CN112668236B - Color spinning color matching method based on improved S-N model - Google Patents
Color spinning color matching method based on improved S-N model Download PDFInfo
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- CN112668236B CN112668236B CN202011557982.6A CN202011557982A CN112668236B CN 112668236 B CN112668236 B CN 112668236B CN 202011557982 A CN202011557982 A CN 202011557982A CN 112668236 B CN112668236 B CN 112668236B
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- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000009987 spinning Methods 0.000 title claims description 14
- 239000000835 fiber Substances 0.000 claims abstract description 33
- 230000003595 spectral effect Effects 0.000 claims abstract description 24
- 238000013507 mapping Methods 0.000 claims abstract description 21
- 238000005457 optimization Methods 0.000 claims abstract description 13
- 238000002310 reflectometry Methods 0.000 claims abstract description 9
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 abstract description 2
- 239000000203 mixture Substances 0.000 description 8
- 238000005259 measurement Methods 0.000 description 6
- 230000004075 alteration Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000004904 UV filter Substances 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000009940 knitting Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
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Abstract
The invention discloses a color matching method of a colored spun yarn based on an improved S-N model, which comprises the following steps: step (1), measuring the spectral reflectivity of a target sample; carrying out component analysis on the target sample, determining the types of colored fibers required by preparing the target sample, and measuring the spectral reflectance value of the colored fibers of each component; step (2): calculating optimization parameters of the improved S-N model mapping function on the colored fiber combination; step (3): setting parameters in the improved S-N model mapping function as the optimized parameters obtained in the step (2), mapping the target sample and each component primary color fiber sample, and constructing a color matching objective function; step (4): and (5) obtaining the optimal proportion of the target sample according to the constraint nonlinear optimization method and the minimum objective function. The invention improves the prediction precision of the S-N model.
Description
Technical Field
The invention belongs to the technical field of color spinning, and particularly relates to a color matching method of color spinning based on an improved S-N model.
Background
The spun-dyed yarn is a colored yarn spun by thoroughly mixing two or more kinds of dyed fibers. The core technology of the color spinning is color matching, in order to realize efficient computer color matching in the field of color spinning, a corresponding color prediction model needs to be established, and an S-N (Stearns-Noechel) model is the most classical colored fiber mixed color matching model based on linear addition.
However, the prediction accuracy of the model is not high due to inherent drawbacks of the S-N model mapping function.
Disclosure of Invention
The invention aims to provide a color matching method of a colored spun yarn based on an improved S-N model, so as to solve the problems.
The technical scheme provided by the invention is as follows: a color matching method of a colored spun yarn based on an improved S-N model comprises the following steps:
analyzing components of a target sample, determining the types of colored fibers required by preparing the target sample, and measuring spectral reflectance values of the target sample and colored fibers of each component;
Step (2): mixing and spinning the colored fibers of each component according to a proportion c i to prepare an intermediate sample with the same spinning parameters as the target sample, and measuring the spectral reflectivity of the intermediate sample;
step (3): mapping the spectral reflectance of the intermediate sample and the spectral reflectance value of the colored fibers of each component by improving an S-N model mapping function; the improved S-N model is as follows:
Optimizing the parameter b (lambda) to obtain an optimized parameter b optimal (lambda);
Step (4): setting a parameter b (lambda) in the improved S-N model as an optimized parameter b optimal (lambda), mapping the spectral reflectivities of the target sample and the colored fiber sample of each component, and constructing an objective function of the proportion; and (3) obtaining the optimal proportion of the target sample according to the constraint nonlinear optimization method and minimizing the objective function, and preparing the predicted sample through the optimal proportion.
As a further description of the above technical solution:
In the step (2), c i satisfies the constraint condition:
As a further description of the above technical solution:
In the step (3), the calculation method of the optimization parameter b optimal (λ) is as follows: the spectral reflectance of the intermediate sample was noted as R mix (λ); b (lambda) takes a value of 0.001 at intervals in the interval of [0.001,0.3], and the mapping value F modifed[Rmix (lambda) of the intermediate sample R mix (lambda) and the mapping value of the colored fiber sample of each component are calculated in a circulating way in each wave band to be mixed and weighted The difference, b (lambda) corresponding to the smallest 2-norm, is the optimization parameter.
