• DocumentCode
    2851828
  • Title

    Image feature extraction of crop disease

  • Author

    Song, Yinmao ; Diao, Zhihua ; Wang, Yunpeng ; Wang, Huan

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    448
  • Lastpage
    451
  • Abstract
    This article described the feature extraction methods of crop disease based on computer image processing technology in detail. Based on color, texture and shape feature extraction method in three aspects features and their respective problems were introduced start from the perspective of lesion leaves. Application research of image feature extraction in the filed of crop disease was reviewed in recent years. The results were analyzed that about feature extraction methods, and then the application of image feature extraction techniques in the future detection of crop diseases in the field of intelligent was prospected.
  • Keywords
    crops; diseases; feature extraction; image processing; computer image processing technology; crop disease; feature extraction methods; image feature extraction; intelligent field; lesion leaves; Feature extraction; Lead; Shape; Image processing; color; crop diseases; feature extraction; shape; texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2363-5
  • Type

    conf

  • DOI
    10.1109/EEESym.2012.6258689
  • Filename
    6258689