Laser interferometry-based characterization of surfaces by datadependent systems
Document Type
Conference Proceeding
Publication Date
12-10-1993
Abstract
© 1993 SPIE. All rights reserved. In the process of surface recovery using interferometric methods, a mixture of artifacts, noise and errors affect the phase map stage of the process. Based on a methodology called data dependent systems (DDS), a stochastic approach is developed which will discern the phase signal from noisy data points and use it to reconstruct a clean phase map. Such a phase map is then easily converted to a height distribution. Stepwise, the procedure first identifies the presence of discontinuities, then applies an adaptive thresholding criteria to return an outlier free set of residuals, and finally uses them to reconstruct a clean phase map.The methodology is robust and can handle very complex phase maps. It reduces reliance on complicated and expensive experimental setups and replaces them with relatively inexpensive but reliable computation. Phase unwrapping is shown to be accomplished in a natural way, but the method also provides other benefits such as diagnostic identification of surface defects and other trouble spots.
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Recommended Citation
Pandit, S.,
Jordache, N.,
&
Joshi, G.
(1993).
Laser interferometry-based characterization of surfaces by datadependent systems.
Proceedings of SPIE - The International Society for Optical Engineering,
2003, 2-11.
http://doi.org/10.1117/12.165451
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/12028