The Areal Field Parameters

Blateyron, François

doi:10.1007/978-3-642-36458-7_2

Cited by 127 publications

(121 citation statements)

References 13 publications

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“…Volume parameters can generally highlight the relation between materials surface properties and functional abilities [52]. The calculated Vmp values indicated that the one-step polishing system created such a surface with numerous peaks which would be removed or deformed during chewing.…”

Section: The Parameters Samplesmentioning

confidence: 99%

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Surface roughness and morphology of dental nanocomposites polished by four different procedures evaluated by a multifractal approach

Ţălu

Stach

Lainović

et al. 2015

Applied Surface Science

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Section: The Parameters Samplesmentioning

confidence: 99%

“…This parameter is a very good indicator of the texture changes after different processing methods [52].…”

Section: The Parameters Samplesmentioning

confidence: 99%

Surface roughness and morphology of dental nanocomposites polished by four different procedures evaluated by a multifractal approach

Ţălu

Stach

Lainović

et al. 2015

Applied Surface Science

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“…[50,51], and a range of case studies illustrating their use are given in Ref. [50,51], and a range of case studies illustrating their use are given in Ref.…”

Section: Areal Parametersmentioning

confidence: 99%

Surface Topography Characterisation

Leach¹

2014

Fundamental Principles of Engineering Nanometrology

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“…The topography of a structured surface is explicitly defined by design specification, as opposed to conventional, unstructured surfaces, where topography is only partially and indirectly defined through compliance to provided texture descriptors (for example, areal surface texture field parameters as defined in ISO 25178-2 [3], [4]). "Tessellated" is a term commonly used to refer to a particular class of structured surface whose topography can be thought of as comprised of a pattern unit, or tile, replicated multiple times in order to create a regular, periodic pattern [1].…”

Section: Structured and Tessellated Surfacesmentioning

confidence: 99%

Shape descriptors and statistical classification on areal topography data for tile inspection in tessellated surfaces

2017

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Verification of conformance to design specifications in production, and identification of defects related to wear or other damage during maintenance, are key metrological aspects that must be addressed for micro-scale tessellated surfaces. A new algorithmic approach is presented that operates on topography datasets as obtained by areal topography instruments. The approach combines segmentation algorithms with a novel implementation of the angular radial transform, originally adopted by the MPEG-7 standard, to implement shape descriptors and associated similarity metrics. Applications to the inspection and verification of laser-manufactured micro-embossing topographies are illustrated. The topographies are first segmented to extract the individual tiles; the tiles are then encoded through shape descriptors. Principal component analysis and cluster analysis are used to investigate the behaviour of the angular radial transform coefficients. Finally, an algorithmic classifier based on supervised learning (k-nearest neighbours) is implemented and shown to be effective at identifying defects and at discriminating between defect types.

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The Areal Field Parameters

Cited by 127 publications

References 13 publications

Surface roughness and morphology of dental nanocomposites polished by four different procedures evaluated by a multifractal approach

Surface roughness and morphology of dental nanocomposites polished by four different procedures evaluated by a multifractal approach

Surface Topography Characterisation

Shape descriptors and statistical classification on areal topography data for tile inspection in tessellated surfaces

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