Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging

Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging Publisher

Kafieh R^{1, 2} ; Lotfi T¹ ; Amirfattahi R³

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1. Medical Image and Signal Processing Research Center (MISP), Isfahan University of Medical Sciences, Isfahan, Iran
2. Biomedical Engineering Dep., Isfahan University of Medical Sciences, Isfahan, Iran
3. Digital Signal Processing Research Lab., Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran

Source: Infrared Physics and Technology Published:2011

Abstract

Nowadays, polyethylene is the most widely used material in piping technology, the vital problem of which is the discrimination of possible flaws. Destructive and non-destructive strategies are possible error-detection methods, the second of which surpasses the former in both restoration and time complexity. Infrared technology can be introduced as one of the most powerful tools in non-destructive area showing acceptable results for detection of welding flaws in the polyethylene pipes. In this research, the infrared video sequences from the cooling step of the pipeline welding procedure were collected in Chahar-Mahal-O-Bakhtiari/Iran gas Company. The snapshot of an optimum moment of each sequence went under a preprocessing procedure and different clustering methods were applied to distinguish various errors and to classify them into most prevalent flaw groups. Choosing the best clustering algorithm by introducing proper coefficients, the proposed method could discriminate the occurred flaws, even better than destructive approaches. © 2011 Elsevier B.V. All rights reserved.

Style	Citing Format
MLA	Kafieh R, Lotfi T, Amirfattahi R. "Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging." Infrared Physics and Technology, vol. 54, no. 4, 2011, pp. 317-325.
APA	Kafieh R, Lotfi T, Amirfattahi R (2011). Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging. Infrared Physics and Technology, 54(4), 317-325.
Chicago	Kafieh R, Lotfi T, Amirfattahi R. "Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging." Infrared Physics and Technology 54, no. 4 (2011): 317-325.
Harvard	Kafieh R, Lotfi T, Amirfattahi R (2011) 'Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging', Infrared Physics and Technology, 54(4), pp. 317-325.
Vancouver	Kafieh R, Lotfi T, Amirfattahi R. Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging. Infrared Physics and Technology. 2011;54(4):317-325.
BibTex	@article{ author = {Kafieh R and Lotfi T and Amirfattahi R}, title = {Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging}, journal = {Infrared Physics and Technology}, volume = {54}, number = {4}, pages = {317-325}, year = {2011} }
RIS	TY - JOUR AU - Kafieh R AU - Lotfi T AU - Amirfattahi R TI - Automatic Detection of Defects on Polyethylene Pipe Welding Using Thermal Infrared Imaging JO - Infrared Physics and Technology VL - 54 IS - 4 SP - 317 EP - 325 PY - 2011 ER -

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