CNCSCOLOR-based color matching perceptual prediction method
Through the color matching sensibility prediction method based on CNCSCOLOR, the color is converted into a nine-grid color matching diagram, combined with questionnaire scoring and multivariate linear regression analysis, the problem of inconsistent evaluation of color combination sensory styles is solved, and the accurate and convenient evaluation of color design is achieved.
Patent Information
- Application Number
- CN202411952192.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-27
- Publication Date
- 2025-04-25
AI Technical Summary
In the prior art, there is a lack of a unified method for evaluating the sensual style of color combinations, which leads to inconsistent evaluation results and is difficult to compare.
The color matching sensory prediction method based on CNCSCOLOR is adopted. By converting the product design color into a nine-grid color diagram, the benchmark nine-grid color scheme is designed, and the perceptual evaluation mean is obtained through questionnaire scoring, and multivariate linear regression analysis is performed based on color attribute values, series regression equations are established to predict the degree of perceptuality of color design.
The objective and accurate evaluation of the sensual style of color combination is achieved, which reduces the inconsistency of evaluation results and improves the comparability and convenience of evaluation.
Smart Images
Figure CN119887979A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the field of color technology, and in particular relates to a color matching perceptual prediction method based on CNCSCOLOR. Background Art
[0002] At present, there is no unified method for evaluating the perceptual style of color combinations. This makes it difficult to objectively and accurately evaluate the perceptual style of color combinations in practical applications. Different designers, users or experts may make subjective evaluations based on their own experience and preferences, resulting in inconsistency and difficulty in comparing evaluation results. Summary of the invention
[0003] The purpose of the present invention is to provide a color matching perceptual prediction method based on CNCSCOLOR, which solves the problem of inconsistent color matching perceptual results in the prior art.
[0004] The technical solution adopted by the present invention is a color matching perceptual prediction method based on CNCSCOLOR, which specifically includes the following steps: S1: Use the color design product in CNCSCOLOR to convert the product design color into a nine-square color matching diagram; S2: Design m benchmark nine-square color schemes and select 18 perceptual adjective pairs; S3: Use questionnaire scoring to score each perceptual adjective pair of each benchmark nine-square color scheme, and obtain 18m data groups, which are statistically analyzed using basic mean analysis to obtain the perceptual evaluation mean; S4: Define the color attribute values of the nine-grid color scheme based on CNCSCOLOR; S5: Based on the data of the mean value of perceptual evaluation and color attribute value, a data file was created and imported into SPSS for multivariate linear regression analysis to obtain a series of regression equations for 18 perceptual adjective pairs; S6: The nine-square color scheme obtained in S1 is used with the content of S4 to calculate the value of each color attribute, and the value of each color attribute is substituted into the corresponding perceptual adjective pair regression equation to predict the corresponding perceptual degree of the product color design.
[0005] The present invention is also characterized in that: The specific process of S1 is: According to the product design color, basic color J, coordination color X, and emphasis color Q are extracted. Among them, the emphasis color is the color with the smallest area, and it is arranged in the center grid of the nine-square grid. Among them, the basic color is the color with the largest area, and it is placed in the first row and second grid, the second row and one grid, the second row and three grids, and the third row and two grids of the nine-square grid. The coordination colors are the remaining colors, and they are arranged in the four corners of the nine-square grid.
[0006] The specific process of designing m benchmark nine-square color schemes in S2 is: The color scheme is divided into color combination, achromatic combination and color combination, based on the colors in CNCSCOLOR. The color combination is divided into: the first category, the lightness and chroma are the same, the hue is different, and the hue distance is 0, 1-3, 8-10, 11-12; the second category, the lightness is the same, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the third category is the same chroma, the lightness distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12 ; The fourth category, the lightness distance is 1-2, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the fifth category, the lightness distance is 4-5, the chroma is the same, the hue distance is 0, 1-3, 8-10, 11-12; the sixth category, the lightness is the same, the chroma distance is 4-5, and the hue distance is 0, 1-3, 8-10, 11-12; the seventh category, the lightness distance is 2-3, the chroma distance is 2-3, and the hue distance is 0, 1-3, 8-10, 11-12; Among them, the combination of achromatic color and chromatic color is divided into: the first category, the combination of black and chromatic color; the second category, the combination of white and chromatic color; the third category, the combination of gray and chromatic color; according to the above combination method, m nine-square color schemes are obtained.
[0007] The specific process of selecting 18 perceptual adjectives from S2 is as follows: Sentimental adjectives for evaluating colors were collected through the Internet, magazines and relevant papers, and 18 pairs of sentimental adjectives were obtained by selecting high-frequency word combinations. The sentimental adjective pairs include: simple-complex, feminine-masculine, heavy-light, sporty-quiet, exaggerated-restrained, mature-youthful, modern-classical, passionate-calm, avant-garde-classic, simple-gorgeous, soft-cold, elegant-tacky, pastoral-urban, romantic-realistic, casual-formal, steady-lively, individual-popular, intellectual-non-intellectual.
[0008] The specific process of S3 is: A scoring questionnaire was designed to score each perceptual adjective pair of each benchmark nine-square color scheme. The scoring scale adopted a 5-level scale, represented by "-2, -1, 0, 1, 2" respectively. The respondents were required to score 18 pairs of adjectives for each benchmark nine-square color scheme, and 18m data groups were obtained. The mean statistical analysis of the 18m data groups was performed using Excel software to obtain the mean of the perceptual evaluation.
