78351 20211201113714.0 doi 10.1007/s00170-018-1950-9 sideral 105401 ART-2018-105401 eng Torralba, M. (orcid)0000-0002-3069-2736 Comparison of surface extraction techniques performance in computed tomography for 3D complex micro-geometry dimensional measurements 2018 Access copy available to the general public Unrestricted The number of industrial applications of computed tomography (CT) for dimensional metrology in 100–103 mm range has been continuously increasing, especially in the last years. Due to its specific characteristics, CT has the potential to be employed as a viable solution for measuring 3D complex micro-geometries as well (i.e., in the sub-mm dimensional range). However, there are different factors that may influence the CT process performance, being one of them the surface extraction technique used. In this paper, two different extraction techniques are applied to measure a complex miniaturized dental file by CT in order to analyze its contribution to the final measurement uncertainty in complex geometries at the mm to sub-mm scales. The first method is based on a similarity analysis: the threshold determination; while the second one is based on a gradient or discontinuity analysis: the 3D Canny algorithm. This algorithm has proven to provide accurate results in parts with simple geometries, but its suitability for 3D complex geometries has not been proven so far. To verify the measurement results and compare both techniques, reference measurements are performed on an optical coordinate measuring machine (OCMM). The systematic errors and uncertainty results obtained show that the 3D Canny adapted method slightly lower systematic deviations and a more robust edge definition than the local threshold method for 3D complex micro-geometry dimensional measurements. info:eu-repo/grantAgreement/ES/MINECO/DPI2015-69403-C3-1-R info:eu-repo/grantAgreement/ES/UZ/CUD2016-TEC-09 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 2.496 2018 ENGINEERING, MANUFACTURING 23 / 49 = 0.469 2018 Q2 T2 AUTOMATION & CONTROL SYSTEMS 29 / 62 = 0.468 2018 Q2 T2 0.987 2018 Computer Science Applications 2018 Q1 Control and Systems Engineering 2018 Q1 Software 2018 Q1 Mechanical Engineering 2018 Q1 Industrial and Manufacturing Engineering 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Jiménez, R. (orcid)0000-0003-2357-1407 Yagüe-Fabra, J.A. Universidad de Zaragoza (orcid)0000-0001-7152-4117 Ontiveros, S. Tosello, G. 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 97, 1-4 (2018), 441-453 Int. j. adv. manuf. technol. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 0268-3768 556577 http://zaguan.unizar.es/record/78351/files/texto_completo.pdf Postprint 115329 http://zaguan.unizar.es/record/78351/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:78351 articulos driver 2021-12-01-11:34:13 ARTICLE