Color matching method based on COLORO color system
By constructing the COLORO hue-tone basic model and sensory model, the problem of large workload and low efficiency of clothing designers when matching colors is solved, and more efficient and scientific color selection and design are achieved.
Patent Information
- Application Number
- CN202411780295.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-05
- Publication Date
- 2025-04-25
AI Technical Summary
In the prior art, when fashion designers use COLORO color system to match colors, they have a large workload, low efficiency, and are difficult to meet the emotional needs of users.
By constructing the COLORO hue-toned basic model and sensory model, designers can select and combine colors more intuitively to meet the needs of different sensory words and improve color matching efficiency.
It improves the reliability and accuracy of color selection, enhances the objectivity and scientificity of color matching design, reduces the steps of manual selection, and improves the efficiency of clothing color design.
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Figure CN119887951A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of textile color management and relates to a color matching method based on the COLORO color system. Background Art
[0002] Color is an especially important visual element in design and plays a vital role in clothing design. The design concept and brand image of clothing products can be conveyed through reasonable color matching and design. At the same time, the rational use of color will improve the efficiency of clothing information exchange. With the rapid development of society, brand color strategy has become an important strategic content for the development of clothing companies. Combining color with corporate brand image is the key to improving customer satisfaction.
[0003] Color management plays a vital role in the textile industry. The PCCS color system is widely used in clothing design. The PCCS (Practical Color Coordinate System) color system was developed by the Japanese Color Research Institute. The PCCS color tone diagram is a color matching system based on it. Its biggest feature is that it integrates the lightness and chroma of the three attributes of color into a hue, and gives each hue a perceptual impression, thereby transforming the three-dimensional form of the color system into a two-dimensional form. On the one hand, it is more intuitive and simple to express the characteristics of the three attributes of color, and on the other hand, it can better meet the color matching needs of designers. The PCCS color system is consistent with the color sensibility that needs to be expressed in clothing design, can meet the color matching needs of clothing, help designers grasp the potential connection between product color attributes and clothing image perception, and improve the efficiency of product color design. Its color can reflect people's social life background and emotional preferences at that time to a certain extent. At present, there is a scope positioning research on the semantics of clothing style and color attributes or color matching, but there is no color formation system that is screened according to clothing style and divided according to different perceptual words. In the process of product design, designers are often guided by the style of seasonal clothing, combined with their own color matching experience or the conventional colors of the product to combine and piece together. This makes the designed color matching highly subjective, ignores consumers' feelings about color matching, and cannot stimulate consumers' purchasing desire well.
[0004] In the current COLORO color system, each color in the COLORO three-dimensional color system is numbered with 7 digits, representing hue, lightness and chroma respectively. The hue number is the hue value, which is the first three digits, from 000 to 160, from red to orange, yellow to green, green to blue, and then to purple. The lightness number is the lightness value, from 00 to 99, indicating the brightness of the color; the chroma number is the chroma value, such as 01, 02, 03, 04, 05, 06... The extremely low chroma less than 01 is represented by 00, which is open, and increases from the center of the hue ring to the outer radiating line direction, and there is currently no upper limit. When choosing colors, designers often base their decisions on the clothing style of the season and their own subjective aesthetics. There is no standardized and complete color matching model for designers to use directly in color matching design. Designers need to select colors from 3,500 colors on 63 pages of physical color cards for color matching design. The workload is very large, and no perceptual color matching guidance can be provided. This will lead to problems such as the colors of the designed clothing being difficult to meet the aesthetic needs of consumers, and the efficiency is low. Summary of the invention
[0005] The purpose of the present invention is to provide a color matching method based on the COLORO color system, which solves the problem that when fashion designers match colors according to the existing color system, the workload is large, the efficiency is low, and it is insufficient to meet the perceptual needs of users.
[0006] The technical solution adopted by the present invention is a color matching method based on the COLORO color system, which is specifically implemented according to the following steps: Step 1, construct the COLORO hue-tone basic model; Step 2: Build the COLORO hue-tone perceptual model for color matching.
[0007] The present invention is also characterized in that: Step 1: Based on the PCCS color system, select basic colors from the COLORO standard color card book, and construct the COLORO hue-tone basic model according to the two-dimensional distribution form of the PCCS hue diagram, with lightness as the vertical axis and chroma as the horizontal axis.
[0008] In step 1, the column with chroma value of 0 is the area without color tone, and the right side of the achromatic tone is the area with color tone; according to the characteristics of color block distribution in the COLORO color card, the number of hues in each column of the COLORO hue-hue basic model is set to 5, 4, 3 and 1 respectively, and the COLORO hue-hue basic model is constructed; most of the colors of the COLORO color card are distributed on the left side of the equal hue plane, the column with the smallest chroma value has the largest number of color blocks, and the column with the largest chroma value has the least number of color blocks.
