Title :
Robust Designs for Shadow Projection CNN
Author :
Li, Weidong ; Min, Lequan
Author_Institution :
Univ. of Sci. & Technol. Beijing, Beijing
Abstract :
The cellular neural/nonlinear network (CNN) has become a useful tool for image and signal processing, biological visions, and higher brain functions. Based on our previous research, this paper gives local rules, and set up a series theorems of robust designs for shadow projection CNN in processing binary images, which provide parameter inequalities to determine parameter intervals for implementing the prescribed image processing function. Some numerical simulation examples are given.
Keywords :
cellular neural nets; image processing; nonlinear systems; binary images; cellular neural network; cellular nonlinear network; image processing function; robust designs; shadow projection CNN; Application software; Biological system modeling; Biomedical signal processing; Cellular networks; Cellular neural networks; Image edge detection; Image processing; Numerical simulation; Robustness; Signal design;
Conference_Titel :
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1685-1
Electronic_ISBN :
978-1-4244-1686-8
DOI :
10.1109/ICNSC.2008.4525487
