摘要
针对X射线线阵探测器实时成像的焊缝图像,提出了降噪处理、焊缝图像分割及缺陷检测的方法。通过自适应中值滤波方法对焊缝图像进行滤波降噪,利用类间、类内方差比分割法和数学形态学方法进行焊缝图像分割,对焊缝部分应用高频加强变换提取焊接缺陷。结果表明,采用自适应中值滤波能够有效去除噪声的同时保留焊缝和缺陷的边缘细节;类间、类内方差比分割方法与数学形态学方法并用能准确地将图像分割为焊缝与母材区域;高频加强变换能使焊缝中心部位灰度变化突显进而实现缺陷检测。
A method of the noise reduction,region segmentation and welding defects extraction was proposed accerding to weld image of X-ray linear array detector real-time scanning.The adaptive median filtering was applied to reduce noise,and the weld region was intersected by the variance ratio of interclass and intraclass segmentation with mathematical morphology method,and then the welding defects were extracted by high frequency enhancement.Simulation results show that the adaptive median filter can effectively remove noise while the weld and defects edge detail was reserved.By variance ratio of interclass and intraclass together with mathematical morphology method,the weld metal region can be distinguished accurately from the base metal;the grey changes in weld center can be extruded with the high frequency enhancement filtering,consequently the defects can be detected.
出处
《焊接学报》
EI
CAS
CSCD
北大核心
2007年第6期81-84,共4页
Transactions of The China Welding Institution
关键词
X射线实时成像
线阵探测器
图像处理
焊接缺陷检测
X-ray real-time imaging
linear array detector
image processing
weld defects detection
