焊缝位置识别的图像处理方法设计

在基于视觉的自动焊接中，由于焊缝图像是复杂多变的，要准确得到焊缝位置选择合理高效的处理算法是非常重要的。针对这一问题为焊缝图像提出了一系列处理步骤，它包括中值滤波、自适应阈值二值化、孤点滤波、边缘检测，焊缝位置搜索五步，其中详细叙述了重要的自适应阈值二值化与孤点滤波算法。在每一步处理中都用了四幅完全不同的焊缝图像做了观察和对比，结果显示所选算法产生较好的处理效果。

Image processing method for recognizing position of welding seam

In automated welding process based on vision method, images containing information of welding seam are obtained in series through vision sensor and processed real time to get central position of welding seam. However, because welding seam images are complicated, it is very important to choose suitable and effective processing algorithm in order to get accurately the information. This paper put forward a series of processing steps for welding seam images which include median filtering, creating binary image by adaptive threshold, acnode filtering, and edge detecting , searching central position of welding seam. Creating binary image by adaptive threshold and acnode filtering are focused. In each processing step four different welding seam images are used for observation and comparison. The result shows these processing algorithms arc relatively effective.