Abstract

With ever-increasing demands on the security screening procedures, improved detection of items of concern inside the bags and luggage continues to attract considerable interest. In this study dual-energy, X-ray images have been used in combination with Gabor filter noise reduction with a view to improvements in object visualization and automated detection. X-ray images were acquired from representative test items using 20 kV and 140 kV X-rays and Gabor filtering, with an automatic threshold level setting, was applied for image de-noising. The filter was applied in six different amplitudes and directions to obtain a fused image with the background fog removed which yielded higher image quality. Evaluation of the reconstructed images was performed by experienced operators who were able to confirm the achievement of the significant improvement in visualization-confidence of morphology and material differences between the objects. Also, quantitative analysis was applied to the processed fused image and statistically significant differences between low contrast regions of the image associated with powders and fluids with similar densities were detected. The results show that the method can be extended to achieve automated object material and shape recognition as a powerful tool in airport security screening.

中文翻译：

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双能X射线成像与自动阈值Gabor滤波相结合，用于行李筛选应用

摘要

随着对安全检查程序的需求不断增长，对袋子和行李箱内所关注物品的检测的改进继续引起人们的极大兴趣。在这项研究中，双能X射线图像已与Gabor滤波器降噪结合使用，以期改善对象的可视化和自动检测。使用20 kV和140 kV X射线从代表性的测试项目中获取X射线图像，并将具有自动阈值设置的Gabor滤波应用于图像降噪。在六个不同的振幅和方向上应用滤镜以获得去除背景雾的融合图像，从而产生更高的图像质量。由经验丰富的操作员对重建的图像进行评估，他们能够确认物体之间的形态学和材料差异的可视化信心显着提高。同样，对处理后的融合图像进行定量分析，并检测到与粉末和密度相似的液体相关的图像低对比度区域之间的统计学显着差异。结果表明，该方法可扩展为实现自动物体材料和形状识别，作为机场安全检查的有力工具。将定量分析应用于处理后的融合图像，并检测到与密度相似的粉末和液体相关的图像低对比度区域之间的统计学显着差异。结果表明，该方法可扩展为实现自动物体材料和形状识别，作为机场安全检查的强大工具。将定量分析应用于处理后的融合图像，并检测到与密度相似的粉末和液体相关的图像低对比度区域之间的统计学显着差异。结果表明，该方法可扩展为实现自动物体材料和形状识别，作为机场安全检查的强大工具。