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A novel centerline extraction algorithm for a laser stripe applied for turbine blade inspection

机译:一种用于涡轮叶片检查的激光条纹的新型中心线提取算法

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摘要

Line-laser 3D scanning is a novel and promising automation technique for turbine blade inspection. One key task encountered in line-laser 3D scanning is centerline extraction of the laser stripes. In some regions, there is asymmetry of the line profiles caused by high curvature, such as the leading and trailing edges of a blade. According to the asymmetric Gaussian distribution line profile, this paper presents a new algorithm to extract the centerline of a laser stripe based on sub-pixel boundary extraction and medial axis transformation. The candidate boundary points of the laser stripe are extracted by zero crossing. Based on Taylor expansion and interpolation, the gray gradient distribution of the boundary can be estimated accurately. Following this, the accurate boundary points are extracted by extreme values of the gray gradient, and the centerline is calculated by medial axis transformation of the accurate boundary points. The proposed method can effectively reduce errors caused by the asymmetry of line profiles in areas of high curvature. The effectiveness of this method is verified using simulation and measuring experiments. The experiment results show that the extraction error of the asymmetric Gaussian line profile is within +/- 0.15 pixels, and the root mean square error in measurement accuracy experiments does not exceed 0.015 mm.
机译:线激光3D扫描是一种用于涡轮机叶片检查的新颖和有前途的自动化技术。线激光3D扫描中遇到的一个关键任务是激光条纹的中心线提取。在一些区域中,由高曲率引起的线型材的不对称性,例如叶片的前导和后缘。根据不对称高斯分布线轮廓,本文提出了一种基于子像素边界提取和内侧轴变换的激光条带的中心线的新算法。激光条带的候选边界点被零交叉提取。基于泰勒膨胀和插值,可以准确地估计边界的灰色梯度分布。在此之后,通过灰度梯度的极端值提取精确的边界点,并且中心线通过准确边界点的内侧轴变换来计算。所提出的方法可以有效地减少由高曲率区域的线谱的不对称引起的误差。使用模拟和测量实验验证该方法的有效性。实验结果表明,非对称高斯线轮廓的提取误差在+/- 0.15像素内,测量精度实验中的根均方误差不超过0.015 mm。

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