@inproceedings{854654ced6c4491db7d3eba0e729e6f3,
title = "Foreign fiber detecting system based on multispectral technique",
abstract = "This paper presents a foreign fiber detecting system based on multi-spectral technique. The absorption rate and the reflectivity of foreign fibers differently under different wavelengths of light so that the characteristics of the image has difference in the different light irradiation. Contrast pyramid image fusion algorithm and adaptive enhancement is improved to extracted the foreign fiber from the cotton background. The experimental results show that the single light source can detect 6 kinds of foreign fiber in cotton and multi-spectral detection can detect eight kinds.",
keywords = "foreign fiber, image processing, multi-spectral, reflection imaging",
author = "Qi Li and Shaokun Han and Ping Wang and Liang Wang and Wenze Xia",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT 2015 SPIE.; 2015 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, OIT 2015 ; Conference date: 17-05-2015 Through 19-05-2015",
year = "2015",
doi = "10.1117/12.2193132",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Kimio Tatsuno and Xiaodi Tan and Yongtian Wang",
booktitle = "2015 International Conference on Optical Instruments and Technology",
address = "United States",
}