DocumentCode :
3422978
Title :
Design and implementation of a vision system using a neural network classifier
Author :
Blankenship, Britt ; Alouani, Ali T.
Author_Institution :
Center for Manuf. Res., Tennessee Technol. Univ., Cookeville, TN, USA
fYear :
1997
fDate :
9-11 Mar 1997
Firstpage :
29
Lastpage :
33
Abstract :
The paper deals with the design and implementation of a vision system. The different design tasks are described, along with the experimental performance of the system. This project involves background from systems theory, image processing, artificial neural networks, and engineering software
Keywords :
image classification; neural nets; robot vision; artificial neural networks; design tasks; engineering software; experimental performance; image processing; neural network classifier; systems theory; vision system design; Classification tree analysis; Control systems; Feature extraction; Machine vision; Neural networks; Pixel; Robot control; Robot vision systems; Shape; Smart cameras;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
Conference_Location :
Cookeville, TN
ISSN :
0094-2898
Print_ISBN :
0-8186-7873-9
Type :
conf
DOI :
10.1109/SSST.1997.581573
Filename :
581573
Link To Document :
بازگشت