CN113743109A - Product intelligent color matching design system based on user emotion - Google Patents
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Abstract
The invention discloses an intelligent product color matching design system based on user emotion, and belongs to the field of product color matching design. The emotion color source analysis module is used for carrying out color coding and constructing color combinations under different emotions based on emotion classification; the color matching object analysis module is used for acquiring the number of color areas of the image to be matched and coding the image based on the area of the color areas; the emotion vocabulary color matching and iteration module is used for selecting a color combination from the color library according to the emotion vocabulary specified by the user and performing color matching and iteration on a color area to be matched; the image emotion color matching and iteration module is used for extracting the main color of the image to be matched, selecting a color combination from the color library based on the main color, and performing color matching and iteration on the color area to be matched; and the color adjusting module is used for adjusting the color scheme results to generate the number of the color schemes specified by the user. The efficiency of the user matching colors can be greatly improved, the quality of the color matching scheme is improved, and the goal that people are color matching teachers is achieved.
Description
Technical Field
The invention relates to the field of product color matching design, in particular to an intelligent product color matching design system based on user emotion.
Technical Field
The colors can transfer the emotions of people, the colors are continuously changed along with the circulation of seasons, the psychological feelings of the people to the environment are simultaneously influenced by the subtle changes of the colors, and different psychological feelings are brought to the people by the combination changes among different emotional colors. Besides the single color is related to emotion, the combination of colors is also related to emotion. Color plays an important role in product design. People have certain requirements on the color of products before purchasing the products. Therefore, in the product color design stage, if the product color matching can meet the emotional requirements of the user, the sales volume of the product can be greatly increased.
The color emotion of a user about a product varies with age, personal experience, and social culture. Thus, the emotional needs of the user are not fixed and unitary, but rather complex and varying. Traditional product color scheme design still needs the designer to accomplish, but it is the work that wastes time and energy to match colors to the product to rely on the professional alone, and efficiency and accuracy are all waited to improve, and the subjectivity is stronger, is difficult to possess a unified standard. The existing color matching system can not meet the individual emotional requirements of users, and the practicability of the product color matching design is reduced.
Disclosure of Invention
In order to overcome the technical problems, the invention aims to construct a product intelligent color matching design system based on user feelings, color matching schemes can be automatically generated in batches based on conditions given by users, two optimization technologies of interactive evaluation and group intelligence are provided, the color matching efficiency of the users is greatly improved, the quality of the color matching schemes is also improved, the aim that people and people are color matching teachers is achieved, and the product intelligent color matching design system can be applied to various industries such as large-scale equipment, industrial equipment, intelligent home furnishing, clothing packaging and the like.
The technical scheme adopted by the invention is as follows:
an intelligent product color matching design system based on user emotion, comprising:
the emotion color source analysis module is used for acquiring color information of a color source to perform color coding, and constructing color combinations under different emotions based on emotion classification, wherein each color combination corresponds to an emotion vocabulary; the color combination, the emotion vocabulary, the color coding and the color information form a color library;
the color matching object analysis module is used for acquiring the number of color areas of the image to be matched, coding the image based on the area of the color areas and recording the color area to be matched specified by a user;
the emotion vocabulary color matching and iteration module is used for selecting a color combination from the color library according to the emotion vocabulary specified by the user and performing color matching and iteration on a color area to be matched;
the image emotion color matching and iteration module is used for extracting the main color of the image to be matched, selecting a color combination from the color library based on the main color, and performing color matching and iteration on the color area to be matched;
and the color adjusting module is used for adjusting the color scheme results to generate the number of the color schemes specified by the user.
Preferably, the emotion vocabulary color matching and iteration module comprises:
the emotion vocabulary selection module is used for acquiring emotion vocabularies appointed by a user; the emotion vocabulary is generated by a preset emotion vocabulary table;
the first color combination matching module is used for selecting all color combinations matched with the emotion vocabularies from a color library according to the emotion vocabularies appointed by the user, classifying all the matched color combinations and selecting the optimal type of color combination; selecting one group from the color combinations of the optimal type to obtain the color number and the color number of the selected color combination, and acquiring color information in the selected color combination according to the color number;
the first reconstruction color combination module reconstructs the selected color combination and expands color filling by comparing the number of the color areas to be matched with the number of the colors in the selected color combination to be used as a parent color matching scheme;
the first iteration module is used for acquiring all other color combinations with the same color number under the same emotion vocabulary according to the emotion vocabulary and the color number corresponding to the selected color combination, and performing parent color recombination or color combination replacement according to the selected color combination and all other color combinations;
the parental color recombination method comprises the following steps: forming new child color schemes by scattering and recombining the color information and the number of colors in the selected color combination according to the parent color scheme;
the color combination replacing method comprises the following steps: a set of color combinations is reselected from all other color combinations to replace the original parent color scheme.
