• DocumentCode
    2252970
  • Title

    Automatic detection of wheat flour precision based on image processing

  • Author

    Liu Yan Li ; Mei, Zhang Hong ; Tie, Wang Jian

  • Author_Institution
    Dept. of Inf. Sci. & Technol., Henan Univ. of Technol., Zhengzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    149
  • Lastpage
    152
  • Abstract
    In order to efficient, objective and comprehensive assessment of wheat flour processing accuracy, this paper introduces a new method to detect the wheat flour processing precision; it uses wheat flour three features of Whiteness, color, bran to design classifiers. The 240 different accuracy wheat sample images were analyzed and tested, experimental results show that CIE L*a*b*and OTSU algorithm can effectively extract of wheat color features and content of bran, classifier also achieves the expected effect.
  • Keywords
    feature extraction; image processing; OTSU algorithm; ant colony algorithm; color features; image processing; wheat flour precision automatic detection; Brightness; Feature extraction; Image color analysis; Image converters; Image processing; Information science; Pixel; Robotics and automation; Testing; Zinc; ant colony algorithm; color feature; fuzzy Cmeans; fuzzy recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456881
  • Filename
    5456881