Automatic image-processing system of directional broken with dynamic caustic

2020 ◽  
pp. 685-688
Author(s):  
Yenshu Yang ◽  
Qing Li ◽  
Hongwei Ma ◽  
Jinzhao Zhuang ◽  
Wei Wang ◽  
...  
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Image Processing System ◽  
Automatic Image Processing

scholarly journals Three-dimensional Shape Analysis of Rice Grains with an Automatic Image Processing System

1993 ◽  
Vol 88 (5) ◽  
pp. 402-406 ◽  
Author(s):  
Takashi MIKAMI ◽  
Hirotoshi MITAMURA ◽  
Shigeharu KANEMOTO ◽  
Shota TANIMOTO ◽  
Yoshinobu TSUCHIYA ◽  
...  
Keyword(s):  
Image Processing ◽  
Shape Analysis ◽  
Three Dimensional ◽  
Processing System ◽  
Image Processing System ◽  
Rice Grains ◽  
Automatic Image Processing ◽  
Dimensional Shape ◽  
Three Dimensional Shape

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.

EMCAT: An automatic image-processing system for electron-microscopic tomography

1994 ◽  
Vol 52 ◽  
pp. 418-419
Author(s):  
Weiping Liu ◽  
John W. Sedat ◽  
David A. Agard
Keyword(s):  
Image Processing ◽  
Structural Information ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Processing System ◽  
Electron Microscopic ◽  
Data Set ◽  
Ordered Structures ◽  
Automatic Image Processing ◽  
Em Tomography

Any real world object is three-dimensional. The principle of tomography, which reconstructs the 3-D structure of an object from its 2-D projections of different view angles has found application in many disciplines. Electron Microscopic (EM) tomography on non-ordered structures (e.g., subcellular structures in biology and non-crystalline structures in material science) has been exercised sporadically in the last twenty years or so. As vital as is the 3-D structural information and with no existing alternative 3-D imaging technique to compete in its high resolution range, the technique to date remains the kingdom of a brave few. Its tedious tasks have been preventing it from being a routine tool. One keyword in promoting its popularity is automation: The data collection has been automated in our lab, which can routinely yield a data set of over 100 projections in the matter of a few hours. Now the image processing part is also automated. Such automations finish the job easier, faster and better.

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