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http://dx.doi.org/10.3795/KSME-A.2011.35.2.175

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

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)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.35, no.2, 2011 , pp. 175-181 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 1
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