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Radiographic film system classification and noise characterisation by a camera-based digitisation procedure

机译:基于相机的数字化过程的射线照相膜系统分类和噪声特征

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摘要

Extracting statistical characteristics from radiographic films is vital for film system classification and contrast sensitivity evaluation and serves as a basis for film noise simulation. A new method for digitising radiographic films in order to extract these characteristics is presented. The method consists of a camera-based setup and image processing procedure to digitise films. Correct optical density values and granularity can be extracted from the digitised images, which are equal to results obtained by standardised measurement procedures. Specific statistical characteristics of film noise are theoretically derived and subsequently verified by the obtained data, including characteristics such as Gaussianity and spatial spectral characteristics of the optical density fluctuations. It is shown that the presented method correctly measures the granularity of film noise and can therefore replace time-consuming microdensitometer measurements traditionally required for film system classifications. Additionally, the inherent unsharpness of film systems was investigated and compared with literature data. This comparison serves as another validation approach of the presented method.
机译:从射线照相膜中提取统计特征对于薄膜系统分类和对比灵敏度评估至关重要,并且作为胶片噪声模拟的基础。提出了一种数字化放射线膜的新方法,以提取这些特征。该方法包括基于相机的设置和图像处理过程来数字化电影。可以从数字化图像中提取正确的光密度值和粒度,这等于通过标准化测量程序获得的结果。理论上衍生膜噪声的具体统​​计特征,随后通过所获得的数据验证,包括光学密度波动的高斯度和空间光谱特性等特征。结果表明,所提出的方法正确地测量薄膜噪声的粒度,因此可以更换传统上拍摄薄膜系统分类所需的耗时的微调计测量。此外,研究了薄膜系统的固有的未分布性,并与文献数据进行了比较。该比较用作呈现方法的另一种验证方法。

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