An image processing approach for two-phase interfaces visualized by a real time neutron radiography technique

1998 ◽  
Vol 9 (4) ◽  
pp. 203-210 ◽  
Author(s):  
Keiichi Uchimura ◽  
Glenn D. Harvel ◽  
Takaaki Matsumoto ◽  
Masayuki Kanzaki ◽  
Jen-Shih Chang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Neutron Radiography ◽  
Two Phase ◽  
Processing Approach

scholarly journals Differentiating Birds and Animals using Deep Learning Neural Network with Image Processing Approach

2020 ◽  
Vol 5 (9) ◽  
pp. 609-613
Author(s):  
K Pandiaraj ◽  
P Sivakumar ◽  
V Nandhini ◽  
S Parkav
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Deep Learning ◽  
Real Time ◽  
The Real ◽  
Processing Approach ◽  
Human Effort ◽  
Deep Learning Neural Network

In farms we can see that the birds and animals destroying the crops. The movement of birds and animals cannot be controlled by any method. We can only drive away them. To drive away them, humans are used. To reduce the human effort we have introduced a method using image processing. In this method, the real time images are given as input and sound will be derived as output. The image given as input is compared with the trained images and classified into birds and animals. After the identification, birds can be driven away by using cracker sound and animals can be driven away by using a human sound.

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