• DocumentCode
    3148352
  • Title

    Water droplets segmentation for hydrophobicity classification

  • Author

    Liang, Chao ; Yang, Wenming ; Liao, Qingmin

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Shenzhen, China
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    1181
  • Lastpage
    1184
  • Abstract
    In this paper, we propose an effective water droplets segmentation algorithm based on HSV color space and watershed method. Water droplets segmentation is the key issue to design an automatic hydrophobicity classification algorithm, and the challenge is two-fold: highlight spots on water droplets and the transparency of water. By decomposing the color images into HSV color space, water droplets are easy to be separated in the saturation channel, and watershed method is incorporated to reduce the side-effect of highlight spots. Experimental results on real images demonstrate the advantage of our proposed method.
  • Keywords
    drops; edge detection; hydrophobicity; image classification; image colour analysis; image segmentation; HSV color space; automatic hydrophobicity classification algorithm; color image decomposition; edge detection; highlight spot side-effect reduction; saturation channel; water droplet segmentation algorithm; water transparency; watershed method; Algorithm design and analysis; Brightness; Color; Image color analysis; Image edge detection; Image segmentation; Insulators; HSV color space; edge detection; hydrophobicity classification; rubber insulators; watershed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288098
  • Filename
    6288098