• DocumentCode
    483293
  • Title

    Research on Segmentation Methods of Weed and Soil Background Under HSI Color Model

  • Author

    Li Dong-ming ; Wang Yuan-zhi ; Du Bo

  • Author_Institution
    Mech. & Electr. Coll., Agric. Univ. of Hebei, Baoding
  • fYear
    2009
  • fDate
    23-25 Jan. 2009
  • Firstpage
    628
  • Lastpage
    631
  • Abstract
    In view of the complex background in the weed detection, the research used the H component under HSI the color model to divide the soil background. Considered the real-time operation, it used the automatic threshold value segmentation method, and carried on the suitable erosion and dilation, realized the weed area and the background area segmentation. The result indicated that it was possible of using above methods to obtain suited to segmentation of color space and the color characteristic component; therefore, it was practical and effective for threshold value parameter as the attribute image color information to segment weed from background area.
  • Keywords
    computer vision; image colour analysis; image segmentation; HSI color model; dilation; erosion; image segmentation; machine vision; soil; weed; Computer displays; Data mining; Educational institutions; Image analysis; Image processing; Image segmentation; Image storage; Machine vision; Soil; Spraying; dilation; erosion; image segmentation; machine vision; weed detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3543-2
  • Type

    conf

  • DOI
    10.1109/WKDD.2009.113
  • Filename
    4772015