基于分区域自适应中值滤波的X射线图像缺陷提取

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

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。

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 is used, in which the length of filter can be adjusted automatically with the size of defects being extracted. Defects in the inspected workpiece can be extracted by this method. The experimental results indicate that defect distortion can be avoided.