Department of Anatomy & Cell Biology, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
Micron. 2012 Feb;43(2-3):170-6. doi: 10.1016/j.micron.2011.07.009. Epub 2011 Jul 19.
Moiré pattern noise in Scanning Transmission X-ray Microscopy (STXM) imaging introduces significant errors in qualitative and quantitative image analysis. Due to the complex origin of the noise, it is difficult to avoid Moiré pattern noise during the image data acquisition stage. In this paper, we introduce a post-processing method for filtering Moiré pattern noise from STXM images. This method includes a semi-automatic detection of the spectral peaks in the Fourier amplitude spectrum by using a local median filter, and elimination of the spectral noise peaks using a Gaussian notch filter. The proposed median-Gaussian filtering framework shows good results for STXM images with the size of power of two, if such parameters as threshold, sizes of the median and Gaussian filters, and size of the low frequency window, have been properly selected.
在扫描透射 X 射线显微镜（STXM）成像中，莫尔条纹噪声会给定性和定量图像分析带来显著误差。由于噪声的复杂起源，在图像数据采集阶段很难避免莫尔条纹噪声。本文提出了一种从 STXM 图像中滤除莫尔条纹噪声的后处理方法。该方法包括使用局部中值滤波器半自动检测傅里叶幅度谱中的谱峰，并使用高斯带阻滤波器消除谱噪声峰。如果适当选择了阈值、中值滤波器和高斯滤波器的大小以及低频窗口的大小等参数，则所提出的中值-高斯滤波框架对于大小为 2 的幂的 STXM 图像显示出良好的结果。