Preferably, the color combination classification module encodes the color region types of the different color combinations according to the number of colors in the different color combinations and the number of color regions to be matched, and takes the color number type with the most advanced encoding as the optimal type.
Preferably, the image emotion color matching and iteration module comprises:
the image color extraction module is used for determining the extraction color of the image to be matched by using a K-Means method and obtaining the emotion vocabulary corresponding to the extraction color by comparing the color library;
the second color combination matching module selects one extracted color according to the emotion vocabulary corresponding to the extracted colors, determines the color quantity and the color number of one color combination from all the color combinations containing the selected extracted colors, and obtains the color information of the extracted colors in the selected color combinations and the color information of non-extracted colors according to the color numbers;
the second reconstruction color combination module is used for comparing the number of the color areas to be matched with the number of the colors in the selected color combination, reconstructing the selected color combination and developing and filling the extracted colors as core colors to serve as parent color matching schemes;
the second iteration module is used for acquiring all other color combinations containing the selected extracted color under the same emotion vocabulary from the color library according to the emotion vocabulary and the number of the colors corresponding to the selected color combination, and performing parent color recombination or color combination replacement according to the selected color combination and all other color combinations;
the parental color recombination method comprises the following steps: forming new child color schemes by scattering and recombining the color information and the number of colors in the selected color combination according to the parent color scheme; extracting colors in the child color matching schemes to be used as core colors;
the color combination replacing method comprises the following steps: a set of color combinations is reselected from all other color combinations to replace the original parent color scheme.
Preferably, the core color is a color space filling color with the largest area.
Preferably, the color adjusting module extracts color information of a color scheme, wherein the color information is an RGB value of color filling; carrying out numerical value adjustment within the range of 0.2 times of the color value on the RGB value of each color filling to generate a color scheme with the same hue and slightly changed color; the number of color schemes that are ultimately generated may be specified by the user.
Preferably, the image color extraction module uses a K-Means method to input all the RGB values of the primary colors in the image to be matched to obtain K clusters, and uses the color information of each cluster center as an extraction color; and comparing the color combinations in the color library, and taking the emotion vocabulary corresponding to the color combination with the similar result larger than the threshold value as the emotion vocabulary of the extracted color.
According to the invention, by selecting emotion vocabularies or extracting image colors, developing the intelligent color matching design of the product and expressing corresponding emotions, the defect that the traditional product color matching scheme needs to be completed by a designer is overcome, time and labor are saved, the efficiency and the accuracy are high, and an objective and standard uniform color matching scheme can be obtained, so that the color matching result is more popular with people.
Drawings
FIG. 1 is a flow chart of the operation of the system of the present invention;
FIG. 2 is a flow chart of emotion vocabulary based color matching and iteration;
FIG. 3 is a flowchart of color matching and iteration based on image emotion;
FIG. 4 is a drawing showing a trolley pattern in the present embodiment;
FIG. 5 is a system interface shown in the present embodiment;
FIG. 6 is a result of color matching based on emotion vocabulary;
FIG. 7 is an illustration of iterative results of color matching based on emotional vocabulary;
FIG. 8 is a color matching result based on image emotion;
FIG. 9 is a diagram of iterative results of color matching based on image emotion;
FIG. 10 is a result of color trimming for a color scheme.
Detailed Description
The invention will be further illustrated and described with reference to specific embodiments. The technical features of the embodiments of the present invention can be combined correspondingly without mutual conflict.
As shown in FIG. 1, the invention discloses an intelligent product color design system based on user emotion, which can develop the emotional color design of a product based on emotion vocabularies or image emotions. The system mainly comprises 5 modules which are respectively as follows: the system comprises an emotional color source analysis module, a color matching object analysis module, an emotional vocabulary color matching and iteration module, an image emotional color matching and iteration module and a color adjustment module of a color matching scheme.
