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Target location method based on invariable moment feature matching

  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In infrared imaging matching navigating system, the image distorted transformations between reference images and real-time images can increase the difficulty of imaging matching, for two kinds of images are taken unsimultaneously at different heights and different view points. Based on the basic principles of infrared imaging, effect of the difference in the ground resolution of infrared imaging on the invariability of invariable moment features is discussed in this paper. The expression of six-dimension invariable moment feature vectors of images in different ground resolutions is derived. Discussed results show that the feature vector is invariable for images in complex transformations on translation, rotation, noise adding and differences in resolution, and can be used as the features in the application of imaging matching location. The Camberra distance as the image matching metric between real-time image and reference image is proposed. The method is proved correct and feasible in experiment part.

Original languageEnglish
Pages (from-to)460-468
Number of pages9
JournalGuangxue Jingmi Gongcheng/Optics and Precision Engineering
Volume17
Issue number2
StatePublished - Feb 2009

Keywords

  • Camberra distance
  • Image matching
  • Infrared imaging
  • Invariable moment

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