Clothing color whiteness prediction method and system

Abstract

The application discloses a kind of clothing color whiteness prediction method and system, including the measurement of the spectral reflectance of the clothing to be evaluated;Calculate the color appearance attribute information of the clothing to be evaluated;The collection of the spectral reflectance of the face skin of the wearer of the clothing to be evaluated;Calculate the chroma attribute of the face skin of the wearer of the clothing to be evaluated;Calculate the face skin color perception whiteness angle of the wearer of the clothing to be evaluated;Determine whether the face skin perception whiteness angle of the wearer of the clothing to be evaluated is within the scope applicable by the application;Collect the observation and evaluator gender of the whiteness attribute of the clothing to be evaluated;For the clothing to be evaluated, according to its color appearance information, the face skin color perception whiteness angle of the wearer, the evaluator gender, combined with the clothing color whiteness quantification model, the corresponding estimated value is obtained, and the whiteness effect of different color appearance attributes clothing is characterized.

Description

Technical Field

[0001] This invention belongs to the field of clothing color application, specifically relating to a method and system for predicting the whiteness of clothing colors. Background Technology

[0002] In East Asia, the lightness or darkness of skin tone is highly valued, with a general consensus that fairer skin is more aesthetically pleasing. Therefore, many people employ various methods to enhance their skin's lightness, such as using whitening cosmetics, concealers, and sunscreens. In addition, another common method is to choose clothing in specific colors to achieve a brightening effect; this attribute is known as the whitening effect of clothing colors.

[0003] Human color perception involves a brightness contrast effect, meaning that within the same visual field, the perceived brightness of a color at the center of the field of view changes depending on the brightness of colors in the surrounding visual field. Due to this brightness contrast effect, different colored clothing will have different effects on the perception of facial skin tone. Therefore, choosing clothing with different chromaticity attributes can enhance the perceived brightness of facial skin tone. However, the skin-brightening effect of a specific color varies from person to person. Individual facial skin tones differ, and this difference influences the perception of skin tone brightness. For individuals with different facial skin tones, clothing with different chromaticity attributes will have different effects on the perceived brightness of facial skin tone.

[0004] Furthermore, existing research has shown that there are complex differences in color vision between men and women at the neuroscience and cognitive-behavioral levels. Men and women exhibit different performances in color discrimination ability, color preference, color memory, and color recognition. Therefore, it is necessary to consider the gender and corresponding color vision characteristics of the observers and evaluators to accurately quantify and predict the whitening properties of different colored clothing.

[0005] References: 1.Fink,B.,Grammer,K.,and Matts,P.(2006).Visible skin colordistribution plays a role in the perception of age,attractiveness,and healthin female faces.Evolution and Human Behavior 27,433-442.

[0006] 2.Kowal, M., Sorokowski, P., Pisanski, K., Valentova, JV, Varella, MAC, Frederick, DA, Al-Shawaf, L., García, FE, Giammusso, I., Gjoneska, B., et al. (2022). Predictors of enhancing human physical attractiveness: Data from 93 countries. Evolution and Human Behavior 43,455-474.

[0007] 3.Yund,EW,and Armington,JC(1975).Color and brightness contrast effects as a function of spatial variables.Vision Res 15,917-929.

[0008] 4.de Vries,GJ,and Forger,NG(2015).Sex differences in the brain:whole body perspective.Biology of Sex Differences 6,15.

[0009] However, current research by scholars both domestically and internationally has not fully considered the impact of clothing color appearance attributes on the subjective whiteness of clothing. Furthermore, existing methods for predicting clothing whiteness attributes have not considered the differences between men and women in color visual perception, nor have they fully considered the interactive effects between clothing color appearance attributes, wearer's facial skin color attributes, and the gender of the evaluator.

[0010] To address the aforementioned issues, there is an urgent need to propose a technical solution that addresses the impact of clothing color appearance attributes on clothing whitening attributes. This solution should realize a method and system for predicting clothing color whitening that aligns with the human eye's subjective color visual perception, while also taking into account the interactive effects between clothing color appearance attributes, wearer's facial skin tone attributes, and the gender of the evaluator. Summary of the Invention

[0011] The purpose of this invention is to solve the problems described in the background art by proposing a method and system for predicting the whiteness of clothing colors.

