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

机译:采用先进AI方法检测和分类工业射线照相中的焊接缺陷

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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:本文介绍并很快讨论了基于放射线照相图像的焊接缺陷的自动检测和分类所产生的AI算法。描述了三种方法:利用模糊逻辑,利用人工神经网络,基于粗糙集理论。附上了所获得的分类器的精度以及所选示例的数据。

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