钢铁研究学报(英文版)
 
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钢铁研究学报(英文版)  2022, Vol. 29 Issue (5): 836-845    DOI: 10.1007/s42243-021-00719-7
论著 最新目录| 下期目录| 过刊浏览| 高级检索 |
A deep learning-based method for segmentation and quantitative characterization of microstructures in weathering steel from sequential scanning electron microscope images
Bing Han1,2, Wei-hao Wan1,3, Dan-dan Sun1,2, Cai-chang Dong1,2, Lei Zhao1,3, Hai-zhou Wang1,3
1 Beijing Advanced Innovation Center for Materials Genome Engineering, Central Iron & Steel Research Institute, Beijing 100081, China 2 Qingdao NCS Testing & Corrosion Protection Technology Co., Ltd., Qingdao 266071, Shandong, China 3 Beijing Key Laboratory of Metal Materials Characterization, Central Iron & Steel Research Institute, Beijing 100081, China
A deep learning-based method for segmentation and quantitative characterization of microstructures in weathering steel from sequential scanning electron microscope images
Bing Han1,2, Wei-hao Wan1,3, Dan-dan Sun1,2, Cai-chang Dong1,2, Lei Zhao1,3, Hai-zhou Wang1,3
1 Beijing Advanced Innovation Center for Materials Genome Engineering, Central Iron & Steel Research Institute, Beijing 100081, China 2 Qingdao NCS Testing & Corrosion Protection Technology Co., Ltd., Qingdao 266071, Shandong, China 3 Beijing Key Laboratory of Metal Materials Characterization, Central Iron & Steel Research Institute, Beijing 100081, China

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