| Enhancing the quality metric of protein microarray image |
| |
| 作者姓名： | 王立强 倪旭翔 陆祖康 郑旭峰 李映笙 |
| |
| 作者单位： | State Key Lab of Modern Optical Instrumentation，Zhejiang University，Hangzhou 310027，China，State Key Lab of Modern Optical Instrumentation，Zhejiang University，Hangzhou 310027，China，State Key Lab of Modern Optical Instrumentation，Zhejiang University，Hangzhou 310027，China，State Key Lab of Modern Optical Instrumentation，Zhejiang University，Hangzhou 310027，China，State Key Lab of Modern Optical Instrumentation，Zhejiang University，Hangzhou 310027，China |
| |
| 基金项目： | Project(No.30227002)supportedbytheNationalNaturalScienceFoundationofChina |
| |
| 摘 要： | The novel method of improving the quality metric of protein microarray image presented in this paper reduces impulse noise by using an adaptive median filter that employs the switching scheme based on local statistics characters; and achieves the impulse detection by using the difference between the standard deviation of the pixels within the filter window and the current pixel of concern. It also uses a top-hat filter to correct the background variation. In order to decrease time consumption, the top-hat filter core is cross structure. The experimental results showed that, for a protein microarray image contaminated by impulse noise and with slow background variation, the new method can significantly increase the signal-to-noise ratio, correct the trends in the background, and enhance the flatness of the background and the consistency of the signal intensity.
|
Enhancing the quality metric of protein microarray image |
| |
| WANG Li-qiang,NI Xu-xiang LU Zu-kangZHENG Xu-feng LI Ying-sheng.Enhancing the quality metric of protein microarray image[J].Journal of Zhejiang University Science,2004(12). |
| |
| Authors: | WANG Li-qiang NI Xu-xiang LU Zu-kangZHENG Xu-feng LI Ying-sheng |
| |
| Abstract: | The novel method of improving the quality metric of protein microarray image presented in this paper reduces impulse noise by using an adaptive median filter that employs the switching scheme based on local statistics characters; and achieves the impulse detection by using the difference between the standard deviation of the pixels within the filter window and the current pixel of concern. It also uses a top-hat filter to correct the background variation. In order to decrease time consumption, the top-hat filter core is cross structure. The experimental results showed that, for a protein microarray image contaminated by impulse noise and with slow background variation, the new method can significantly increase the signal-to-noise ratio, correct the trends in the background, and enhance the flatness of the background and the consistency of the signal intensity. |
| |
| Keywords: | Protein microarray Image enhancement Filter Noise |
| 本文献已被 CNKI 等数据库收录！ |
