图像处理技术在超声相控阵检测中的应用

Application of image processing in the ultrasonic phased array inspection

近年来,现代工业诊断与检测技术正在向信息化和可视化方向高速发展,数字化超声相控阵检测技术已逐渐成为国内外无损检测研究的热点。以火车车轮缺陷超声相控阵检测为例,通过各方面调研,从超声相控阵基本原理和图形扫描显示出发,运用图像特征提取技术进行缺陷识别。结果表明,结合数字图像处理技术后,超声相控阵系统克服车轮固有缺陷的干扰,准确地提取出车轮真实缺陷,从而提高了超声相控阵系统的探伤能力,同时也对自动探伤的研究具有一定启示作用。

In recent years,as modern industry diagnostic and testing technology is experiencing fast development toward information and visualization,digital array phased ultrasonic testing technology has been highly recognized in domestic and foreign NDT research domain.This paper takes the case of ultrasonic phased array flaw detection on rain wheel,based on broad investigation and research,according to the basic principles of ultrasonic phased array and scanning imaging,the defects are recognised with image feature extraction technique.The result shows that the ultrasonic phased array system combined with digital image processing technology overcomes the disturbance from the inherent defects of the wheel,and recognizes accurately the correct wheel defect.So image processing technology not only improves the flaw detection capabilities of the ultrasound phased array system,but also provides some inspiration on the research of automatic inspection.