Explicit Image Quality Detection Rules for Functional Safety in Computer Vision

Johann Thor Ingibergsson Mogensen, Dirk Kraft, Ulrik Pagh Schultz

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Abstract

Computer vision has applications in a wide range of areas from surveillance to safety-critical control of autonomous robots. Despite the potentially critical nature of the applications and a continuous progress, the focus on safety in relation to compliance with standards has been limited. As an example, field robots are typically dependent on a reliable perception system to sense and react to a highly dynamic environment. The perception system thus introduces significant complexity into the safety-critical path of the robotic system. This complexity is often argued to increase safety by improving performance; however, the safety claims are not supported by compliance with any standards. In this paper, we present rules that enable low-level detection of quality problems in images and demonstrate their applicability on an agricultural image database. We hypothesise that low-level and primitive image analysis driven by explicit rules facilitates complying with safety standards, which improves the real-world applicability of existing proposed solutions. The rules are simple independent image analysis operations focused on determining the quality and usability of an image.

OriginalsprogEngelsk
TitelProceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
RedaktørerJose Braz, Alain Tremeau, Francisco Imai
Vol/bind6
ForlagInstitute for Systems and Technologies of Information, Control and Communication
Publikationsdato2017
Sider433-444
ISBN (Trykt)978-989-758-227-1
ISBN (Elektronisk)9789897582271
DOI
StatusUdgivet - 2017
Begivenhed12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Porto, Portugal
Varighed: 27. feb. 20171. mar. 2017
Konferencens nummer: 12

Konference

Konference12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Nummer12
Land/OmrådePortugal
ByPorto
Periode27/02/201701/03/2017

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