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Detecting Insulators in the Image of Overhead Transmission Lines

  • Jingjing Zhao
  • Xingtong Liu
  • Jixiang Sun
  • Lin Lei
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7389)

Abstract

Detecting and localizing the insulators automatically are very important to intelligent inspection, which are the prerequisites for fault diagnose. A novel method for insulators detection in the image of overhead transmission lines based on lattice detection is presented in this paper. Firstly, low-level visual features of images are analyzed, feature points are generated and grouped by their appearance similarities through mean shift clustering; then a insulator lattice model consistent with the geometric relationship between candidate point clusters is proposed by voting mechanism; subsequently, performing lattice finding using an MRF model, combined with the spatial context information to localize multiple insulators jointly; Finally, extracting the minimum bounding rectangle of the target image. Since the location of each insulator is constrained by its neighbors, each of them provides knowledge about the others, the MRF model is a natural choice for inferring insulators locations while enforcing spatial lattice constraints and image likelihood constraints. The experimental results indicate that the method can effectively detect the deformed insulators of different kinds under complex background.

Keywords

insulator detection overhead transmission lines deformed lattice detection texture features MRF intelligent inspection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jingjing Zhao
    • 1
  • Xingtong Liu
    • 1
  • Jixiang Sun
    • 1
  • Lin Lei
    • 1
  1. 1.School of Electronic Science and EngineeringNational University of Defense TechnologyChangshaP.R. China

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