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首页> 外文会议>Annual Symposium on Quantitative Nondestructive Evaluation; 19980719-24; Snowbird,UT(US) >USE OF BLIND DECONVOLUTION TO RESTORE EDDY CURRENT DATA FROM NON-DESTRUCTIVE TESTING OF DEFECTS IN WELDS
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USE OF BLIND DECONVOLUTION TO RESTORE EDDY CURRENT DATA FROM NON-DESTRUCTIVE TESTING OF DEFECTS IN WELDS

机译：使用盲卷积从焊缝缺陷的非破坏性测试中恢复涡流数据

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摘要

Blind deconvolution was tried as a methodology to restore eddy current data. In some cases the restoration results in smaller flaw images. We believe that these images could be used as the input for a data fusion algorithm, since they are more accurate for determining the crack mouth boundaries than the raw blurred data. It can be argued however that similar results could be obtained by simple (user interactive) thresholding. The method presented only involves the user determination of a support region and a filter size. Further research should focus on blind image restoration algorithms that incorporate the nonlinearity and shift-variance of the blurring mechanism. Features of a model-based approach to the problem should be used as prior information.
机译：尝试将盲反卷积作为一种还原涡流数据的方法。在某些情况下，修复会产生较小的缺陷图像。我们认为这些图像可以用作数据融合算法的输入，因为它们比确定的原始模糊数据更准确地确定裂纹口边界。但是可以争论的是，可以通过简单的（用户交互）阈值获得类似的结果。提出的方法仅涉及用户确定支撑区域和过滤器尺寸。进一步的研究应集中在融合模糊机制的非线性和位移方差的盲图像恢复算法上。基于模型的问题解决方法的功能应该用作先验信息。

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