Design for robustness counter detection CNN with applications

This paper presents a theorem for designing the robustness template parameters of a cellular neural network (CNN) to detect contours in images. The theorem provides parameter inequalities for determining parameter intervals to implement corresponding tasks. As two first examples, the contour detecti...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Hongyan Zang, Guodong Li, Lequan Min, Jianghe Wang, Huiwen Hong, Yanling Liu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biomedical imaging Cellular neural networks Counting circuits Gray-scale Image analysis Image edge detection Liver Object detection Polynomials Robustness
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!