[0009] The specific process of S4 is: Introduce hue h, lightness v and chroma c, and arrange and combine with basic color J, coordination color X and emphasis color Q to obtain basic color hue J h , basic color brightness J v、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h , Accent color brightness Q v and emphasize color Q c ; The value assignment rule for colored colors is that the hue value ranges from 1 to 20, the lightness ranges from 1 to 5, and the chroma ranges from 1 to 5; for achromatic colors, the hue value is 0, the lightness value is 1 to 5, and the chroma value is 0. The hue code in CNCSCOLOR ranges from 000-160, with a total of 20 hues, and the hue code is an integer multiple of 008 or an adjacent number of an integer multiple. The hue code of h01 in the hue circle is 160 or an adjacent code such as 001, 002, and the hue is assigned to 1; the hue code of h02 is 008 or an adjacent code such as 007, 009, and the hue is assigned to 2; and so on, the hue code is 016 or the adjacent code of h03, and the hue is assigned to 3...20; the lightness value range in CNCSCOLOR is 0-90, divided into five The brightness of 0-20 is classified as low brightness interval and assigned a value of 1; the brightness of 21-45 is classified as medium-low brightness interval and assigned a value of 2; the brightness of 46-60 is classified as medium brightness interval and assigned a value of 3; the brightness of 61-75 is classified as medium-high brightness interval and assigned a value of 4; the brightness of 76-90 is classified as high brightness interval and assigned a value of 5; the chroma value range of CNCSCOLOR is 0-37, which is divided into five intervals. The chroma of 0-07 is classified as low chroma interval and assigned a value of 1; the chroma of 08-17 is classified as medium-low chroma interval and assigned a value of 2; the chroma of 18-22 is classified as medium chroma interval and assigned a value of 3; the chroma of 23-27 is classified as medium-high chroma interval and assigned a value of 4; the chroma of 28-37 is classified as high chroma interval and assigned a value of 5.
[0010] The specific process of S5 is as follows: The equation for performing multiple linear regression analysis is
[0011] In the formula, the sensitivity value is the dependent variable AP, which is the sensitivity expressed by each adjective; , , , , , , , , is the independent variable, i.e., the color attribute value; is the regression constant; , …, is the regression coefficient; is a random error; the regression equation is statistically tested, including the goodness of fit test of the regression equation, the significance test of the regression equation and the significance test of the regression coefficient; a series of regression equations for 18 perceptual adjective pairs are obtained, and the series of regression equations are as follows:
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[0029] The specific process of S6 is as follows: Calculate the corresponding basic color hue J of the nine-square color matching diagram obtained in step 1 h , basic color brightness J v 、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h, Accent color brightness Q v and emphasize color Q c , by substituting these parameters into the series regression equation to calculate the values, the corresponding degree of sensibility of the product color design can be predicted.
[0030] The beneficial effects of the present invention are as follows: the color matching perceptual prediction method based on CNCSCOLOR of the present invention adopts a multiple linear regression equation, and substituting the attribute parameters of the color into it can help designers predict the perceptual impression of the color matching scheme, and it is easy to use. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1 It is the nine-square color matching diagram of step 1 in embodiment 6 of the present invention; DETAILED DESCRIPTION The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.
[0032] The color matching perceptual prediction method based on CNCSCOLOR specifically includes the following steps: S1: Use the color design product in CNCSCOLOR to convert the product design color into a nine-square color matching diagram; The specific process is: according to the product design color, basic color J, coordination color X, and emphasis color Q are extracted, among which the emphasis color is the color with the smallest area, and it is arranged in the center grid of the nine-square grid. Among them, the basic color is the color with the largest area, and it is placed in the first row and second grid, the second row and one grid, the second row and three grids, and the third row and two grids of the nine-square grid. The coordination colors are the remaining colors, which are arranged in the four corners of the nine-square grid.
[0033] S2: Design m benchmark nine-square color schemes and select 18 perceptual adjective pairs; The specific process of designing m benchmark nine-square color schemes in S2 is as follows: the color schemes are divided into color combinations, achromatic combinations and color combinations, with the colors in CNCSCOLOR as the benchmark, among which the color combinations are divided into: the first category, the lightness and chroma are the same, the hue is different, and the hue distance is 0, 1-3, 8-10, 11-12; the second category, the lightness is the same, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the third category is the same chroma, the lightness distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12 , 8-10, 11-12; the fourth category, the lightness distance is 1-2, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the fifth category, the lightness distance is 4-5, the chroma is the same, the hue distance is 0, 1-3, 8-10, 11-12; the sixth category, the lightness is the same, the chroma distance is 4-5, and the hue distance is 0, 1-3, 8-10, 11-12; the seventh category, the lightness distance is 2-3, the chroma distance is 2-3, and the hue distance is 0, 1-3, 8-10, 11-12; Among them, the combination of achromatic color and chromatic color is divided into: the first category, the combination of black and chromatic color; the second category, the combination of white and chromatic color; the third category, the combination of gray and chromatic color; according to the above combination method, m nine-square color schemes are obtained.
[0034] The specific process of selecting 18 perceptual adjectives from S2 is as follows: perceptual adjectives for evaluating colors are collected through the Internet, magazines and related papers, and 18 perceptual adjective pairs are obtained by selecting high-frequency word combinations. The perceptual adjective pairs include: simple-complex, feminine-masculine, heavy-light, sporty-quiet, exaggerated-restrained, mature-young, modern-classical, passionate-calm, avant-garde-classic, simple-gorgeous, soft-cold, elegant-tacky, pastoral-urban, romantic-realistic, casual-formal, steady-lively, individual-popular, intellectual-non-intellectual.
[0035] S3: Use questionnaire scoring to score each perceptual adjective pair of each benchmark nine-square color scheme, and obtain 18m data groups, which are statistically analyzed using basic mean analysis to obtain the perceptual evaluation mean; The specific process of S3 is: design a questionnaire scoring system, score each perceptual adjective pair of each benchmark nine-square color scheme, and use a 5-level scale, represented by "-2, -1, 0, 1, 2" respectively. The respondents need to score 18 pairs of adjectives for each benchmark nine-square color scheme, and obtain 18m data groups. Use Excel software to perform mean statistical analysis on the 18m data groups to obtain the mean of perceptual evaluation.