Emotion color source analysis module
Based on the correlation research of emotional colors, the combination among various colors can bring different psychological feelings to people, and therefore deeper connotation and emotional care can be given to products by combining emotional expression development color matching of colors in product color matching design.
The emotion color source analysis module is used for acquiring color information of a color source to perform color coding, and constructing color combinations under different emotions based on emotion classification, wherein each color combination corresponds to an emotion vocabulary; and the color combination, the emotion vocabulary, the color coding and the color information form a color library.
In this embodiment, pages containing different emotions are saved as a color source file, color information in the color source file is extracted to be stored, all emotion pages in the file are searched, and all color combinations in the emotion pages are stored. After the emotion recognition, the system encodes the colors in sequence, records color RGB information values, and stores color numbers in color combinations according to emotion classification, wherein each color combination corresponds to an emotion vocabulary.
(II) color matching object analysis module
The module is divided into three steps, namely loading a pattern, loading a base image and confirming a color area.
The step of loading the pattern refers to inputting the image to be matched into the color matching object analysis module, the system performs proportion analysis on all areas in the image to be matched, the images are sorted according to the area of each color area of the pattern, and the original filling colors of all color areas in the pattern are displayed for selecting the color areas needing color matching.
The loading base map is designed by taking the product map as the base map, and the base map is loaded into the tool for the purpose of two points: 1. the method has the advantages that the method has rich effects when the follow-up batch color matching design is displayed, and a user can conveniently observe the color matching design result and the color matching effect. 2. And calculating the difference value of the center coordinates of the pattern and the center coordinates of the base map so as to facilitate the scheme of the batch color matching design to be orderly arranged in the page.
The color zone is composed of a plurality of areas formed by closed curves, and differentiated color matching results can be formed by coloring of the color zone. The requirement of an empty color zone exists in the actual color matching design, specifically, colors of a certain specific color zone are not changed, and only color assignment is carried out on the partial color zone, so that the color zone is confirmed to be the color zone to be matched specified by a user, intelligent color matching is carried out according to the color matching area selected by the user independently, and the diversified requirements of the color matching design can be met.
Third, emotion vocabulary color matching and iteration module
The color design based on the emotional vocabulary expansion is a design process expanded on the basis of color combination schemes in an emotional color library, and the flow is shown in FIG. 2.
3.1) obtaining the emotion vocabulary specified by the user; the emotion vocabulary is generated by a preset emotion vocabulary and is matched with the emotion vocabulary in the color library.
3.2) according to the emotion vocabulary specified by the user, selecting all color combinations matched with the emotion vocabulary from a color library, classifying all the matched color combinations, and selecting the optimal type of color combination; and selecting one group from the optimal color combinations to obtain the color number and the color number of the selected color combination, and acquiring the color information in the selected color combination according to the color number. In this embodiment, a random algorithm or an existing sorting algorithm may be used to implement the optional group.
In this embodiment, the color zone types to which the different color combinations belong are encoded according to the number of colors in the different color combinations and the number of color zones to be matched, and the color number type with the most advanced encoding is used as the optimal type.
3.3) reconstructing the color combination by a color method to expand color filling by comparing the number of the color areas to be matched with the number of colors in the selected color combination to be used as a parent color scheme.
And 3.4) the emotion vocabulary-based color matching population iteration is to select a high-quality or design image-conforming color matching result to carry out multiple times of color matching iteration, so that the image-conforming color matching result can be obtained step by step, and the population number of the high-quality result is increased. The iterative process of color matching is as follows:
3.4.1) using the color scheme selected by the user as a parent, determining the emotion vocabulary and the color number corresponding to the color combination of the parent scheme, and acquiring all other color combinations with the same color number under the same emotion vocabulary.
3.4.2) to perform innovative color matching (color combination change) and regrouping (parent color regrouping) based on the selected color combination and all other color combinations, one route may be selected randomly to develop the color matching when iterated, or one route may be selected based on user requirements.
The recombined color matching is as follows: forming new child color schemes by scattering and recombining the color information and the number of colors in the selected color combination according to the parent color scheme;
the innovative color matching is as follows: a set of color combinations is reselected from all other color combinations to replace the original parent color scheme.
Through color matching iteration, a user can continuously enlarge the population scale of a high-quality color matching scheme, and a new color matching scheme is obtained in the iteration process to provide ideas for the user.
