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Improved Phase Correlation Matching

  • Javed Ahmed
  • M. Noman Jafri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5099)

Abstract

Phase correlation based template matching is an efficient tool for translation estimation which is in turn required for the image registration and the object tracking applications. When a template of an object is phase correlated with the search image, the resulting correlation surface is supposed to contain a sharp peak corresponding to the location of the object in the search image. However, the resulting surface also contains various false peaks which are sometimes higher in magnitude than the true peak. In order to solve the problem, we present an efficient and effective preprocessing technique that extends the images with new pixels having decaying values. The technique is compared with two recent methods on cluttered, noisy, blurred, and slightly rotated scenes. The results show that the proposed method outperforms both of them, especially when the object is away from the central region in the image.

Keywords

Search Image Phase Correlation Phase Corre True Peak Extended Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Javed Ahmed
    • 1
  • M. Noman Jafri
    • 1
  1. 1.Image Processing CentreNUST Military College of SignalsRawalpindiPakistan

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