[0036] S4: Define the color attribute values of the nine-grid color scheme based on CNCSCOLOR; The specific process of S4 is: introduce hue h, lightness v and chroma c, and arrange and combine with basic color J, coordination color X and emphasis color Q to obtain basic color hue J h , basic color brightness J v 、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h , Accent color brightness Q v and emphasize color Q c ; The value assignment rule for colored colors is that the hue value ranges from 1 to 20, the lightness ranges from 1 to 5, and the chroma ranges from 1 to 5; for achromatic colors, the hue value is 0, the lightness value is 1 to 5, and the chroma value is 0. The hue code in CNCSCOLOR ranges from 000-160, with a total of 20 hues, and the hue code is an integer multiple of 008 or an adjacent number of an integer multiple. The hue code of h01 in the hue circle is 160 or an adjacent code such as 001, 002, and the hue is assigned to 1; the hue code of h02 is 008 or an adjacent code such as 007, 009, and the hue is assigned to 2; and so on, the hue code is 016 or the adjacent code of h03, and the hue is assigned to 3...20; the lightness value range in CNCSCOLOR is 0-90, divided into five The brightness of 0-20 is classified as low brightness interval and assigned a value of 1; the brightness of 21-45 is classified as medium-low brightness interval and assigned a value of 2; the brightness of 46-60 is classified as medium brightness interval and assigned a value of 3; the brightness of 61-75 is classified as medium-high brightness interval and assigned a value of 4; the brightness of 76-90 is classified as high brightness interval and assigned a value of 5; the chroma value range of CNCSCOLOR is 0-37, which is divided into five intervals. The chroma of 0-07 is classified as low chroma interval and assigned a value of 1; the chroma of 08-17 is classified as medium-low chroma interval and assigned a value of 2; the chroma of 18-22 is classified as medium chroma interval and assigned a value of 3; the chroma of 23-27 is classified as medium-high chroma interval and assigned a value of 4; the chroma of 28-37 is classified as high chroma interval and assigned a value of 5.
[0037] S5: Based on the data of the mean value of perceptual evaluation and color attribute value, a data file was created and imported into SPSS for multivariate linear regression analysis to obtain a series of regression equations for 18 perceptual adjective pairs; The specific process of S5 is: The equation for performing multivariate linear regression analysis is In the formula, the sensitivity value is the dependent variable AP, which is the sensitivity expressed by each adjective; , , , , , , , , is the independent variable, i.e., the color attribute value; is the regression constant; , …, is the regression coefficient; is a random error; the regression equation is statistically tested, including the goodness of fit test of the regression equation, the significance test of the regression equation and the significance test of the regression coefficient; a series of regression equations for 18 perceptual adjective pairs are obtained, and the series of regression equations are as follows:
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[0055] S6: The nine-square color scheme obtained in S1 is used with the content of S4 to calculate the value of each color attribute, and the value of each color attribute is substituted into the corresponding perceptual adjective pair regression equation to predict the corresponding perceptual degree of the product color design.
[0056] The specific process of S6 is: calculate the hue J of the corresponding basic color from the nine-square color matching diagram obtained in step 1 h , basic color brightness J v 、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h , Accent color brightness Q vand emphasize color Q c , by substituting these parameters into the series regression equation to calculate the values, the corresponding degree of sensibility of the product color design can be predicted.
[0057] Example 1 The color matching perceptual prediction method based on CNCSCOLOR proposed in this embodiment specifically includes the following steps: S1: Use the color design product in CNCSCOLOR to convert the product design color into a nine-square color matching diagram; S2: Design m benchmark nine-square color schemes and select 18 perceptual adjective pairs; S3: Use questionnaire scoring to score each perceptual adjective pair of each benchmark nine-square color scheme, and obtain 18m data groups, which are statistically analyzed using basic mean analysis to obtain the perceptual evaluation mean; S4: Define the color attribute values of the nine-grid color scheme based on CNCSCOLOR; S5: Based on the data of the mean value of perceptual evaluation and color attribute value, a data file was created and imported into SPSS for multivariate linear regression analysis to obtain a series of regression equations for 18 perceptual adjective pairs; S6: The nine-square color scheme obtained in S1 is used with the content of S4 to calculate the value of each color attribute, and the value of each color attribute is substituted into the corresponding perceptual adjective pair regression equation to predict the corresponding perceptual degree of the product color design.
[0058] Example 2 The color matching perceptual prediction method based on CNCSCOLOR proposed in this embodiment specifically includes the following steps: S1: Use the color design product in CNCSCOLOR to convert the product design color into a nine-square color matching diagram; The specific process of S1 is: according to the product design color, the basic color J, the coordinated color X, and the emphasized color Q are extracted, among which the emphasized color is the color with the smallest area, and it is arranged in the central grid of the nine-square grid. The basic color is the color with the largest area, and it is placed in the first row and second grid, the second row and one grid, the second row and three grids, and the coordinated colors are the remaining colors, which are arranged in the four corners of the nine-square grid.
[0059] S2: Design m benchmark nine-square color schemes and select 18 perceptual adjective pairs; The specific process of designing m benchmark nine-square color schemes in S2 is as follows: the color schemes are divided into color combinations, achromatic combinations and color combinations, with the colors in CNCSCOLOR as the benchmark, among which the color combinations are divided into: the first category, the lightness and chroma are the same, the hue is different, and the hue distance is 0, 1-3, 8-10, 11-12; the second category, the lightness is the same, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the third category is the same chroma, the lightness distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12 , 8-10, 11-12; the fourth category, the lightness distance is 1-2, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the fifth category, the lightness distance is 4-5, the chroma is the same, the hue distance is 0, 1-3, 8-10, 11-12; the sixth category, the lightness is the same, the chroma distance is 4-5, and the hue distance is 0, 1-3, 8-10, 11-12; the seventh category, the lightness distance is 2-3, the chroma distance is 2-3, and the hue distance is 0, 1-3, 8-10, 11-12; Among them, the combination of achromatic color and chromatic color is divided into: the first category, the combination of black and chromatic color; the second category, the combination of white and chromatic color; the third category, the combination of gray and chromatic color; according to the above combination method, m nine-square color schemes are obtained.
[0060] The specific process of selecting 18 perceptual adjectives from S2 is as follows: perceptual adjectives for evaluating colors are collected through the Internet, magazines and related papers, and 18 perceptual adjective pairs are obtained by selecting high-frequency word combinations. The perceptual adjective pairs include: simple-complex, feminine-masculine, heavy-light, sporty-quiet, exaggerated-restrained, mature-young, modern-classical, passionate-calm, avant-garde-classic, simple-gorgeous, soft-cold, elegant-tacky, pastoral-urban, romantic-realistic, casual-formal, steady-lively, individual-popular, intellectual-non-intellectual.
