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oai:uvadoc.uva.es:10324/578302022-12-19T20:00:39Zcom_10324_966com_10324_952com_10324_894col_10324_967

Crack detection in concrete tunnels using a gabor filter invariant to rotation Medina Aparicio, Roberto Llamas, José Gómez García-Bermejo, Jaime Zalama Casanova, Eduardo Segarra, Miguel José Tunnel inspection Concrete surface Image processing Spatial frequency domain 33 Ciencias Tecnológicas Producción Científica 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. Ministerio de Economía y Competitividad under project Ref. IPT-2012-0980-370000 Ministerio de Ciencia e Innovación, research project Ref. DPI2014-56500 Junta de Castilla y León Ref. VA036U14. 2022-12-19T14:19:42Z 2022-12-19T14:19:42Z 2017 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Sensors, 2017, vol. 17, n. 7, p. 1670 1424-8220 https://uvadoc.uva.es/handle/10324/57830 10.3390/s17071670 1670 7 Sensors 17 1424-8220 eng https://www.mdpi.com/1424-8220/17/7/1670 Atribución 4.0 Internacional info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ © 2017 The Author(s) application/pdf MDPI https://uvadoc.uva.es/bitstream/10324/57830/4/Crack-detection-concrete-tunnels.pdf.jpg Hispana TEXT http://creativecommons.org/licenses/by/4.0/ UVaDOC. Repositorio Documental de la Universidad de Valladolid https://uvadoc.uva.es/handle/10324/57830