• DocumentCode
    3313878
  • Title

    A PET Bottle Mouth Detection Method Based on Morphologic

  • Author

    Lv, Zhenhan ; Lin, Liqun ; Jin, Taisong ; Li, Yuan

  • Author_Institution
    Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
  • Volume
    1
  • fYear
    2010
  • fDate
    28-31 May 2010
  • Firstpage
    473
  • Lastpage
    476
  • Abstract
    During the production of PET bottles, we must detect the roundness and flaws of the bottle mouth in order to prolong the guarantee period of the drink. After obtaining the images from the product line, we used both common and morphologic method to denoise. Then we extracted the region of interest by enhancing the contrast and binary. We scan from the horizontal and vertical direction to form a grid. And Scan from another two perpendicular axes to form a new grid. We located the centre of the bottle mouth and check whether it is round enough by these multi-direction grids. At last, we used radial scanning to detect the scratches. We calculated the points in each of the sweep intervals and recognized the scratches by choosing a reasonable threshold. Comparing to the core method and Hough Transform method [1], the method to locate the centre of the round is simpler and faster. And we can check the roundness and detect the flaws efficiently. In experiments, we can detect the scratch in size of 0.15mm which can meet the demand of the industrial production.
  • Keywords
    Civil engineering; Computer architecture; Embryo; Filling; Image edge detection; Mouth; Neck; Optimization methods; Positron emission tomography; Production; bottle mouth detection; circle location; morphologic denoise; radial scan; scratch detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
  • Conference_Location
    Huangshan, Anhui, China
  • Print_ISBN
    978-1-4244-6812-6
  • Electronic_ISBN
    978-1-4244-6813-3
  • Type

    conf

  • DOI
    10.1109/CSO.2010.211
  • Filename
    5533081