BGA void detection in X-ray images based on a new blob detector

摘要：

Automatic Ball Grid Array (BGA) void detection in Xray is essential since voids can degrade the performance of the board and cause failure. In this paper, we propose a new blob detector for automatic detection of BGA voids. The proposed blob detector, which obtains candidate voids by assigning a minimum point for each blob-like region, is based on the average box filter and the image local brightness variation. Owning to the utilization of different sizes of average box filters, the proposed method is able to detect different sizes of voids. Furthermore, since the new blob detector takes advantage of the brightness variation of the local region, it is robust to the image brightness changes and ball component interferences. Experimental results show that the proposed method outperforms the other method, which detects the voids by edge detection.

关键词： blob detector BGA void deletion X-ray defect detection

作者: Shao Hu Peng Hyun Do Nam

作者单位: Department of electronics and electronical engineering,Dankook University, Yongin, South Korea, 448-701

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1878-1881

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）