A median-Gaussian filtering framework for Moire pattern noise removal from X-ray microscopy image

作者：Wei Zhouping^*; Wang Jian; Nichol Helen; Wiebe Sheldon; Chapman Dean

来源：Micron, 2012, 43(2-3): 170-176.

DOI：10.1016/j.micron.2011.07.009

• STXM
• Moire pattern
• Image processing
• Median filter
• Gaussian notch filter

Moire 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 Moire pattern noise during the image data acquisition stage. In this paper, we introduce a post-processing method for filtering Moire pattern noise from STXM images. This method includes a semiautomatic 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.

• 出版日期2012-2