• DocumentCode
    709696
  • Title

    An intelligent method of detecting pork freshness based on digital image processing

  • Author

    Chang Huiyou ; Li Hao ; Hu Yongjun

  • Author_Institution
    Sch. of Software, Sun Yat-sen Univ., Guangzhou, China
  • fYear
    2015
  • fDate
    17-18 Jan. 2015
  • Firstpage
    107
  • Lastpage
    110
  • Abstract
    In this paper, an improved pork freshness detecting method based on digital image processing and BP neutral network was presented. The shape of the slaughtering fresh pork cell was oval and smooth and it will change obviously in the process of pork corruption. The edge of cell will rupture and merge together until being absolutely misshapen. Seven characteristic parameters about cell shape would be extracted to stand for the level of corruption. And designs then correspond to the pork freshness standard TVB-N and characteristic parameters finally trained by BP neural network. The experimental results showed that the characteristic parameter about cell shape could detect the freshness effectively.
  • Keywords
    backpropagation; edge detection; food processing industry; food products; neural nets; production engineering computing; BP neural network; TVB-N; cell shape; digital image processing; intelligent method; pork corruption; pork freshness detection; slaughtering fresh pork cell; Biology; Business; Image edge detection; Microscopy; Nitrogen; BP nueral network; TVB-N; characteristic parameter; digital image processing; freshness detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Internet of Things (ICIT), 2014 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-7533-4
  • Type

    conf

  • DOI
    10.1109/ICAIOT.2015.7111549
  • Filename
    7111549