Automatic Defect Extraction and Segmentation in Welding Seam based on X-ray Images

摘要：

In light of the characteristic of thin-wall weld joint in X-ray image, Flaw-edge extraction algorithm and image enhancement algorithm which is based on mathematical morphology are proposed in the study of flaw extraction technique. Therefore, the area of flaw and background can be removed successfully. On this basis, there are two algorithms to identify different flaw types: one is that spatial domain transform to extract flaw edge for clack, the other one is mathematical morphology which is combined with iteration threshold to extract flaw edge for pore; Experimental results show that both of algorithms can implement flaw extraction and segmentation automatically, which is lay a good foundation for flaw feature parameter extraction and recognition.

关键词： X-ray detection mathematical morphology iterative threshold image segmentation

作者: WANG Ming-quan WANG Yu

作者单位: The Ministry Education Key Lab for Instrumentation Science and Dynamic Test, North University of China, Taiyuan 030051,China

会议类型: 国际会议

会议名称: 2011 3nd International Conference on Mechanical and Electronics Engineering(2011年第三届机械与电子工程国际会议 ICMEE2011)

会议地点: 合肥

会议语种:英文

页码: 2558-2562

在线出版日期: 2011-09-23（万方平台首次上网日期，不代表论文的发表时间）