2016
DOI: 10.1016/j.measurement.2016.06.005
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Freeform texture representation and characterisation based on triangular mesh projection techniques

Abstract: Freeform texture representation and characterisation based on triangular mesh projection techniques, Measurement (2016), doi: http://dx. AbstractTexture characterisation for freeform non-Euclidean surfaces is becoming increasingly important due to the widespread of the use of such surfaces in different applications, e.g. the additive manufacturing. Four main steps are required to analyse and characterise those surfaces which include new surface representation, surface filtration and decomposition, texture repr… Show more

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Cited by 12 publications
(3 citation statements)
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“…The 3D nature of the cellular scaffold of the acetabular implant makes surface roughness difficult to be evaluated because current areal surface texture parameters per ISO 25178-2 [29] are defined on a 2.5D basis. In terms of its applicability, two restrictions apply: measurement points should be uniformly sampled and surface texture is supposed to be measured on a planar or nearly planar basis [38]. The fatal issue of evaluating XCT measured surface texture, however, is that XCT measurement data does not conform to these two constraints as required by ISO 25718-2.…”
Section: Discussionmentioning
confidence: 99%
“…The 3D nature of the cellular scaffold of the acetabular implant makes surface roughness difficult to be evaluated because current areal surface texture parameters per ISO 25178-2 [29] are defined on a 2.5D basis. In terms of its applicability, two restrictions apply: measurement points should be uniformly sampled and surface texture is supposed to be measured on a planar or nearly planar basis [38]. The fatal issue of evaluating XCT measured surface texture, however, is that XCT measurement data does not conform to these two constraints as required by ISO 25718-2.…”
Section: Discussionmentioning
confidence: 99%
“…This can be attributed to the following two reasons: first, polynomial models with a limited order is not flexible for complex geometric fitting; Second, current fitting methods are planar projection-based, where height deviations of measured points from a fitted model is simply minimised, instead of working with normal distances. Therefore, new non-Euclidean freeform fitting methods with flexible representing models need to be developed [19][20][21].…”
Section: Characterisation Challengesmentioning
confidence: 99%
“…The last step of LB based LWT is that one node (usually called a master node) merges the results of N subsets and then obtains the final result. The minimum value of m is determined by a particular type of wavelet, e.g., 3 for Haar and 6 for Deslauriers-Dubuc (13,7). Generally, m can be unified as a fixed value (e.g., 10 or 20) that larger than all types of wavelets needed.…”
Section: Alt-text: Figmentioning
confidence: 99%