Color-matching model of digital rotor spinning viscose mélange yarn based on the Kubelka–Munk theory

Yang, Ruihua; He, Chuang; Pan, Bo; Wang, Zhuo

doi:10.1177/00405175211040871

Cited by 10 publications

(10 citation statements)

References 15 publications

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“…Kubelka–Munk equation [ 27 ] was used to calculate the fabric color strength (K/S) values based on the reflectances recorded on the UV–Vis 2600r (Shimadzu, Kyoto, Japan).…”

Section: Methodsmentioning

confidence: 99%

Sustainable Dyeing and Functionalization of Different Fibers Using Orange Peel Extract’s Antioxidants

et al. 2022

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A diluted ethanol orange peel extract was used for sustainable dyeing and functionalization of different fabrics. The extract analysis was performed using UPLC-ESI-MS/MS; its total flavonoid (0.67 g RE/100 g d.w.) and antioxidant (2.81 g GAE/100 g d.w.) contents and antioxidant activity (IC50 of 65.5 µg/mL) were also determined. The extract dyeing performance at various dyebath pH values was evaluated using multifiber fabric. Among six fabrics, extract possessed the ability for dyeing wool, polyamide, and cellulose acetate (at pH 4.5), which color strength (K/S) values increased after washing (9.7–19.8 vs. 11.6–23.2). Extract:water ratio of 20:35 (v/v) was found to be sufficient for achieving satisfactory K/S values (i.e., 20.17, 12.56, and 10.38 for wool, polyamide, and cellulose acetate, respectively) that were slightly changed after washing. The optimal dyeing temperatures for wool, polyamide, and cellulose acetate are 55, 35, and 25 °C, while the equilibrium dye exhaustion at those temperatures was achieved after 45, 120, and 90 min, respectively. The color coordinate measurements revealed that wool and polyamide fabrics are yellower than cellulose acetate, while, compared to polyamide and cellulose acetate, wool is redder. Possible interactions between selected fabrics and extract compounds are suggested. All fabrics possessed excellent antioxidant activity (88.6–99.6%) both before and after washing. Cellulose acetate provided maximum bacterial reduction (99.99%) for Escherichia coli, and Staphylococcus aureus, which in the case of Staphylococcus aureus remained unchanged after washing. Orange peel extract could be used for simultaneous dyeing and functionalization of wool and polyamide (excellent antioxidant activity) and cellulose acetate (excellent antioxidant and antibacterial activity) fabrics.

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“…Kubelka–Munk equation [ 27 ] was used to calculate the fabric color strength (K/S) values based on the reflectances recorded on the UV–Vis 2600r (Shimadzu, Kyoto, Japan).…”

Section: Methodsmentioning

confidence: 99%

Sustainable Dyeing and Functionalization of Different Fibers Using Orange Peel Extract’s Antioxidants

et al. 2022

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“…Apparently, their results turn out to be good as no less than 0.97, and the mean, minimum, and maximum values of the sum of the squares due to errors of the fitted and original data (SSE) between the predicted results of FðC 1 ; R 1;mix Þ=R 1;mix on equation (7) and the measured ones are as low as 0.66, 0.09, and 1.44, respectively. Hence, we substituted it into formula (5) to form the new theorem for K-M transmission law where K denotes the monochromatic light (K ¼ R, G, B). Accordingly, the scattering powers of W/K training specimens were obtained by this method.…”

Section: Scattering Coefficients Of Primary Fibers and Mixed Ones Und...mentioning

confidence: 99%

“…In recent years, blending yarn has been of wide interest because of its green ecological production process, 1,2 rich color layers, and hazy three-dimensional effects. [3][4][5] Hence, its quality control and technical design in color and mechanical properties played vital roles and were mainly determined by the masses of primary fibers in mixed fiber assemblies, 6,7 especially in the processing of supplied yarns or fabrics.…”

mentioning

confidence: 99%

“…26 However, bias resulting from the exclusive surface reflectance of this theory still exists. 27,28 To date, the K-M theory has mainly focused on color prediction in the textile field using its reflectance law and addition theorem, 5,23,[29][30][31] and was also gradually applied in relative mass prediction using its transmission function in recent years. [32][33][34] For example, Wu and Wang proposed an algorithm to calculate the optical relative surface density of fiber assembly based on K-M theory and obtained stable and accurate results on measuring the fiber length.…”

mentioning

confidence: 99%

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Modified addition theorem on Kubelka-Munk transmission law for mass prediction of each primary in two-mixed cotton fiber blends

