The development of a new image acquisition and analysis system for 3D surface measurements using confocal laser scanning microscopy
Peng, Zhongxiao, and Tomovich, Steven (2008) The development of a new image acquisition and analysis system for 3D surface measurements using confocal laser scanning microscopy. Advanced Materials Research, 32. pp. 173-179.
PDF (Published Version)
Restricted to Repository staff only |
Abstract
Quantitative surface measurement is an important field in many applications including materials science and engineering quality control. A non-destructive and versatile technique for quantifying surface roughness in 3D is Confocal Laser Scanning Microscopy (CLSM). However, this technique has not been widely accepted to use for quantitative surface measurements due to limited work on it. The project has researched the suitability of using the system for surface characterization and appropriate settings for image acquisition for quantitative surface analysis. Based on the above fundamental work, this study has developed and presented a comprehensive approach of using the system for quantitative surface characterization through image processing, 3D image construction, image stitching and numerical image analysis. The surface characterization results presented in the paper have demonstrated that the system can be used to accurately measure surface roughness of engineering surfaces.
Item ID: | 8262 |
---|---|
Item Type: | Article (Research - C1) |
ISSN: | 1022-6680 |
Keywords: | surface characterization; Confocal Laser Scanning Microscope; image acquisition; image processing; image analysis |
Related URLs: | |
Funders: | ARC and James Cook University |
Projects and Grants: | 0913 - Mechanical Engineering |
Date Deposited: | 17 Feb 2010 01:55 |
FoR Codes: | 09 ENGINEERING > 0913 Mechanical Engineering > 091309 Tribology @ 50% 09 ENGINEERING > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation @ 50% |
SEO Codes: | 86 MANUFACTURING > 8614 Machinery and Equipment > 861499 Machinery and Equipment not elsewhere classified @ 100% |
Downloads: |
Total: 2 |
More Statistics |