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,* email, 1,* email and 1,2email
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)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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