Automatic Robust Designs of Template Parameters for a Type of Uncoupled Cellular Neural Networks

DOI10.1007/978-3-642-54924-3_55zbMath1356.68171OpenAlexW584308094MaRDI QIDQ2963715

Min Zhang, Xiaoliang Zhang, Lequan Min

Publication date: 21 February 2017

Published in: Advances in Intelligent Systems and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-54924-3_55

zbMATH Keywords

cellular neural networkedge detectionrobust designautomatical image detectionconvex corner detection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Cites Work

• Robustness Design for CNN Templates with Performance of Extracting Closed Domain
• Cellular neural networks: theory
• CNN: A Vision of Complexity
• Cellular neural networks with non-linear and delay-type template elements and non-uniform grids
• UNIVERSAL CNN CELLS

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