As a further description of the above technical solution:
In the step (3), the calculation formula of b optimal (λ) is:
As a further description of the above technical solution:
In the step (4), the objective function is denoted as E (c i), and the calculation formula is:
wherein R target (lambda) is the spectral reflectance of the target sample.
As a further description of the above technical solution:
In the step (4), the method for obtaining the optimal ratio c i is as follows: setting initial condition c i =0 and constraint condition And c i > 0, convergence Condition/>Wherein n is the number of iterations; the calculation process is as follows:
As a further description of the above technical solution:
in the step (3), the range of the parameter alpha is 4 & gtalpha & gt1.
The beneficial effects of the invention are as follows:
The invention improves the mapping function of the S-N (Stearns-Noechel) model, enhances the linear characteristic of the mapping space and improves the prediction precision of the model. Specifically: the parameter b in the S-N model is related to a plurality of factors, such as the type of fiber, the form of the fiber, the spinning mode and the like, and the value of the parameter b is usually calculated by using a large number of training samples.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a graph comparing spectral curves of a target sample and a predicted sample according to an embodiment of the present invention.
Detailed Description
The structural features of the present invention will now be described in detail with reference to the accompanying drawings. It is noted that the aspects described below in connection with the specification drawings and the specific embodiments are exemplary only and should not be construed as limiting the scope of the invention in any way.
The embodiment provides a color matching method of a colored spun yarn based on an improved S-N model, which comprises the following steps:
Step (1): measuring spectral reflectance of a target sample
Determining a target sample to be matched, measuring the spectral reflectivity of the target sample by using an Xrite Ci7800 spectrophotometer, wherein the measurement conditions are set as follows: d65 light source, D/8 illumination viewing conditions, 25mm aperture, specular reflection (SCE) removal, no UV filter, measurement results taken at 10nm intervals over a wavelength range of 400-700nm, denoted R target (λ);
Step (2): measuring spectral reflectance values of colored fibers of each component in a target sample
Carrying out component primary color fiber analysis on a target sample, determining 3 colored fibers required by preparing the target sample (the types of the colored fibers are related to the target sample to be matched), respectively marking as primary1, primary2 and primary3, measuring the spectral reflectance value of the colored fiber sample by using an Xrite Ci7800 spectrophotometer, setting the measurement conditions in the same step (1), taking the measurement results in a wavelength range of 400-700nm at intervals of 10nm, respectively marking as R i (lambda) (i=1, 2, 3);
Step (3): spinning intermediate sample
Fully mixing three colored fibers of primary1, primary2 and primary3 according to a proportion c i (the preferable proportion is 1/3:1/3:1/3 in the embodiment), and spinning to obtain an intermediate sample with the same spinning parameters as the target sample, (the target sample in the embodiment comprises a yarn branch 32S, a twist coefficient 3.0 and 24 threads/inch single-sided knitting); measuring the spectral reflectivity by using an Xrite Ci7800 spectrophotometer, setting the measurement conditions in the same step (1), taking a wavelength range of 400-700nm at intervals of 10nm as a measurement result, and marking the wavelength range as R mix (lambda);
Step (4): function mapping and determination of optimization parameters
The spectral reflectivities R mix (lambda) of the intermediate samples and the spectral reflectivities R i (lambda) of the colored fiber samples of each component are mapped by improving the mapping function of an S-N (Stearns-Noechel) model, wherein the improvement S-N model is specifically as follows:
Wherein the parameter α is preferably α=3;
Further, based on the foregoing improved S-N model, optimization parameters are determined: b (lambda) takes a value of 0.001 at intervals in the [0.001,0.3] interval, and the mapping value F modifed[Rmix (lambda) of the intermediate sample R mix (lambda) and the mapping value of each component primary color are calculated in a circulating way in each wave band to prepare a weighted sum And b (lambda) corresponding to the minimum 2-norm is determined as an optimized parameter of the combination of three colored fibers of primary1, primary2 and primary3, and is marked as b optimal (lambda), and the calculation formula is as follows:
the calculation results of this example are shown in table 1:
TABLE 1 optimization parameters b optimal (lambda) for the combination of three colored fibers primary1, primary2 and primary3
Step (5): obtaining the optimal proportion
First, based on the optimization selection b (λ) =b optimal (λ) of the improved S-N model mapping function and the parameter b (λ) in step (4), an objective function on the formulation is constructed as follows:
Then, an optimal matching ratio c i which can be matched with the target sample is obtained based on a constraint nonlinear optimization method to minimize the target function. When solving, setting initial condition c i =0 and constraint condition And c i > 0, convergence Condition/>Wherein n is the number of iterations; the calculation process is as follows:
Through the steps, the optimal proportion of the three components of the colored fibers (primary 1, primary2 and primary 3) in the embodiment is a 1:a2:a3 = 38.73%:42.41%:18.86%, and a predicted sample obtained according to the optimal proportion can be matched with a target sample.
