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Registration of Infrared and Visible Images Based on Edge Extraction and Phase Correlation Approaches

  • Jan Klimaszewski
  • Marcin Kondej
  • Mariusz Kawecki
  • Barbara Putz
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 184)

Summary

The paper presents test results of several edge detectors intended to be used for multimodal image registration. It was found that application of edge detectors before running phase correlation algorithms allows achievement of good quality of registration and assure simultaneously high performance of registration necessary particularly in real time applications. Canny edge detector implemented in OpenCV and its simplification, Harris edge detector and two types of morphological edge detectors: basic and extended have been tested. It has been shown that OpenCV implementation of Canny algorithm gives best translation coefficients for IR and TV images registration. The results show that edge extraction with subsequent phase correlation is a very promising for multisensor image registration.

Keywords

Image Registration Canny Edge Detector Phase Correlation Edge Extraction Harris Corner Detector 
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 2013

Authors and Affiliations

  • Jan Klimaszewski
    • 1
  • Marcin Kondej
    • 1
  • Mariusz Kawecki
    • 1
  • Barbara Putz
    • 1
  1. 1.Institute of Automatic Control and RoboticsWarsaw University of TechnologyWarsawPoland

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