[0009] When selecting the basic color in step 1, there are two types of selection rules: achromatic selection rules and chromatic selection rules.
[0010] Step 1.1 No color selection rules; Step 1.1.1, there are only six achromatic colors in the COLORO standard color card book, all of which are selected as basic colors, and also six achromatic tones, to obtain the color numbers and RGB values of the achromatic colors; Step 1.1.2, divide the brightness into five intervals according to the six positions of the achromatic hues in step 1.1.1, namely low brightness, medium-low brightness, medium brightness, medium-high brightness, and high brightness; Step 1.2 has color selection rules; Step 1.2.1, determine the hue of the basic color; the number of colors in the hue wheel is usually a multiple of 10 or 12, and is evenly gradient. According to the color distribution characteristics of the COLORO color system, the hue number ranges from 000 to 160, the number of hue wheels is determined to be 20, and the hue number of the selected basic color is equal to or approximately equal to a multiple of 8, that is, 008, 016, 024...160; When selecting the base color in step 1.2.1, set the hue number difference standard to ±2.
[0011] Step 1.2.2, determine the brightness and chroma of the basic color; Chroma is divided into five intervals: low saturation, medium-low saturation, medium saturation, medium-high saturation, and high saturation, corresponding to four saturation levels and four vertical columns of color tones.
[0012] According to step 1.1.2, the five achromatic brightness intervals are used as the five brightness levels of the colored tone. There are five in the first column of the colored tone, corresponding to the five brightness levels. As the chroma increases, the brightness level gradually decreases. Corresponding to the four chroma levels, the brightness levels are 5, 4, 3, and 1 respectively.
[0013] Step 1.2.3, the combination of lightness and chroma gives the 13 colorful tones in the basic model. The 20 hues that have been determined are matched with these 13 combinations of lightness and chroma to obtain the 260 basic colors required by the model, and the corresponding color numbers and RGB values are obtained to form 13 20-color hue circles.
[0014] Step 2.1, use the word selection tool to screen the initial perceptual adjectives according to five dimensions: bright-gray, bright-dark, deep-light, thick-light, and black-white; Step 2.2, discuss the initial perceptual adjectives selected in step 2.1 with experts in color direction, and select perceptual adjectives that correspond to the hues in step 1.1.3; Step 2.3, conduct a questionnaire survey on the hue adjectives selected in step 2.2, conduct a statistical analysis on the selection ratio of each hue ring perceptual vocabulary in the survey results, obtain the names of each hue, and construct a COLORO hue-hue perceptual model for color matching.
[0015] The beneficial effects of the present invention are as follows: the color matching method of the present invention is based on the COLORO color system. By constructing the COLORO hue-tone perceptual model, the reliability and accuracy of the existing color model construction are effectively improved, and color selection is performed, and the color screening and confirmation goals of the product color scheme are well achieved, the color matching quantification efficiency is improved, and the objectivity and scientificity of the color matching design are improved, and it has good accuracy. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 Step 1 of the present invention is to construct a COLORO hue-tone basic model diagram; Figure 2 Step 2 of the present invention is to construct a COLORO hue-tone perceptual model diagram; Figure 3 The hue circle of the hue No. 1 obtained in Example 5 of the present invention; FIG4 (a) is a color scheme of sequence number 1 in color tone No. 1 obtained in Example 6 of the present invention; FIG4 (b) is a color scheme of sequence number 2 in color tone number 1 obtained in Example 6 of the present invention; FIG4 (c) is a color scheme of sequence number 3 in color tone No. 1 obtained in Example 6 of the present invention; FIG4 (d) is a color scheme of sequence number 4 in color tone No. 1 obtained in Example 6 of the present invention; DETAILED DESCRIPTION The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.
[0017] Example 1 The color matching method of the present invention is based on the COLORO color system and is specifically implemented according to the following steps: Step 1, construct the COLORO hue-tone basic model; Step 2: Build the COLORO hue-tone perceptual model to match colors and divide the tones in the COLORO color system more finely.
[0018] Example 2 The color matching method of the present invention is based on the COLORO color system and is specifically implemented according to the following steps: Step 1, construct the COLORO hue-tone basic model; Step 1 specifically includes: constructing a COLORO hue-tone basic model according to the two-dimensional distribution form of the PCCS hue diagram, selecting basic colors from the COLORO standard color card book, and converting the COLORO three-dimensional color system into two dimensions of hue and hue based on the PCCS color system with advantages of each color system to construct a basic model; Step 2: Build the COLORO hue-tone perceptual model to match colors and divide the tones in the COLORO color system more finely.
