航空学报 > 2004, Vol. 25 Issue (4): 420-424

基于分区域自适应中值滤波的X射线图像缺陷提取

周正干, 赵胜, 安振刚   

  1. 北京航空航天大学机械工程及自动化学院 北京 100083
  • 收稿日期:2003-06-05 修回日期:2003-10-13 出版日期:2004-08-25 发布日期:2004-08-25

Defect Extraction of X-ray Images Based on Subarea and Self-adaptive Median Filtering

ZHOU Zheng-gan, ZHAO Sheng, AN Zhen-gang   

  1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2003-06-05 Revised:2003-10-13 Online:2004-08-25 Published:2004-08-25

摘要: 为了实现X射线数字图像的计算机智能分析和处理,研究了射线数字图像缺陷自动提取技术。以航空发动机叶片为研究对象,介绍了基于分区域自适应中值滤波的图像处理方法。根据图像不同区域内灰度变化特点进行不同方向的基于扫描线的一维中值滤波,并使滤波器的长度能随着缺陷尺寸自动调整,快速、准确地提取出被测试件的缺陷。试验结果表明,运用该方法进行X射线数字图像的缺陷提取,能有效避免缺陷的变形和失真,为缺陷的自动识别打下了良好的基础。

关键词: 无损检测, 缺陷提取, 自适应滤波, X射线数字照相, 图像处理

Abstract: To realize X-ray digital image computerized analysis and processing, a defect-extraction automation technique is studied. An image processing method based on subarea and self-adaptive median filtering is introduced with the evaluation of turbine blade. In the light of gray level variety in the different subareas of X-ray digital image, a kind of scan-direction-based one-dimensional median filtering method, in which the length of filter can be adjusted automatically with the size of defects being extracted, is used. Defects in the inspected workpiece can be extracted rapidly and accurately with this method. The experimental results indicate that, with this image processing method, defect distortion can be avoided, which will lay a good foundation for defect-recognition automation in industrial digital radiography.

Key words: nondestructive testing, defect extraction, self-adaptive filtering, digital radiography, image processing