[0061] S3: Use questionnaire scoring to score each perceptual adjective pair of each benchmark nine-square color scheme, and obtain 18m data groups, which are statistically analyzed using basic mean analysis to obtain the perceptual evaluation mean; S4: Define the color attribute values of the nine-grid color scheme based on CNCSCOLOR; S5: Based on the data of the mean value of perceptual evaluation and color attribute value, a data file was created and imported into SPSS for multivariate linear regression analysis to obtain a series of regression equations for 18 perceptual adjective pairs; S6: The nine-square color scheme obtained in S1 is used with the content of S4 to calculate the value of each color attribute, and the value of each color attribute is substituted into the corresponding perceptual adjective pair regression equation to predict the corresponding perceptual degree of the product color design.
[0062] Example 3 The color matching perceptual prediction method based on CNCSCOLOR proposed in this embodiment specifically includes the following steps: S1: Use the color design product in CNCSCOLOR to convert the product design color into a nine-square color matching diagram; The specific process of S1 is: according to the product design color, the basic color J, the coordinated color X, and the emphasized color Q are extracted, among which the emphasized color is the color with the smallest area, and it is arranged in the central grid of the nine-square grid. The basic color is the color with the largest area, and it is placed in the first row and second grid, the second row and one grid, the second row and three grids, and the coordinated colors are the remaining colors, which are arranged in the four corners of the nine-square grid.
[0063] S2: Design m benchmark nine-square color schemes and select 18 perceptual adjective pairs; The specific process of designing m benchmark nine-square color schemes in S2 is as follows: the color schemes are divided into color combinations, achromatic combinations and color combinations, with the colors in CNCSCOLOR as the benchmark, among which the color combinations are divided into: the first category, the lightness and chroma are the same, the hue is different, and the hue distance is 0, 1-3, 8-10, 11-12; the second category, the lightness is the same, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the third category is the same chroma, the lightness distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12 , 8-10, 11-12; the fourth category, the lightness distance is 1-2, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the fifth category, the lightness distance is 4-5, the chroma is the same, the hue distance is 0, 1-3, 8-10, 11-12; the sixth category, the lightness is the same, the chroma distance is 4-5, and the hue distance is 0, 1-3, 8-10, 11-12; the seventh category, the lightness distance is 2-3, the chroma distance is 2-3, and the hue distance is 0, 1-3, 8-10, 11-12; Among them, the combination of achromatic color and chromatic color is divided into: the first category, the combination of black and chromatic color; the second category, the combination of white and chromatic color; the third category, the combination of gray and chromatic color; according to the above combination method, m nine-square color schemes are obtained.
[0064] The specific process of selecting 18 perceptual adjectives from S2 is as follows: perceptual adjectives for evaluating colors are collected through the Internet, magazines and related papers, and 18 perceptual adjective pairs are obtained by selecting high-frequency word combinations. The perceptual adjective pairs include: simple-complex, feminine-masculine, heavy-light, sporty-quiet, exaggerated-restrained, mature-young, modern-classical, passionate-calm, avant-garde-classic, simple-gorgeous, soft-cold, elegant-tacky, pastoral-urban, romantic-realistic, casual-formal, steady-lively, individual-popular, intellectual-non-intellectual.
[0065] S3: Use questionnaire scoring to score each perceptual adjective pair of each benchmark nine-square color scheme, and obtain 18m data groups, which are statistically analyzed using basic mean analysis to obtain the perceptual evaluation mean; The specific process of S3 is: design a questionnaire scoring system, score each perceptual adjective pair of each benchmark nine-square color scheme, and use a 5-level scale, represented by "-2, -1, 0, 1, 2" respectively. The respondents need to score 18 pairs of adjectives for each benchmark nine-square color scheme, and obtain 18m data groups. Use Excel software to perform mean statistical analysis on the 18m data groups to obtain the mean of perceptual evaluation.
[0066] S4: Define the color attribute values of the nine-grid color scheme based on CNCSCOLOR; S5: Based on the data of the mean value of perceptual evaluation and color attribute value, a data file was created and imported into SPSS for multivariate linear regression analysis to obtain a series of regression equations for 18 perceptual adjective pairs; S6: The nine-square color scheme obtained in S1 is used with the content of S4 to calculate the value of each color attribute, and the value of each color attribute is substituted into the corresponding perceptual adjective pair regression equation to predict the corresponding perceptual degree of the product color design.
[0067] Example 4 The color matching perceptual prediction method based on CNCSCOLOR proposed in this embodiment specifically includes the following steps: S1: Use the color design product in CNCSCOLOR to convert the product design color into a nine-square color matching diagram; The specific process of S1 is: according to the product design color, the basic color J, the coordinated color X, and the emphasized color Q are extracted, among which the emphasized color is the color with the smallest area, and it is arranged in the central grid of the nine-square grid. The basic color is the color with the largest area, and it is placed in the first row and second grid, the second row and one grid, the second row and three grids, and the coordinated colors are the remaining colors, which are arranged in the four corners of the nine-square grid.
[0068] S2: Design m benchmark nine-square color schemes and select 18 perceptual adjective pairs; The specific process of designing m benchmark nine-square color schemes in S2 is as follows: the color schemes are divided into color combinations, achromatic combinations and color combinations, with the colors in CNCSCOLOR as the benchmark, among which the color combinations are divided into: the first category, the lightness and chroma are the same, the hue is different, and the hue distance is 0, 1-3, 8-10, 11-12; the second category, the lightness is the same, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the third category is the same chroma, the lightness distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12 , 8-10, 11-12; the fourth category, the lightness distance is 1-2, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the fifth category, the lightness distance is 4-5, the chroma is the same, the hue distance is 0, 1-3, 8-10, 11-12; the sixth category, the lightness is the same, the chroma distance is 4-5, and the hue distance is 0, 1-3, 8-10, 11-12; the seventh category, the lightness distance is 2-3, the chroma distance is 2-3, and the hue distance is 0, 1-3, 8-10, 11-12; Among them, the combination of achromatic color and chromatic color is divided into: the first category, the combination of black and chromatic color; the second category, the combination of white and chromatic color; the third category, the combination of gray and chromatic color; according to the above combination method, m nine-square color schemes are obtained.
