违禁品X射线图像反锐化双掩模图像增强方法研究

Research on Unsharp Double-masking Image Enhancement Method of Contraband X-ray Image

针对在使用X射线成像仪检测违禁品过程中,检测信号的转换和传输易导致违禁品图像对比度低、边缘模糊等问题,提出一种图像预处理和反锐化双掩模增强算法来提高违禁品图像效果。图像预处理用于去除图像成像过程中产生的噪声和边角阴影问题,试验结果表明,提出的图像预处理算法对图像的边角问题和夹杂噪声的去除效果明显。进一步提出了一种反锐化双掩模图像增强方法,对图像中不同尺度图像细节信息进行叠加增强。试验结果表明,该增强算法对违禁品图像对比度和边缘细节的增强效果明显,可有效提高违禁品的检测精确度和效率。通过改变管电压大小改变图像的亮度,验证了图像预处理和图像增强方法均有较好的鲁棒性。

In the process of using an X-ray imager to detect contraband, the conversion, and transmission of detection signal are easy to lead to the problems of low contrast and blurred edges of contraband images. In this paper, a double mask image enhancement algorithm based on image preprocessing and resharpening is proposed to improve the quality of X-ray contraband images. Image preprocessing is mainly used to remove the noise and corner shadow in the process of image imaging. The experimental results show that the image preprocessing algorithm proposed in this paper has an obvious effect on the removal of the corner and corner problems and image noise. In this paper, a counter-sharpening double mask image enhancement method is proposed to enhance the image details of different scales. Experimental results show that the anti-sharpening double mask image enhancement algorithm has an obvious enhancement effect on image contrast and edge details of contraband, and can effectively improve the accuracy and efficiency of contraband detection. By changing the tube voltage to change the brightness of the image, the image preprocessing and image enhancement methods are proven to have good robustness.