Abstract
In this work, results from an optical technique (laser speckle technique) for measuring surface roughness was done by using statistical properties of speckle pattern from the point of view of computer image texture analysis. Four calibration relationships were used to cover wide range of measurement with the same laser speckle technique. The first one is based on intensity contrast of the speckle, the second is based on analysis of speckle binary image, the third is on size of speckle pattern spot, and the latest one is based on characterization of the energy feature of the gray level co-occurrence matrices for the speckle pattern. By these calibration relationships surface roughness of an object surface can be evaluated within these relations ranges from single speckle pattern image which was taken from the surface.
Highlights
The surface roughness is an important parameter for evaluating the material surfaces since it directly affects on optical and mechanical properties of the materials [1]
These drawbacks have prompted the development of alternative techniques including optical methods such as laser speckle technique for the surface roughness measurements as non-contact optical method which leads to non-destructive, fast and continuous measurements[2]
In this work we will investigate the statistical properties of speckle pattern from the point of view of computer texture analysis, and study four measurement methods to obtain a surface roughness from a single laser speckle pattern
Summary
The surface roughness is an important parameter for evaluating the material surfaces since it directly affects on optical and mechanical properties of the materials [1]. Since the invention of lasers; researchers have discussed the relationship between surface roughness and speckle pattern statistical properties as a method for offline as well as on-line surface measurements [8].
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