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A Method of weld Edge Extraction in the X-ray Linear Diode Arrays Real-time imaging

机译:X射线线性二极管阵列中的焊接边缘提取方法实时成像

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The weld edge extraction could decrease computation, avoid complex background processing and reduce computing time,so improve the efficiency of detection for internal weld defections analysis of the Linear Diode Arrays real-time imaging. The adaptive median filtering is used to decrease noise for real-time weld image. Which the variance ratio of interclass and intraclass segmentation is applied to segment weld region by comparing with Sobel operator, Canny operator and iterative methods, Finally, the edge tracking is applied for the binary image, so weld image was extracted. Simulation results indicated that the adaptive median filtering effectively removes noise,and maintain the edge details of weld and defection image; the variance ratio of interclass and intraclass segmentation could accurately distinguished between the welded metal and the base metal;Edge tracking can get continuous weld image contours, finally weld image was accurately extracted according to the obtained results.
机译:焊接边缘提取可降低计算,避免复杂的背景处理并降低计算时间,因此提高了线性二极管阵列的内部焊接缺陷分析的检测效率。自适应中值滤波用于降低实时焊接图像的噪声。通过与Sobel操作者,罐内操作员和迭代方法相比,将跨越间和跨读数分割的方差比应用于区段焊接区域,最后,对二进制图像施加边缘跟踪,因此提取焊接图像。仿真结果表明,自适应中值滤波有效地消除了噪声,并保持焊缝和缺陷图像的边缘细节;焊接金属和基础金属之间可以精确地区分焊金属和基底金属的差异比;边缘跟踪可以得到连续焊接图像轮廓,最后根据所获得的结果精确提取焊接图像。

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