(IV) image emotion color matching and iteration module
The image is a carrier for a photographer or a creator to convey self creation emotion, wherein image thinking and emotion expression of the creator on a certain object or scene are contained, color is obtained from the image, the image emotion can be effectively transmitted by applying the image emotion to color matching design of a product, and the emotional thinking of the creator is embodied on the product. As shown in fig. 3, developing the product color matching design based on image extraction includes extracting the main color of the image to be matched, selecting a color combination from the color library based on the main color, and performing color matching and iteration on the color area to be matched, which generally includes extracting the image color, comparing the image color, applying the image color, and performing color matching iteration.
4.1) extracting image colors: and extracting the main color of the image (hereinafter referred to as extraction color) by using a K-Means method to be used as the core color in the color matching design process. Specifically, all the primary color RGB values in the image to be matched are used as the input of a K-Means method to obtain K clusters, and the color information of each cluster center is used as the extracted color.
4.2) comparing image colors: comparing the extracted color with the color combination in the color library, and taking the emotion vocabulary corresponding to the color combination with the similar result larger than a threshold value as the emotion vocabulary of the extracted color;
4.3) applying image color segmentation to 5 steps of expansion:
4.3.1) selecting one extracted color according to the emotion vocabulary corresponding to the extracted color, and acquiring all color combinations containing the extracted color. In this embodiment, the selection may be performed in accordance with the user's requirements.
4.3.2) selecting a combination scheme from all the color combinations, and determining the color number and the color number of the color combination. In this embodiment, a random algorithm or an existing sorting algorithm may be used to select one combination scheme from all color combinations.
4.3.3) acquiring the color information of the non-extracted color according to the color number corresponding to the extracted color, and storing the color information of the extracted color and the acquired color information of the non-extracted color.
4.3.4) obtaining the number of color areas to be matched, comparing with the number of colors in the selected color combination, reconstructing the color combination by using a color method, expanding and filling colors, wherein the color combination is different from emotional vocabulary color matching, extracting colors when the colors are matched with the color areas are always used as core colors for color matching design, the core colors are color area filling colors with the largest area, and the colors of the extracted colors are presented in the largest color areas so as to maximally embody the image emotion.
4.4) color matching iterations
The color matching population iteration method based on the image emotion comprises the following steps:
4.4.1) selecting the color scheme of step 4.3.4) as the parent color scheme, and obtaining the emotional vocabulary, the number of colors, and the color information of the parent color scheme.
4.4.2) all other color combinations containing the selected extracted color under the same emotion vocabulary are retrieved from the color library.
4.4.3) selecting an iteration route, wherein the route of color matching iteration is divided into an innovative color matching (color combination replacement) and a recombined color matching (parent color recombination), and one route can be randomly selected to expand the color matching during the iteration, or one group of routes can be selected according to the requirements of a user.
The innovative color matching is to randomly select one combination scheme from all other color combinations and obtain color information to replace the original parent color scheme according to the color numbers. The recombination color matching is a color matching process which is carried out after the dispersion and recombination according to the selected parent color scheme colors, the iterative color matching is developed by utilizing a color and pattern color zone matching method after the color information of the color combination is obtained, and thus, the child color scheme population inheriting the parent color shape is generated.
(V) color adjusting module of color scheme
Extracting color information of a color scheme, wherein the color information is an RGB value of color filling; carrying out numerical value adjustment within the range of 0.2 times of the color value on the RGB value of each color filling to generate a color scheme with the same hue and slightly changed color; the number of color schemes that are ultimately generated may be specified by the user.
In an embodiment of the present invention, the reconstructing color combination by using a color method, which is described in 3.3) and 4.3), to expand and fill color, specifically includes: and comparing the number of the color areas to be matched with the number of the colors in the selected color combination, and dividing the color combinations into three types, namely multi-color matching, equal-color matching and few-color matching.
The multi-color matching refers to a color matching process in which the number of colors is greater than the number of color regions, and since the number of colors is greater than the number of color regions, all colors in a color combination cannot be corresponded to the color regions, it is necessary to select the same number of colors as the number of color regions from the color combinations, construct color combinations with the same number of color regions after recombination, and then fill the colors into the color regions.
The isochromatic matching is a color filling method with the same number of colors and color regions, and selected color combinations are scattered, recombined and matched with the color regions.