[0012] The technical solution of this invention is to provide a method for predicting the whiteness of clothing colors, comprising the following steps:

[0013] Step 1: Measure the spectral reflectance of the garment to be evaluated;

[0014] Step 2: Calculate the color appearance attribute information of the garment to be evaluated under standard light source in the uniform color space S1;

[0015] Step 3: Measure the spectral reflectance of the facial skin of the wearer of the clothing to be evaluated;

[0016] Step 4: Calculate the facial skin color attribute L of the wearer of the clothing to be evaluated in color space S2. * a * and b * ;

[0017] Step 5, combine the facial skin color attribute L of the wearer of the clothing to be evaluated from Step 4. * a * and b * Calculate the angle of perceived whiteness of facial skin tone.

[0018] Step 6: Determine the angle of perceived whiteness of the facial skin of the wearer of the clothing to be evaluated. Whether it is within the set range, i.e., judgment Check if the condition is met. If not, exit; if met, proceed to the next step.

[0019] Step 7: Collect the observation and evaluator's sex value for the whitening attribute of the clothing to be evaluated, with a value of 1 or 2.

[0020] Step 8: Combining the color and appearance attribute information of the garment to be evaluated from Steps 2, 5, and 7, and the perceived whiteness angle of the wearer's facial skin. The evaluator's gender (sex) is used to construct a quantitative model F for evaluating the whitening attribute of clothing, obtain the estimated value of the whitening attribute of the clothing to be evaluated, and thus achieve the representation of the whitening effect of clothing with different color attributes.

[0021]

[0022] Where F is the estimated value of the whitening attribute of the clothing, J is the lightness of the clothing to be evaluated, a is the red-green component of the clothing to be evaluated, b is the yellow-blue component of the clothing to be evaluated, M is the chroma of the clothing to be evaluated, and h is the hue angle of the clothing to be evaluated. The angle representing the perceived whiteness of the facial skin of the person wearing the clothing to be evaluated, and sex representing the gender of the evaluator.

[0023] Furthermore, the spectral reflectance of the garment to be evaluated and the facial skin of the wearer of the garment was measured using information in the 400nm-700nm wavelength band.

[0024] Furthermore, the uniform color space S1 adopts the CIE CAM16-UCS uniform color space; the standard light source is D65.

[0025] Furthermore, the uniform color space S2 adopts CIEL. * a * b * Color space.

[0026] Furthermore, the angle of perceived whiteness of facial skin tone. The specific calculation formula is as follows;

[0027]

[0028] Here, ArcTan is the arctangent function.

[0029] This invention also provides a clothing color whiteness prediction system, comprising the following modules:

[0030] The clothing spectral reflectance acquisition module is used to measure the spectral reflectance of the clothing to be evaluated.

[0031] The clothing color appearance attribute calculation module is used to calculate the color appearance attribute information of the clothing to be evaluated under a standard light source in a uniform color space S1.

[0032] The facial skin reflectance acquisition module is used to measure the spectral reflectance of the facial skin of the wearer of the clothing to be evaluated.

[0033] The facial skin tone attribute calculation module is used to calculate the facial skin tone attribute L of the wearer of the clothing being evaluated in the color space S2. * a * and b * ;

[0034] The facial skin tone perception whiteness angle calculation module is used to combine the facial skin color attribute L of the wearer of the clothing being evaluated. * a * and b * Calculate the angle of perceived whiteness of facial skin tone.

[0035] The judgment module is used to determine the perceived whiteness angle of the facial skin of the wearer of the clothing to be evaluated. Whether it falls within the scope of this invention, i.e., determining Whether it is true or false, if it is not true, then this invention is not applicable; if it is true, then proceed to the next step.

[0036] The gender acquisition module is used to collect the gender of the observer and evaluator of the whitening attribute of the clothing to be evaluated, with a value of 1 or 2.

[0037] The clothing color whitening evaluation module combines the color appearance information of the clothing to be evaluated with the perceived whiteness angle of the wearer's facial skin. The evaluator's gender (sex) is used to construct a quantitative model F for evaluating the whitening attribute of clothing, obtain the estimated value of the whitening attribute of the clothing to be evaluated, and thus achieve the representation of the whitening effect of clothing with different color attributes.

