紧密对接焊缝多尺度形态学磁光成像检测方法
Detection of tight-butt joint weld based on multi-scale morphology of magneto-optical image
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摘要: 利用磁光传感器获取紧密对接微间隙（0~0.1 mm）焊缝磁光图像.针对传统形态学图像处理方法检测微间隙焊缝时容易出现边缘细节丢失的问题和存在检测精度不高的缺点，在四个不同方向上各选取三种不同尺度的结构元素，应用多尺度多结构元素形态学方法提取微间隙焊缝边缘信息，并与小波边缘检测和Sobel边缘检测结果相比较.在激励磁场变化情况下进行三组试验，分别采用多尺度形态学算法和传统形态学算法提取焊缝中心位置.结果表明，多尺度多结构元素形态学算法能更有效地检测出微间隙焊缝中心位置，为紧密对接焊缝的识别与跟踪控制提供试验依据.Abstract: A magneto-optical sensor is applied to acquire magneto-optical images of tight-butt joint weld whose width is less than 0.1mm. Edge details are often missed and the accuracy of weld detection is influenced when traditional morphology algorithm is applied to detect the edge of micro-gap weld magneto-optical image. Thus, selecting structure elements of three different scales at each different four directions with an approach of multi scales and multi structure elements based on morphology is used to acquire the micro-gap weld edge information. Also, the multi-scale edge detection result is compared with those results using traditional wavelet transform and Sobel algorithm. Three groups of experiments are carried out under different magnetic induction fields to detect the weld center by using the approaches based on multi-scale morphology and traditional morphology, respectively. According to the results, the multi scales and multi structure elements approach can obtain the micro-gap weld center more effectively, which provides a testing basis for tight-butt joint weld recognition and tracking.
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