发表机构
Southern University of Science and Technology（南方科技大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出结合多尺度卷积、跳跃连接与独立监督的方法，在RHEED图像中定位候选菊池区域，经实验验证其在实验室及公开硫族化合物图像上的交并比表现，为菊池线相关分析提供基础。
AI 中文摘要
反射高能电子衍射（RHEED）中的菊池线与菊池带承载着晶体几何结构和电子散射的信息，但常被高强度的衍射条纹所遮蔽。我们将多尺度卷积与跳跃连接带来的空间细节、独立监督相结合，该监督机制允许重叠区域分别定位衍射条纹和候选菊池区域。使用模型辅助编辑前完成的手动多边形标注，在来自不同生长批次的29张实验室测试图像上，菊池区域的交并比（IoU）为0.6290±0.0137。随后我们对公开的硫族化合物图像进行了监督适配，并根据三名独立评分观察者的中位数评分对图像按菊池可见性分层，其中两名观察者在评分时未看到预测结果。使用全部244张训练图像时，10张清晰特征组测试图像的IoU为0.5014±0.0336，而模糊图像的IoU更低；使用100张训练图像时，清晰特征组的IoU为0.5171±0.0073，扩大训练集还减少了对无目标特征图像的响应。报告的不确定度来自四次实验室运行或三次适配运行的样本标准差。公开图像适配使用了来源混杂的参考掩码，包括源自预测的草稿。该方法将视觉线索转换为可检查的空间区域，为分析线位置、交点和局部强度提供了基础。
英文摘要
Kikuchi lines and bands in reflection high-energy electron diffraction (RHEED) carry information on crystal geometry and electron scattering, but are often obscured by intense diffraction streaks. We combine multiscale convolution with spatial detail from skip connections and independent supervision that allows overlapping regions to localize streaks and candidate Kikuchi regions separately. Using manual polygon annotations made before model-assisted editing, the Kikuchi intersection-over-union (IoU) on 29 laboratory test images from separate growth batches was $0.6290 \pm 0.0137$. We then performed supervised adaptation to public chalcogenide images and stratified images by Kikuchi visibility using the median ratings of three observers who rated the images separately, two of whom rated with predictions hidden. With all 244 training images, IoU for the clear-feature group of 10 test images was $0.5014 \pm 0.0336$, whereas ambiguous images gave lower values. With 100 training images, clear-group IoU was $0.5171 \pm 0.0073$; expanding the training set also reduced responses on images without target features. Reported uncertainties are sample standard deviations across four laboratory runs or three adaptation runs. Public-image adaptation used reference masks of mixed provenance, including prediction-derived drafts. The method converts visual cues into inspectable spatial regions, providing a basis for analysis of line positions, intersections, and local intensity.
Comments42 pages, 16 figures, 16 tables; supplementary information included after the references