The few-color matching is a color filling method when the number of colors is less than that of color areas, and corresponding number of colors are randomly selected from color combinations to be filled into color areas without color filling on the premise of ensuring that all colors appear simultaneously.
In one embodiment of the present invention, the color matching is performed on the electric car design shown in fig. 4 with the urban electric car product as the object of color matching. Referring to fig. 1, an intelligent color design system for products based on user emotion is introduced, and application cases are respectively displayed in two color matching routes.
In order to more intuitively show the work flow of the system when the product intelligent color matching design system based on user emotion is operated, the embodiment shows the system operation interface shown in fig. 5, which is only used for showing the application of the embodiment and is not used as a limitation to the invention. Inputting a path of an emotion color source file in a color source path text box, clicking a load emotion color source button, automatically identifying and storing color information and color combination information in the document by the system, screening to obtain the number of emotion vocabularies contained in the document, and displaying in an emotion number text box behind the color source path.
Selecting a color matching pattern, clicking a 'load color zone' button, automatically analyzing the color zone composition and the number of color zones of the color matching pattern by the system, displaying the number of the color zones in a 'number of color zones' text box, sequencing according to the area size of each color zone of the pattern, and displaying the original filling colors of each color zone in the pattern on an interface according to the sequencing.
And selecting a product picture, clicking a 'load base picture' button to store the base picture and obtain the size of the base picture, and calculating the difference value of the center coordinates of the pattern and the center coordinates of the base picture so as to facilitate the ordered arrangement of the scheme of the batch color matching design in the page.
And selecting the color area participating in color matching by checking the selection box after each color, and clicking a 'confirm color area' button to confirm the design color area participating in color matching.
The number of schemes for the target color scheme is entered in the text box "number of schemes".
The implementation process based on emotion vocabulary color matching is shown in fig. 2, and the content repeated above is not repeated. Selecting the emotion vocabulary in the image check box, clicking the color matching button, expanding the color matching design based on the color information and the color combination information in the emotion document, and creating a page to display the color matching design result, wherein the color matching effect under 9 different color combinations is shown in FIG. 6. One or more high-quality color schemes are selected based on the color design results, and an "iteration" button is clicked to expand the color scheme iterations to form color images and results that conform to the high-quality schemes, as shown in FIG. 7, which shows the color matching effect of the iterative color matching of FIG. 9.
The implementation flow of the image-based emotion color matching is shown in fig. 3, and the content repeated above is not repeated. Selecting an image, clicking a 'color extraction and classification' button, acquiring the main color (extracted color) of the image, and displaying the main color in a page in a color network mode. Clicking a "color matching" button to expand the emotional color matching of the image, determining the color number of the color library corresponding to the extracted color by obtaining the color information of the extracted color of the image, screening all color combinations containing the number, and selecting one color combination to expand the color matching design, wherein 9 color matching results are shown in fig. 8. One or more high-quality color schemes are selected based on the color design results, an "iteration" button is clicked to expand the color scheme group for iteration to form color images and results that conform to the high-quality schemes, and the color matching effect after iterative color matching in 9 is shown in fig. 9.
Selecting a color scheme and clicking "color tweak" adjusts the color of the scheme, the result of which is shown in fig. 10.
It should be noted that the number of color schemes shown in fig. 6 to 10 in this embodiment may be set according to actual requirements, and the 9 schemes preset in this embodiment are not intended to limit the present invention.
The above-mentioned embodiments only express the embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. An intelligent product color matching design system based on user emotion, comprising:
the emotion color source analysis module is used for acquiring color information of a color source to perform color coding, and constructing color combinations under different emotions based on emotion classification, wherein each color combination corresponds to an emotion vocabulary; the color combination, the emotion vocabulary, the color coding and the color information form a color library;
the color matching object analysis module is used for acquiring the number of color areas of the image to be matched, coding the image based on the area of the color areas and recording the color area to be matched specified by a user;
the emotion vocabulary color matching and iteration module is used for selecting a color combination from the color library according to the emotion vocabulary specified by the user and performing color matching and iteration on a color area to be matched;
the image emotion color matching and iteration module is used for extracting the main color of the image to be matched, selecting a color combination from the color library based on the main color, and performing color matching and iteration on the color area to be matched;
and the color adjusting module is used for adjusting the color scheme results to generate the number of the color schemes specified by the user.