[0069] The specific process of selecting 18 perceptual adjectives from S2 is as follows: perceptual adjectives for evaluating colors are collected through the Internet, magazines and related papers, and 18 perceptual adjective pairs are obtained by selecting high-frequency word combinations. The perceptual adjective pairs include: simple-complex, feminine-masculine, heavy-light, sporty-quiet, exaggerated-restrained, mature-young, modern-classical, passionate-calm, avant-garde-classic, simple-gorgeous, soft-cold, elegant-tacky, pastoral-urban, romantic-realistic, casual-formal, steady-lively, individual-popular, intellectual-non-intellectual.
[0070] S3: Use questionnaire scoring to score each perceptual adjective pair of each benchmark nine-square color scheme, and obtain 18m data groups, which are statistically analyzed using basic mean analysis to obtain the perceptual evaluation mean; The specific process of S3 is: design a questionnaire scoring system, score each perceptual adjective pair of each benchmark nine-square color scheme, and use a 5-level scale, represented by "-2, -1, 0, 1, 2" respectively. The respondents need to score 18 pairs of adjectives for each benchmark nine-square color scheme, and obtain 18m data groups. Use Excel software to perform mean statistical analysis on the 18m data groups to obtain the mean of perceptual evaluation.
[0071] S4: Define the color attribute values of the nine-grid color scheme based on CNCSCOLOR; The specific process of S4 is: introduce hue h, lightness v and chroma c, and arrange and combine with basic color J, coordination color X and emphasis color Q to obtain basic color hue J h , basic color brightness J v 、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h , Accent color brightness Q v and emphasize color Q c ; The value assignment rule for colored colors is that the hue value ranges from 1 to 20, the lightness ranges from 1 to 5, and the chroma ranges from 1 to 5; for achromatic colors, the hue value is 0, the lightness value is 1 to 5, and the chroma value is 0. The hue code in CNCSCOLOR ranges from 000-160, with a total of 20 hues, and the hue code is an integer multiple of 008 or an adjacent number of an integer multiple. The hue code of h01 in the hue circle is 160 or an adjacent code such as 001, 002, and the hue is assigned to 1; the hue code of h02 is 008 or an adjacent code such as 007, 009, and the hue is assigned to 2; and so on, the hue code is 016 or the adjacent code of h03, and the hue is assigned to 3...20; the lightness value range in CNCSCOLOR is 0-90, divided into five The brightness of 0-20 is classified as low brightness interval and assigned a value of 1; the brightness of 21-45 is classified as medium-low brightness interval and assigned a value of 2; the brightness of 46-60 is classified as medium brightness interval and assigned a value of 3; the brightness of 61-75 is classified as medium-high brightness interval and assigned a value of 4; the brightness of 76-90 is classified as high brightness interval and assigned a value of 5; the chroma value range of CNCSCOLOR is 0-37, which is divided into five intervals. The chroma of 0-07 is classified as low chroma interval and assigned a value of 1; the chroma of 08-17 is classified as medium-low chroma interval and assigned a value of 2; the chroma of 18-22 is classified as medium chroma interval and assigned a value of 3; the chroma of 23-27 is classified as medium-high chroma interval and assigned a value of 4; the chroma of 28-37 is classified as high chroma interval and assigned a value of 5.
[0072] S5: Based on the data of the mean value of perceptual evaluation and color attribute value, a data file was created and imported into SPSS for multivariate linear regression analysis to obtain a series of regression equations for 18 perceptual adjective pairs; S6: The nine-square color scheme obtained in S1 is used with the content of S4 to calculate the value of each color attribute, and the value of each color attribute is substituted into the corresponding perceptual adjective pair regression equation to predict the corresponding perceptual degree of the product color design.
[0073] Example 5 The color matching perceptual prediction method based on CNCSCOLOR proposed in this embodiment specifically includes the following steps: S1: Use the color design product in CNCSCOLOR to convert the product design color into a nine-square color matching diagram; The specific process of S1 is: according to the product design color, the basic color J, the coordinated color X, and the emphasized color Q are extracted, among which the emphasized color is the color with the smallest area, and it is arranged in the central grid of the nine-square grid. The basic color is the color with the largest area, and it is placed in the first row and second grid, the second row and one grid, the second row and three grids, and the coordinated colors are the remaining colors, which are arranged in the four corners of the nine-square grid.
[0074] S2: Design m benchmark nine-square color schemes and select 18 perceptual adjective pairs; The specific process of designing m benchmark nine-square color schemes in S2 is as follows: the color schemes are divided into color combinations, achromatic combinations and color combinations, with the colors in CNCSCOLOR as the benchmark, among which the color combinations are divided into: the first category, the lightness and chroma are the same, the hue is different, and the hue distance is 0, 1-3, 8-10, 11-12; the second category, the lightness is the same, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the third category is the same chroma, the lightness distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12 , 8-10, 11-12; the fourth category, the lightness distance is 1-2, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the fifth category, the lightness distance is 4-5, the chroma is the same, the hue distance is 0, 1-3, 8-10, 11-12; the sixth category, the lightness is the same, the chroma distance is 4-5, and the hue distance is 0, 1-3, 8-10, 11-12; the seventh category, the lightness distance is 2-3, the chroma distance is 2-3, and the hue distance is 0, 1-3, 8-10, 11-12; Among them, the combination of achromatic color and chromatic color is divided into: the first category, the combination of black and chromatic color; the second category, the combination of white and chromatic color; the third category, the combination of gray and chromatic color; according to the above combination method, m nine-square color schemes are obtained.
[0075] The specific process of selecting 18 perceptual adjectives from S2 is as follows: perceptual adjectives for evaluating colors are collected through the Internet, magazines and related papers, and 18 perceptual adjective pairs are obtained by selecting high-frequency word combinations. The perceptual adjective pairs include: simple-complex, feminine-masculine, heavy-light, sporty-quiet, exaggerated-restrained, mature-young, modern-classical, passionate-calm, avant-garde-classic, simple-gorgeous, soft-cold, elegant-tacky, pastoral-urban, romantic-realistic, casual-formal, steady-lively, individual-popular, intellectual-non-intellectual.
