Research of the Defects in Anesthetic Masks
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Date
2015-12
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
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Abstract
The article concerns the computer-assisted vision system created for the detection of the disposable anesthetic respiratory masks. This article provides the classification of defects which may be common to both rubber and plastic parts of the masks. The defects were divided into groups and the nature of them was investigated. The algorithms and methods for the detection of defective products were based on the segmentation of image and the detection of uneven contours. The experiment results are presented in this work. With reference to the results, the most effective masks’ filters were identified. The achieved specificity of the computer vision system is 100 % and the sensitivity is 100 %.
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Citation
Radioengineering. 2015 vol. 24, č. 4, s. 1033-1043. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2015/15_04_1033_1043.pdf
http://www.radioeng.cz/fulltexts/2015/15_04_1033_1043.pdf
Document type
Peer-reviewed
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Published version
Date of access to the full text
Language of document
en