[1]ZHAO Chun-hui,XIAO Xiao-jun.Optimizing stacked filters with mirrored threshold decomposition using an improved clone selection and PSO algorithm[J].CAAI Transactions on Intelligent Systems,2008,3(2):129-134.
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Optimizing stacked filters with mirrored threshold decomposition using an improved clone selection and PSO algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 3 Number of periods: 2008 2 Page number: 129-134 Column: 学术论文—智能系统 Public date: 2008-04-25
Title:
Optimizing stacked filters with mirrored threshold decomposition using an improved clone selection and PSO algorithm
Author(s):
ZHAO Chun-hui;  XIAO Xiao-jun 
College of Information and Communication Engineering, Harbin Engineering Univer sity, Harbin 150001,China
Keywords:
mirrored threshold decomposition;  positive Boolean function (PBF);  stacked filters;  clone selection algorithm;  Particle swarm optimization(PSO)
CLC:
TN911.26
DOI:
-
Abstract:
Stack filters are a class of nonlinear digital filters with sliding windows. Their two main properties are threshold decomposition and stacking. Optimal design of these filters requires optimization of a positive Boolean function (PBF). Optimization of stacked filters using traditional algorithms is easily trapped in a local optimum. To prevent this in recent years the bionic clone selection and PSO algorithms were proposed. The combination of these two algorithms avoids the problem of falling into a local minimum, greatly improving convergence speed and accuracy．Experimental results show that optimally stacked filters effectively suppress noise while retaining details of images and enhancing filtering capability. 
References:
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