[0019] Example 3 The color matching method of the present invention is based on the COLORO color system and is specifically implemented according to the following steps: Step 1, construct the COLORO hue-tone basic model; Based on the PCCS color system and the selection of consumers' color aesthetic preferences, the color block distribution characteristics are sorted out from the three aspects of color representation, user emotion and enterprise strategy. Basic colors are selected from the COLORO standard color card book, and the COLORO hue-tone basic model is constructed according to the two-dimensional distribution form of the PCCS hue diagram. Figure 1 As shown in the figure, with lightness as the vertical axis and chroma as the horizontal axis, the vertical column with chroma value of 0 is the area without color tone, and the right side of the achromatic tone is the area with color tone. According to the characteristics of the color block distribution in the COLORO color card, the number of tones in each column is divided into 5, 4, 3 and 1 respectively. Most of the colors in the COLORO color card are distributed on the left side of the equal hue surface. The vertical column with the smallest chroma value has the most color blocks, and the vertical column with the largest chroma value has the least color blocks.
[0020] Select basic colors from the COLORO standard color card book; when selecting basic colors, there are two selection rules: colored selection rules and non-colored selection rules.
[0021] Step 2: Build the COLORO hue-tone perceptual model to match colors and divide the tones in the COLORO color system more finely.
[0022] Example 4 The color matching method of the present invention is based on the COLORO color system and is specifically implemented according to the following steps: Step 1, construct the COLORO hue-tone basic model; Taking the PCCS color system as the benchmark and based on the selection of consumers' color aesthetic preferences, the color block distribution characteristics are sorted out from the three aspects of color representation layer, user emotion layer and enterprise strategy layer. The basic colors are selected from the COLORO standard color card book, and the COLORO hue-tone basic model is constructed according to the two-dimensional distribution form of the PCCS hue diagram. The design is based on lightness as the vertical axis and chroma as the horizontal axis. The column with chroma value of 0 is the area without color tone, and the right side of the achromatic tone is the area with color tone; according to the characteristics of color block distribution in the COLORO color card, the number of hues in each column of the COLORO hue-tone basic model is 5, 4, 3 and 1 respectively, to construct the COLORO hue-tone basic model; most of the colors of the COLORO color card are distributed on the left side of the equal hue surface, the column with the smallest chroma value has the largest number of color blocks, and the column with the largest chroma value has the least number of color blocks.
[0023] When selecting basic colors from the COLORO standard color card book, there are two selection rules: achromatic and chromatic.
[0024] Step 1.1 No color selection rules; Step 1.1.1, there are only six achromatic colors in the COLORO standard color card book, all of which are selected as basic colors, and also six achromatic tones, to obtain the color numbers and RGB values of the achromatic colors; Step 1.1.2, divide the brightness into five intervals according to the six positions of the achromatic hues in step 1.1.1, namely low brightness, medium-low brightness, medium brightness, medium-high brightness, and high brightness; Step 1.2 has color selection rules; Step 1.2.1, determine the hue of the basic color. The number of colors in the hue wheel is usually a multiple of 10 or 12, and is evenly gradient. According to the color distribution characteristics of the COLORO color system, the hue number ranges from 000 to 160, the number of hue wheels is determined to be 20, and the hue number of the selected basic color is equal to or approximately equal to a multiple of 8, that is, 008, 016, 024...160; When selecting the base color in step 1.2.1, set the hue number difference standard to ±2.
[0025] Step 1.2.2, determine the brightness and chroma of the basic colors.
[0026] Chroma is divided into five intervals: low saturation, medium-low saturation, medium saturation, medium-high saturation, and high saturation, corresponding to four saturation levels and four vertical columns of color tones.
[0027] According to step 1.1.2, the five achromatic brightness intervals are used as the five brightness levels of the colored tone. There are five in the first column of the colored tone, corresponding to the five brightness levels. As the chroma increases, the brightness level gradually decreases. Corresponding to the four chroma levels, the brightness levels are 5, 4, 3, and 1 respectively.
[0028] Step 1.2.3, the combination of lightness and chroma gives the 13 colorful tones in the basic model. The 20 hues that have been determined are matched with these 13 combinations of lightness and chroma to obtain the 260 basic colors required by the model, and the corresponding color numbers and RGB values are obtained to form 13 20-color hue circles.
[0029] Step 2: Build the COLORO hue-tone perceptual model to match colors and divide the tones in the COLORO color system more finely.
