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Retracted: Robustness Design of Logic or CNN Template for Binary Image

Authors :
Wang Le-Le
Wei Xiaoting
Li Guodong
Li Shuo
Source :
2016 International Conference on Smart City and Systems Engineering (ICSCSE).
Publication Year :
2016
Publisher :
IEEE, 2016.

Abstract

The algorithm of logical or operation for binary image is less. A kind of Cellular Neural Networks (CNN) template that can realize logic or of binary image was studied and a new algorithm was proposed. By setting binary image logic or algorithms, and analyzes LOGOR CNN template robustness, proposed a theorem, finally gives a strict mathematical proof. As long as the actual use of the template parameters conform to theorem is given in the parameter range, CNN can realize logic or operation of binary image. Experimental results verify the effectiveness of LOGOR CNN and the feasibility of the design robustness theorem in practical application.

Details

Database :
OpenAIRE
Journal :
2016 International Conference on Smart City and Systems Engineering (ICSCSE)
Accession number :
edsair.doi...........356a90eb797293c7b94ef7e09d531fd2
Full Text :
https://doi.org/10.1109/icscse.2016.0146