Research on image processing algorithms of image stabilization testing for sighting telescope based on cross lines

Shou Kun Wang*, Jun Jie Guo, Jun Zheng Wang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Principle of image stabilization testing for sighting telescope based on collimator and CCD is analyzed, and image processing algorithms for stabilization image based on cross lines are researched including power integration algorithm based on grey integration and linear fitting algorithm based on least square. Power integration algorithm with advantage of definite physical interpretation and simple calculating procedure can quickly acquire the centre of cross lines by way of searching points with maximum energy, but its accuracy and repeatability are not ideal because of noise interference. Linear fitting algorithm based on power algorithm locates the centre of cross lines by means of fitting two vertical cross lines and calculating their cross-point. Theoretical analysis and testing research show that linear fitting algorithm with higher precision and stability is ideal image processing algorithms in image stabilizing testing for sighting telescope based on cross lines.

Original languageEnglish
Title of host publicationProceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
DOIs
Publication statusPublished - 2009
Event2009 2nd International Congress on Image and Signal Processing, CISP'09 - Tianjin, China
Duration: 17 Oct 200919 Oct 2009

Publication series

NameProceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

Conference

Conference2009 2nd International Congress on Image and Signal Processing, CISP'09
Country/TerritoryChina
CityTianjin
Period17/10/0919/10/09

Keywords

  • Cross lines
  • Linear fitting algorithm
  • Power integration algorithm

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