Publication | Open Access
Feature extraction of the wear label of carpets by using a novel 3D scanner
10
Citations
15
References
2010
Year
Geometric Modeling3D Computer VisionMachine VisionImage AnalysisWear LabelMetris ScannerPattern RecognitionEngineeringNatural SciencesFeature ExtractionWorn CarpetsNovel 3DTexture Analysis3D ScanningOptical Image RecognitionComputational GeometryAutomated InspectionComputer Vision
In this paper we present a novel 3D scanner to capture the texture characteristics of worn carpets into images of the depth. We first compare our proposed scanner to a Metris scanner previously attempted for this application. Then, we scan the surface of samples from the standard EN1471 using our proposed scanner. We found that our proposed scanner offers additional benefits because it has been specifically designed for carpets, performing faster, cheaper, better and also a lot more suitable for darker carpets. The results of this approach give optimistic expectations in the automation of the label assessment dealing with multiple types of carpets.
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