Sensors 2012, 12(11), 14774-14791; doi:10.3390/s121114774
Article

Real-Time Curvature Defect Detection on Outer Surfaces Using Best-Fit Polynomial Interpolation

1 Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 UKM Bangi, Selangor, Malaysia 2 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
(This article belongs to the Section Physical Sensors)
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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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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.

AMA Style

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.

Chicago/Turabian Style

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.

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