基于灰度的螺旋缝焊管X光焊缝识别

    Grayscale-based X-ray Weld Seam Recognition for SSAW Pipe

    • 摘要: 焊缝识别是螺旋缝焊管X光缺陷识别的基础。以MATLAB软件图像处理工具箱IPT为基础,根据螺旋缝焊管X光图像的特征,通过中值滤波、屏蔽等预处理,利用图像梯度及概率求取焊缝中心线,并进一步精化,从而实现焊缝分割。通过实例给出识别算法,并分析该X光焊缝识别方法的适用性。

       

      Abstract: Welded seam identification is the major purpose of X-ray defect recognition technique for the spiral welded pipe.Based on the MATLAB image toolbox IPT, and according to the characteristics of the X-ray image of the spiral welded pipe, welded seam segmentation is implemented by means of median filtering, ROI shielding pretreatment, and using the image gradient and probability to calculate the weld centerline which is then further refined.Finally, the recognition algorithm is described with actual examples, and the applicability of the X-ray weld seam recognition method is analyzed.

       

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