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A Noise-Robust Measuring Algorithm for Small Tubes Based on an Iterative Statistical Method

통계적 반복법에 기반한 노이즈에 강한 소형튜브 측정 알고리즘 개발

  • Kim, Hyoung-Seok (Team of Technical Development for Intelligent Vehicle Parts, Univ. of Ulsan) ;
  • Naranbaatar, Erdenesuren (School of Mechanical and Automotive Engineering, Univ. of Ulsan) ;
  • Lee, Byung-Ryong (School of Mechanical and Automotive Engineering, Univ. of Ulsan)
  • 김형석 (울산대학교 지능형자동차부품기술개발팀) ;
  • ;
  • 이병룡 (울산대학교 기계자동차공학부)
  • Received : 2010.07.05
  • Accepted : 2010.12.17
  • Published : 2011.02.01

Abstract

We propose a novel algorithm for measuring the radius of tubes. This proposed algorithm is capable of effectively removing added noise and measuring the radius of tubes within allowable precision. The noise is removed by using a candidate true center that minimizes the standard deviation with respect to the radius. Further, the disconnection in data points resulting from noise removal is solved by using a connection algorithm. The final step of the process is repeated until the value of the standard deviation decreases to a small predefined value. Experiments were performed using circle geometries with added noise and a real tube with complex noise and that is used in the braking units of automobiles. It was concluded that the measurement carried out using the algorithm was accurate within 1.4%, even with 15% added noise.

Keywords

Pipe;Standard Deviation;Computer Vision;Measurement;Error Minimization

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  1. Radius-Measuring Algorithm for Small Tubes Based on Machine Vision using Fuzzy Searching Method vol.35, pp.11, 2011, https://doi.org/10.3795/KSME-A.2011.35.11.1429