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Proceedings Paper

White trash detection of cotton lint with ultraviolet-induced fluorescence imaging method
Author(s): Fei Zhou; Tianhuai Ding
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Paper Abstract

White cotton lint trash can not be effectively detected by white light imaging method. It becomes a serious problem in textile industry. Ultraviolet (UV)-induced fluorescence imaging method is based on the principle that different materials have different spectral excitation and emission characteristics. The fluorescence spectroscopy experiment gave reliable evidence that most white trash had much stronger fluorescent effect than that of lint. In order to simultaneously discriminate several kinds of white lint trash, an Optimal Wavelength Selected Model for describing cotton/trash discrimination was developed. It was determined that 342-388 nm was the optimal detection waveband for white trash detection. Imaging results and analysis clearly showed that for both uncovered and covered situation, the gray differences between white trash and lint were significantly improved when illuminated by a type of UV light. It was concluded that UV-induced fluorescence imaging method is a feasible way to detect most white trash. This method can also be used in white trash detection in seed cotton, wool, tealeaf, and tobacco leaf.

Paper Details

Date Published: 31 December 2010
PDF: 8 pages
Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 75443T (31 December 2010); doi: 10.1117/12.885504
Show Author Affiliations
Fei Zhou, Tsinghua Univ. (China)
Tianhuai Ding, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 7544:
Sixth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Xianfang Wen, Editor(s)

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