title: Enhancing the quality metric of protein microarray image.
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, the consistency of the signal intensity.
authors.affiliation: State Key Lab of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China. wangliqiang@zju.edu.cn
authors.forename: Li-Qiang
authors.initials: LQ
authors.lastname: Wang
authors.forename: Xu-Xiang
authors.initials: XX
authors.lastname: Ni
authors.forename: Zu-Kang
authors.initials: ZK
authors.lastname: Lu
authors.forename: Xu-Feng
authors.initials: XF
authors.lastname: Zheng
authors.forename: Ying-Sheng
authors.initials: YS
authors.lastname: Li
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D018613:Microscopy, Confocal / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D040081:Protein Array Analysis / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted