• DocumentCode
    2521570
  • Title

    Fast location of corn images based on position features

  • Author

    Chen, Li-Jun ; Ren, Wen-Tao ; Li, Yong-Kui

  • Author_Institution
    Coll. of Eng., Shenyang Agric. Univ., Shenyang, China
  • fYear
    2010
  • fDate
    9-11 April 2010
  • Firstpage
    272
  • Lastpage
    275
  • Abstract
    Fast and accurate positioning of corn image is a premise to variable spray. In this paper, a method of locating the centre of strains based on over-segmentation positioning block projection was raised against the growth characteristics and overlapping leaves of hole-sowing plant. Hole-sowing corn was studied as the research objective. Tests showed that the locating error was within 30mm, and the locating time was 16ms, which met the precision and real-time requirements of spray. This method was applicable to location for all stages of seedling crops.
  • Keywords
    feature extraction; image segmentation; corn image location; feature positioning; hole-sowing corn; hole-sowing plant; over-segmentation positioning block projection; time 16 ms; CMOS image sensors; Cameras; Crops; Image segmentation; Layout; Machine vision; Robustness; Soil; Spraying; Testing; image procession; location features; projection positioning; variable spray; weed identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing (IASP), 2010 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4244-5554-6
  • Electronic_ISBN
    978-1-4244-5556-0
  • Type

    conf

  • DOI
    10.1109/IASP.2010.5476114
  • Filename
    5476114