Time-Varying Color Image Processing System Based on a Reconfigurable Pipeline Architecture

1989 ◽  
Author(s):  
Tomomitsu Murano ◽  
Shigeru Sasaki ◽  
Tohru Ozaki ◽  
Yoshiyuki Ohta ◽  
Masatoshi Komeichi
Keyword(s):  
Image Processing ◽  
Color Image ◽  
Processing System ◽  
Color Image Processing ◽  
Time Varying ◽  
Pipeline Architecture ◽  
Image Processing System

IDATEN: A reconfigurable video-rate color image processing system

1992 ◽  
Vol 23 (13) ◽  
pp. 76-89
Author(s):  
Satoshi Naoi ◽  
Masatoshi Komeichi ◽  
Yoshiyuki Ohta ◽  
Tohru Ozaki ◽  
Shigeru Sasaki ◽  
...  
Keyword(s):  
Image Processing ◽  
Color Image ◽  
Processing System ◽  
Color Image Processing ◽  
Image Processing System

A Color Image Processing System for Transient Liquid Crystal Heat Transfer Experiments

1996 ◽  
Vol 118 (3) ◽  
pp. 421-427 ◽  
Author(s):  
Z. Wang ◽  
P. T. Ireland ◽  
T. V. Jones ◽  
R. Davenport
Keyword(s):  
Heat Transfer ◽  
Image Processing ◽  
Liquid Crystal ◽  
Surface Temperature ◽  
Color Image ◽  
Crystal Surface ◽  
Processing System ◽  
Color Image Processing ◽  
Image Processing System ◽  
History Of

A color image processing system for liquid crystal heat transfer experiment has been developed. The system is capable of digitizing and processing the complete liquid crystal surface color (hue) change history in a transient test and, together with a calibration, can give the complete history of surface temperature over a full surface. Two methods for automatically processing the hue history to give heat transfer coefficient distributions are presented. Both methods raise the accuracy of the transient technique above other approaches by using the redundancy inherent in the multiple surface temperature measurements. The first regression approach applied to the determination of both h and Tgas is reported. The uncertainty in all measurements has been quantified and examples of applications of both techniques given.

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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