Earticle

초록

영어

This paper first analyzed the structure and the edge symmetry of insulator and divided the insulator into 8 kinds of edge according to these characteristics. Then it improved the algorithms that segment and label the region of interest (ROI) based on the depressed region of insulator, which makes labeling multi-insulators in a single image solved. To accurately extract the edge of insulator from the ROI, this paper proposed the double thresholds edge detecting method on account of parallax principle in binocular vision, avoiding of the deficiency of under-filtering and over-filtering within the single threshold method based on monocular vision. It analyzed and removed local and global irrelevant pixels using statistical methods, thereby stereoscopically matched the pixels in each ROI and calculated their 3D coordinates. Then 2 vectors are constructed based on the maximum and minimum of the Z coordinate component: the vertical vector and the direction vector of the insulator. Finally, every swing angle can be calculated using the inner product method. Experiment results show that the relative error of this method is less than 1.3%, it not only has higher accuracy than the traditional method, but also avoids the low efficiency of a single swing angle measurement of traditional method.

목차

Abstract
 1. Introduction
 2. Improved ROIs Label Method
  2.1. Edge Symmetry
  2.2. Strength Analysis
  2.3.Improved Edge Tracking Algorithm
 3. Object Detecting based on Binocular Vision
  3.1.Double Threshold Detection Method based on Binocular Vision
  3.2.Removal Irrelevant Points based on the Statistical Analysis
 4. Binocular Vision Ranging and SwingAangle Calculation
  4.1.Binocular Vision Ranging Calculation Principle
  4.2.The Swing Angle Calculation
  4.3.Analysis of the Experiment Results
 5. Conclusions
 References

키워드

저자

• Rongbao Chen [ School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China ]
• Yang Li [ School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China ]
• Tianze Fei [ School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China ]
• Dongbo Weng [ Huainan Power Supply Company, State Grid, Huainan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605