摘要
为了克服因为蜂窝结构粘结层之间阻抗差异大,导致超声波能量严重衰减,从而采用高频率聚焦探头对其进行超声C扫描成像,得到C扫描图像;分析了C扫描图像中缺陷边缘的模糊现象,认为可能是聚焦探头焦点直径的存在,使得结合界面中缺陷边缘两侧反射声波能量发生变化所引起的;应用VC编程软件实现中值滤波和Prewitt算子等,对图像进行边缘检测;结果表明,该方法可用于对C扫描图像的降噪和边缘检测,较有效、准确且连续性好。
In order to overcome the great difference of impedance between adhesive layers of honeycomb structure which leads to Ultrasonic energy serious decay, the high-frequency focused transducer was used to get C-scan images. It is analyzed that the reason of the blur of defect edge in C-scan image might be the physical limit of focused transducer with circular focus that causes the energy variation of reflected wave near the defect boundary and the energy distribution. Then Median filter and Prewitt algorithm and so on were programmed based on VC＋＋6.0 to realize the defect edge detection and noise removing in C-scan images .It is showed that the noise could be reduced rapidly and the defect edge can be detected ,more accurately and continuously.
出处
《计算机测量与控制》
CSCD
北大核心
2009年第5期930-932,共3页
Computer Measurement &Control