[0076] S3: Use questionnaire scoring to score each perceptual adjective pair of each benchmark nine-square color scheme, and obtain 18m data groups, which are statistically analyzed using basic mean analysis to obtain the perceptual evaluation mean; The specific process of S3 is: design a questionnaire scoring system, score each perceptual adjective pair of each benchmark nine-square color scheme, and use a 5-level scale, represented by "-2, -1, 0, 1, 2" respectively. The respondents need to score 18 pairs of adjectives for each benchmark nine-square color scheme, and obtain 18m data groups. Use Excel software to perform mean statistical analysis on the 18m data groups to obtain the mean of perceptual evaluation.
[0077] S4: Define the color attribute values of the nine-grid color scheme based on CNCSCOLOR; The specific process of S4 is: introduce hue h, lightness v and chroma c, and arrange and combine with basic color J, coordination color X and emphasis color Q to obtain basic color hue J h , basic color brightness J v 、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h , Accent color brightness Q v and emphasize color Q c ; The value assignment rule for colored colors is that the hue value ranges from 1 to 20, the lightness ranges from 1 to 5, and the chroma ranges from 1 to 5; for achromatic colors, the hue value is 0, the lightness value is 1 to 5, and the chroma value is 0. The hue code in CNCSCOLOR ranges from 000-160, with a total of 20 hues, and the hue code is an integer multiple of 008 or an adjacent number of an integer multiple. The hue code of h01 in the hue circle is 160 or an adjacent code such as 001, 002, and the hue is assigned to 1; the hue code of h02 is 008 or an adjacent code such as 007, 009, and the hue is assigned to 2; and so on, the hue code is 016 or the adjacent code of h03, and the hue is assigned to 3...20; the lightness value range in CNCSCOLOR is 0-90, divided into five The brightness of 0-20 is classified as low brightness interval and assigned a value of 1; the brightness of 21-45 is classified as medium-low brightness interval and assigned a value of 2; the brightness of 46-60 is classified as medium brightness interval and assigned a value of 3; the brightness of 61-75 is classified as medium-high brightness interval and assigned a value of 4; the brightness of 76-90 is classified as high brightness interval and assigned a value of 5; the chroma value range of CNCSCOLOR is 0-37, which is divided into five intervals. The chroma of 0-07 is classified as low chroma interval and assigned a value of 1; the chroma of 08-17 is classified as medium-low chroma interval and assigned a value of 2; the chroma of 18-22 is classified as medium chroma interval and assigned a value of 3; the chroma of 23-27 is classified as medium-high chroma interval and assigned a value of 4; the chroma of 28-37 is classified as high chroma interval and assigned a value of 5.
[0078] S5: Based on the data of the mean value of perceptual evaluation and color attribute value, a data file was created and imported into SPSS for multivariate linear regression analysis to obtain a series of regression equations for 18 perceptual adjective pairs; The specific process of S5 is: The equation for performing multivariate linear regression analysis is In the formula, the sensitivity value is the dependent variable AP, which is the sensitivity expressed by each adjective; , , , , , , , , is the independent variable, i.e., the color attribute value; is the regression constant; , …, is the regression coefficient; is a random error; the regression equation is statistically tested, including the goodness of fit test of the regression equation, the significance test of the regression equation and the significance test of the regression coefficient; a series of regression equations for 18 perceptual adjective pairs are obtained, and the series of regression equations are as follows:
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[0096] S6: The nine-square color scheme obtained in S1 is used with the content of S4 to calculate the value of each color attribute, and the value of each color attribute is substituted into the corresponding perceptual adjective pair regression equation to predict the corresponding perceptual degree of the product color design.
[0097] The specific process of S6 is: calculate the hue J of the corresponding basic color from the nine-square color matching diagram obtained in step 1 h , basic color brightness J v 、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h , Accent color brightness Q vand emphasize color Q c , by substituting these parameters into the series regression equation to calculate the values, the corresponding degree of sensibility of the product color design can be predicted.
[0098] Example 6 The color matching perceptual prediction method based on CNCSCOLOR proposed in this embodiment specifically includes the following steps: S1: Use the color design product in CNCSCOLOR to convert the product design color into a nine-square color matching diagram, such as Figure 1 As shown; The specific process of S1 is: according to the product design color, the basic color J, the coordinated color X, and the emphasized color Q are extracted, among which the emphasized color is the color with the smallest area, and it is arranged in the central grid of the nine-square grid. The basic color is the color with the largest area, and it is placed in the first row and second grid, the second row and one grid, the second row and three grids, and the coordinated colors are the remaining colors, which are arranged in the four corners of the nine-square grid.
[0099] S2: Design 40 benchmark nine-square color schemes and select 18 emotional adjective pairs; The specific process of designing 40 benchmark nine-square color schemes in S2 is as follows: the color schemes are divided into color combinations, achromatic combinations and colored combinations, with the colors in CNCSCOLOR as the benchmark, among which the colored combinations are divided into: the first category, the lightness and chroma are the same, the hue is different, and the hue distance is 0, 1-3, 8-10, 11-12; the second category, the lightness is the same, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the third category, the chroma is the same, the lightness distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12 ~10, 11~12; the fourth category, the lightness distance is 1~2, the chroma distance is 1~2, and the hue distance is 0, 1~3, 8~10, 11~12; the fifth category, the lightness distance is 4~5, the chroma is the same, and the hue distance is 0, 1~3, 8~10, 11~12; the sixth category, the lightness is the same, the chroma distance is 4~5, and the hue distance is 0, 1~3, 8~10, 11~12; the seventh category, the lightness distance is 2~3, the chroma distance is 2~3, and the hue distance is 0, 1~3, 8~10, 11~12; as shown in Table 1: Table 1 Specific values of hue, lightness and chroma
[0100] Among them, the combination of achromatic color and colorful color is divided into: the first category, the combination of black and colorful color; the second category, the combination of white and colorful color; the third category, the combination of gray and colorful color; based on the above combination methods, 40 nine-square color schemes are obtained.