2. The system of claim 1, wherein the emotion vocabulary color matching and iteration module comprises:
the emotion vocabulary selection module is used for acquiring emotion vocabularies appointed by a user; the emotion vocabulary is generated by a preset emotion vocabulary table;
the first color combination matching module is used for selecting all color combinations matched with the emotion vocabularies from a color library according to the emotion vocabularies appointed by the user, classifying all the matched color combinations and selecting the optimal type of color combination; selecting one group from the color combinations of the optimal type to obtain the color number and the color number of the selected color combination, and acquiring color information in the selected color combination according to the color number;
the first reconstruction color combination module reconstructs the selected color combination and expands color filling by comparing the number of the color areas to be matched with the number of the colors in the selected color combination to be used as a parent color matching scheme;
the first iteration module is used for acquiring all other color combinations with the same color number under the same emotion vocabulary according to the emotion vocabulary and the color number corresponding to the selected color combination, and performing parent color recombination or color combination replacement according to the selected color combination and all other color combinations;
the parental color recombination method comprises the following steps: forming new child color schemes by scattering and recombining the color information and the number of colors in the selected color combination according to the parent color scheme;
the color combination replacing method comprises the following steps: a set of color combinations is reselected from all other color combinations to replace the original parent color scheme.
3. The system of claim 2, wherein the color combination classification module encodes the color region types of different color combinations according to the number of colors in different color combinations and the number of color regions to be matched, and takes the color number type with the most advanced encoding as the optimal type.
4. The system of claim 1, wherein the image emotion matching and iteration module comprises:
the image color extraction module is used for determining the extraction color of the image to be matched by using a K-Means method and obtaining the emotion vocabulary corresponding to the extraction color by comparing the color library;
the second color combination matching module selects one extracted color according to the emotion vocabulary corresponding to the extracted colors, determines the color quantity and the color number of one color combination from all the color combinations containing the selected extracted colors, and obtains the color information of the extracted colors in the selected color combinations and the color information of non-extracted colors according to the color numbers;
the second reconstruction color combination module is used for comparing the number of the color areas to be matched with the number of the colors in the selected color combination, reconstructing the selected color combination and developing and filling the extracted colors as core colors to serve as parent color matching schemes;
the second iteration module is used for acquiring all other color combinations containing the selected extracted color under the same emotion vocabulary from the color library according to the emotion vocabulary and the number of the colors corresponding to the selected color combination, and performing parent color recombination or color combination replacement according to the selected color combination and all other color combinations;
the parental color recombination method comprises the following steps: forming new child color schemes by scattering and recombining the color information and the number of colors in the selected color combination according to the parent color scheme; extracting colors in the child color matching schemes to be used as core colors;
the color combination replacing method comprises the following steps: a set of color combinations is reselected from all other color combinations to replace the original parent color scheme.
5. The system of claim 4, wherein the core color is a color space filling with a largest area.
6. The system of claim 1, wherein the color adjustment module extracts color information of a color scheme, the color information being color-filled RGB values; carrying out numerical value adjustment within the range of 0.2 times of the color value on the RGB value of each color filling to generate a color scheme with the same hue and slightly changed color; the number of color schemes that are ultimately generated may be specified by the user.
7. The system of claim 4, wherein the image color extraction module uses K-Means to input RGB values of all primary colors in the image to be matched to obtain K clusters, and uses the color information of each cluster center as the extracted color; and comparing the color combinations in the color library, and taking the emotion vocabulary corresponding to the color combination with the similar result larger than the threshold value as the emotion vocabulary of the extracted color.
8. The system according to claim 2 or 4, wherein the first and second re-configured color combination modules are configured to re-configure the selected color combination by: comparing the number of the color areas to be matched with the number of the colors in the selected color combination, and dividing the color areas into three types of multi-color matching, equal-color matching and less-color matching;
the multi-color matching refers to a color matching process that the number of colors is larger than that of color areas, the colors with the same number as the color areas are selected from the color combinations, and the color combinations with the same number as the color areas are constructed after recombination; in the second reconstruction color combination module, the color selected from the color combination needs to contain an extracted color;
the isochromatic matching is a color filling method with the same number of colors and color areas, and selected color combinations are scattered, recombined and matched with the color areas;
the few-color matching is a color filling method when the number of colors is less than that of color areas, and corresponding number of colors are randomly selected from color combinations to be filled into color areas without color filling on the premise of ensuring that all colors appear simultaneously.
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