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http://dx.doi.org/10.3795/KSME-A.2011.35.11.1429

Radius-Measuring Algorithm for Small Tubes Based on Machine Vision using Fuzzy Searching Method  

Naranbaatar, Erdenesuren (Dept. of Mechanical and Automotive Engineering, Univ. of Ulsan)
Lee, Sang-Jin (Dept. of Mechanical and Automotive Engineering, Univ. of Ulsan)
Kim, Hyoung-Seok (R & D Center. Kumho Tires)
Bae, Yong-Hwan (Dept. of Mechanical Education, Andong Univ.)
Lee, Byung-Ryong (Dept. of Mechanical and Automotive Engineering, Univ. of Ulsan)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.35, no.11, 2011 , pp. 1429-1436 More about this Journal
Abstract
In this paper, a new tube-radius-measuring algorithm has been proposed for effectively measuring the radii of small tubes under severe noise conditions that can also perform well when metal scraps that make it difficult to measure the radius correctly are inside the tube hole. In the algorithm, we adopt a fuzzy searching method that searches for the center of the inner circle by using fuzzy parameters for distance and orientation from the initial search point. The proposed algorithm has been implemented and tested on both synthetic and real-world tube images, and the performance is compared to existing circle-detection algorithms, such as the Hough transform and RANSAC methods, to prove the accuracy and effectiveness of the algorithm. From this comparison, it is concluded that the proposed algorithm has excellent performance in terms of measurement accuracy and computation time.
Keywords
Vehicle Brake Tube; Standard Deviation; Fuzzy Searching; Machine Vision; Radius Measurement;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 0
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