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Detection and classification of weld defects in industrial radiography with use of advanced AI methods

机译:使用先进的AI方法对工业射线照相中的焊接缺陷进行检测和分类

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The paper presents and shortly discusses the AI algorithms created for automated detection and classification of weld defects on the basis of radiography images. The three approaches are described: with use of fuzzy logic, with use of artificial neural networks and that basing on rough sets theory. The data evaluating the accuracies of obtained classifiers as well as chosen examples are attached.
机译:本文介绍并简要讨论了基于放射线图像为焊接缺陷的自动检测和分类而创建的AI算法。描述了三种方法:使用模糊逻辑,使用人工神经网络以及基于粗糙集的方法。随附评估获得的分类器准确性的数据以及所选示例。

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