Paper
10 October 2013 Fast filtering of surface topography of micro-optics using non-local means
Author Affiliations +
Proceedings Volume 8916, Sixth International Symposium on Precision Mechanical Measurements; 891620 (2013) https://doi.org/10.1117/12.2035838
Event: Sixth International Symposium on Precision Mechanical Measurements, 2013, Guiyang, China
Abstract
Micro optical components are more and more widely used in precision engineering due to their small sizes and novel functionalities. Characterization of the surface topography of these components is very difficult due to the existence of sharp edges and complex features. Conventional filtering algorithms cannot be used directly for non-smooth structured surfaces. In this paper we present a filtering algorithm using the non-local means method. Instead of assigning weights according to the closeness or similarity between individual data points, this method are based on the similarity of the patches surrounding data points. This method can effectively separate the detailed textures of non-smooth surfaces while preserving primary features. Proper adaptation and improvement are made for the applications in precision engineering. The k-means clustering method is used to reduce the computational cost. Numerical experiments prove that the non-local means method is able to separate small-scaled textures from the primary surface shapes without ruining the sharp features.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiangchao Zhang, Hao Zhang, Xiaoying He, and Min Xu "Fast filtering of surface topography of micro-optics using non-local means", Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 891620 (10 October 2013); https://doi.org/10.1117/12.2035838
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KEYWORDS
Gaussian filters

Optics manufacturing

Feature extraction

Image filtering

Micro optics

Optical components

Electronic filtering

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