Medical image noise reduction using cellular neural networks

被引：0
|
作者：
Su, Te-Jen [1 ]
Jhang, Jyun-Wei [1 ]
机构：
[1] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, Kaohsiung, Taiwan
来源：
IIH-MSP: 2006 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel method for designing templates of cellular neural networks to reduce the image noise is discussed. The discrete-time cellular neural network (DTCNN) combining with genetic algorithm (GA) is applied to image noise reducing. Based on GA method, the templates of CNN are optimized to diminish noise interference in polluted image. The demonstrated examples are presented to illustrate the better performance of the proposed methodology (GA-CNN).
引用
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页码：228 / +
页数：2
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