Novel detection method for infrared small targets using weighted information entropy

Xiujie Qu, He Chen*, Guihua Peng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)

Abstract

This paper presents a method for detecting the small infrared target under complex background. An algorithm, named local mutation weighted information entropy (LMWIE), is proposed to suppress background. Then, the grey value of targets is enhanced by calculating the local energy. Image segmentation based on the adaptive threshold is used to solve the problems that the grey value of noise is enhanced with the grey value improvement of targets. Experimental results show that compared with the adaptive Butterworth high-pass filter method, the proposed algorithm is more effective and faster for the infrared small target detection.

Original languageEnglish
Article number6403992
Pages (from-to)838-842
Number of pages5
JournalJournal of Systems Engineering and Electronics
Volume23
Issue number6
DOIs
Publication statusPublished - 2012

Keywords

  • Adaptive threshold
  • Grey value of target
  • Infrared small target detection
  • Local mutation weighted information entropy (LMWIE)

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