Paper Title:
Infrared and Visible Image Registration Base on SIFT Features
  Abstract

In the System of Target Tracking Recognition, infrared sensors and visible light sensors are two kinds of the most commonly used sensors; fusion effectively for these two images can greatly enhance the accuracy and reliability of identification. Improving the accuracy of registration in infrared light and visible light images by modifying the SIFT algorithm, allowing infrared images and visible images more quickly and accurately register. The method can produce good results for registration by infrared image histogram equa-lization, reasonable to reduce the level of Gaussian blur in the pyramid establishment process of sift algorithm, appropriate adjustments to thresholds and limits the scope of direction of sub-gradient descriptor. The features are invariant to rotation, image scale and change in illumination.

  Info
Periodical
Chapter
Chapter 2: Microwaves Optics and Image
Edited by
David Wang
Pages
383-389
DOI
10.4028/www.scientific.net/KEM.500.383
Citation
K. W. Yang, T. H. Chen, S. X. Xing, J. X. Li, "Infrared and Visible Image Registration Base on SIFT Features", Key Engineering Materials, Vol. 500, pp. 383-389, 2012
Online since
January 2012
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Price
$32.00
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