基于频率调谐的焊缝红外图像显著性检测算法

Saliency detection algorithm of weld infrared image based on frequency tuning

针对熔化极气体保护焊建立焊缝红外在线监控系统,提出一种基于频域的红外焊缝显著性实时检测算法,从滤波处理、颜色模型和背景抑制3个方面对频率调谐算法(FT)进行改进,从而获得更优的红外焊缝显著图。把改进的FT算法分别和ITTI,GBVS,SR,FT,AC和HC等典型显著性检测算法进行对比分析。结果表明,改进的FT算法的平均运行时间为0.075 s,并且不需要进行预处理,有效地保证了检测过程的实时性;分别采用各算法对焊缝红外图像进行处理,结果表明,改进的FT算法有效抑制了红外焊缝显著图中的背景、噪声和弧光等干扰像素,也排除了热影响区的干扰,同时显著图中目标焊缝的轮廓清晰,显著性增强,有利于焊缝特征的提取。

Weld infrared on-line monitoring system was established for gas metal arc welding.A real-time detection algorithm of infrared weld saliency based on frequency domain was proposed.The frequency tuned(FT)algorithm was improved from three aspects of filter processing,color model and background suppression,so as to obtain better infrared weld saliency map.The improved FT algorithm was compared and analyzed with some typical saliency detection algorithms such as ITTI,GBVS,SR,FT,AC and HC.The results showed that the average running time of the improved FT algorithm was 0.075 s and no preprocessing was required,which effectively guaranteed the real-time performance of the detection process.Each algorithm was used to process the infrared image of the weld.The results showed that the improved FT algorithm could effectively suppress interfering pixels,such as background,noise and arc in the saliency map of the infrared weld,and also eliminate the interference of the heat affected zone.At the same time,the outline of the target weld in the saliency map was clear and the saliency was enhanced,which was beneficial to the feature extraction of the weld.