基于X射线数字化图像处理的双面焊焊缝缺陷检测

对双面焊焊缝的缺陷自动检测,提出了对焊缝重叠区边缘区与非边缘区分别进行处理、非细长缺陷与细长缺陷分别进行处理的思路.在逐列灰度波形分析检出焊缝外边缘和两焊缝重叠区边缘的基础上,对于非细长缺陷,采用大模版中值与均值滤波相结合模拟背景,然后对消除背景后图像采用分区域阈值检出焊缝缺陷,对于细长缺陷,提出了基于逐列自适应二值化和改进霍夫变换的缺陷分割算法.结果表明,所提出的方法能够在有效地避免两焊缝重叠区边缘处误检的同时,检出微弱线缺陷.

Weld defect detection of double sides weld based on X-ray digitized image

The automatic detection of weld defects based on image processing of X-ray digitized film is important in the engineering field.Ideas of respectively processing the weld edge area and the other area of weld and respectively processing the slim line defects and the other defects were proposed for automatic detection of the double sides weld defects.The outer edges and the edges of the overlapped area of double sides weld were segmented by grey waveform analysis with column by column.And then the large templates of median filter and mean filter were combined to simulate the weld background,and the weld defects were detected by segment threshold after the background being subtracted.The algorithms of adaptive image binarization with column by column and modified Hough transform were proposed to detect the slim line defects.The result shows that the proposed algorithms avoid false alarms on the edges of the overlapped area for the double sides weld and weak line defects are detected effectively.