Abstract
This work proposes an electronic equipment aimed at measuring the color difference between fabrics for a homogeneous selection of these. The proposed method analyzes tissues with different illuminants so that, by taking measurements with a camera, the impact of effects such as metamerism can be reduced, resulting in a more accurate method that represents reality. For this, an enclosure was designed and built to allow constant lighting conditions and spotlights with standard lighting were installed. On the software side, the camera was manually configured to ensure persistent measurements over time and the colors obtained from the RGB color space were converted to CIELAB. For the calculation of the color difference, the Delta E (CMC) color difference equation was used because this is the standard used in the textile industry. Finally, a neural network was trained to estimate the color difference between the fabrics. To validate the results, the measurements obtained with the proposed equipment were compared with those obtained using a colorimeter to measure the colors of the fabrics and calculate whether their color difference is significant. The developed equipment achieved an accuracy of 95% in the correct identification of fabrics that are homogenous in color.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lockuán Lavado, F.E.: La industria textil y su control de calidad. Tejeduría (2012a)
Li, X., et al.: Machine vision of textile testing and quality research. J. Intell. Fuzzy Syst. 38(1), 319–325 (2020). https://doi.org/10.3233/jifs-179407
TESTEX INSTRUMENTS LTD.: Color Matching Cabinet TU300C/D (n.d.). Recuperado de: https://www.testextextile.com/product/color-light-box-tu300cd/
Yuntao, Z., Chen, L., Haoran, D., Yang, P., Zhaokui, Z.: Fabric color difference detection device based on machine vision recognition technology (International Patent No. CN210401196 (U)). European Patent Office (2020). https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200424&DB=&locale=en_EP&CC=CN&NR=210401196U&KC=U&ND=8
Li, P.-F., Ning, Y.-W., **g, J.-F.: Research on the detection of fabric color difference based on T-S fuzzy neural network. Color. Res. Appl. 42(5), 609–618 (2017). https://doi.org/10.1002/col.22113
Huertas, R., Roa, R., López, M., Robledo, L., Melgosa, M.: Comparación entre fuentessimuladora e iluminantes. In: VII Congreso Nacional de Color. Dpto. De Óptica. Ed. Mecenas, Facultad de Ciencias. Universidad de Granada. 18071 Granada (2007)
Goñi, S.M., Salvadori, V.O.: Medición de color de alimentos en el espacio CIELAB a partir de imágenes. Terceras Jornadas de Investigación, Transferencia y Extensión. La Plata: Universidad Nacional de La Plata (2015)
CIE: Colorimetry—Part 2: CIE Standard Illuminants for Colorimetry (2006a)
CIE: Geometric Tolerances for Colour Measurements (2006b)
ISO 105-J03:2009: Textiles – Tests for colour fastness-Part J03: Calculation of colour differences
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Calderón, J., Lipa, B., Kemper, G. (2023). An Electronic Equipment for Measuring Color Difference Between Tissues Based on Digital Image Processing and Neural Networks. In: Botto-Tobar, M., Zambrano Vizuete, M., Montes León, S., Torres-Carrión, P., Durakovic, B. (eds) Applied Technologies. ICAT 2022. Communications in Computer and Information Science, vol 1755. Springer, Cham. https://doi.org/10.1007/978-3-031-24985-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-24985-3_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-24984-6
Online ISBN: 978-3-031-24985-3
eBook Packages: Computer ScienceComputer Science (R0)