A new infrared small and dim target detection algorithm based on multi-directional composite window

Xin Yang, Yanpei Zhou, Dake Zhou, Ruigang Yang, Yinji Hu

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Abstract This work presents a new method based on gray characteristic analysis for infrared dim small target detection under complex backgrounds. Firstly, an improved detection window with eight directions and three layers is introduced to investigate the gray distribution characteristic of different structure in an infrared image. Secondly, we adopt a pretreatment process based on morphology filter and mean filter to reduce the running time and propose a detection rule on characteristic analysis for infrared targets. Meanwhile a new parameter optimization algorithm based on fuzzy control theory is employed so that the detection rule could be independent of the initial parameters. Finally, experimental results indicate that the proposed method can effectively detect the dim small targets and has better tracking performance.

Original languageEnglish
Article number1779
Pages (from-to)402-407
Number of pages6
JournalInfrared Physics and Technology
StatePublished - Jul 10 2015

Bibliographical note

Funding Information:
This research was supported by the National Natural Science Foundation of China ( 61172135 ), by Science & Technology on Electro-optic Control Laboratory and Aeronautical Science Foundation of China ( 20145152027 ), by Foundation of Graduate Innovation Center in NUAA ( kfjj201426 ) and by the Fundamental Research Funds for the Central Universities .

Publisher Copyright:
© 2015 Elsevier B.V.


  • Gray characteristic
  • Improved detection window
  • Infrared dim small targets
  • Target detection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics


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