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Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation
Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 UKM Bangi, Selangor, Malaysia
School of Computing and Information Systems, Faculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames KT1 2EE, UK
* Authors to whom correspondence should be addressed.
Received: 25 July 2012; in revised form: 11 October 2012 / Accepted: 18 October 2012 / Published: 2 November 2012
Abstract: This paper presents a novel, real-time defect detection system, based on a best-fit polynomial interpolation, that inspects the conditions of outer surfaces. The defect detection system is an enhanced feature extraction method that employs this technique to inspect the flatness, waviness, blob, and curvature faults of these surfaces. The proposed method has been performed, tested, and validated on numerous pipes and ceramic tiles. The results illustrate that the physical defects such as abnormal, popped-up blobs are recognized completely, and that flames, waviness, and curvature faults are detected simultaneously.
Keywords: visual inspection system; flatness; waviness; surface defect detection system; curvature measurement
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Cite This Article
MDPI and ACS Style
Golkar, E.; Prabuwono, A.S.; Patel, A. Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation. Sensors 2012, 12, 14774-14791.
Golkar E, Prabuwono AS, Patel A. Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation. Sensors. 2012; 12(11):14774-14791.
Golkar, Ehsan; Prabuwono, Anton S.; Patel, Ahmed. 2012. "Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation." Sensors 12, no. 11: 14774-14791.