Volume 6 Number 2 (Feb. 2011)
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JSW 2011 Vol.6(2): 225-232
doi: 10.4304/jsw.6.2.225-232

Research on Target Detection and Automatic Extraction of Region of Interest in Infrared Serial Images

Hu Guang 1 , Yuan Shengzhi 2

  • 1 School of Computer Science & Technology, Yantai University, Yantai, China
  • 2 Department of Science and Technology of Weapons, Naval Aeronautical Engineering Institute, Yantai, China

Abstract

Infrared imaging guidance is a research hotspotin accurate terminal guidance field now. An idea onautomatic extraction of region (ROI) of interest in infraredserial images is proposed in order to treat intelligentlyinfrared serial images which are captured. The targetdetection algorithm of target is researched and the applyingscene of the target detection algorithm is confirmed basedon analysis for the features of infrared serial images.According to differences of detection algorithm for infraredserial images between static and dynamic scenes, thecorresponding detection and extraction algorithm of ROI isdiscussed respectively. The algorithms are all simulated inreal scene. A new stepwise approaching and recurringthreshold search algorithm based on two-dimensionalmaximum entropy principle was proposed by studyingrecurring formulation optimized of two-dimensionalmaximum entropy in order to realize to detect target andextract ROI of serial images under complex background.The algorithm above realizes automatic extraction of ROI inInfrared serial images. The results improve the efficiency ofaccurate terminal guidance and they have good applicationvalue by practicing.

Keywords

  • infrared serial images
  • ROI
  • target dete
jsw0602-8

How to Cite

Copied

Hu Guang and Yuan Shengzhi, "Research on Target Detection and Automatic Extraction of Region of Interest in Infrared Serial Images," Journal of Software, vol. 6, no. 2, pp. 225-232, 2011. https://doi.org/ 10.4304/jsw.6.2.225-232

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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