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Proceedings Paper

Statistical Model And Automatic Recognition Of Speckle Young's Fringe In Speckle Photography
Author(s): Qiang Fang; Yushan Tan; E . W. Smith
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Paper Abstract

A statistical distribution model for point information in speckle photography is established using statistical approach. It is shown that the recognition of information is to recognize the space and direction of the Young's fringe from a random metrological field statistically. Based on the model, a 1-D recovnition technique is presented, in which the homomorphic filtering technique is used to elliminate both the speckle and the diffraction hole effects. Experiments show good accuracy and fast recognition speed.

Paper Details

Date Published: 25 April 1990
PDF: 13 pages
Proc. SPIE 1162, Laser Interferometry: Quantitative Analysis of Interferograms: Third in a Series, (25 April 1990); doi: 10.1117/12.962752
Show Author Affiliations
Qiang Fang, Xi'an Jiaotong University (China)
Yushan Tan, Xi'an Jiaotong University (China)
E . W. Smith, Massey University (New Zealand)

Published in SPIE Proceedings Vol. 1162:
Laser Interferometry: Quantitative Analysis of Interferograms: Third in a Series
Ryszard J. Pryputniewicz, Editor(s)

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