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.
Original language | English |
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Title of host publication | 2015 International Conference on Optical Instruments and Technology |
Subtitle of host publication | Optical Systems and Modern Optoelectronic Instruments, OIT 2015 |
Editors | Kimio Tatsuno, Xiaodi Tan, Yongtian Wang |
Publisher | SPIE |
ISBN (Electronic) | 9781628417999 |
DOIs | |
Publication status | Published - 2015 |
Event | 2015 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, OIT 2015 - Beijing, China Duration: 17 May 2015 → 19 May 2015 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 9618 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | 2015 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, OIT 2015 |
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Country/Territory | China |
City | Beijing |
Period | 17/05/15 → 19/05/15 |
Keywords
- foreign fiber
- image processing
- multi-spectral
- reflection imaging
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Li, Q., Han, S., Wang, P., Wang, L., & Xia, W. (2015). Foreign fiber detecting system based on multispectral technique. In K. Tatsuno, X. Tan, & Y. Wang (Eds.), 2015 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, OIT 2015 Article 96180W (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9618). SPIE. https://doi.org/10.1117/12.2193132