Research of the Defects in Anesthetic Masks
Alternative metrics PlumXhttp://hdl.handle.net/11012/51904
MetadataShow full item record
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 %.
Document typePeer reviewed
SourceRadioengineering. 2015 vol. 24, č. 4, s. 1033-1043. ISSN 1210-2512
- 2015/4