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

2021 ◽  
pp. 004051752110408
Author(s):  
Ruihua Yang ◽  
Chuang He ◽  
Bo Pan ◽  
Zhuo Wang
Keyword(s):  
Least Squares ◽  
Color Difference ◽  
Test Sample ◽  
Experimental Results ◽  
Color Matching ◽  
Matching Model ◽  
K Value ◽  
Rotor Spinning ◽  
Viscose Fibers ◽  
Relative Value

The color-matching model is conducive to expanding the scope of application of colorful fabrics and can speed up the achievement of intelligent production. To solve the problem in which the existing color-matching system of intelligent colored spun yarn cannot be applied to the digital rotor-spinning products of dope dyed viscose fiber, 66 types of mélange yarn were spun with a digital rotor-spinning frame using red, yellow, and blue dope dyed viscose fibers at a ratio gradient of 10%. Furthermore, the knitted fabric samples were produced using a circular machine. Meanwhile, a Datacolor 650 spectrophotometer was used for color testing, and the experimental results were recorded. Based on the color-matching model of the Kubelka–Munk theory, a color-matching model is built based on the experimental results. In addition, the accuracy of the model was analyzed and verified using the least-squares and relative value methods. The results show that, compared with the relative value method, the color-matching model constructed using the absorption coefficient K value and scattering coefficient S value calculated based on the least-squares approach is more accurate. The error between the predicted ratio of the test sample and the actual ratio was only 0.0979, the average color difference was only 0.465, and there were no visible differences between the predicted color of the sample and the actual color.

Spectrophotometric color matching for pre-colored fiber blends based on a hybrid of least squares and grid search method

2021 ◽  
pp. 004051752198978
Author(s):  
Ge Zhang ◽  
Ruru Pan ◽  
Jian Zhou ◽  
Lei Wang ◽  
Weidong Gao
Keyword(s):  
Least Squares ◽  
Production Efficiency ◽  
Least Squares Method ◽  
Color Difference ◽  
Search Method ◽  
Grid Search ◽  
Color Matching ◽  
Standard Samples ◽  
Grid Search Method ◽  
Colored Cotton

Computer color matching can improve production efficiency and reduce costs in color spun. However, in practice the computer color matching success rate for pre-colored fiber blends has not been good, leading to customers being unsatisfied with the accuracy of the color matching results. Aiming to improve the accuracy, a hybrid of least squares and grid search method has been proposed for spectrophotometric color matching of pre-colored fiber blend based on the improved Kubelka–Munk (K-M) double-constant theory. Two-primary, three-primary, four-primary, and five-primary pre-colored cotton fiber blends were prepared as standard samples to evaluate the color matching accuracy of the proposed method. Compared with the least squares method and the grid search method, the proposed method achieved better color matching effects and greatly shortened the calculation time, respectively. For 42 pre-colored fiber blends, the average color difference between the predicted results obtained by the proposed method, least squares method, and grid search method and the spectrophotometer measurements were respectively 0.29, 0.53, and 0.36 CIE2000 units. The experimental results indicated that the proposed method could predict the formulation of standard samples quickly and effectively, and that it was superior to other methods in providing satisfactory color matching results for the enterprises.

Manufacturing Color-Blended Slub Yarn: Computer Numerically Controlled Ring-Spinning Frame and Kubelka-Munk Double Constant Theory

2021 ◽  
Vol 8 (3) ◽  
pp. 8-16
Author(s):  
Peng Cui ◽  
Yuan Xue ◽  
Yuexing Liu
Keyword(s):  
Least Square Method ◽  
Color Difference ◽  
Least Square ◽  
Color Matching ◽  
Ring Spinning ◽  
Scattering Coefficients ◽  
Knit Fabrics ◽  
Relative Value ◽  
Computer Numerically Controlled ◽  
Slub Yarn

In the present work, we used the computer numerically controlled (CNC) ring-spinning frame to produce the color-blended slub yarns made from three different colored rovings with a 10% blending gradient. The blending ratio of rovings was determined by Kubelka-Munk (K-M) double constant theory. The as-manufactured yarns were made into knit fabrics with a circular knitting machine. The relative value method was used to solve the absorption and scattering coefficients of each colored fiber, and the least-square method was used to solve for the blending ratio of color-blended slub yarn. The results show that the average color difference between predicted and measured L*a*b* values was 1.74, and the error of the blending ratio was 7.38%, which are within the acceptable ranges for color matching of yarns.

Stearns-Noechel color matching model of digital rotor spinning viscose melange yarn

Cellulose ◽  
2021 ◽  
Author(s):  
Ruihua Yang ◽  
Bo Pan ◽  
Kanglei Zhang ◽  
Zhuo Wang
Keyword(s):  
Color Matching ◽  
Matching Model ◽  
Rotor Spinning

Image Reconstruction on Quincunx Patterned Green Channel

2013 ◽  
Vol 717 ◽  
pp. 493-496
Author(s):  
Gwang Gil Jeon
Keyword(s):  
Image Reconstruction ◽  
Least Squares ◽  
Least Squares Method ◽  
Interpolation Method ◽  
Experimental Results ◽  
Color Filter ◽  
Image Artifacts ◽  
Green Channel ◽  
Filter Array ◽  
Single Sensor

This paper addresses the issue of the quincunx patterned green channel interpolation method that is obtained by single sensor cameras. Our goal is to reconstruct the green channel in Bayer color filter array (CFA) data. We present a new filter-based method for the reduction of image artifacts in green channel. To reconstruct green channel, we trained a filter using least squares method. Experimental results confirm the effectiveness of the proposed method. Compared to other bilinear and bicubic filters, the improvement in quality has been achieved.