[0030] Step 2.1, use the word selection tool to screen the initial perceptual adjectives according to five dimensions: bright-gray, bright-dark, deep-light, thick-light, and black-white; Step 2.2, discuss the initial perceptual adjectives selected in step 2.1 with experts in color direction, and select perceptual adjectives that correspond to the hues in step 1.1.3; Step 2.3, the hue adjectives selected in step 2.2 are used for questionnaire survey, and the selection ratio of each hue ring perceptual vocabulary in the survey results is statistically analyzed to obtain the names of each hue, forming the COLORO hue-hue perceptual model, such as Figure 2 shown.
[0031] Example 5 On the basis of Example 4, this example obtains the corresponding brightness range and chroma range by statistically analyzing and studying the properties of the color blocks in the COLORO color card, as shown in Table 1. The position number of each color block in the hue circle is based on h01 as the starting point and surrounds the hue circle in a counterclockwise direction.
[0032] Table 1 shows the brightness range and chroma range
[0033] According to the above color selection rules, the color block of hue 1 is selected, and the three color attributes and RGB values corresponding to the 20 color blocks finally selected are shown in Table 2.
[0034] Table 2 shows the three color attributes and RGB values corresponding to the 20 color blocks.
[0035] Fill the 20 color blocks in Table 2 into the corresponding positions in the hue circle in a counterclockwise direction and connect end to end to obtain the hue circle of hue No. 1, as shown in Figure 3 As shown, the remaining 12 hues also form their corresponding color circles in this way, thereby constructing a color circle of 13 different hues.
[0036] Selection rules for achromatic colors: There are only 6 achromatic colors in the COLORO standard color card book, which are numbered from high to low according to brightness, that is, No. 1 has the highest brightness and No. 6 has the lowest brightness. The three color attributes and RGB values of the achromatic colors finally selected are shown in Table 3.
[0037] Table 3 shows the three color attributes and RGB values of the six achromatic colors
[0038] The lightness range is divided into seven intervals according to the six positions of achromatic hues, as shown in Table 4.
[0039] Table 4 shows the six position classifications of achromatic hues
[0040] The chroma range is divided into 5 intervals, as shown in Table 5.
[0041] Table 5 shows the classification of chroma range
[0042] Example 6 On the basis of Example 5, step 3 of this embodiment combines the two word selection tools, Wanciwang and COCA corpus, to screen the initial perceptual adjectives according to the five dimensions of bright-gray, light-dark, deep-light, thick-light, and black-white, and then discusses with experts in the color direction, and finally screens out the semantic words corresponding to the 13 tones, and the perceptual adjectives corresponding to each tones, as shown in Table 6.
[0043] Table 6 shows the perceptual adjectives corresponding to the 13 different hue numbers
[0044] The questionnaire of “Perceptual Survey of 13 Hue Rings” was designed by using the adjectives corresponding to the 13 hues selected in Table 6, and then the perceptual survey was conducted on people under 20 years old, 20-29 years old, 30-39 years old, 40-49 years old and over 50 years old who were studying design-related majors or had engaged in design-related work.
[0045] A total of 122 online questionnaires were distributed in this perceptual survey, of which 120 were valid and 2 were invalid (the two people had color discrimination disorders). The effective recovery rate of the questionnaires was 98.36%. Among the surveyed population, the ratio of men to women was close to 1:1, and the proportion of people in each age group was: 16.67% under 20 years old, 27.5% between 20 and 29 years old, 20.83% between 30 and 39 years old, 18.33% between 40 and 49 years old, and 16.67% over 50 years old. The mean statistical analysis of the selection proportion of perceptual vocabulary of each hue ring in the survey results can obtain the naming of each hue in the COLORO hue-hue perceptual model, and finally construct the COLORO hue-hue perceptual model.
[0046] When matching colors, if the designer wants to design "bright" clothing colors, according to the COLORO hue-tone perceptual model "bright" color matching, the "bright" color matching style is concentrated in the No. 1 hue circle named "bright, eye-catching, bright", and its chroma is in the high chroma range and the lightness is in the medium lightness range. Therefore, according to the colors in the No. 1 hue circle, the nine-square color matching is performed, as shown in Figure 4 (a)-Figure 4 (d), No. 1 corresponds to Figure 4 (a), No. 2 corresponds to Figure 4 (b), No. 3 corresponds to Figure 4 (c), and No. 4 corresponds to Figure 4 (d). The final color matching reference is shown in Table 7 below.
