湖南大学学报（自然科学版）2017，Vol.44Issue(4)：131-138,8.DOI:10.16339/j.cnki.hdxbzkb.2017.04.018
厚钢管X射线图像中焊缝区域的检测
Detection of Weld Regions in X-ray Images of Thick Steel Pipes
摘要
Abstract
Since traditional detection algorithms of welding seam area have difficulties in accurately extracting the fuzzy and low-contrast welding areas in the X-ray images of thick steel pipes,this paper proposed a novel robust detection method of weld seam region based on the robust PCA model.The proposed technique can overcome the shortcomings of the traditional methods,and can accurately extract the weld regions.Firstly,a sequence of X-ray images were collected,and their spatial alignment and brightness normalization were carried out.Then,a series of background images were obtained,and these preprocessed images and a test X-ray image were combined to form an observation matrix.The robust PCA was then used to decompose the observation matrix into a low-rank and sparse image.As the uneven intensity and noise are greatly eliminated in the test images,the weld region of the test image is highlighted in the corresponding sparse image,and can be well segmented by a global threshold.The test results show that the uneven brightness distribution and noise from X-ray images of thick steel pipes are largely eliminated,and the weld seam edges and low contrast areas are also enhanced.Compared with the traditional welding area detection methods,the proposed algorithm can better detect the fuzzy and low-contrast welding regions with a higher detection sensitivity (0.952) and accuracy (0.989).关键词
厚钢管/X-ray图像/焊缝区域/边缘检测/图像预处理Key words
thick steel pipe/X-ray images/weld regions/edge detection/image pretreatment分类
信息技术与安全科学引用本文复制引用
陈本智,方志宏,夏勇,张灵,兰守忍,王利生..厚钢管X射线图像中焊缝区域的检测[J].湖南大学学报（自然科学版）,2017,44(4):131-138,8.基金项目
国家自然科学基金资助项目(61375020),National Natural Science Foundation of China (61375020) （61375020）
国家“973”计划资助项目(2013CB329401),973 Program of China (2013CB329401) （2013CB329401）
