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Fast 2D crack profile reconstruction by image processing for Eddy-Current Testing

机译:通过图像处理快速二维裂纹轮廓重建,用于涡流测试

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Fast reconstruction of defects geometry is one of the main goal of Eddy Current Non-destructive testing. The information about the type of defects, their shapes, orientations and geometrical characteristics is of great importance in evaluating the impact of defects on structures' integrity and operation safety. From one point of view, the knowledge of the defect shape could give important information about the manufacturing, the use or the cause that have stressed the specimen and generated the defect, and from the other point of view the reconstruction of geometrical parameters of defect could be made easier if the shape of the defect is known. Although many inverse procedures have been developed for Eddy Current Testing, usually high-computational time and resources are requested, hampering the application of 3D reconstruction methods in on-line or in-situ inspections. In this paper a fast 2D defect profile reconstruction technique is presented based on image processing. The main idea of the proposed method is that images obtained from the maps of magnetic field on specimen with flaws, express a trend attributable to a class of known functions. In particular, the shape of the obtained image depends on both the type of defect that the type of measurement probe adopted. Then using a suitable reference image related to the response of the probe as a digital filter to process the acquired image through deconvolution or correlation operations, the shape of the flaw that has generated the image can be retrieved.
机译:快速重建缺陷几何形状是涡流无损检测的主要目标之一。有关缺陷类型,其形状,方向和几何特性的信息对于评估缺陷对结构完整性和操作安全性的影响非常重要。从一个角度来看,对缺陷形状的了解可以提供有关应力,试样产生缺陷的制造,使用或原因的重要信息,而从另一个角度来看,可以重建缺陷的几何参数如果缺陷的形状已知,则可以更容易地进行加工。尽管已经为涡流测试开发了许多逆过程,但是通常需要大量的计算时间和资源,这阻碍了3D重建方法在在线或现场检查中的应用。本文提出了一种基于图像处理的快速二维缺陷轮廓重建技术。提出的方法的主要思想是,从具有缺陷的标本上的磁场图获得的图像表示出归因于一类已知函数的趋势。特别地,所获得的图像的形状取决于测量探针的类型所采用的缺陷的类型。然后,使用与探头响应有关的合适参考图像作为数字滤波器,以通过反卷积或相关运算来处理获取的图像,从而可以检索出已生成图像的缺陷的形状。

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