• DocumentCode
    2706071
  • Title

    Helicopter blades pyramid angle measurement based on panoramic vision technology

  • Author

    Jiang, Mai ; Liang, Wei ; Zhang, Xiaoling

  • Author_Institution
    Lab. of Ind. Control Networks & Syst., Shenyang Inst. of Autom., Shenyang, China
  • fYear
    2012
  • fDate
    6-8 June 2012
  • Firstpage
    470
  • Lastpage
    473
  • Abstract
    Helicopter plays an important role in the national defense industry. Helicopter blades pyramid angle is key test item in aircraft test technology. According to the previous rotor blades measurement methods, this paper proposes a new method based on panoramic vision technology. A group of inverse projection equations derived from panoramic spherical reductive algorithm for calculation of the blades height differences. The target blade real-time extraction was realized by using synchronization circuit to control the camera and the corresponding solving method on the panoramic image was studied. Image first segment adopted the pulse coupled neural network(PCNN) algorithm. The experimental results show that this method has higher accuracy and suitable for rotor blades pyramid measurement system and can be used in the future actual production process.
  • Keywords
    aircraft testing; angular measurement; blades; computer vision; helicopters; aircraft test technology; camera; helicopter blades pyramid angle measurement; inverse projection equations; national defense industry; panoramic image; panoramic spherical reductive algorithm; panoramic vision technology; pulse coupled neural network; rotor blades measurement; synchronization circuit; target blade real-time extraction; Blades; Equations; Helicopters; Image segmentation; Mathematical model; Measurement by laser beam; Rotors; PCNN; aircraft test technology; helicopter blades pyramid angle; inverse projection equations; panoramic vision technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2012 International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4673-2238-6
  • Electronic_ISBN
    978-1-4673-2236-2
  • Type

    conf

  • DOI
    10.1109/ICInfA.2012.6246852
  • Filename
    6246852