RT info:eu-repo/semantics/article
T1 Crack detection in concrete tunnels using a gabor filter invariant to rotation
A1 Medina Aparicio, Roberto
A1 Llamas, José
A1 Gómez García-Bermejo, Jaime
A1 Zalama Casanova, Eduardo
A1 Segarra, Miguel José
K1 Tunnel inspection
K1 Concrete surface
K1 Image processing
K1 Spatial frequency domain
K1 33 Ciencias Tecnológicas
AB 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.
PB MDPI
SN 1424-8220
YR 2017
FD 2017
LK https://uvadoc.uva.es/handle/10324/57830
UL https://uvadoc.uva.es/handle/10324/57830
LA eng
NO Sensors, 2017, vol. 17, n. 7, p. 1670
NO Producción Científica
DS UVaDOC
RD 18-dic-2024