Study of flow dynamics by optical-correlation method

1972 ◽  
Vol 10 (4) ◽  
pp. 567-575
Author(s):  
N. F. Derevyanko ◽  
A. M. Trokhan
Keyword(s):  
Correlation Method ◽  
Flow Dynamics ◽  
Optical Correlation

Two-dimensional cell tracking by FPGA-optical correlation method

2009 ◽  
Author(s):  
Iraís Solís ◽  
M. Torres-Cisneros ◽  
J. G. Aviña-Cervantes ◽  
O. G. Ibarra-Manzano ◽  
O. Debeir ◽  
...  
Keyword(s):  
Cell Tracking ◽  
Correlation Method ◽  
Two Dimensional ◽  
Optical Correlation ◽  
Dimensional Cell

Optical correlation method for measuring spatial complexity in optical fields

1993 ◽  
Vol 18 (2) ◽  
pp. 90 ◽  
Author(s):  
O. V. Angelsky ◽  
P. P. Maksimyak ◽  
T. O. Perun
Keyword(s):  
Correlation Method ◽  
Optical Fields ◽  
Optical Correlation ◽  
Spatial Complexity

Investigating flow of liquids by means of an optical correlation method

1969 ◽  
Vol 12 (4) ◽  
pp. 505-507
Author(s):  
N. F. Derevyanko ◽  
V. M. Latyshev ◽  
A. M. Trokhan
Keyword(s):  
Correlation Method ◽  
Optical Correlation

Optical Correlation Recognition Technology of Small Moving Target Based on Wavelet Multi-Scale Edge Fusion

2013 ◽  
Vol 552 ◽  
pp. 536-541
Author(s):  
Su Zhang ◽  
Qi Bo Zhang ◽  
You Jian Wang ◽  
Wen Sheng Wang
Keyword(s):  
High Speed ◽  
Target Recognition ◽  
Correlation Method ◽  
Moving Target ◽  
Joint Transform Correlator ◽  
Fusion Algorithm ◽  
Optical Correlation ◽  
Multi Scale ◽  
Template Update ◽  
Small Targets

Moving target recognition has a wide application in varieties of domains and has received more attention in recent years. Among all the recognition methods, optical correlation technology, using hybrid optoelectronic joint transform correlator (HOJTC), has the merits of parallel, large capacity and high-speed, so it is considered as one of the most effective methods for moving target detection. But in the course of detecting, some targets are too small to be recognized by HOJTC. These small targets in cluttered background and strong noise may affect the brightness of the correlation peaks and have a serious influence on target recognition results. In order to solve this problem, this paper applies a wavelet multi-scale edge fusion algorithm which firstly extracts the edge at different scales by wavelet modulus maximum method, and then fuses the detected edge to obtain more edge information of the target. In addition, for the moving distortion problems, taking temporal state of the target as the template can achieve the template update. To prove this method, many detection experiments of small moving targets have been performed with optical correlation method. As an example a small target “boat” taking up only pixels is presented. The recognition results show that the brightness of the correlation peaks is enhanced and the target recognition ratio is increased. The conclusion can be drawn that applying this algorithm in optical correlation method can realize the small moving target recognition successfully and expand the application to scope of optical correlation technology.

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