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

Jiang, Xiangqian; Zeng, Wenhan; Scott, Paul J.

doi:10.5772/20728

Cited by 2 publications

(1 citation statement)

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“…For example, during the functional operation of interacting surfaces, peaks and ridges will act as sites of high contact stresses and abrasion. Consequently wear particles and debris will be generated by such kind of surface topographical features, whereas pits and valleys will affect lubrication and fluid retention properties [4]. Thus the functional assessment of surface topography must not only appropriately separate roughness, waviness and form error, but also extract the topographical features from surfaces.…”

Section: Introductionmentioning

confidence: 99%

Application of the morphological alpha shape method to the extraction of topographical features from engineering surfaces

2013

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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 element. 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 femoral heads are analyzed using the morphological alpha shape method. The topographical features are successfully extracted, enabling further analysis to the components.

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Section: Introductionmentioning

confidence: 99%