• DocumentCode
    3157887
  • Title

    Grading System of the Meat Freshness Based on Plaque Characteristics

  • Author

    Guo Peiyuan ; Xiao Hongbing ; Yuan Fang

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on mathematical morphology method, the paper analyzed and calculated plaque area in the image of plaque bacteria though taking Hough transform to extract complete outline of fat cells. TVB-N values in the process of pork Corruption is taken for a sequence of inputs of SOM neural network used for the cluster analysis of TVB-N values and dividing pork freshness to five classes. Complying with national standard and sensory test results, it achieve the results of the test to class the pork freshness.
  • Keywords
    Hough transforms; food products; mathematical morphology; neural nets; self-organising feature maps; Hough transform; SOM neural network; cluster analysis; fat cells; grading system; mathematical morphology; meat freshness; plaque bacteria; Animals; Educational institutions; Glass; Image analysis; Image edge detection; Image processing; Microorganisms; Morphology; Paper technology; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2151-7614
  • Print_ISBN
    978-1-4244-4712-1
  • Electronic_ISBN
    2151-7614
  • Type

    conf

  • DOI
    10.1109/ICBBE.2010.5518320
  • Filename
    5518320