Wavelet Analysis for the Extraction of Morphological Features for Orthopaedic Bearing Surfaces

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Wavelet Analysis for the Extraction of Morphological Features for Orthopaedic Bearing Surfaces

Jiang, X. - Personal Name; Zeng, W. - Personal Name; Scott, Paul J. - Personal Name;

Surface texture is one of the most critical factors and important functionality indicators in the performance of high precision and nanoscale devices and components. The functions that have been identified in various studies include wear, friction, lubrication, corrosion, fatigue, coating, paintability, etc.

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Series Title: -
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Publisher: : InTechOpen., 2011
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Language: English
ISBN/ISSN: -
Classification: NONE
Content Type: text
Media Type: computer
Carrier Type: online resource
Edition: -
Subject(s): Analysis
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Cataloger: Angga
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Digital Object Identifier (DOI): https://directory.doabooks.org/handle/20.500.12854/25912
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Wavelet Analysis for the Extraction of Morphological Features for Orthopaedic Bearing Surfaces

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