[0038]

[0039] Where F is the estimated value of the whitening attribute of the clothing, J is the lightness of the clothing to be evaluated, a is the red-green component of the clothing to be evaluated, b is the yellow-blue component of the clothing to be evaluated, M is the chroma of the clothing to be evaluated, and h is the hue angle of the clothing to be evaluated. The angle representing the perceived whiteness of the facial skin of the person wearing the clothing to be evaluated, and sex representing the gender of the evaluator.

[0040] Furthermore, the spectral reflectance of the garment to be evaluated and the facial skin of the wearer was measured using information in the 400nm-700nm wavelength band.

[0041] Furthermore, the uniform color space S1 adopts the CIE CAM16-UCS uniform color space; the standard light source is D65.

[0042] Furthermore, the uniform color space S2 adopts CIEL. * a * b * Color space.

[0043] Furthermore, the angle of perceived whiteness of facial skin tone. The specific calculation formula is as follows;

[0044]

[0045] Here, ArcTan is the arctangent function.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0047] This invention proposes a quantitative prediction technology for clothing color whitening, which relies on the color characteristics of the clothing to be evaluated and uses a quantitative model for clothing color whitening to achieve a comprehensive and accurate characterization of the whitening effect of clothing with different color attributes. This provides an effective and targeted method for evaluating the color perception characteristics of clothing in this field. Attached Figure Description

[0048] Figure 1 This is a flowchart of an embodiment of the present invention. Detailed Implementation

[0049] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0050] like Figure 1 The embodiment shown provides a quantitative prediction technology for clothing color whitening, which relies on the color characteristics of the clothing to be evaluated and uses a quantitative model for clothing color whitening to achieve a comprehensive and accurate characterization of the whitening effect of clothing with different color attributes. This provides an effective and targeted method for evaluating the color perception characteristics of clothing in the field.

[0051] The example uses 22 solid-color sweatshirts with different chromaticity attributes as the garments to be evaluated: the lightness (J) of the garments ranges from 15.74 to 90.36, the red-green component (a) ranges from -14.44 to 35.52, the yellow-blue component (b) ranges from -17.04 to 27.13, the saturation (M) ranges from 1.18 to 37.99, and the hue (h) range includes all hue angles. Four models with typical East Asian skin tones were used as wearers of the garments to be evaluated. The accuracy of the proposed method for predicting the whiteness of clothing colors was demonstrated using psychophysical experimental results as the model validation basis. It should be noted that this invention is not limited to the aforementioned garments and skin tones; this method is also applicable to garments with other chromaticity attributes or models with different skin tones.

[0052] In specific implementations, the technical solution of this invention can be automatically executed by those skilled in the art using computer software technology. The method flow provided in the embodiments includes the following steps:

[0053] 1) Measure the spectral reflectance of the garment to be evaluated using information in the 400nm-700nm band;

[0054] In this embodiment, 22 solid-color sweatshirts with different chromaticity attributes were used as garments to be evaluated, and the spectral reflectance of the garments to be evaluated was measured using an X-Rite i1 Pro spectrophotometer with a wavelength range of 400nm-700nm.

[0055] 2) Calculate the color appearance attribute information of the garment to be evaluated under the standard light source D65 in the uniform color space S1;

[0056] In this embodiment, the CAM16-UCS color space is used to calculate the chromaticity attribute information of the garment to be evaluated under the D65 standard light source. For the specific method of calculating the chromaticity attribute information in the CAM16-UCS color space, please refer to Li C, Li Z, Wang Z, et al. Comprehensive color solutions: CAM16, CAT16, and CAM16-UCS[J]. Color Research & Application, 2017, 42(6):703-718. This invention will not elaborate further.

[0057] 3) Measure the spectral reflectance of the facial skin of the wearer of the clothing to be evaluated, using information in the 400nm-700nm band;

[0058] In this embodiment, the spectral reflectance of the facial skin of the wearer of the clothing to be evaluated was measured using an X-Rite i1 Pro spectrophotometer in the wavelength range of 400nm-700nm.

[0059] 4) Calculate the facial skin color attribute L of the wearer of the clothing to be evaluated in the color space S2. * a * and b * ;

[0060] In the embodiment, CIEL is used. * a * b * Color space, calculate the facial skin color attributes of the wearer of the clothing to be evaluated under the D65 standard light source.

