• DocumentCode
    3307706
  • Title

    Method for Recognizing Insulator from Airborne Image

  • Author

    Zhang, Xinye ; An, Jubai ; Wu, Qinggang

  • Author_Institution
    Dalian Maritime Univ., Dalian, China
  • fYear
    2012
  • fDate
    12-14 Jan. 2012
  • Firstpage
    604
  • Lastpage
    607
  • Abstract
    In the paper, for airborne image by helicopter on power grid, we propose a method to recognize tempered glass insulator based on intensity information. This method employs the morphology, connected components extraction and threshold value of mean segmentation. The feature of tempered glass insulator on image is reflected its intensity information. Firstly, the intensity image is preprocessed by reducing noise. Secondly, morphological erosion is applied. Thirdly, we can extract the area by 1 in the preprocessed image as connected components, which include the part of insulator and noise. Finally, by setting the mean value as the threshold value, the connected component is classified into two parts: insulator or not. Experiments illustrated that tempered glass insulator in image can be recognized by the proposed method with little mistakes.
  • Keywords
    helicopters; image recognition; image segmentation; insulators; power grids; airborne image; connected components extraction; helicopter; intensity information; mean segmentation; morphological erosion; power grid; tempered glass insulator; threshold value; Glass; Image recognition; Image segmentation; Insulators; Morphology; Noise; Power grids; Extraction of connected components; HSI; Mean; Morphology; Power Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-1-4673-0470-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2012.157
  • Filename
    6150176