[0047] Table 7 shows the results of color matching in the No. 1 color wheel using the nine-square grid
[0048] The color matching method of the present invention is based on the COLORO color system. Through the analysis and research on the color style and color matching rules of clothing, the relationship between different age groups of different users and the selected clothing colors is obtained through questionnaire survey, and the color distribution of different users of different age groups is obtained through quantitative analysis of the colors on the samples. The hue and tone of the colors are analyzed to obtain the rules of clothing color matching. The present invention uses a universal and intuitive color language to make color matching fast and simple. The overall color presentation conforms to the visual rules, which is convenient for designers to match and modify colors, reduces the steps of manual selection, reduces labor costs, improves the objectivity and scientificity in the color matching process, provides reference for designers to make decisions, effectively improves the efficiency of clothing color design, and provides intuitive and accurate reference standards.
Claims
1. A color matching method based on the COLORO color system, characterized in that: Follow the steps below to implement it: Step 1, construct the COLORO hue-tone basic model; Step 2: Construct the COLORO hue-tone perceptual model.
2. The color matching method based on the COLORO color system according to claim 1, characterized in that: Step 1: Based on the PCCS color system, the PCCS hue diagram is used to construct the COLORO hue-hue basic model, with lightness as the vertical axis and chroma as the horizontal axis.
3. The color matching method based on the COLORO color system according to claim 2, characterized in that: In step 1, the column with chroma value of 0 is the area without color tone, and the right side of the achromatic tone is the area with color tone; according to the characteristics of color block distribution in the COLORO color card, the number of hues in each column of the COLORO hue-hue basic model is set to 5, 4, 3 and 1 respectively, and the COLORO hue-hue basic model is constructed; most of the colors of the COLORO color card are distributed on the left side of the equal hue plane, the column with the smallest chroma value has the largest number of color blocks, and the column with the largest chroma value has the least number of color blocks.
4. The color matching method based on the COLORO color system according to claim 3, characterized in that: When selecting the basic color in step 1, there are two types of selection rules: achromatic selection rules and chromatic selection rules.
5. The color matching method based on the COLORO color system according to claim 4, characterized in that: Step 1.1 The selection rules for achromatic colors are: Step 1.1.1, there are only six achromatic colors in the COLORO standard color card book, all of which are selected as basic colors, and also six achromatic tones, to obtain the color numbers and RGB values of the achromatic colors; Step 1.1.2, divide the brightness into five intervals according to the six positions of the achromatic tones in step 1.1.1, namely low brightness, medium-low brightness, medium brightness, medium-high brightness, and high brightness.
6. The color matching method based on the COLORO color system according to claim 5, characterized in that: Step 1.2 The color selection rules are: Step 1.2.1, determine the hue of the basic color; The number of colors in the hue wheel is usually a multiple of 10 or 12, and is evenly gradient. According to the color distribution characteristics in the COLORO color system, the hue number ranges from 000 to 160, the number of hue wheels is determined to be 20, and the hue number of the selected basic color is equal to or approximately equal to a multiple of 8, that is, 008, 016, 024...160; Step 1.2.2, determine the brightness and chroma of the basic color; Chroma is divided into five intervals: low chroma, medium-low chroma, medium chroma, medium-high chroma, and high chroma, corresponding to four chroma levels and four vertical columns of color tones; According to step 1.1.2, the five achromatic brightness intervals are used as the five brightness levels of the colored tones. The first column of the colored tones has five, corresponding to the five brightness levels; As the color saturation increases, the lightness level gradually decreases, corresponding to the four color saturation levels, the lightness levels are 5, 4, 3, and 1 respectively; Step 1.2.3, the combination of lightness and chroma gives the 13 colorful tones in the basic model. The 20 hues that have been determined are matched with these 13 combinations of lightness and chroma to obtain the 260 basic colors required by the model, and the corresponding color numbers and RGB values are obtained to form 13 20-color hue circles.
7. The color matching method based on the COLORO color system according to claim 6, characterized in that: When selecting the base color in step 1.2.1, set the hue number difference standard to ±2.
8. The color matching method based on the COLORO color system according to claim 7, characterized in that: Step 2 is specifically as follows: Step 2.1, using a word selection tool to screen initial perceptual adjectives according to five dimensions: bright-gray, bright-dark, deep-light, thick-light, and black-white; Step 2.2, discuss the initial perceptual adjectives selected in step 2.1 with experts in color direction to select perceptual adjectives that correspond to the hues in step 1.2.3; Step 2.3, conduct a questionnaire survey on the hue adjectives selected in step 2.2, conduct a statistical analysis on the selection ratio of each hue ring perceptual vocabulary in the survey results, obtain the names of each hue, and form the COLORO hue-hue perceptual model.
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