Application of the Morphological Alpha Shape Method to the Extraction of Topographical Fetaures from Engineering Surfaces

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Abstract

In contrast to the mean-line based filters, morphological filters are function oriented and more suitable for the functional prediction of component performance. This paper presents a novel morphological method based on the alpha shape for the extraction of topographical features from engineering surfaces. Compared to the traditional implementation of morphological filters, the alpha shape method is more efficient in performance for large structuring elements. The resulting envelope follows the form of the surface all over such that the distortions caused the end effects are avoided. A series of measured surfaces from the automotive cylinder liner and the bioengineering artificial femoral heads are analyzed using the morphological alpha shape method. The topographical features are successfully extracted, enabling further physical and tribological analysis to the components.

LanguageEnglish
Pages1002-1008
Number of pages7
JournalMeasurement: Journal of the International Measurement Confederation
Volume46
Issue number2
DOIs
Publication statusPublished - 1 Feb 2013

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Morphological Filter
engineering
Engineering
filters
bioengineering
End Effect
linings
Envelope
performance
envelopes
Filter
Series
Line
Prediction
predictions
Form
Bioengineering

Cite this

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title = "Application of the Morphological Alpha Shape Method to the Extraction of Topographical Fetaures from Engineering Surfaces",
abstract = "In contrast to the mean-line based filters, morphological filters are function oriented and more suitable for the functional prediction of component performance. This paper presents a novel morphological method based on the alpha shape for the extraction of topographical features from engineering surfaces. Compared to the traditional implementation of morphological filters, the alpha shape method is more efficient in performance for large structuring elements. The resulting envelope follows the form of the surface all over such that the distortions caused the end effects are avoided. A series of measured surfaces from the automotive cylinder liner and the bioengineering artificial femoral heads are analyzed using the morphological alpha shape method. The topographical features are successfully extracted, enabling further physical and tribological analysis to the components.",
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N2 - In contrast to the mean-line based filters, morphological filters are function oriented and more suitable for the functional prediction of component performance. This paper presents a novel morphological method based on the alpha shape for the extraction of topographical features from engineering surfaces. Compared to the traditional implementation of morphological filters, the alpha shape method is more efficient in performance for large structuring elements. The resulting envelope follows the form of the surface all over such that the distortions caused the end effects are avoided. A series of measured surfaces from the automotive cylinder liner and the bioengineering artificial femoral heads are analyzed using the morphological alpha shape method. The topographical features are successfully extracted, enabling further physical and tribological analysis to the components.

AB - In contrast to the mean-line based filters, morphological filters are function oriented and more suitable for the functional prediction of component performance. This paper presents a novel morphological method based on the alpha shape for the extraction of topographical features from engineering surfaces. Compared to the traditional implementation of morphological filters, the alpha shape method is more efficient in performance for large structuring elements. The resulting envelope follows the form of the surface all over such that the distortions caused the end effects are avoided. A series of measured surfaces from the automotive cylinder liner and the bioengineering artificial femoral heads are analyzed using the morphological alpha shape method. The topographical features are successfully extracted, enabling further physical and tribological analysis to the components.

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