增强蛋白质芯片图像的质量度量。

Li-Qiang Wang, Xu-Xiang Ni, Zu-Kang Lu, Xu-Feng Zheng, Ying-Sheng Li
{"title":"增强蛋白质芯片图像的质量度量。","authors":"Li-Qiang Wang,&nbsp;Xu-Xiang Ni,&nbsp;Zu-Kang Lu,&nbsp;Xu-Feng Zheng,&nbsp;Ying-Sheng Li","doi":"10.1631/jzus.2004.1621","DOIUrl":null,"url":null,"abstract":"<p><p>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, the consistency of the signal intensity.</p>","PeriodicalId":85042,"journal":{"name":"Journal of Zhejiang University. Science","volume":"5 12","pages":"1621-8"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1631/jzus.2004.1621","citationCount":"7","resultStr":"{\"title\":\"Enhancing the quality metric of protein microarray image.\",\"authors\":\"Li-Qiang Wang,&nbsp;Xu-Xiang Ni,&nbsp;Zu-Kang Lu,&nbsp;Xu-Feng Zheng,&nbsp;Ying-Sheng Li\",\"doi\":\"10.1631/jzus.2004.1621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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, the consistency of the signal intensity.</p>\",\"PeriodicalId\":85042,\"journal\":{\"name\":\"Journal of Zhejiang University. Science\",\"volume\":\"5 12\",\"pages\":\"1621-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1631/jzus.2004.1621\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Zhejiang University. Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1631/jzus.2004.1621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Zhejiang University. Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1631/jzus.2004.1621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本文提出了一种改进蛋白质微阵列图像质量度量的新方法,该方法采用基于局部统计特性的切换方案,采用自适应中值滤波器降低脉冲噪声;利用滤波窗口内像素的标准差与当前关注像素的差值实现脉冲检测。它还使用礼帽过滤器来纠正背景变化。为减少时间消耗,顶帽滤波器芯采用交叉结构。实验结果表明,对于受脉冲噪声污染且背景变化缓慢的蛋白质微阵列图像,新方法可以显著提高信噪比,校正背景中的趋势,增强背景的平整度、信号强度的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Enhancing the quality metric of protein microarray image.

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, the consistency of the signal intensity.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Synergetic effects for p-nitrophenol abatement using a combined activated carbon adsorption-electrooxidation process. Self-desiccation mechanism of high-performance concrete. Preparation of natural alpha-tocopherol from non-alpha-tocopherols. Comparison of volatile and semivolatile compounds from commercial cigarette by supercritical fluid extraction and simultaneous distillation extraction. Land degradation, government subsidy, and smallholders' conservation decision: the case of the loess plateau in China.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1