[0101] The specific process of selecting 18 perceptual adjectives from S2 is as follows: perceptual adjectives for evaluating colors are collected through the Internet, magazines and related papers, and 18 perceptual adjective pairs are obtained by selecting high-frequency word combinations. The perceptual adjective pairs include: simple-complex, feminine-masculine, heavy-light, sporty-quiet, exaggerated-restrained, mature-young, modern-classical, passionate-calm, avant-garde-classic, simple-gorgeous, soft-cold, elegant-tacky, pastoral-urban, romantic-realistic, casual-formal, steady-lively, individual-popular, intellectual-non-intellectual.
[0102] S3: Use questionnaire scoring to score each perceptual adjective pair of each benchmark nine-square color scheme, and obtain 18m data groups, which are statistically analyzed using basic mean analysis to obtain the perceptual evaluation mean; The specific process of S3 is as follows: design a questionnaire scoring system, score each perceptual adjective pair of each benchmark nine-square color scheme, and use a 5-level scale, represented by "-2, -1, 0, 1, 2" respectively. The respondents need to score 18 pairs of adjectives for each benchmark nine-square color scheme, and obtain 18m data groups. Use Excel software to perform mean statistical analysis on the 18m data groups to obtain the perceptual evaluation mean, as shown in Table 2.
[0103] Table 2 Color schemes and perceptual evaluation mean
[0104] S4: Define the color attribute values of the nine-grid color scheme based on CNCSCOLOR; The specific process of S4 is: introduce hue h, lightness v and chroma c, and arrange and combine with basic color J, coordination color X and emphasis color Q to obtain basic color hue J h , basic color brightness J v 、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h , Accent color brightness Q v and emphasize color Q c ; The value assignment rule for colored colors is that the hue value ranges from 1 to 20, the lightness ranges from 1 to 5, and the chroma ranges from 1 to 5; for achromatic colors, the hue value is 0, the lightness value is 1 to 5, and the chroma value is 0. The hue code in CNCSCOLOR ranges from 000-160, with a total of 20 hues, and the hue code is an integer multiple of 008 or an adjacent number of an integer multiple. The hue code of h01 in the hue circle is 160 or an adjacent code such as 001, 002, and the hue is assigned to 1; the hue code of h02 is 008 or an adjacent code such as 007, 009, and the hue is assigned to 2; and so on, the hue code is 016 or the adjacent code of h03, and the hue is assigned to 3...20; the lightness value range in CNCSCOLOR is 0-90, divided into five The brightness of 0-20 is classified as low brightness interval and assigned a value of 1; the brightness of 21-45 is classified as medium-low brightness interval and assigned a value of 2; the brightness of 46-60 is classified as medium brightness interval and assigned a value of 3; the brightness of 61-75 is classified as medium-high brightness interval and assigned a value of 4; the brightness of 76-90 is classified as high brightness interval and assigned a value of 5; the chroma value range of CNCSCOLOR is 0-37, which is divided into five intervals. The chroma of 0-07 is classified as low chroma interval and assigned a value of 1; the chroma of 08-17 is classified as medium-low chroma interval and assigned a value of 2; the chroma of 18-22 is classified as medium chroma interval and assigned a value of 3; the chroma of 23-27 is classified as medium-high chroma interval and assigned a value of 4; the chroma of 28-37 is classified as high chroma interval and assigned a value of 5.
[0105] S5: Based on the data of the mean value of perceptual evaluation and color attribute value, a data file was created and imported into SPSS for multivariate linear regression analysis to obtain a series of regression equations for 18 perceptual adjective pairs; The specific process of S5 is: The equation for performing multivariate linear regression analysis is In the formula, the sensitivity value is the dependent variable AP, which is the sensitivity expressed by each adjective; , , , , , , , , is the independent variable, i.e., the color attribute value; is the regression constant; , …, is the regression coefficient; is a random error; the data of the independent variable color attribute value is summarized as shown in Table 3. Table 3 Data arrangement of independent variable color attributes
[0106] The regression equation was statistically tested, including goodness of fit test, significance test and regression coefficient significance test. The series regression equations of 18 perceptual adjective pairs were obtained. The series regression equations are as follows:
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[0124] S6: The nine-square color scheme obtained in S1 is used with the content of S4 to calculate the value of each color attribute, and the value of each color attribute is substituted into the corresponding perceptual adjective pair regression equation to predict the corresponding perceptual degree of the product color design.
[0125] like Figure 1 As shown, the color design in CNCSCOLOR is used as Figure 1 The product is used to predict its degree of “heavy-light”, and the value of each color attribute is calculated using the content of S4.v is 65, the 4th interval of brightness, assigned a value of 4; J v is 85, the fifth interval of brightness, assigned a value of 5; X v is 90, the fifth interval of brightness, assigned a value of 5; Q c The value of the second interval of chroma is 17, and the value is 2. The equation corresponding to "heavy-light" is the AP03 equation, and the above color attribute values are substituted into it for calculation. The result is 1.23. This means that the sensibility of the color scheme is "light". The predicted result is consistent with the actual situation.
Claims
1. The color matching perceptual prediction method based on CNCSCOLOR is characterized by: The specific steps include: S1: Use the color design product in CNCSCOLOR to convert the product design color into a nine-square color matching diagram; S2: Design m benchmark nine-square color schemes and select 18 perceptual adjective pairs; S3: using questionnaire scoring to score each perceptual adjective pair of each of the benchmark nine-square color schemes, obtaining 18m data groups, and performing statistical analysis on them using basic mean analysis to obtain a perceptual evaluation mean; S4: Define the color attribute values of the nine-grid color scheme based on CNCSCOLOR; S5: Based on the data of the mean value of perceptual evaluation and color attribute value, a data file was created and imported into SPSS for multivariate linear regression analysis to obtain a series of regression equations for 18 perceptual adjective pairs; S6: The nine-square color scheme obtained in S1 is used with the content of S4 to calculate the value of each color attribute, and the value of each color attribute is substituted into the corresponding perceptual adjective pair regression equation to predict the corresponding perceptual degree of the product color design.