L X-ray fluorescence cross sections in the atomic region 59 ≤ Z ≤ 82 excited by 16.58 keV photons

1996 ◽  
Vol 74 (5-6) ◽  
pp. 230-235 ◽  
Author(s):  
D. V. Rao ◽  
R. Cesareo ◽  
G. E. Gigante
Keyword(s):  
Excitation Energy ◽  
Least Squares ◽  
Cross Sections ◽  
Experimental Results ◽  
X Ray ◽  
Experimental Cross ◽  
Average Fluorescence ◽  
Good Agreement

LL, Lα, Lβ, and Lγ X-ray fluorescence cross sections for Pr, Sm, Gd, Dy, Ho, Er, Yb, Pt Au, and Pb were measured at the excitation energy 16.58 keV. An X-ray tube and a secondary excitor system was used instead of radioisotopes for the measurements. Experimental cross sections are compared with the theoretical estimates based on relativistic Dirac–Hartree–Slater theory. Average L-shell fluorescence yields [Formula: see text] are deduced using the present experimental cross sections and the theoretical subshell photoionization cross sections. The derived average fluorescence yields are fitted by least squares to polynomials in Z of the form ΣnanZn and compared with theoretical and earlier fitted values. Good agreement is observed ' between the experimental results and the theoretical estimates based on relativistic Dirac–Hartree–Slater theory.

The Color of Fe2O3 and Bi2O3 Pigmented Dental Zirconia Ceramic

2010 ◽  
Vol 434-435 ◽  
pp. 582-585 ◽  
Author(s):  
Ning Wen ◽  
Yuan Fu Yi ◽  
Wei Wei Zhang ◽  
Bing Deng ◽  
Long Quan Shao ◽  
...  
Keyword(s):  
Tetragonal Phase ◽  
Experimental Results ◽  
Zirconia Ceramic ◽  
Color Matching ◽  
Zirconia Ceramics ◽  
Color Properties ◽  
Color Parameters ◽  
Combined Use ◽  
Dental Application ◽  
L Value

The aim of this study was to explored the effects of Fe2O3 and Bi2O3 on the color properties of a 3Y-TZP zirconia ceramics for dental application. Pigmented dental ZrO2 powders were prepared by mixing different concentration of Fe2O3 and Bi2O3, also in their combinations with 3Y-TZP powders. The mixture was compacted by isostastic pressure, then densely sintered. Color parameters were measured by Minolta CM2600d spectrophotometer. XRD was used to exam the structure of colored 3Y-TZP. Experimental results showed that the hue of the materials shift from yellow-green to yellow-red with the increasing concentration of the Fe2O3 and Bi2O3. Combined use of Fe2O3 and Bi2O3 could further decrease the L* value, which color scope was suitable for dental color matching. The XRD spectra showed only tetragonal phase was detected.

Localization of Mobile Robot Based on Least Square Method

2013 ◽  
Vol 347-350 ◽  
pp. 808-811
Author(s):  
Jia Lu Li ◽  
Lin Bing Long ◽  
Bao Feng Zhang
Keyword(s):  
Motion Estimation ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Least Squares ◽  
Least Square Method ◽  
Least Square ◽  
Experimental Results ◽  
Sift Algorithm ◽  
Key Techniques ◽  
Point Detection

Localization is the basis for navigation of mobile robots. This paper focuses on key techniques of localization for mobile robots based on vision. Firstly, the specific measures and steps of the algorithm are analyzed and researched in depth. In the study, SIFT algorithm combined with epipolar geometry constraint is used on the environment feature point detection, matching and tracking. And the method of RANSAC combined with the least squares is used to obtain accurate results of the motion estimation. Then the necessary experiments are carried out to verify the correctness and effectiveness of algorithms. The experimental results verified the accuracy of the improved algorithm.

Analysis to the Influence of Rendering Intents on Image Reproduction

2012 ◽  
Vol 236-237 ◽  
pp. 360-365
Author(s):  
Lin Lin Chen ◽  
Guang Xue Chen ◽  
Qi Feng Chen ◽  
Rui Xin Xu
Keyword(s):  
Great Influence ◽  
Color Difference ◽  
Experimental Results ◽  
Color Management ◽  
Color Gamut ◽  
Image Reproduction

Rendering intent is one of the key elements of color management, which has a great influence on image reproduction. Matching principles of four kinds of rendering intents in ICC are elaborated. Based on the color management workflow of ICC, the chromaticity of the color patches are measured with the spectrophotometer. And then the color difference and color gamut volume of the color patches are calculated and analyzed. The experimental results play an instructive role in the choice of rendering intents and the implementation of the color management.

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