Statistical Model And Automatic Recognition Of Speckle Young's Fringe In Speckle Photography

Qiang Fang; Yushan Tan; E . W. Smith

doi:10.1117/12.962752

25 April 1990 Statistical Model And Automatic Recognition Of Speckle Young's Fringe In Speckle Photography

Qiang Fang, Yushan Tan, E . W. Smith

Proceedings Volume 1162, Laser Interferometry: Quantitative Analysis of Interferograms: Third in a Series; (1990) https://doi.org/10.1117/12.962752
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

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.

Citation Download Citation

Qiang Fang, Yushan Tan, and E . W. Smith "Statistical Model And Automatic Recognition Of Speckle Young's Fringe In Speckle Photography", Proc. SPIE 1162, Laser Interferometry: Quantitative Analysis of Interferograms: Third in a Series, (25 April 1990); https://doi.org/10.1117/12.962752

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