Journal of Heuristics

, Volume 18, Issue 1, pp 169–192 | Cite as

GRASP and path relinking hybridizations for the point matching-based image registration problem

  • José Santamaría
  • Oscar Cordón
  • Sergio Damas
  • Rafael Martí
  • Ricardo J. Palma
Article

Abstract

In the last decade, image registration has proven to be a very active research area when tackling computer vision problems, especially in medical applications. In general, image registration methods aim to find a transformation between two images taken under different conditions. Point matching is an image registration approach based on searching for the right pairing of points between the two images, which involves a combinatorial optimization problem. From this matching, the registration transformation can be inferred by means of numerical methods.

In this paper, we tackle the medical image registration problem by means of a recent hybrid metaheuristic composed of two well-known optimization methods: GRASP and path relinking. Several designs based on this new hybrid approach have been tested. Our experimentation with real-world problems shows the combination of GRASP and evolutionary path relinking performs well when compared to previous state-of-the-art image registration approaches adopting both the point matching and transformation parameter approaches.

Keywords

Metaheuristics GRASP Path relinking Scatter search Computer vision Medical image registration 

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • José Santamaría
    • 1
  • Oscar Cordón
    • 2
    • 3
  • Sergio Damas
    • 2
  • Rafael Martí
    • 4
  • Ricardo J. Palma
    • 5
  1. 1.Department of Computer Science, EPS de LinaresUniversity of JaénJaénSpain
  2. 2.European Centre for Soft Computing, Edif. Científico-TecnológicoMieresSpain
  3. 3.Department of Computer Science and Artificial Intelligence, E.T.S.I. Informática y TelecomunicaciónUniversity of GranadaGranadaSpain
  4. 4.Department of Statistics and Operations Research, Facultad de MatemáticasUniversity of ValenciaBurjassotSpain
  5. 5.Department of Computer Science and Artificial Intelligence, ETSIITUniversity of GranadaGranadaSpain

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