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Automatic ROI Extraction in Casting Flaw Detection

机译:铸造缺陷检测中的自动ROI提取

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Using a LoG operator to extract edges in casting flaw detection will produce many noise edges at the same time, which greatly affects the speed and precision of subsequent classification. In order to solve this problem, a method based on the maximum continuous subsequence algorithm has been developed as the preprocessing of casting flaw detection. Experiment shows that the method can effectively eliminate noise edges and preserve flaw contours as the KOI, which greatly reduces the subsequent processing.
机译:在铸造缺陷检测中使用LoG运算符提取边缘会同时产生许多噪声边缘,这极大地影响了后续分类的速度和精度。为了解决该问题,已经开发了基于最大连续子序列算法的方法作为铸造缺陷检测的预处理。实验表明,该方法可以有效消除噪声边缘,并保留像KOI一样的缺陷轮廓,从而大大减少了后续处理。

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