Analysis of speckle images to assess surface roughness
Hamed, Abdallah; H. El-Ghandoor; F. El-Diasty; M. Saudy;
Abstract
Digital speckle images are photographed for different aluminum rough surfaces using a CCD camera. The obtained speckle images are
fed to a PC and analyzed by making use of the MATLAB program. The computerized binary images are investigated. The signal-to-noise
ratio is computed from these numerical images. It is shown that the surface roughness of the examined surfaces is dependent upon the
degree of agglomeration of the speckle images.
fed to a PC and analyzed by making use of the MATLAB program. The computerized binary images are investigated. The signal-to-noise
ratio is computed from these numerical images. It is shown that the surface roughness of the examined surfaces is dependent upon the
degree of agglomeration of the speckle images.
Other data
| Title | Analysis of speckle images to assess surface roughness | Authors | Hamed, Abdallah ; H. El-Ghandoor; F. El-Diasty; M. Saudy | Keywords | Surface roughness;Speckle images;Signal to noise ratio of binary images | Issue Date | Feb-2004 | Publisher | Elsevier | Journal | Optics & Laser Technology | Volume | 36 | Start page | 249 | End page | 253 | DOI | doi:10.1016/j.optlastec.2003.09.005 |
Attached Files
| File | Description | Size | Format | Existing users please Login |
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| 3 Optics Laser Tech paper 2004.pdf | 246.06 kB | Adobe PDF | Request a copy |
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