Research of the Defects in Anesthetic Masks
| dc.contributor.author | Laucka, Andrius | |
| dc.contributor.author | Andriukaitis, Darius | |
| dc.coverage.issue | 4 | cs |
| dc.coverage.volume | 24 | cs |
| dc.date.accessioned | 2016-01-06T08:08:12Z | |
| dc.date.available | 2016-01-06T08:08:12Z | |
| dc.date.issued | 2015-12 | cs |
| dc.description.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 %. | en |
| dc.format | text | cs |
| dc.format.extent | 1033-1043 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Radioengineering. 2015 vol. 24, č. 4, s. 1033-1043. ISSN 1210-2512 | cs |
| dc.identifier.doi | 10.13164/re.2015.1033 | en |
| dc.identifier.issn | 1210-2512 | |
| dc.identifier.uri | http://hdl.handle.net/11012/51904 | |
| dc.language.iso | en | cs |
| dc.publisher | Společnost pro radioelektronické inženýrství | cs |
| dc.relation.ispartof | Radioengineering | cs |
| dc.relation.uri | http://www.radioeng.cz/fulltexts/2015/15_04_1033_1043.pdf | cs |
| dc.rights | Creative Commons Attribution 3.0 Unported License | en |
| dc.rights.access | openAccess | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
| dc.subject | Image processing | en |
| dc.subject | computer vision | en |
| dc.subject | image segmentation | en |
| dc.subject | smoothing methods | en |
| dc.title | Research of the Defects in Anesthetic Masks | en |
| dc.type.driver | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |
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