SU-E-I-12: Characterization of Edge Effects in a Commercial Low-Dose Image Processing System

2014 ◽  
Vol 41 (6Part4) ◽  
pp. 132-132 ◽  
Author(s):  
R Marsh ◽  
M Silosky
Keyword(s):  
Image Processing ◽  
Edge Effects ◽  
Low Dose ◽  
Processing System ◽  
Image Processing System

scholarly journals Towards a new image processing system at Wendelstein 7-X: From spatial calibration to characterization of thermal events

2018 ◽  
Vol 89 (12) ◽  
pp. 123503 ◽  
Author(s):  
F. Pisano ◽  
B. Cannas ◽  
M. W. Jakubowski ◽  
H. Niemann ◽  
A. Puig Sitjes ◽  
...  
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Image Processing System ◽  
Spatial Calibration

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

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