Infrared and visual image point set registration based on sensor parameters and refined CPD algorithm

Peng Wang, Ying Hui Gao, Ping Wang, Zhi Guo Qu, Zhen Kang Shen

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In order to realize the FLIR and visual image registration effectively, an automatic registration algorithm based on sensor parameters and the refined CPD algorithm was proposed. Firstly, geometric rectification based on the attitude angle and height parameters was carried out to eliminate the rotation and scale discrepancies between the FLIR and visual images. Then the edges of visual image and rectified infrared image were extracted and a refined CPD algorithm was proposed for point set registration, the similarity transformation was adopted for fine image registration. Finally, the experiments on real FLIR data show that the proposed algorithm can realize the registration of infrared and visual images effectively and the registration precision can be around one pixel.

Original languageEnglish
Pages (from-to)171-176
Number of pages6
JournalHongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves
Volume31
Issue number2
DOIs
StatePublished - Apr 2012
Externally publishedYes

Keywords

  • Image registration
  • Infrared and visual images
  • Particle swarm optimization (PSO)
  • Point set registration
  • Refined coherent point drift (CPD)

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