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>UNE standards>UNE EN ISO 14096-1:2020 - Non-destructive testing - Qualification of radiographic film digitisation systems - Part 1: Definitions, quantitative measurements of image quality parameters, standard reference film and qualitative control (ISO 14096-1:2005)
in stockReleased: 2020-07-01
UNE EN ISO 14096-1:2020 - Non-destructive testing - Qualification of radiographic film digitisation systems - Part 1: Definitions, quantitative measurements of image quality parameters, standard reference film and qualitative control (ISO 14096-1:2005)

UNE EN ISO 14096-1:2020

Non-destructive testing - Qualification of radiographic film digitisation systems - Part 1: Definitions, quantitative measurements of image quality parameters, standard reference film and qualitative control (ISO 14096-1:2005)

Ensayos no destructivos. Cualificación de los sistemas de digitalización de película radiográfica. Parte 1: Definiciones, medidas cuantitativas de los parámetros de calidad de la imagen, película de referencia estándar y control cualitativo. (ISO 14096-1:2005).

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Standard number:UNE EN ISO 14096-1:2020
Pages:21
Released:2020-07-01
Status:Standard
Pages (Spanish):20
DESCRIPTION

UNE EN ISO 14096-1:2020

This European Standard specifies procedures for the evaluation of basic performance parameters of the radiographic film digitisation process such as spatial resolution and spatial linearity, density range, density contrast sensitivity and characteristic transfer curve. They can be integrated into the system software and together with a standard reference film (as described in clause 5) used for quality control of the digitisation process. This reference film provides a series of test targets for performance evaluation. The test targets are suitable for evaluating a digitisation system with a spatial resolution down to 25 ¼m, a density contrast sensitivity down to 0,02 optical density, a density range of 0,5 to 4,5 and a film size capacity of (350 x 430) mm². This standard does not address signal processing and display of the digitised data.