A vision-based approach for surface roughness assessment at micro and nano scales
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/35904 |
| _version_ | 1848754621683597312 |
|---|---|
| author | Al-Kindi, G. Shirinzadeh, B. Zhong, Yongmin |
| author2 | Soh Yeng Chai |
| author_facet | Soh Yeng Chai Al-Kindi, G. Shirinzadeh, B. Zhong, Yongmin |
| author_sort | Al-Kindi, G. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| first_indexed | 2025-11-14T08:43:19Z |
| format | Conference Paper |
| id | curtin-20.500.11937-35904 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:43:19Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-359042017-09-13T15:55:37Z A vision-based approach for surface roughness assessment at micro and nano scales Al-Kindi, G. Shirinzadeh, B. Zhong, Yongmin Soh Yeng Chai 2008 Conference Paper http://hdl.handle.net/20.500.11937/35904 10.1109/ICARCV.2008.4795819 Institute of Electrical and Electronics Engineers (IEEE) fulltext |
| spellingShingle | Al-Kindi, G. Shirinzadeh, B. Zhong, Yongmin A vision-based approach for surface roughness assessment at micro and nano scales |
| title | A vision-based approach for surface roughness assessment at micro and nano scales |
| title_full | A vision-based approach for surface roughness assessment at micro and nano scales |
| title_fullStr | A vision-based approach for surface roughness assessment at micro and nano scales |
| title_full_unstemmed | A vision-based approach for surface roughness assessment at micro and nano scales |
| title_short | A vision-based approach for surface roughness assessment at micro and nano scales |
| title_sort | vision-based approach for surface roughness assessment at micro and nano scales |
| url | http://hdl.handle.net/20.500.11937/35904 |