An optimal control formulation of an image registration problem

Eunjung Lee, Max Gunzburger

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

The basic idea of image registration is to find a reasonable transformation of an image so that the resulting difference between it and another image is made small. We derive an optimal control method for determining such a transformation; the approach is based on the grid deformation method and seeks to minimize an objective functional that measures the difference between the transformed image and the reference image. The existence of an optimal transformation is proved as is the applicability of the Lagrange multiplier method. Then, an optimality system from which optimal transformations can be obtained is derived.

Original languageEnglish
Pages (from-to)69-80
Number of pages12
JournalJournal of Mathematical Imaging and Vision
Volume36
Issue number1
DOIs
Publication statusPublished - 2010 Jan 1

Fingerprint

Lagrange multipliers
Image registration
Image Registration
optimal control
Optimal Control
formulations
Formulation
Lagrange multiplier Method
Optimality System
Grid
Minimise
grids

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modelling and Simulation
  • Condensed Matter Physics
  • Computer Vision and Pattern Recognition
  • Geometry and Topology
  • Applied Mathematics

Cite this

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An optimal control formulation of an image registration problem. / Lee, Eunjung; Gunzburger, Max.

In: Journal of Mathematical Imaging and Vision, Vol. 36, No. 1, 01.01.2010, p. 69-80.

Research output: Contribution to journalArticle

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