[0061] 5) The facial skin color attribute L of the wearer of the clothing to be evaluated * a * and b * Inputting the angle of perceived whiteness of facial skin tone The specific calculation formula is as follows;

[0062]

[0063] In the embodiment, the perceived whiteness angles of facial skin tone for the four clothing wearers to be evaluated were as follows:

[0064] 6) Determine the angle of perceived whiteness of the facial skin of the wearer of the clothing to be evaluated. Whether it falls within the scope of this invention, i.e., determining Whether it is true or false, if it is not true, then this invention is not applicable; if it is true, then proceed to the next step.

[0065] In the embodiment, a = 0, b = 60.

[0066] 7) Collect data on the whitening attribute of the clothing to be evaluated and the gender of the evaluators;

[0067] In this embodiment, if the evaluator is male, the gender is assigned the value sex=1; if the evaluator is female, the gender is assigned the value sex=2.

[0068] 8) Obtain the color and appearance attribute information of the clothing to be evaluated from steps 2), 5), and 7), and the angle of perceived whiteness of the facial skin of the wearer of the clothing to be evaluated. The evaluator's gender (sex) is input into the quantitative model F constructed in this invention for evaluating the whitening attribute of clothing, thereby obtaining the estimated value of the whitening attribute of the clothing to be evaluated, and thus realizing the characterization of the whitening effect of clothing with different color appearance attributes.

[0069] F is a quantitative model for the skin-brightening attribute of clothing, and its specific form is as follows:

[0070]

[0071] Where F is the estimated value of the whitening attribute of the clothing, J is the lightness of the clothing to be evaluated, a is the red-green component of the clothing to be evaluated, b is the yellow-blue component of the clothing to be evaluated, M is the chroma of the clothing to be evaluated, and h is the hue angle of the clothing to be evaluated. The angle representing the perceived whiteness of the facial skin of the person wearing the clothing to be evaluated, and sex representing the gender of the evaluator.

[0072] To further demonstrate the technical advantages of the method described in this invention in evaluating the whiteness of clothing colors, a subjective comparative experiment was conducted, and the goodness of fit R was measured. 2 Using the correlation coefficient R method, the goodness of fit R between the observer's subjective evaluation of the whiteness of clothing obtained from the subjective experiment and the clothing whiteness attribute quantification model F in 8) is calculated. 2 And the correlation coefficient R. The specific implementation was as follows: using the aforementioned 22 solid-color sweatshirts with different chromaticity attributes as the garments to be evaluated, and four models with typical East Asian skin tones as the wearers of the garments to be evaluated, a subjective evaluation experiment on whitening effect was conducted. The specific experimental method is as follows:

[0073] 1) The experimental lighting was constructed using two LightCubes. The two cubes were positioned at a 120° angle to each other on the left and right sides of the experimental scene, tilted at a 30° angle to illuminate the black chair in the experimental area. The height of the black chair was adjustable; before the experiment, the chair height was adjusted to ensure even illumination of the model's face (measurements showed that the illuminance on both sides of the model's face was similar). The correlated color temperature (CCT) of the light source was 6500K, and the illuminance was 750 lx. During the experiment, the average illuminance on the side and front of the model's face was 82 lx.

[0074] 2) A total of 66 observers (33 males and 33 females) participated in the subjective evaluation experiment on whiteness, with the youngest being 18 years old, the oldest 38 years old, and the average age being 22 years old. Before the experiment officially began, the observers were required to take the Ishihara color blindness test to ensure that they did not have visual impairments in color perception. After passing the test, they filled out a questionnaire outside the laboratory containing information such as gender, age, and skin color. When the observers entered the laboratory, they changed into a gray lab coat to prevent problems such as glare from the clothing and interference from the color of the clothing itself, and were asked to turn off their mobile phones and other light-emitting devices.

[0075] 3) In the subjective evaluation experiment on the whitening effect of clothing, models entered the laboratory wearing 22 pieces of clothing in a random order. Observers were required to make subjective judgments and ratings on the whitening effect of the models' facial skin tones while wearing the current clothing. Since all four models wore 22 pieces of clothing, observers needed to make a total of 88 observations and evaluations.

