ROBUST DESIGNS FOR GRAY-SCALE GLOBAL CONNECTIVITY DETECTION CNN TEMPLATES

DOI10.1142/S0218127407018816zbMath1147.68087OpenAlexW2020059267MaRDI QIDQ3511089

Jinzhu Liu, Lequan Min

Publication date: 4 July 2008

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127407018816

zbMATH Keywords

gray-scale imageCellular Neural Networkglobal conectivity detectionnonlinear template

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Cellular automata (computational aspects) (68Q80)

Cites Work

• Unnamed Item
• Cellular neural networks: theory
• CNN: A Vision of Complexity
• A CNN framework for modeling parallel processing in a mammalian retina
• DESIGNING CNN GENES
• UNIVERSAL CNN CELLS

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