Microarray image de-noising using stationary wavelet transform

被引：0
|
作者：
Wang, XH [1 ]
Istepanian, RSH [1 ]
Song, YH [1 ]
机构：
[1] Brunel Univ, E Med Syst & Bioinformat Engn Grp, Uxbridge UB8 3PH, Middx, England
来源：
ITAB 2003: 4TH INTERNATIONAL IEEE EMBS SPECIAL TOPIC CONFERENCE ON INFORMATION TECHNOLOGY APPLICATIONS IN BIOMEDICINE, CONFERENCE PROCEEDINGS: NEW SOLUTIONS FOR NEW CHALLENGES | 2003年
关键词：
stationary wavelet transform; microarray; denoising;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a stationary wavelet transform (SWT) method to de-noise the microarray images. It's well known that SWT is time invariant. Hence it makes particularly important in statistical signal processing applications, such as signal detection and de-noising. The testing result on sample microarray image has shown a clear and a better resolution image is obtained using this method.
引用
收藏
页码：15 / 18
页数：4
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