Robust designs for compound 4 adjoining points circle detection
Sha Sha, Jinzhu Liu, Lequan Min · Computer Engineering and Applications Journal · 2011
The Cellular Neural/Nonlinear Network(CNN) has become a new tool for image and signal processingr,obotic and biological visions,and higher brain functions.Robust design for CNN templates is one of the important issues for the practical applications of the CNNs.The purpose is to design a Novel Four Adjoining Points Circle Detection(NFAPCD) CNN and to set up a theorem for robust designs of NFAPCD CNNs.The theorem provides parameter inequalities to determine parameter intervals for implementing prescribed image processing functions.Numerical examples show that theoretical results are effective for computer image processing.