Paper
21 February 2014 Methods of foreign fiber detecting based on PCA analyzing of infrared spectral images
LiXun Tian, WeiSen Fu, JieYu Liu, HongBo Zhang, Jin Pan, YaPeng Wang, Fei Tong
Author Affiliations +
Abstract
A set of near infrared high resolution spectral imaging system is set up, the infrared absorption properties of raw cotton and colorless foreign are analyzed through the system, and scheme of polypropylene fiber detection based on the near infrared spectral image is proposed; On this basis, reduce dimensions the spectral images through the principal component analysis, further improve the efficiency of colorless foreign detection. The experimental results show that the spectral images after reducing dimensions can be used to detect colorless or light color raw cotton fiber effectively.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
LiXun Tian, WeiSen Fu, JieYu Liu, HongBo Zhang, Jin Pan, YaPeng Wang, and Fei Tong "Methods of foreign fiber detecting based on PCA analyzing of infrared spectral images", Proc. SPIE 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013, 914213 (21 February 2014); https://doi.org/10.1117/12.2057524
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KEYWORDS
Principal component analysis

Infrared radiation

Infrared imaging

Imaging systems

Cameras

Infrared detectors

Imaging spectroscopy

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