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为了采用图像处理与模式识别的方法对铝合金的焊接质量进行智能控制 ,必须获取铝合金焊接熔池的清晰图像 ,然后提取焊接熔池的信息 .在对铝合金焊接光谱分析的基础上 ,以焊接电弧光中的连续光谱作为光源 ,采用宽带滤波方法设计的全新的光学图像传感器 ,利用普通工业CCD摄像机获得了画面清晰、质量稳定的铝合金焊接熔池区域图像 .针对所获得的铝合金焊接熔池图像中干扰分配的不均衡性 ,采用新型分区滤波图像预处理算法 ,得到了铝合金焊接熔池的理想特征参数 .该算法具有抗干扰强、速度快的特点 ,对提高铝合金的焊接质量具有重要意义
In order to intelligently control the welding quality of aluminum alloy by image processing and pattern recognition, it is necessary to acquire a clear image of the weld pool of aluminum alloy and then to extract the information of the weld pool. Based on the spectral analysis of aluminum alloy welding, Welding arc light continuous spectrum as a light source, the use of broadband filtering method designed a new optical image sensor, the use of ordinary industrial CCD camera to obtain a clear picture, quality and stability of the aluminum welding pool area image for the obtained aluminum alloy welding The imbalance of interference distribution in the image of molten pool was studied by using the new partition filtering image preprocessing algorithm and the ideal characteristic parameters of aluminum alloy weld pool were obtained.The algorithm has the characteristics of strong anti-interference and high speed, Quality is of great importance