微间隙焊缝磁光成像分形维数识别方法
Recognition of magneto-optical image of micro-gap weld using fractal dimension method
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摘要: 针对紧密对接、无坡口、肉眼难以分辨的微间隙焊缝,采用磁光成像方法获取焊缝位置信息,并运用分形维数方法解决焊缝磁光图像存在较多干扰的问题.根据图像大视野相关信息处理图像,避免受到图像微小细节干扰对焊缝位置识别精度的影响,较传统图像处理法具有显著的抗干扰性.对焊缝磁光图像进行滤波去噪,将图像细分成块并计算出每个图像块的分形维数,再选取合适阈值对图像进行分割,准确地提取出焊缝中心位置.试验结果表明,运用分形维数提取磁光图像焊缝边缘区域特征,能够获取较准确的焊缝位置信息,为焊缝跟踪控制提供重要基础.Abstract: Magneto-optical imaging method was used to detect the position of micro butt joint, which is non-grooved and almost indistinguishable by naked eyes. The problem of interference in weld magneto-optical images was solved by using the fractal dimension method. Magneto-optical images were processed based on relative information in a large field of vision, which can avoid the influence of tiny detail disturbance among images on measurement accuracy of weld position. In comparison of conventional image processing method, the fractal dimension method is more capable in anti-interference. The weld magnetooptical images were denoised and divided into blocks, and then the fractal dimension of each image block was calculated. An appropriate threshold was selected to segment the images, and the weld center position can be extracted accurately. Experimental results show that the weld edge region characteristics can be accurately extracted and the weld position can be detected by using fractal dimension method, providing an important basis for seam tracking.