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Retracted: Robustness Design of Logic or CNN Template for Binary Image
- 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.
- Subjects :
- 0209 industrial biotechnology
Theoretical computer science
Logical disjunction
Computer science
Binary image
Computer Science::Neural and Evolutionary Computation
02 engineering and technology
Mathematical proof
Robust design
020901 industrial engineering & automation
Robustness (computer science)
Computer Science::Computer Vision and Pattern Recognition
Cellular neural network
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Algorithm
Actual use
Subjects
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