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Open AccessArticle

Analysis of Surface Extraction Methods Based on Gradient Operators for Computed Tomography in Metrology Applications

1
Department of Industrial Engineering, Autonomous University of Baja California, 21100 Mexicali, Mexico
2
Centro Universitario de la Defensa, A.G.M. Carretera Huesca s/n, 50090 Zaragoza, Spain
3
I3A, Universidad de Zaragoza, María de Luna 3, 50018 Zaragoza, Spain
*
Author to whom correspondence should be addressed.
Materials 2018, 11(8), 1461; https://doi.org/10.3390/ma11081461
Received: 6 July 2018 / Revised: 13 August 2018 / Accepted: 14 August 2018 / Published: 17 August 2018
(This article belongs to the Special Issue Special Issue of the Manufacturing Engineering Society (MES))
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. View Full-Text
Keywords: computed tomography; surface extraction; Canny algorithm; Deriche algorithm computed tomography; surface extraction; Canny algorithm; Deriche algorithm
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MDPI and ACS Style

Ontiveros, S.; Jiménez, R.; Yagüe-Fabra, J.A.; Torralba, M. Analysis of Surface Extraction Methods Based on Gradient Operators for Computed Tomography in Metrology Applications. Materials 2018, 11, 1461.

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