• DocumentCode
    2841744
  • Title

    The application of one improved segmentation technology in the aero-engine endoscope detection

  • Author

    Luo, Yunlin ; Zhang, Xiaowei

  • Author_Institution
    Aeronaut. Autom. Coll., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    3886
  • Lastpage
    3890
  • Abstract
    This paper is based on the method of clustering technology, proposed a simple and effective method for color image segmentation. Using the color image segmentation techniques and morphological post-processing techniques in the target search and segmentation process. We proposed a rejection clustering method to the extraction of the target. The result of the experiment that this paper proposed has proven its effectiveness, and can be better used in aviation engine´s endoscope detection.
  • Keywords
    aerospace computing; aerospace engines; aircraft maintenance; image colour analysis; image segmentation; pattern clustering; aero-engine endoscope detection; color image segmentation technology; morphological post-processing technique; rejection clustering method; Aircraft propulsion; Automation; Clustering methods; Color; Concrete; Educational institutions; Endoscopes; Engines; Image segmentation; Pixel; Endoscope Detection; Image Segmentation; Pixel Technology; Rejection Clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498469
  • Filename
    5498469