• DocumentCode
    3169120
  • Title

    A scorch extraction method for the Campbell-Stokes sunshine recorder based on multivariable thresholding

  • Author

    Qiaoyun Fan ; Ying Zhang

  • Author_Institution
    Instrum. Sci. & Opto-Electron. Eng. Dept., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    22-23 Oct. 2013
  • Firstpage
    410
  • Lastpage
    414
  • Abstract
    The Campbell-Stokes sunshine recorder is an instrument which can measure the solar radiation by using the scorch on the recorder card. It is short for C-S. The weak scorch and the strong scorch represent different solar radiation. The weak scorch is so hard to extract that the radiation represented by the weak scorch always be neglected. The present methods reduce the accuracy of extraction, because these methods only extract the strong scorch and falsely treat the weak scorch as background. The RGB (red, green, blue) color image has more details of scorch than gray image, so a new method for scorch extraction based on the multivariable thresholding is proposed in this paper. The method segments the scorch with self-adaptive thresholds and optimizes the extraction with the amendatory coefficient, consequently, the robustness and accuracy of the algorithm is improved.
  • Keywords
    atmospheric techniques; sunlight; Campbell-Stokes sunshine recorder; RGB color image; gray image; multivariable thresholding; scorch extraction method; self-adaptive thresholds; solar radiation; Accuracy; Color; Image color analysis; Image edge detection; Image segmentation; Solar radiation; Vectors; The C-S sunshine recorder; multivariable thresholding; scorch extraction; self-adaptive thresholds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques (IST), 2013 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-5790-6
  • Type

    conf

  • DOI
    10.1109/IST.2013.6729732
  • Filename
    6729732