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Sensors 2017, 17(7), 1670;

Crack Detection in Concrete Tunnels Using a Gabor Filter Invariant to Rotation

CARTIF Foundation, Parque Tecnológico de Boecillo, 47151 Valladolid, Spain
ITAP-DISA, University of Valladolid, 47002 Valladolid, Spain
DRAGADOS S.A., Av. Camino de Santiago 50, 28050 Madrid, Spain
Author to whom correspondence should be addressed.
Received: 14 June 2017 / Revised: 15 July 2017 / Accepted: 17 July 2017 / Published: 20 July 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2017)
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In this article, a system for the detection of cracks in concrete tunnel surfaces, based on image sensors, is presented. Both data acquisition and processing are covered. Linear cameras and proper lighting are used for data acquisition. The required resolution of the camera sensors and the number of cameras is discussed in terms of the crack size and the tunnel type. Data processing is done by applying a new method called Gabor filter invariant to rotation, allowing the detection of cracks in any direction. The parameter values of this filter are set by using a modified genetic algorithm based on the Differential Evolution optimization method. The detection of the pixels belonging to cracks is obtained to a balanced accuracy of 95.27%, thus improving the results of previous approaches. View Full-Text
Keywords: tunnel inspection; concrete surface; image processing; spatial frequency domain tunnel inspection; concrete surface; image processing; spatial frequency domain

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Medina, R.; Llamas, J.; Gómez-García-Bermejo, J.; Zalama, E.; Segarra, M.J. Crack Detection in Concrete Tunnels Using a Gabor Filter Invariant to Rotation. Sensors 2017, 17, 1670.

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