Optical correlation algorithm development for the Transfer of Optical Processing to Systems program

1993 ◽  
Author(s):  
William B. Hahn, Jr. ◽  
Kipp A. Bauchert
Keyword(s):  
Optical Processing ◽  
Optical Correlation ◽  
Algorithm Development ◽  
Correlation Algorithm

scholarly journals Optical correlation algorithm for reconstructing phase skeleton of complex optical fields for solving the phase problem

2014 ◽  
Vol 22 (5) ◽  
pp. 6186 ◽  
Author(s):  
O. V. Angelsky ◽  
M. P. Gorsky ◽  
S. G. Hanson ◽  
V. P. Lukin ◽  
I. I. Mokhun ◽  
...  
Keyword(s):  
Phase Problem ◽  
Optical Fields ◽  
Optical Correlation ◽  
Correlation Algorithm

scholarly journals Echelle Spectroscopy by a CCD at Low Signal-to-Noise Ratio

1995 ◽  
Vol 167 ◽  
pp. 221-229 ◽  
Author(s):  
Didier Queloz
Keyword(s):  
Cross Correlation ◽  
Signal To Noise Ratio ◽  
Spectral Information ◽  
High Dispersion ◽  
Physical Parameters ◽  
Signal To Noise ◽  
Optical Correlation ◽  
Correlation Algorithm ◽  
Noise Ratio ◽  
Echelle Spectroscopy

The measurement of some physical parameters of astronomical objects can only be carried out with high resolution spectra. Unfortunately the high dispersion of the light on the detector restricts such observations to relatively bright sources. However, some spectral information can be concentrated into a single spectral “line” by a cross-correlation algorithm, allowing the observation of fainter objects. Such a technique, taken from the CORAVEL optical correlation, is presented. A complete description of the errors of the correlation function parameters is given and the minimum signal-to-noise ratio is also discussed. Finally, a short investigation of the best resolution needed to observe efficiently radial velocities and velocity broadenings is made.

The Theoretical Contrast in Scanning and Conventional High Resolution Microscopes

1969 ◽  
Vol 27 ◽  
pp. 170-171
Author(s):  
E. Zeitler ◽  
M. G. R. Thomson
Keyword(s):  
Small Volume ◽  
Volume Element ◽  
Optical Processing ◽  
Image Construction ◽  
Object Interaction ◽  
Transmission Electron ◽  
Scanning Transmission ◽  
Optical Treatment ◽  
Electron Microscopes ◽  
Intensity Contrast

In the formation of an image each small volume element of the object is correlated to an areal element in the image. The structure or detail of the object is represented by changes in intensity from element to element, and this variation of intensity (contrast) is determined by the interaction of the electrons with the specimen, and by the optical processing of the information-carrying electrons. Both conventional and scanning transmission electron microscopes form images which may be considered in this way, but the mechanism of image construction is very different in the two cases. Although the electron-object interaction is the same, the optical treatment differs.

Experimental Measurement of In-Plane Rolling Nonpneumatic Tire Vibrations Using High-Speed Imaging

2019 ◽  
Vol 47 (3) ◽  
pp. 196-210
Author(s):  
Meghashyam Panyam ◽  
Beshah Ayalew ◽  
Timothy Rhyne ◽  
Steve Cron ◽  
John Adcox
Keyword(s):  
High Speed ◽  
Image Correlation ◽  
Dynamic Mode Decomposition ◽  
Dynamic Mode ◽  
High Speed Imaging ◽  
Correlation Algorithm ◽  
Mode Decomposition ◽  
Series Of Experiments ◽  
Plane Deformations ◽  
Dominant Frequencies

ABSTRACT This article presents a novel experimental technique for measuring in-plane deformations and vibration modes of a rotating nonpneumatic tire subjected to obstacle impacts. The tire was mounted on a modified quarter-car test rig, which was built around one of the drums of a 500-horse power chassis dynamometer at Clemson University's International Center for Automotive Research. A series of experiments were conducted using a high-speed camera to capture the event of the rotating tire coming into contact with a cleat attached to the surface of the drum. The resulting video was processed using a two-dimensional digital image correlation algorithm to obtain in-plane radial and tangential deformation fields of the tire. The dynamic mode decomposition algorithm was implemented on the deformation fields to extract the dominant frequencies that were excited in the tire upon contact with the cleat. It was observed that the deformations and the modal frequencies estimated using this method were within a reasonable range of expected values. In general, the results indicate that the method used in this study can be a useful tool in measuring in-plane deformations of rolling tires without the need for additional sensors and wiring.

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