• DocumentCode
    3444140
  • Title

    Detecting citrus fruits with shadow within tree canopy by a fusing method

  • Author

    Lu, Jun ; Sang, Nong ; Ou, Yangyan ; Huang, Zhuo ; Shi, Pujuan

  • Author_Institution
    Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    1229
  • Lastpage
    1232
  • Abstract
    In order to guide the robots for harvesting citrus fruit, a method based on hue map and chromatic aberration map was developed to detect citrus fruits with shadow within tree canopy.Thirteen color images of natural citrus-grove scene were photoed, and the color properties of target objects were analyzed. A rule for segmenting citrus fruit from background was put forward that the pixel belongs to citrus fruits if the value of R subtracted by B is larger than the threshold value(T),and the citrus fruit with shadow can be detected correctly from the tree canopy by fusing the segmented results of hue map. The results show that the fruits with shadow can be identified integrally using the proposed method.
  • Keywords
    Machine vision; detection; mature orange; shadow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2012 5th International Congress on
  • Conference_Location
    Chongqing, Sichuan, China
  • Print_ISBN
    978-1-4673-0965-3
  • Type

    conf

  • DOI
    10.1109/CISP.2012.6469750
  • Filename
    6469750