基于人眼视觉特性的焊缝X射线图像辅助判读系统

Computer Aided System for Image Evaluation of X-Ray Welding Line Based on Human Eye

摘要: 目前, X射线焊缝检测主要采用人工判读X射线胶片的方式, 可靠度差, 效率低。介绍了一种焊缝X射线图像辅助判读系统, 它采用基于人眼视觉特性的图像处理算法, 对数字化后的胶片图像进行处理, 增强其视觉效果, 帮助评片, 同时还增加了图像数据库存储检索功能。相关试验结果表明, 该方法对难以识别的焊缝图像有较好效果, 有助于焊缝缺陷的检测。

Abstract: A computer aided evaluation system was presented, which improved the image quality for the detection of defects in X-ray images of welding seams. Image enhance algorithm based on human eye properties and a data base were applied to the system. The results of our experiments indicated that this system was helpful for the detection of defects in welding seams.