Filtern
Erscheinungsjahr
- 2012 (13) (entfernen)
Dokumenttyp
- Vortrag (7)
- Beitrag zu einem Tagungsband (3)
- Zeitschriftenartikel (2)
- Posterpräsentation (1)
Schlagworte
- Risk assessment (2)
- Risk definition (2)
- Calibration and fitting methods (1)
- Cluster finding (1)
- Data processing methods (1)
- Digital Image Processing (1)
- Digital filter (1)
- EFNDT Working Group 5 (WG5) (1)
- Filter parameter (1)
- Image filtering (1)
- Pattern recognition (1)
- Public safety and security (1)
- Security (1)
- Unbiased image processing (1)
- Vocabulary standards (1)
Eingeladener Vortrag
- nein (7)
Reducing risks and confining them to an acceptable level can be regarded as an essential commitment of technical applications for safety purposes and the public security measures.
Rating the efficiency of such measures requires an assessment of the risk that is supposed to be reduced. However, approaching this subject means to face a plethora of existing literature and an ongoing discussion if and how this can be achieved. On one hand, it remains a rather uncertain estimate particularly if it comes to rare interrupting events. On the other hand, making a decision responsibly requires a certain rational base. Several approaches exist for assessing risks, from verbal to quantitative, depending on the individual case. The frequently quoted Delphi technique represents the verbal one, others such as the Bayesian statistics a quantitative one or the consequence/probability matrix in-between.
A problem remains with understanding probability. Even if an event is highly unlikely it may happen right now.
Security research and expertise at the BAM Federal Institute for Materials Research and Testing
(2012)
The ultimate purpose of digital image filtering is to support the visual identification of certain features expressed
by characteristic shapes and patterns. Numerous recipes, algorithms and ready made programs exist nowadays
that predominantly have in common that users have to set certain parameters. Particularly if processing is fast
and shows results rather immediately, the choice of parameters may be guided by making the image 'looking
nice'. However, in practical situations most users are not in a mood to 'play around' with a displayed image,
particularly if they are in a stressy situation as it may encountered in security applications. The requirements for
the application of digital image processing under such circumstances will be discussed with an example of automatic
filtering without manual parameter settings that even entails the advantage of delivering unbiased results.