太阳能电池检测中的联合超分辨率和校正
Joint Super-Resolution and Rectification for Solar Cell Inspection
摘要：
太阳能组件的目视检查是光伏电站中重要的监控设施。由于快速CMOS传感器的单次测量在空间分辨率上受到限制，并且通常不足以可靠地检测小缺陷，因此我们将多帧超分辨率（MFSR）应用于低分辨率测量的序列。此外，透镜畸变的校正和去除简化了后续分析。因此，我们建议将此预处理与标准MFSR算法融合。这是有利的，因为我们省略了单独的处理步骤，运动估计变得更稳定，并且经校正的模块图像上的高分辨率（HR）像素的间隔变得均匀w。R. t.模块平面，而不考虑透视变形。我们提出了一个全面的用户研究表明，MFSR是有益的缺陷识别由人类专家和所提出的方法比最先进的执行更好。此外，我们应用自动裂缝分割，并表明，所提出的方法比双三次上采样和2倍比最先进的自动检测。
英文摘要：
Visual inspection of solar modules is an important monitoring facility in photovoltaic power plants. Since a single measurement of fast CMOS sensors is limited in spatial resolution and often not sufficient to reliably detect small defects, we apply multi-frame super-resolution (MFSR) to a sequence of low resolution measurements. In addition, the rectification and removal of lens distortion simplifies subsequent analysis. Therefore, we propose to fuse this pre-processing with standard MFSR algorithms. This is advantageous, because we omit a separate processing step, the motion estimation becomes more stable and the spacing of high-resolution (HR) pixels on the rectified module image becomes uniform w. r. t. the module plane, regardless of perspective distortion. We present a comprehensive user study showing that MFSR is beneficial for defect recognition by human experts and that the proposed method performs better than the state of the art. Furthermore, we apply automated crack segmentation and show that the proposed method performs 3x better than bicubic upsampling and 2x better than the state of the art for automated inspection.
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