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TCR:A Novel Target Consistency Registration Algorithm for GM-APD Range Image and Infrared Image

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Image registration algorithm is necessary for the fusion, but most existing image registration methods fail to register the GM-APD and infrared images. It limits the development of the fusion between the infrared and GM-APD images. To solve this problem, we propose a Target consistency registration algorithm (TCR), which is a novel registration method focusing on the infrared image and GM-APD image. The proposed algorithm can register the image pairs effectively, and the registration accuracy of far-distance registration is controlled within one pixel, which improves the registration accuracy nearly 30 times compared with the most advanced registration algorithm. It provides strong support for the extended application of GM-APD and infrared multimode detection.

Original languageEnglish
Title of host publication2024 IEEE Academic International Symposium on Optoelectronics and Microelectronics Technology, AISOMT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-51
Number of pages5
ISBN (Electronic)9798331542283
DOIs
StatePublished - 2024
Event2024 IEEE Academic International Symposium on Optoelectronics and Microelectronics Technology, AISOMT 2024 - Harbin, China
Duration: 21 Nov 202422 Nov 2024

Publication series

Name2024 IEEE Academic International Symposium on Optoelectronics and Microelectronics Technology, AISOMT 2024

Conference

Conference2024 IEEE Academic International Symposium on Optoelectronics and Microelectronics Technology, AISOMT 2024
Country/TerritoryChina
CityHarbin
Period21/11/2422/11/24

Keywords

  • GM-APD
  • infrared
  • registration
  • target consistency

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