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An Improved Image Registration Method for Infrared and Visible Images

  • Ningning DingEmail author
  • Jingchang Zhuge
  • Shujian Xing
  • Yang Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 582)

Abstract

Aiming at solve the problem that it is difficult to match the infrared and visible image of aircraft surface in the same scene, an improved registration algorithm is proposed. It is aiming to obtain more complementary information of residual ice. Firstly, the infrared image enhanced by the image enhancement algorithm based on fuzzy logic, so that the details and the contour become more clear. It also effectively reduces the number of feature points to be extracted. Secondly, in order to solve the problem of high mismatch rate of speeded up robust features (SURF) algorithm, the constraint condition of slope consistency has been used to eliminate the number of mismatch points. Finally, the RANSAC algorithm is used to further improve the matching speed and accuracy. Experimental results show that the proposed method has better rapidity and accuracy.

Keywords

Image registration Fuzzy logic SURF algorithm Slope consistency 

Notes

Acknowledgements

This work was supported in part by the Open Fund of Tianjin Key Lab for Advanced Signal Processing under Grant 2017 ASP-TJ02, the National Natural Science Foundation of China under Grant 61405246, and CAUC Fund under Grant 3122017005.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ningning Ding
    • 1
    Email author
  • Jingchang Zhuge
    • 1
  • Shujian Xing
    • 1
  • Yang Wang
    • 2
  1. 1.College of Electronic Information and AutomationCivil Aviation University of ChinaTianjinChina
  2. 2.Tianjin Key Lab for Advanced Signal ProcessingCivil Aviation University of ChinaTianjinChina

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