A novel matching of MR images using gabor wavelets

Mehmet Ali Akinlar, Muhammet Kurulay, Aydin Secer, Mehmet Celenk

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

This study introduces a hybrid method for deformable matching of Magnetic resonance (MR) images by utilizing the advantages of both wavelets and variational calculus. Image matching problem is expressed as an optimal control problem and discretization of the resulting Euler-Lagrange equations is written in terms of the system of linear equations in the form of Au = f, where u is the image displacement field. Implementation of the algorithm exploits Gabor wavelet energy maps of MR images. The proposed algorithm provides an efficient MR matching technique. Experimental results proved that the method can match MR images better than the only variational or only wavelet-based methods.

Original languageEnglish
Pages (from-to)129-133
Number of pages5
JournalIETE Technical Review (Institution of Electronics and Telecommunication Engineers, India)
Volume30
Issue number2
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Gabor wavelets
  • Image matching
  • Magnetic resonance imaging

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