Complex wavelet transform based surface topography analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Real Discrete Wavelet Transform (DWT) has been widely used in surface metrology, but it is use for surface morphological features (such as linear and curve-like feature) extraction still has been hampered by two main disadvantages: lack of shift-invariance and poor directional selectivity. This paper illustrates the Dual Tree Complex Wavelet Transform (DT-CWT) for surface feature extraction as it has the properties of approximate shift invariance and improved directional selectivity. Furthermore, the DT-CWT filter has linear phase and 'steep transmission curve' transmission characteristics, which ensure that the DT-CWT can also be used for the separation of different frequency components such as roughness, waviness. Numerical simulations of periodical texture and random morphological feature have been used to testify these abilities. Analysis of the practical engineering surface profile and areal data also show the DT-CWT ability for surface feature extraction.

Original languageEnglish
Title of host publicationLaser Metrology and Machine Performance VII
Subtitle of host publication7th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2005
EditorsPaul Shore
Publishereuspen
Pages304-313
Number of pages10
ISBN (Print)1861941188, 9781861941183
Publication statusPublished - 2005
Event7th International Conference and Exhibition on Laser Metrology, CMM and Machine Tool Performance - Cranfield, United Kingdom
Duration: 27 Jun 200530 Jun 2005
Conference number: 7
https://www.scimagojr.com/journalsearch.php?q=21100338313&tip=sid&clean=0

Conference

Conference7th International Conference and Exhibition on Laser Metrology, CMM and Machine Tool Performance
Abbreviated titleLAMDAMAP 2005
CountryUnited Kingdom
CityCranfield
Period27/06/0530/06/05
Internet address

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