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基于简单射线散射模型的X射线图像增强算法

A X-Ray Image Enhancement Algorithm Based on a Simple Radiographic Scattering Model

  • 摘要: 在传统的射线成像技术中,由于物体本身的结构与散射的X射线叠加,所得图像的可见度通常会受到限制.针对此问题,提出一种基于简单散射模型的图像增强算法,可以提高单一X射线图像的可见度.首先,根据简单散射模型复原X射线图像,在复原过程中加入了新的中值算子,可以有效抑制射线图像中的脉冲噪声成分;同时,对细化之前的透射率图像应用了导向滤波,使灰度值跳跃的边缘部分的复原效果得到了明显改善,并使光晕伪影现象最小化;最后使用一种灰度优化的方法对复原图像进行后处理,在提高对比度的同时保留了图像中的小细节.实验结果证明了该算法对于低对比度、低亮度射线图像的可行性,增强后的图像中被检测物体的结构更加清晰,大大提高了射线图像的可见度.

     

    Abstract: In conventional radiography imaging, the visibility is often limited due to the superimposition of the structure of the object and scattered X-rays. As to this problem, an image enhancement algorithm based on a simple radiography scattering model improves the visibility of a single X-ray image. Firstly, the X-ray image was restored according to the simple radiography scattering model. A new median filter was added in the restoration process, which can effectively suppress the pulse noise component in the X-ray image. At the same time, the guided filter was applied to the transmission image before refining, and the effect of the edge part where the gray value jumps was improved, and the halo artifact was minimized. Finally, The restored image was post-processed by a gray optimization method, which conserves the small details of the image and improves the contrast. The experimental results show that the proposed algorithm is effective for low contrast and low brightness X-ray images. And the structure of the detected casting is clearer in the enhanced image, thus the visibility of X-ray images was improved greatly.

     

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