74945 20200117221635.0 doi 10.3390/ma11081461 sideral 107713 ART-2018-107713 eng Ontiveros, S. Analysis of surface extraction methods based on gradient operators for computed tomography in metrology applications 2018 Access copy available to the general public Unrestricted Among the multiple factors influencing the accuracy of Computed Tomography measurements, the surface extraction process is a significant contributor. The location of the surface for metrological applications is generally based on the definition of a gray value as a characteristic of similarity to define the regions of interest. A different approach is to perform the detection or location of the surface based on the discontinuity or gradient. In this paper, an adapted 3D Deriche algorithm based on gradient information is presented and compared with a previously developed adapted Canny algorithm for different surface types. Both algorithms have been applied to nine calibrated workpieces with different geometries and materials. Both the systematic error and measurement uncertainty have been determined. The results show a significant reduction of the deviations obtained with the Deriche-based algorithm in the dimensions defined by flat surfaces. info:eu-repo/grantAgreement/ES/MINECO/DPI2015-69403-C3-1-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.972 2018 MATERIALS SCIENCE, MULTIDISCIPLINARY 102 / 293 = 0.348 2018 Q2 T2 0.686 2018 Materials Science (miscellaneous) 2018 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0003-2357-1407 Jiménez, R. (orcid)0000-0001-7152-4117 Yagüe-Fabra, J.A. Universidad de Zaragoza (orcid)0000-0002-3069-2736 Torralba, M. 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 11, 8 (2018), 1461 [16 pp] MATERIALS Materials 1996-1944 715769 http://zaguan.unizar.es/record/74945/files/texto_completo.pdf Versión publicada 105437 http://zaguan.unizar.es/record/74945/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:74945 articulos driver 2020-01-17-22:01:52 ARTICLE