM 2461) standard cartridge cases, and very good registration accuracy has been obtained.
authors.affiliation: National Institute of Standards and Technology, Gaithersburg, MD 20899.
authors.forename: Wei
authors.initials: W
authors.lastname: Chu
authors.affiliation: National Institute of Standards and Technology, Gaithersburg, MD 20899.
authors.forename: Li
authors.initials: L
authors.lastname: Ma
authors.affiliation: National Institute of Standards and Technology, Gaithersburg, MD 20899.
authors.forename: John
authors.initials: J
authors.lastname: Song
authors.affiliation: National Institute of Standards and Technology, Gaithersburg, MD 20899.
authors.forename: Theodore
authors.initials: T
authors.lastname: Vorburger
keywords: Newton-Raphson iteration; image registration; rigid body transformation; similarity measurement; standard casing