• DocumentCode
    2099554
  • Title

    Research on Edge Detection and Description of Packaged Grain Image

  • Author

    Lin, Ying ; Fang, Xing-lin ; Sun, Yan-hong ; Sun, Yue-heng

  • Author_Institution
    Coll. of Manage., Chongqing Jiao Tong Univ., Chongqing, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    708
  • Lastpage
    711
  • Abstract
    The technique core of grain reserves automatical supervision and audit system which based on video is to identify the grain warehouse scene video, and accurately gets the sum of grain quantity. The key to identifying the quantity is the shape of package, and the key to identifying shape is processing and describing the boundary of package. Based on a lot of research and experiment on the edge detection operators, this article select the canny operator and chain code to process and describe the boundary of package. Aiming at the boundary is not absolute connectivity, the closure operation of Mathematical Morphology is introduced to do pretreatment on binary image of packaged grain. Finally the boundary is absolute connectivity. Experiments show that the proposed method enhances the anti-jamming and robustness of edge detection, and satisfy precision request of packaged grain quantify recognition.
  • Keywords
    edge detection; mathematical morphology; video signal processing; absolute connectivity; anti-jamming; audit system; automatical supervision; binary image; canny operator; chain code; edge detection; grain warehouse scene video; mathematical morphology; packaged grain image; Computer science; Educational institutions; Image analysis; Image edge detection; Morphology; Packaging; Pixel; Robustness; Shape; Sun; Mathematical Morphology; chain code; edge detection; packaged grain; quantity recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.72
  • Filename
    4731721