Related Experiment Video
Updated: Jul 7, 2026
09:16
Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy
Published on: January 9, 2017
Surface-roughness measurement based on the intensity correlation function of scattered light under speckle-pattern
1Mess- und Regelungstechnik, University of Bremen, FB4, Postfach 330440, 28334 Bremen, Germany. P.Lehmann@msr.uni-bremen.de
Applied Optics
|February 29, 2008
Summary
This study analyzes speckle patterns to measure surface roughness in engineering applications. The findings enable in-process surface inspection using digital image processing of anisotropic roughness.
Area of Science:
- Optics and Photonics
- Materials Science
- Metrology
Background:
- Speckle patterns arise from the interference of coherent light scattered by rough surfaces.
- Characterizing surface roughness is crucial for engineering applications, impacting performance and durability.
- Traditional methods for surface roughness measurement can be time-consuming or invasive.
Purpose of the Study:
- To investigate the statistical properties of speckle patterns for surface roughness characterization.
- To establish a correlation between speckle pattern features and anisotropic surface roughness.
- To demonstrate the feasibility of in-process surface inspection using speckle pattern analysis.
Main Methods:
- Generating fully developed static speckle patterns from engineering surfaces.
- Recording speckle patterns using a Charge-Coupled Device (CCD) technique.
- Analyzing speckle patterns with digital image processing algorithms, focusing on the intensity autocorrelation function.
Main Results:
- The intensity autocorrelation function of speckle patterns shows a dependence on surface roughness.
- A parameter derived from speckle pattern analysis effectively characterizes anisotropic surface roughness.
- The method provides quantitative information about surface topography.
Conclusions:
- Speckle pattern analysis is a viable technique for characterizing engineering surface roughness.
- The developed method allows for non-contact, in-process surface inspection.
- This approach offers a promising tool for quality control in manufacturing.
