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一个Denoising自编码器用于改善基库奇模式质量和电子反射散射衍射中的索引

Caleb E Andrews¹, Maria Strantza², Nicholas P Calta²

¹Johns Hopkins University, Department of Materials Science and Engineering, Baltimore, MD.

Ultramicroscopy

|July 10, 2023

概括

自动编码器图像消极化技术提高了电子反射散射衍射 (EBSD) 数据质量,导致更准确的晶体分析和减少应变计算中的错误.

科学领域:

材料科学材料科学材料科学
晶体学晶体学是指结晶学.
数据科学数据科学数据科学

背景情况:

电子反射散射衍射 (EBSD) 对于确定晶体学方向和微观结构至关重要.
由于噪音,EBSD数据质量往往受到损害,影响索引准确性和分析.
样本准备和数据收集参数等因素影响模式质量和信心指数 (CI).

研究的目的:

为了提高EBSD数据质量和改进方向适合的准确性,特别是在杂的数据集.
为了实现更快的EBSD数据收集,而不会牺牲分析精度.
为了减少微观结构表征和应变分析中的错误.

主要方法:

实现用于EBSD模式处理的图像无音自动编码器.
评估已撤销的EBSD数据,以提高信心指数 (CI) 和图像质量 (IQ).
在高分辨率的EBSD (HR-EBSD) 中应用无色化数据集,用于交叉相关性菌株分析.

主要成果:

自动编码器处理显著改善了CI,IQ,以及定向匹配的准确性.
否定的EBSD数据导致了更可靠的晶体学和微观结构信息.
使用被拒绝的数据进行HR-EBSD菌株分析,减少了幻状菌株和提高了准确性.

结论:

自动编码器无声化方法有效地提高了EBSD数据质量和分析准确性.
这种方法促进了更快的EBSD数据采集和更可靠的微观结构分析.
改进了索引准确度,从拒绝后续分析的好处,如HR-EBSD菌株映射.

关键词:

电子反射散射器的折射差异是电子的反射差异.人权高官-欧洲安全与发展理事会图像处理图像处理机器学习机器学习扫描电子显微镜扫描电子显微镜测量延展的测量.

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