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

机译:通过基于照相机的数字化程序对射线胶片系统进行分类和噪声表征

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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:从射线照相胶片中提取统计特征对于胶片系统的分类和对比度灵敏度评估至关重要,并且是胶片噪声模拟的基础。提出了一种数字化射线照相胶片以提取这些特征的新方法。该方法包括基于相机的设置和图像处理过程以数字化胶片。可以从数字化图像中提取正确的光密度值和粒度,这与通过标准化测量程序获得的结果相同。从理论上推导出膜噪声的特定统计特性,然后通过所获得的数据进行验证,包括高斯性和光密度波动的空间光谱特性等特性。结果表明,所提出的方法可以正确地测量胶片噪声的粒度,因此可以代替传统的胶片系统分类所需的耗时的微密度计测量。此外,还研究了胶片系统固有的不清晰度,并将其与文献数据进行了比较。该比较用作所提出方法的另一种验证方法。

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