• DocumentCode
    1585948
  • Title

    An automatic classification method for betel nut based on computer vision

  • Author

    Liu, Tong ; Xie, Jianbin ; He, Yizheng ; Xu, Ming ; Qin, Chengang

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2009
  • Firstpage
    1264
  • Lastpage
    1267
  • Abstract
    In order to solve the problem of betel nuts´ misclassification by manual ways, an automatic classification method based on computer vision is proposed in this paper. The new method achieves automatic classification by extracting color features, shape features and texture features of betel nuts. Experiments show that this method has good effect, high speed and can satisfy the real-time classification on production line.
  • Keywords
    computer vision; feature extraction; image classification; image texture; real-time systems; automatic classification method; betel nuts misclassification; color feature extraction; computer vision; real-time classification; shape feature extraction; texture feature extraction; Artificial neural networks; Chemical industry; Color; Computer vision; Fires; Food industry; Helium; Image processing; Production; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-4774-9
  • Electronic_ISBN
    978-1-4244-4775-6
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.5420823
  • Filename
    5420823