• DocumentCode
    2099835
  • Title

    Research on Key Technique of Weed Locating Based on Binocular Vision System

  • Author

    Wei-xing, Zhu ; Li-bing, Xia ; Feng, Xiong

  • Author_Institution
    Lab. of Jiangsu Province, Jiangsu Univ. Zhenjiang, Zhenjiang, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    754
  • Lastpage
    757
  • Abstract
    There are two aspects for locating precision of weed recognition system based on binocular vision. One is extraction of the feature points, and the other is distortion of camera lens used for image collecting. Some improvement has been made for these problems in this paper. Improving Harris operator makes the precision of feature point reach sub-pixel and rectifies image-distortion before calibrating the camera. Firstly, the one order radial distortion parameter is computed by the cross ratio invariability, and then collected image is rectified by the distortion parameter, finally, the camera is calibrated on the basis of the rectified image. The simulation results show that there is a light noise effect on the improved Harris operator, and the approach has a higher accuracy which can satisfy the need of locating precision of weed recognition system.
  • Keywords
    agriculture; calibration; cameras; computer vision; feature extraction; binocular vision system; camera calibration; feature extraction; image rectification; image-distortion; rectified image; weed recognition system; Approximation algorithms; Calibration; Cameras; Feature extraction; Lenses; Machine vision; Nonlinear distortion; Optical distortion; Polynomials; Spraying; binocular vision; camera calibration; image rectification; sub-pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.221
  • Filename
    4731732