Design of two-dimensional IIR digital structure-specified filters by using an improved genetic algorithm

被引：22

作者：

Tsai, Jinn-Tsong ^{[2
]}

Ho, Wen-Hsien ^{[3
]}

Chou, Jyh-Horng ^{[1
]}

机构：

[1] Natl Kaohsiung Univ Sci & Technol, Inst Syst Informat & Control, Kaohsiung 824, Taiwan

[2] Natl Pingtung Univ Educ, Dept Comp Sci, Pingtung 900, Taiwan

[3] Natl Kaohsiung Med Univ, Dept Med Informat Management, Kaohsiung 807, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2009年 / 36卷 / 03期

关键词：

Genetic algorithms; 2-D IIR digital structure-specified filters; Taguchi method; Image processing; RECURSIVE FILTERS; OPTIMIZATION;

D O I：

10.1016/j.eswa.2008.08.065

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work emphasizes solving a design problem of two-dimensional (2-D) infinite-impulse-response (IIR) digital structure-specified filters by using an improved genetic algorithm, which is called the hybrid Taguchi-genetic algorithm (HTGA), and then uses the designed filters to the image processing. The HTGA, used to digital 2-D filters design, can provide the robust optimal solutions. In this work, the HTGA approach is effectively applied to solve a 2-D IIR digital structure-specified filter design problem and is compared with the previous design methods. The design problem of the 2-D IIR digital structure-specified filter is reduced to a constrained minimization problem the solution of which is achieved by the convergence of the HTGA. The computational experiments with the application of the designed filters to focusing the defocused image show that the HTGA approach can obtain better results than the previous design methods. (c) 2008 Elsevier Ltd. All rights reserved.

引用

页码：6928 / 6934

页数：7

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