1887

Abstract

Summary

Curtain noise is commonly seen in FIB-SEM data. It is mainly caused by heterogeneities in a rock specimen. It is very harmful because it may be recognized as fake pore throats, resulting in mis-estimation of rock properties. By comparing a number of image processing methods, we find that 2D notch filter is capable of removing curtain noise, but may generate artefacts because different materials in a specimen have different milling rate, resulting in different features of curtain noise. We use a staged procedure to remove curtain noise without creating artefacts while keeping the details of an image. Using the staged strategy and 2D notch filter, the curtain noise can be significantly reduced and other components, especially the details of a FIB-SEM image are well reserved without obvious artefacts that exist after a usual curtain-removal process. In addition, this method is suitable for massive FIB-SEM image processing.

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/content/papers/10.3997/2214-4609.201601063
2016-05-30
2024-03-29
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References

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