Development and testing of a stabilization and image processing system for improvement of mobile fundus camera image quality

2020 ◽  
Author(s):  
Nicole Barritt ◽  
Laurel Pilon ◽  
Alexander MacLean ◽  
Angela Lin ◽  
Allison Cole ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Processing System ◽  
Image Processing System ◽  
Fundus Camera ◽  
Camera Image

Development of High-Definition Image Processing System for a FE-SEM

1996 ◽  
Vol 54 ◽  
pp. 458-459
Author(s):  
M. Yamada ◽  
T. Yoshihara ◽  
H. Arima ◽  
Y. Nimura ◽  
T. Kobayashi ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Real Time ◽  
Processing System ◽  
Digital Processing ◽  
High Definition ◽  
Sem Images ◽  
Pixel Resolution ◽  
Generator System ◽  
Image Processing System

This paper presents the development of a new, fully digital image processing system for a field emission SEM (FE-SEM) which can eliminate fluctuations in the emission current. The system can display, in real time, images with 1280 × 1024 pixels on a viewing CRT, allowing direct observation of high definition SEM images on the FE-SEM.In the past, even though image was acquired and recorded (photographed) with the resolution higher than 1,000 x 1,000 pixels, it was generally observed on the viewing CRT at the resolution of only about 500 x 500 pixels for real-time observation. This created a difference in image quality between the two CRT's. Using a CRT of the same pixel resolution for observation as on the recording CRT, the difference in image quality can be minimised, provided that the characteristics (speed and resolution) of the image processing and scan generator system are improved and optimised for digital processing.

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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