Analysis of speckle images to assess surface roughness

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 making use of the MATLAB program. The computerized binary images are investigated. The signal-to-noise ratio is computed from these numerical ima...

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Bibliographic Details
Published in:Optics and laser technology 2004-04, Vol.36 (3), p.249-253
Main Authors: Hamed, A.M., El-Ghandoor, H., El-Diasty, F., Saudy, M.
Format: Article
Language:English
Subjects:
Computers in experimental physics
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Image processing
Imaging and optical processing
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Optics
Physics
Signal to noise ratio of binary images
Speckle and moire patterns
Speckle images
Surface roughness
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Summary: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 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.
ISSN:0030-3992
1879-2545
DOI:10.1016/j.optlastec.2003.09.005