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 language | English |
|---|---|
| Title of host publication | Laser Metrology and Machine Performance VII |
| Subtitle of host publication | 7th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2005 |
| Editors | Paul Shore |
| Publisher | euspen |
| Pages | 304-313 |
| Number of pages | 10 |
| ISBN (Print) | 1861941188, 9781861941183 |
| Publication status | Published - 2005 |
| Event | 7th International Conference and Exhibition on Laser Metrology, CMM and Machine Tool Performance - Cranfield, United Kingdom Duration: 27 Jun 2005 → 30 Jun 2005 Conference number: 7 https://www.scimagojr.com/journalsearch.php?q=21100338313&tip=sid&clean=0 |
Conference
| Conference | 7th International Conference and Exhibition on Laser Metrology, CMM and Machine Tool Performance |
|---|---|
| Abbreviated title | LAMDAMAP 2005 |
| Country/Territory | United Kingdom |
| City | Cranfield |
| Period | 27/06/05 → 30/06/05 |
| Internet address |