• DocumentCode
    3407179
  • Title

    Study of star image detecting technology in daytime strong background

  • Author

    Ming, Zhu ; Xiang-Hen, Shen ; Chuan, Wu

  • Author_Institution
    Changchun Inst. of Opt. Fine Mechanics & Phys., Chinese Acad. of Sci., Changchun, China
  • Volume
    1
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    745
  • Abstract
    For the purpose of measuring star in daytime, this paper presents a method of detecting a star body in daytime strong background. Using fuzzy entropy threshold to detect star object in daytime strong background. The fuzzy set theory has been successfully applied to many application areas, such as image processing, auto control, pattern recognition, etc. In this paper fuzzy theory and maximum entropy principle are applied to select the threshold value for gray-level image. Based on a lot of articles of scholars, this paper improves the membership function to save time of calculation. We have adopted to different methods to image of star body in daytime strong background. The experimental results demonstrate that the proposed approach can select the threshold automatically and effectively.
  • Keywords
    astronomy; fuzzy set theory; maximum entropy methods; object detection; stars; auto control; daytime strong background; fuzzy entropy threshold; fuzzy set theory; gray-level image; image processing; maximum entropy principle; pattern recognition; star image detecting technology; star object detection; threshold value; Digital images; Entropy; Image processing; Image segmentation; Object detection; Pattern recognition; Physics; Space technology; Systems engineering and theory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1452770
  • Filename
    1452770