[0076] The above subjective experiments yielded observers' subjective evaluations of the whiteness of 22 garments, and the goodness of fit R between these evaluations and the garment whiteness attribute quantification model F constructed in this invention was further calculated. 2 The correlation coefficients R are shown in Table 1. The results show that the goodness of fit between the subjective evaluation value and the model estimate is 0.897 and the correlation coefficient is 0.938, respectively, proving that the clothing whitening attribute quantification model F constructed in this invention has extremely high accuracy, and further demonstrating that the method described in this invention has strong technical advantages in evaluating the whitening effect of clothing colors.

[0077] Table 1. Goodness of fit R between subjective evaluation values ​​and model estimates 2 and correlation coefficient R

[0078] Whitening effect 0.897 0.938

[0079] On the other hand, the present invention also provides a clothing color whiteness prediction system, comprising the following modules:

[0080] The clothing spectral reflectance acquisition module is used to measure the spectral reflectance of the clothing to be evaluated.

[0081] The clothing color appearance attribute calculation module is used to calculate the color appearance attribute information of the clothing to be evaluated under a standard light source in a uniform color space S1.

[0082] The facial skin reflectance acquisition module is used to measure the spectral reflectance of the facial skin of the wearer of the clothing to be evaluated.

[0083] The facial skin tone attribute calculation module is used to calculate the facial skin tone attribute L of the wearer of the clothing being evaluated in the color space S2. * a *and b * ;

[0084] The facial skin tone perception whiteness angle calculation module is used to combine the facial skin color attribute L of the wearer of the clothing being evaluated. * a * and b * Calculate the angle of perceived whiteness of facial skin tone.

[0085] The judgment module is used to determine the perceived whiteness angle of the facial skin of the wearer of the clothing to be evaluated. Whether it falls within the scope of this invention, i.e., determining Whether it is true or false, if it is not true, then this invention is not applicable; if it is true, then proceed to the next step.

[0086] The gender acquisition module is used to collect the gender of the observer and evaluator of the whitening attribute of the clothing to be evaluated, with a value of 1 or 2.

[0087] The clothing color whitening evaluation module combines the color appearance information of the clothing to be evaluated with the perceived whiteness angle of the wearer's facial skin. The evaluator's gender (sex) is used to construct a quantitative model F for evaluating the whitening attribute of clothing, obtain the estimated value of the whitening attribute of the clothing to be evaluated, and thus achieve the representation of the whitening effect of clothing with different color attributes.

[0088]

[0089] Where F is the estimated value of the whitening attribute of the clothing, J is the lightness of the clothing to be evaluated, a is the red-green component of the clothing to be evaluated, b is the yellow-blue component of the clothing to be evaluated, M is the chroma of the clothing to be evaluated, and h is the hue angle of the clothing to be evaluated. The angle representing the perceived whiteness of the facial skin of the person wearing the clothing to be evaluated, and sex representing the gender of the evaluator.

[0090] The specific implementation of each module and the corresponding steps are not detailed in this invention.

[0091] The specific embodiments described herein are merely illustrative of the spirit of the invention. Those skilled in the art to which this invention pertains may make various modifications or additions to the described specific embodiments or use similar methods to substitute them, without departing from the spirit of the invention or exceeding the scope defined by the appended claims.

