Radiographic film system classification and noise characterisation by a camera-based digitisation procedure. (April 2020)
- Record Type:
- Journal Article
- Title:
- Radiographic film system classification and noise characterisation by a camera-based digitisation procedure. (April 2020)
- Main Title:
- Radiographic film system classification and noise characterisation by a camera-based digitisation procedure
- Authors:
- Eckel, Sebastian
Zscherpel, Uwe
Huthwaite, Peter
Paul, Nicolas
Schumm, Andreas - Abstract:
- Abstract: 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. Highlights: A new method for digitisation of radiographic films is presented. Film noise characteristics are investigated by means of the new procedure. The digitisation method replaces time-consuming microdensitometer measurements. It provides an alternative method for film systemAbstract: 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. Highlights: A new method for digitisation of radiographic films is presented. Film noise characteristics are investigated by means of the new procedure. The digitisation method replaces time-consuming microdensitometer measurements. It provides an alternative method for film system characterisation. … (more)
- Is Part Of:
- NDT & E international. Volume 111(2020)
- Journal:
- NDT & E international
- Issue:
- Volume 111(2020)
- Issue Display:
- Volume 111, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 111
- Issue:
- 2020
- Issue Sort Value:
- 2020-0111-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04
- Subjects:
- Radiography -- Image processing -- Film noise -- Film system classification -- Digitisation
Nondestructive testing -- Periodicals
Contrôle non destructif -- Périodiques
Electronic journals
620.1127 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09638695 ↗
http://www.elsevier.com/journals ↗
http://www.elsevier.com/homepage/elecserv.htt ↗ - DOI:
- 10.1016/j.ndteint.2020.102241 ↗
- Languages:
- English
- ISSNs:
- 0963-8695
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6067.859000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13417.xml