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Real-time traceability method of width of defect based on divide-and-conquer

机译:基于剥夺和征服的缺陷宽度的实时可追溯性方法

摘要

In a real-time traceability method of a width of a defect based on divide-and-conquer provided by the present invention, through the calibration transfer function, the multidimensional eigenvector analysis technology based on the electromagnetic field simulation database of defect scattered dark-field imaging and the adaptive threshold segmentation method, the real-time traceability of the width of the defect greater than and close to the diffraction limit of the system is performed, respectively. The extreme random tree regression model is trained by multidimensional eigenvector analysis technology based on the multidimensional eigenvectors in the electromagnetic field simulation database of the defect scattered dark-field imaging. The present invention solves the problems that the width of the defect in defect detection is difficult to be accurately measured in real time, and the conventional image processing algorithm is difficult to accurately identify the width of the defect close to the diffraction limit of the system.
机译:在基于本发明提供的缺陷的缺陷宽度的实时可追溯性方法中,通过校准传递函数,基于缺陷散射暗场电磁场模拟数据库的多维特征传感器分析技术成像和自适应阈值分割方法,分别执行大于和接近系统的衍射极限的缺陷宽度的实时可追溯性。基于缺陷散射暗场成像的电磁场模拟数据库中的多维特征向量,通过多维特征向量技术训练了极端随机树回归模型。本发明解决了难以实时测量缺陷检测中缺陷的宽度的问题,并且难以准确地识别靠近系统的衍射极限的缺陷的宽度。

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