Claims

1. A method of predicting the whiteness of a color of a garment, the method comprising: obtaining a color of a garment; and determining a whiteness of the color of the garment. Includes the following steps: Step 1: Measure the spectral reflectance of the garment to be evaluated; Step 2: Calculate the color appearance attribute information of the garment to be evaluated under standard light source in the uniform color space S1; Step 3: Measure the spectral reflectance of the facial skin of the wearer of the clothing to be evaluated; Step 4. Calculate the facial skin chrominance attributes of the apparel wearer to be evaluated in color space S2 , and ; Step 5, combine the facial skin tone attributes of the wearer of the clothing to be evaluated from Step 4. , and Calculate the perceived whiteness angle of facial skin tone. ; Step 6: Determine the angle of perceived whiteness of the facial skin of the wearer of the clothing to be evaluated. Whether it is within the set range, i.e., judgment ≤ Check if ≤ b is true. If not, exit; if true, proceed to the next step. Step 7: Collect observation and evaluation data on the whitening attribute of the clothing to be evaluated, and the gender of the evaluator. The value can be 1 or 2; Step 8: Combining the color and appearance attribute information of the garment to be evaluated from Steps 2, 5, and 7, and the perceived whiteness angle of the wearer's facial skin. Gender of the evaluator A quantitative model F is constructed to evaluate the whitening attribute of clothing, and the estimated value of the whitening attribute of the clothing to be evaluated is obtained, thereby realizing the whitening effect of clothing with different color appearance attributes. Where F is the estimated value of the clothing's skin-brightening attribute. The brightness of the garment to be evaluated, For the red-green component of the garment to be evaluated, For the yellow-blue component of the garment to be evaluated, The chroma of the garment to be evaluated. Let the hue angle of the garment to be evaluated be... The angle representing the perceived whiteness of the facial skin of the wearer of the clothing to be evaluated. The gender of the evaluator.

2. The method for predicting the whiteness of clothing colors as described in claim 1, characterized in that: The spectral reflectance of the clothing to be evaluated and the facial skin of the wearer of the clothing to be evaluated was measured using information in the 400nm-700nm band.

3. The method for predicting the whiteness of clothing colors as described in claim 1, characterized in that: Uniform color space S1 adopts Uniform color space; standard light source is D65.

4. The method for predicting the whiteness of clothing colors as described in claim 1, characterized in that: Uniform color space S2 adopts Color space.

5. The method for predicting the whiteness of clothing colors as described in claim 1, characterized in that: Facial skin tone perception whiteness angle The specific calculation formula is as follows; in, It is the arctangent function.

6. A system for predicting the whiteness of clothing colors, characterized in that, Includes the following modules: The clothing spectral reflectance acquisition module is used to measure the spectral reflectance of the clothing to be evaluated. The clothing color appearance attribute calculation module is used to calculate the color appearance attribute information of the clothing to be evaluated under a standard light source in a uniform color space S1. The facial skin reflectance acquisition module is used to measure the spectral reflectance of the facial skin of the wearer of the clothing to be evaluated. The facial skin tone attribute calculation module is used to calculate the facial skin tone attributes of the wearer of the clothing being evaluated in the color space S2. , and ; The facial skin tone perception whiteness angle calculation module is used to combine the facial skin color attributes of the wearer of the clothing being evaluated. , and Calculate the perceived whiteness angle of facial skin tone. ; The judgment module is used to determine the perceived whiteness angle of the facial skin of the wearer of the clothing to be evaluated. Whether it is within the set range, i.e., judgment ≤ Check if ≤ b is true. If not, exit; if true, proceed to the next module. The gender data collection module is used to collect the gender of the observers and evaluators of the whitening attribute of the clothing to be evaluated. The value can be 1 or 2; The clothing color whitening evaluation module combines the color appearance information of the clothing to be evaluated with the perceived whiteness angle of the wearer's facial skin. Gender of the evaluator A quantitative model F is constructed to evaluate the whitening attribute of clothing, and the estimated value of the whitening attribute of the clothing to be evaluated is obtained, thereby realizing the whitening effect of clothing with different color appearance attributes. Where F is the estimated value of the clothing's skin-brightening attribute. The brightness of the garment to be evaluated, For the red-green component of the garment to be evaluated, For the yellow-blue component of the garment to be evaluated, The chroma of the garment to be evaluated. Let the hue angle of the garment to be evaluated be... The angle representing the perceived whiteness of the facial skin of the wearer of the clothing to be evaluated. The gender of the evaluator.

7. The clothing color whiteness prediction system as described in claim 6, characterized in that: The spectral reflectance of the clothing to be evaluated and the facial skin of the wearer of the clothing to be evaluated was measured using information in the 400nm-700nm band.

8. The clothing color whiteness prediction system as described in claim 6, characterized in that: Uniform color space S1 adopts Uniform color space; standard light source is D65.

9. The clothing color whiteness prediction system as described in claim 6, characterized in that: Uniform color space S2 adopts Color space.

10. The clothing color whiteness prediction system as described in claim 6, characterized in that: Facial skin tone perception whiteness angle The specific calculation formula is as follows; in, It is the arctangent function.

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