White trash detection of cotton lint with ultraviolet-induced fluorescence imaging method

Fei Zhou; Tianhuai Ding

doi:10.1117/12.885504

31 December 2010 White trash detection of cotton lint with ultraviolet-induced fluorescence imaging method

Fei Zhou, Tianhuai Ding

Proceedings Volume 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation; 75443T (2010) https://doi.org/10.1117/12.885504
Event: Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 2010, Hangzhou, China

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.

Citation Download Citation

Fei Zhou and Tianhuai Ding "White trash detection of cotton lint with ultraviolet-induced fluorescence imaging method", Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 75443T (31 December 2010); https://doi.org/10.1117/12.885504

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available