• DocumentCode
    518850
  • Title

    The smoothing noise methods based on self-adaptive filtering for crop leaf image

  • Author

    Xin, Long

  • Author_Institution
    Shenyang Ligong Univ., Shenyang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    543
  • Lastpage
    546
  • Abstract
    This paper choose self-adaptive filtering method to smooth noise for the crop leaf image. This method adjusts the output of filter according to the local variance of the image, and store the edge, high-frequency detail of crop leaf image. The experiment indicates that it´s very convenient to calculate the filter parameters, and filter the image, that is no better than linear filters with needing more computing time.
  • Keywords
    crops; image denoising; noise; smoothing methods; crop leaf image; image local variance; self-adaptive filtering method; smoothing noise methods; Additive noise; Crops; Filtering; Image segmentation; Noise reduction; Nonlinear filters; Pixel; Shape; Smoothing methods; Visual effects; Crop leaf image; Self-adaptive filtering; Smooth noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5487124
  • Filename
    5487124