journal article·2024-08

Fluorescent whiteness measurement of textiles by multispectral imaging system

Pengpeng Yao, Ho Chung Wu, Yixuan Li, Jingyi Xu, John H. Xin

Coloration Technology· Volume 140· Issue 4
Publisher page

Abstract

Abstract Accurate whiteness measurement is critical across various industries including textiles, paper, and detergents. With the advent of fluorescent whitening agents (FWAs), the assessment of whiteness has evolved from simply measuring reflectance to determining the spectral radiance factor (SRF) of materials. While multispectral imaging (MSI) can effectively measure object reflectance and colour, its accuracy is compromised by FWAs that significantly augment spectral reflectance. Thus, reliable whiteness measurement requires the determination of both reflectance and SRF. This article presents the design of a specialised light source equipped with an ultraviolet (UV) filter to provide adjustable illumination within an integrating sphere system. By tuning the position of the UV filter, multispectral images are captured of a fabric under varying UV exposures. These images are subsequently processed and combined to reconstruct full‐range visible spectrum information. This approach is shown to achieve high accuracy and spatial uniformity in quantifying the whiteness of textiles using MSI.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Color Science and Applications · Dyeing and Modifying Textile Fibers · Cultural Heritage Materials Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Big Data and Intelligent Computing Zhuhai Fudan Innovation Institute Zhuhai China

School of Fashion and Textile The Hong Kong Polytechnic University Hong Kong China

Department of Applied Mathematics The Hong Kong Polytechnic University Hong Kong China

Scholl of Computer Science Fudan University Shanghai China

Funding

National Natural Science Foundation of China

References (28)

Show source-provided references
1. 10.1002/col.2247610.1002/col.22476 ↗
2. 10.1111/cote.1216210.1111/cote.12162 ↗
3. Hill B · 2007
4. Herzog PG · 2003 · 258
5. 10.1117/12.37338810.1117/12.373388 ↗
6. Multispectral image acquisition and simulation of illuminant changes
7. 10.1117/1.150334610.1117/1.1503346 ↗
8. 10.1002/col.2198110.1002/col.21981 ↗
9. 10.1111/cote.1219110.1111/cote.12191 ↗
10. 10.3390/s2302068910.3390/s23020689 ↗
11. Automatic color pattern recognition of multispectral printed fabric images
12. 10.1111/jerd.1280110.1111/jerd.12801 ↗
13. 10.1016/j.jdent.2017.09.00610.1016/j.jdent.2017.09.006 ↗
14. AATCCT · 2018 · 185
15. 10.1177/004051750708068810.1177/0040517507080688 ↗
16. 10.1117/12.70301310.1117/12.703013 ↗
17. 10.15376/biores.12.3.4854-486610.15376/biores.12.3.4854-4866 ↗
18. 10.1002/col.508019060710.1002/col.5080190607 ↗
19. Puebla C · 2006 · 18
20. ASTME.991–06: Standard Practice for Color Measurement of Fluorescent Specimens. American Society for Testing and Materials West Conshohocken PA.2006.
21. 10.1002/col.2201510.1002/col.22015 ↗
22. 10.1007/978-3-319-10602-1_1410.1007/978-3-319-10602-1_14 ↗
23. 10.1002/978047017563710.1002/9780470175637 ↗
24. XinJH ShenH GeQ.Color quality assessment based on multispectral imaging; US Patent 10 713 780 B2. Assigned to Hong Kong Research Institute of Textiles and Apparel Ltd; 2020.
25. XinJH ShenH GeQ.Multispectral color imaging device based on integrating sphere lighting and calibration methods thereof; US Patent 10 798 317 B2. Assigned to Hong Kong Research Institute of Textiles and Apparel Ltd; 2020.
26. 10.1364/OE.25.02798110.1364/OE.25.027981 ↗
27. 10.1364/JOSAA.34.00064010.1364/JOSAA.34.000640 ↗
28. 10.1177/147715351666764210.1177/1477153516667642 ↗