• DocumentCode
    3483641
  • Title

    Algorithm research on location of bottle mouth and bottom in intelligent empty bottle inspection system

  • Author

    Ma, Sile ; Huang, Bin ; Wang, Huajie ; Guo, Junmei

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Ji´´nan, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    819
  • Lastpage
    824
  • Abstract
    Intelligent empty bottle inspection system is an important inspection equipment of empty bottle before filling beer, it is a blend of machine vision, precision machine and realtime control. They need to cooperate perfectly to achieve the desired effect. In the design of the empty bottle inspection system, one of the key technologies is the location of the bottle mouth and bottom which affect the speed and accuracy of the inspection. In this paper, first of all, we process the image of the bottle mouth and bottom by de-noising, contrast enhancement and edge detection, then analyze the location of the bottle mouth and bottom. Finally, we put forward different location algorithms for the bottle mouth and bottom by their different characters. Experiments show that this method can effectively improve the precision of the location of the bottle mouth and bottom and it has great practical value.
  • Keywords
    automatic optical inspection; beverage industry; bottles; computer vision; computerised instrumentation; edge detection; image denoising; object detection; bottle bottom; bottle mouth location; contrast enhancement; edge detection; image denoising; intelligent empty bottle inspection system; machine vision; Control systems; Filling; Image analysis; Image edge detection; Inspection; Intelligent systems; Machine intelligence; Machine vision; Mouth; Noise reduction; edge detection; intelligent empty bottle inspection system; least square method; machine vision; randomized Hough transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262809
  • Filename
    5262809