2. The color matching perceptual prediction method based on CNCSCOLOR according to claim 1, characterized in that: The specific process of S1 is as follows: According to the product design color, basic color J, coordination color X, and emphasis color Q are extracted. Among them, the emphasis color is the color with the smallest area, and it is arranged in the center grid of the nine-square grid. Among them, the basic color is the color with the largest area, and it is placed in the first row and second grid, the second row and one grid, the second row and three grids, and the third row and two grids of the nine-square grid. The coordination colors are the remaining colors, and they are arranged in the four corners of the nine-square grid.
3. The color matching perceptual prediction method based on CNCSCOLOR according to claim 2, characterized in that: The specific process of designing m benchmark nine-square color schemes in S2 is as follows: The color scheme is divided into color combination, achromatic combination and color combination, based on the colors in CNCSCOLOR. The color combination is divided into: the first category, the lightness and chroma are the same, the hue is different, and the hue distance is 0, 1-3, 8-10, 11-12; the second category, the lightness is the same, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the third category is the same chroma, the lightness distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12 ; The fourth category, the lightness distance is 1-2, the chroma distance is 1-2, and the hue distance is 0, 1-3, 8-10, 11-12; the fifth category, the lightness distance is 4-5, the chroma is the same, the hue distance is 0, 1-3, 8-10, 11-12; the sixth category, the lightness is the same, the chroma distance is 4-5, and the hue distance is 0, 1-3, 8-10, 11-12; the seventh category, the lightness distance is 2-3, the chroma distance is 2-3, and the hue distance is 0, 1-3, 8-10, 11-12; Among them, the combination of achromatic color and chromatic color is divided into: the first category, the combination of black and chromatic color; the second category, the combination of white and chromatic color; the third category, the combination of gray and chromatic color; according to the above combination method, m nine-square color schemes are obtained.
4. The color matching perceptual prediction method based on CNCSCOLOR according to claim 3, characterized in that: The specific process of selecting 18 perceptual adjectives in S2 is as follows: Sensual adjectives for evaluating colors were collected through the Internet, magazines and relevant papers, and 18 pairs of perceptual adjectives were obtained by selecting high-frequency word combinations, including: simple-complex, feminine-masculine, heavy-light, sporty-quiet, exaggerated-restrained, mature-youthful, modern-classical, passionate-calm, avant-garde-classic, simple-gorgeous, soft-cold, elegant-tacky, pastoral-urban, romantic-realistic, casual-formal, steady-lively, individual-popular, intellectual-non-intellectual.
5. The color matching perceptual prediction method based on CNCSCOLOR according to claim 4, characterized in that: The specific process of S3 is as follows: A questionnaire scoring was designed to score each perceptual adjective pair of each of the benchmark nine-square color schemes. The scoring evaluation scale adopted a 5-level scale, represented by "-2, -1, 0, 1, 2" respectively. The respondents were required to score 18 pairs of adjectives for each benchmark nine-square color scheme, and 18m data groups were obtained. The mean statistical analysis of the 18m data groups was performed using Excel software to obtain the mean of the perceptual evaluation.
6. The color matching perceptual prediction method based on CNCSCOLOR according to claim 5, characterized in that: The specific process of S4 is as follows: Introduce hue h, lightness v and chroma c, and arrange and combine with basic color J, coordination color X and emphasis color Q to obtain basic color hue J h , basic color brightness J v 、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h , Accent color brightness Q v and emphasize color Q c ; The value assignment rule for colored colors is that the hue value ranges from 1 to 20, the lightness ranges from 1 to 5, and the chroma ranges from 1 to 5; for achromatic colors, the hue value is 0, the lightness value is 1 to 5, and the chroma value is 0. The hue code in CNCSCOLOR ranges from 000-160, with a total of 20 hues, and the hue code is an integer multiple of 008 or an adjacent number of an integer multiple. The hue code of h01 in the hue circle is 160 or an adjacent code such as 001, 002, and the hue is assigned to 1; the hue code of h02 is 008 or an adjacent code such as 007, 009, and the hue is assigned to 2; and so on, the hue code is 016 or the adjacent code of h03, and the hue is assigned to 3...20; the lightness value range in CNCSCOLOR is 0-90, divided into five The brightness of 0-20 is classified as low brightness interval and assigned a value of 1; the brightness of 21-45 is classified as medium-low brightness interval and assigned a value of 2; the brightness of 46-60 is classified as medium brightness interval and assigned a value of 3; the brightness of 61-75 is classified as medium-high brightness interval and assigned a value of 4; the brightness of 76-90 is classified as high brightness interval and assigned a value of 5; the chroma value range of CNCSCOLOR is 0-37, which is divided into five intervals. The chroma of 0-07 is classified as low chroma interval and assigned a value of 1; the chroma of 08-17 is classified as medium-low chroma interval and assigned a value of 2; the chroma of 18-22 is classified as medium chroma interval and assigned a value of 3; the chroma of 23-27 is classified as medium-high chroma interval and assigned a value of 4; the chroma of 28-37 is classified as high chroma interval and assigned a value of 5.
7. The color matching perceptual prediction method based on CNCSCOLOR according to claim 6, characterized in that: The specific process of S5 is as follows: The equation for performing multiple linear regression analysis is In the formula, the sensitivity value is the dependent variable AP, which is the sensitivity expressed by each adjective; , , , , , , , , is the independent variable, i.e., the color attribute value; is the regression constant; , …, is the regression coefficient; is a random error; the regression equation is statistically tested, including the goodness of fit test of the regression equation, the significance test of the regression equation and the significance test of the regression coefficient; The series regression equations of 18 perceptual adjective pairs are obtained as follows: 。 8. The color matching perceptual prediction method based on CNCSCOLOR according to claim 7, characterized in that: The specific process of S6 is as follows: Calculate the corresponding basic color hue J of the nine-square color matching diagram obtained in step 1 h , basic color brightness J v 、Basic color J c , coordinated color hue X h , coordinate color brightness X v , coordinate color X c , accent color hue Q h , Accent color brightness Q v and emphasize color Q c , by substituting these parameters into the series regression equation to calculate the values, the corresponding degree of sensibility of the product color design can be predicted.