85451 20210121114550.0 doi 10.1016/j.proeng.2015.12.558 sideral 113763 ART-2015-113763 eng (orcid)0000-0003-3080-9217 Brosed Dueso, Francisco Javier Universidad de Zaragoza Geometrical verification based on a laser triangulation system in industrial environment. Effect of the image noise in the measurement results 2015 Access copy available to the general public Unrestricted The use of laser triangulation systems is widely spread in industrial applications, especially in industrial metrology. These applications are usually affected by external perturbations, in particular, image noise and reflections can be an important error source for these kinds of sensors when high precision is required or when the scanning task is developed in an industrial environment. This research is focused in the improvement of the behavior of a laser triangulation sensor working with high noise images. The aim of the image analysis technique is to avoid or reduce the effect of the background noise on the measurement results (flatness). The analysis technique is tested with images captured in the industrial environment of the measurement system. The results show a proper behavior of the algorithm with high noise component images and the feasibility of the technique for use in the inspection of 100% of the production. info:eu-repo/grantAgreement/ES/CICYT/DPI2007-61513 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 0.239 2015 Engineering (miscellaneous) 2015 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-8609-1358 Aguilar Martín, Juan José Universidad de Zaragoza (orcid)0000-0001-7316-0003 Santolaria Mazo, Jorge Universidad de Zaragoza Lázaro Carrascal, Raúl 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 132 (2015), 764-771 Procedia Engineering 1877-7058 1100305 http://zaguan.unizar.es/record/85451/files/texto_completo.pdf Versión publicada 7019 http://zaguan.unizar.es/record/85451/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:85451 articulos driver 2021-01-21-11:21:03 ARTICLE