A method has been proposed to verify geometric tolerances by X-ray computed tomography (XCT) without the need for image segmentation The method is based on the direct comparison of a part XCT image to a volumetric representation of its geometric tolerance. In previous works the method was directly applied to raw images. However, filters are commonly applied to XCT images. Usually, they mitigate noise or enhance details. In this work, we study if the segmentation-free verification benefits from the application of filters to XCT images. Standard filters a considered, e.g. Gaussian and non-local means.

Effect of filters on segmentation-free geometric verification by X-ray CT

Petrò Stefano;Moroni Giovanni
2022-01-01

Abstract

A method has been proposed to verify geometric tolerances by X-ray computed tomography (XCT) without the need for image segmentation The method is based on the direct comparison of a part XCT image to a volumetric representation of its geometric tolerance. In previous works the method was directly applied to raw images. However, filters are commonly applied to XCT images. Usually, they mitigate noise or enhance details. In this work, we study if the segmentation-free verification benefits from the application of filters to XCT images. Standard filters a considered, e.g. Gaussian and non-local means.
2022
Proceedings of the 17th CIRP Conference on Computer Aided Tolerancing, CAT 2022
filtering
geometric inspection
segmentation
volumetric representation
X-ray computed tomography
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1227383
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