SR-CT filter-back-projection algorithm and application in detection of microstructure evolution
SR-CT filter-back-projection algorithm and application in detection of microstructure evolution
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DOI：
10.1016/j.proeng.2010.11.010
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Hongyan Qu;F. Xu;Xiaofang Hu;H. Miao;T. Xiao;Zhong-xing Zhang
中科院分区：
文献类型：
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作者：
Hongyan Qu;F. Xu;Xiaofang Hu;H. Miao;T. Xiao;Zhong-xing Zhang
同步辐射x射线计算机断层扫描（SR-CT）实验中发现了噪声。然而，传统的滤波函数（如S-L滤波函数和R-L滤波函数）没有考虑噪声的存在。因此，噪声严重影响重构图像的质量。本文考虑了SR-CT实验的实际情况，采用了一种新的滤波函数。为了验证新滤波函数的优越性，进行了仿真实验。利用图像评价参数对不同滤波函数重建的图像进行比较。得到了陶瓷烧结实验投影的重建图像。结果表明，该滤波函数比传统的滤波函数更适合于实际情况。为了贴近实际情况，对投影中的实验噪声进行了分析。提出了一种将新的滤波函数应用于图像重建的新方法，提高了图像质量，解决了图像质量受噪声影响的问题。因此，该方法可以更好地用于实时显微结构检测。
Noise has been spotted in Synchrotron Radiation X-ray Computed Tomography (SR-CT) experiment; however, traditional filter functions (such as S-L filter function and R-L filter function) do not take the presence of noise into account. Therefore, the quality of reconstructed image is affected by noise seriously. In this paper, actual situation of SR-CT experiment was considered and a new filter function was applied. Simulation experiment was performed in order to verify the advantages of new filter function. The images reconstructed by different filter functions were compared by using image-evaluated parameters. The reconstructed images from ceramic sintering experiment projection were also obtained. The result shows that the new filter function is more suitable than the traditional filter functions in actual situation. To be close to the actual situation, the experiment noise in projections was analyzed. A new method to apply new filter function in reconstruction was presented by which image quality can be improved and the problem that image quality is affected by noise can be relieved. Therefore, this method could be better used in the real-time microstructure detection.