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首页> 外文期刊>Physica Scripta: An International Journal for Experimental and Theoretical Physics >Comparison of four iterative methods for improving the contrast of the radiography images
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Comparison of four iterative methods for improving the contrast of the radiography images

机译：四种迭代方法改善造影图像对比度的比较

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摘要

Recently, radiography image elaboration using different image processing methods has been introduced as an alternative to enhance the radiographs. The ability of improving the quality of an image depends on the scattered x-ray and the acquisition data by electronic system in digital radiography (DR) (RT). Iterative methods, well known in general sparse signal reconstruction, can be suited for the radiography images. In this research, the DR image is improved by minimizing an objective function using the fast iterative shrinkage-thresholding algorithm (FISTA), Monotone FISTA (MFISTA), over relaxation MFISTA (OMFISTA) and converged FISTA, where the solution sparsity may be adjusted as desired. The paper surveys four wellknown methods for sparse process, and assesses their optimization parameters with the goal of obtaining the best algorithm for industrial radiography images. First, the radiographs from the welded objects were provided and four iterative methods were implemented to the radiographs for enhancing the contrast. Then reconstructed images were assessed on the basis of their quality. The results show that the reconstructed images have better contrast than the original radiography and the OMFISTA method has a lower runtime compared to others. Also, the results demonstrate the viability and efficiency of the four proposed algorithms on radiography image deblurring problems without any information about the noise of radiography system.
机译：最近，已经引入了使用不同图像处理方法的放射线照相图像精制作为增强射线照相的替代方案。提高图像质量的能力取决于数字射线照相（DR）（RT）的电子系统的散射X射线和采集数据。迭代方法，众所周知的一般稀疏信号重建，可以适用于射线照相图像。在该研究中，通过使用快速迭代收缩阈值算法（FISTA），单调FISTA（MFISTA），放松MFISTA（omfista）和融合的Fista来改善DR图像，可以改善溶液稀疏可以调节溶液稀疏期望。该纸张调查四种井指的稀疏过程方法，并评估它们的优化参数，以获得最佳的工业造影图像算法。首先，提供来自焊接物体的射线照片，并将四种迭代方法实施到用于增强对比度的射线照片。然后根据其质量评估重建的图像。结果表明，重建的图像与原始射线照相具有更好的对比度，并且omfista方法与他人相比具有较低的运行时间。此外，结果证明了在没有关于放射线照相系统噪声的任何信息的情况下对射线照相图像去纹理问题的四个提出算法的可行性和效率。

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