Wu,

Lu,

et al. 2024

Textile Research Journal

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Unclear light propagation in mixed fibers has resulted in unachievable masses of primary fibers, in particular thin two-mixed fiber assemblies for decades. Hereby, a modified mixed medium addition theorem of the Kubelka-Munk transmission model is proposed to address this issue. This theorem was constructed by introducing a transfer function in the common ones on scattering coefficients, and such a transfer function takes both the mass proportion of each component and the reflectivity of mixed material into consideration. This opens up a new avenue for understanding the possible light mechanism of color mixed fiber assemblies. The proposed method demonstrated excellent accuracy in determining the primary masses of 48 specimens, with an average mean absolute error of only 2.23 mg. In comparison, the Lambert-Beer law yielded a much higher average mean absolute error of 8.66 for all types of blended samples. Such superiority was particularly obvious in white-black mixed samples, probably due to its comprised reflectance. In brief, this proposed theorem shows a high-quality prediction accuracy level in fiber mass and can be expanded to detect and control mixed fibers, as well as fiber length and uniformity detection through further study.

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“…In the literature, Zhang and Xiong 28 proposed a method for color perception and recognition of Cantonese embroidery images based on a discrete mathematical model. In the literature, Yang and He 29 established a color matching model based on the Kubelka–Munk theory based on experimental results. In this section, we apply the proposed CPRM to fabric color perception and representation, and the data sets are collected from different types of fabric images.…”

Section: Application Of Cprm In Fabric Color Representationmentioning

confidence: 99%

CPRM: Color perception and representation model for fabric image based on color sensitivity of human visual system

Zhao

Han

Shi

et al. 2023

Textile Research Journal

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As an important attribute of fabric appearance and the first element that affects vision, color plays an important part in fabric and garment design, development, production and sales. Fabrics are becoming increasingly colorful which raises the difficulty of automatic recognition. With the development of computer vision technology, it has become a mainstream research hotspot to process and recognize fabric colors through novel computer vision techniques. In this paper, a color perception and representation model (CPRM) for fabric image based on color sensitivity of the human visual system is proposed to deal with the color changes caused by the human eye’s perception of fabric appearance. Inspired by the human visual biological mechanisms, we designed a CPRM by using the color sensitive function. In order to verify the effectiveness of the proposed CPRM, two types of computer simulation experiments are simulated, which are color shifts and color matching. The former verifies that our proposed model can effectively simulate the human visual system in color perception actions, which is consistent with the results verified by biological experimental data; the latter shows that the proposed model’s synergy of assimilation and contrast is closer to the biological model during the color perception stage. Finally, the CPRM is applied on three different fabric image data sets, and extensive experiments are simulated by the proposed CPRM. The CPRM could not only effectively characterize the color contrasts, but also accurately express the color changes caused by the fine adjustment of dyed fibers. The experimental results show the validity of the proposed CPRM, which can effectively perceive and represent fabric color. The proposed CPRM has important application prospects in improving color matching efficiency and intelligent production level in the textile industry.

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Color-matching model of digital rotor spinning viscose mélange yarn based on the Kubelka–Munk theory

Cited by 10 publications

References 15 publications

Sustainable Dyeing and Functionalization of Different Fibers Using Orange Peel Extract’s Antioxidants

Sustainable Dyeing and Functionalization of Different Fibers Using Orange Peel Extract’s Antioxidants

Modified addition theorem on Kubelka-Munk transmission law for mass prediction of each primary in two-mixed cotton fiber blends

CPRM: Color perception and representation model for fabric image based on color sensitivity of human visual system

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