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Sensors 2018, 18(11), 3644;

Melamine Faced Panels Defect Classification beyond the Visible Spectrum

Universidad Tecnológica de Chile INACAP, Av. Vitacura 10.151, Vitacura 7650033, Santiago, Chile
University of Bío-Bío, DIEE, Concepción 4051381, Concepción, Chile
Computer Vision Center, Edifici O, Campus UAB, Bellaterra, 08193 Barcelona, Spain
Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ingeniería en Electricidad y Computación, CIDIS, Campus Gustavo Galindo, Km 30.5 vía Perimetral, Guayaquil 09-01-5863, Ecuador
Author to whom correspondence should be addressed.
Received: 5 October 2018 / Revised: 22 October 2018 / Accepted: 24 October 2018 / Published: 27 October 2018
(This article belongs to the Special Issue Infrared Sensors and Technologies)
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In this work, we explore the use of images from different spectral bands to classify defects in melamine faced panels, which could appear through the production process. Through experimental evaluation, we evaluate the use of images from the visible (VS), near-infrared (NIR), and long wavelength infrared (LWIR), to classify the defects using a feature descriptor learning approach together with a support vector machine classifier. Two descriptors were evaluated, Extended Local Binary Patterns (E-LBP) and SURF using a Bag of Words (BoW) representation. The evaluation was carried on with an image set obtained during this work, which contained five different defect categories that currently occurs in the industry. Results show that using images from beyond the visual spectrum helps to improve classification performance in contrast with a single visible spectrum solution. View Full-Text
Keywords: infrared; industrial application; machine learning infrared; industrial application; machine learning

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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 (CC BY 4.0).

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Aguilera, C.A.; Aguilera, C.; Sappa, A.D. Melamine Faced Panels Defect Classification beyond the Visible Spectrum. Sensors 2018, 18, 3644.

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