• DocumentCode
    3773630
  • Title

    Research on Mine Belt Image Compression and Transmission Algorithm

  • Author

    Rui Gao;Changyun Miao;Jie Li;Yanli Yang

  • Author_Institution
    Sch. of Mech. Eng., Tianjin Polytech. Univ., Tianjin, China
  • Volume
    2
  • fYear
    2015
  • Firstpage
    271
  • Lastpage
    274
  • Abstract
    On-line damages detection of mine conveyor belt is developed by using machine vision technology. By analyzing the feature of images collected by the CCD camera for the Mine Conveyer Belt, an algorithm of JPEG encoding based on linear difference is proposed for compressing and transmission, which solves the problem of high efficiency and real-time transmission of image data. A method based on the parameter test is proposed in the algorithm for transmission error control. The algorithm can effectively reduce the amount of data transmission, and can ensure the real-time performance of the network, which has important application value in the detection system based on machine vision.
  • Keywords
    "Image coding","Transform coding","Belts","Discrete cosine transforms","Encoding","Charge coupled devices","Decoding"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
  • Print_ISBN
    978-1-4673-9586-1
  • Type

    conf

  • DOI
    10.1109/ISCID.2015.227
  • Filename
    7469131