An Advanced Image Processing Technique for Backscatter-Electron Data by Scanning Electron Microscopy for Microscale Rock Exploration
Zhaoliang Hou, Kunfeng Qiu, Tong Zhou, Yiwei Cai
An Advanced Image Processing Technique for Backscatter-Electron Data by Scanning Electron Microscopy for Microscale Rock Exploration
Backscatter electron analysis from scanning electron microscopes (BSE-SEM) produces high-resolution image data of both rock samples and thin-sections, showing detailed structural and geochemical (mineralogical) information. This allows an in-depth exploration of the rock microstructures and the coupled chemical characteristics in the BSE-SEM image to be made using image processing techniques. Although image processing is a powerful tool for revealing the more subtle data “hidden” in a picture, it is not a commonly employed method in geoscientific microstructural analysis. Here, we briefly introduce the general principles of image processing, and further discuss its application in studying rock microstructures using BSE-SEM image data.
Image processing / rock microstructures / electron-based imaging / data mining
[] |
|
[] |
Boyat, A. K., Joshi, B. K., 2015. A Review Paper: Noise Models in Digital Image Processing. arXiv: 1505.03489. http://arxiv.org/abs/1505.03489
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
Jain, V., Seung, H. S., 2008. Natural Image Denoising with Convolutional Networks. Proceedings of the 21st International Conference on Neural Information Processing Systems, December 8–10, 2008, Vancouver, British Columbia, Canada. 769–776. https://doi.org/10.5555/2981780.2981876
|
[] |
Karras, T., Laine, S., Aittala, M., et al., 2020. Analyzing and Improving the Image Quality of StyleGAN. Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle. IEEE. 8107–8116. https://doi.org/10.1109/CVPR42600.2020.00813
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
[] |
|
/
〈 | 〉 |