Paper
18 August 2011 Fabric defects identification based on on-line 3D measurement
Limei Song, Hongwei An, Xiaoxiao Dong, Chunbo Zhang
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Abstract
This paper using on-line identification of three dimensions to solve some difficult problems of two dimensional defects identification. Different defects have different 3D structural features, thus to identify and classify defects based on 3D testing data. Compared with fabric defects processed by two-dimensional image, 3D identification can more exclude cloth wrinkles and the flying thick silk floss. So the 3D identification is of high accuracy and reliability to identify fabric defects.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Limei Song, Hongwei An, Xiaoxiao Dong, and Chunbo Zhang "Fabric defects identification based on on-line 3D measurement", Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 81940E (18 August 2011); https://doi.org/10.1117/12.896973
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KEYWORDS
3D image processing

3D metrology

Image processing

Defect detection

Neural networks

Reliability

3D imaging standards

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