Further, in this embodiment, a color difference test is performed: on the one hand, as shown in FIG. 1, the improved S-N model of the invention is adopted and the chromatic aberration between the predicted sample and the target sample is calculated, so that the DE2000 chromatic aberration is 0.73; on the other hand, the existing S-N model is adopted, and the chromatic aberration between the predicted sample and the target sample is calculated, so that the DE2000 chromatic aberration is 1.67.
According to the color matching method of the color spun yarn, an improved S-N model is established, and according to the optimal parameters of the intermediate sample optimized primary color fiber (primary 1/2\3), compared with a predicted sample obtained by an existing model, the predicted sample of the embodiment has smaller color difference, is more matched with a target sample provided by a client, and has higher model prediction precision. In actual production, after receiving a target sample provided by a customer, the model of the invention can accurately analyze and predict the optimal proportion of the colored fibers of each component, and a predicted sample matched with the target sample is obtained through the optimal proportion. The invention can more accurately restore the fiber color of the target sample and meet the actual color matching production requirement.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
Claims (5)
1. The color matching method of the colored spun yarn based on the improved S-N model is characterized by comprising the following steps of:
analyzing components of a target sample, determining the types of colored fibers required by preparing the target sample, and measuring spectral reflectance values of the target sample and colored fibers of each component;
Step (2): mixing and spinning the colored fibers of each component according to a proportion c i to prepare an intermediate sample with the same spinning parameters as the target sample, and measuring the spectral reflectivity of the intermediate sample;
step (3): mapping the spectral reflectance of the intermediate sample and the spectral reflectance value of the colored fibers of each component by improving an S-N model mapping function; the improved S-N model is as follows:
Optimizing the parameter b (lambda) to obtain an optimized parameter b optimal (lambda);
Step (4): setting a parameter b (lambda) in the improved S-N model as an optimized parameter b optimal (lambda), mapping the spectral reflectivities of the target sample and the colored fiber sample of each component, and constructing an objective function of the proportion; obtaining the optimal proportion of a target sample according to the constraint nonlinear optimization method and the minimum objective function, and preparing a predicted sample through the optimal proportion;
in the step (3), the calculation method of the optimization parameter b optimal (λ) is as follows:
The spectral reflectance of the intermediate sample was noted as R mix (λ); b (lambda) takes a value of 0.001 at intervals in the interval of [0.001,0.3], and the mapping value F modifed[Rmix (lambda) of the intermediate sample R mix (lambda) and the mapping value of the colored fiber sample of each component are calculated in a circulating way in each wave band to be mixed and weighted B (lambda) corresponding to the minimum 2-norm is the optimization parameter;
In the step (3), the calculation formula of b optimal (λ) is:
2. The color matching method for color spun yarn based on improved S-N model as claimed in claim 1, wherein: in the step (2), c i satisfies the constraint condition:
3. The color matching method for color spun yarn based on improved S-N model as claimed in claim 1, wherein: in the step (4), the objective function is denoted as E (c i), and the calculation formula is:
wherein R target (lambda) is the spectral reflectance of the target sample.
4. The color matching method for color spun yarn based on improved S-N model as claimed in claim 3, wherein: in the step (4), the method for obtaining the optimal ratio c i is as follows: setting initial condition c i =0 and constraint conditionAnd c i > 0, convergence ConditionWherein n is the number of iterations; the calculation process is as follows:
5. The color matching method for color spun yarn based on improved S-N model as claimed in claim 1, wherein: in the step (3), the range of the parameter alpha is 4 & gtalpha & gt1.
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| CN107766603A (en) * | 2017-04-24 | 2018-03-06 | 东华大学 | A kind of colour-spun yarns computer is measured color method |
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