Cigarette packaging color management method, system and storage medium based on cultural image

Abstract

The application provides a cigarette packaging color management method, system and storage medium based on cultural image, which comprises the following steps: S1, obtaining a cultural image; S2, performing color analysis and processing on the cultural image to obtain a color feature dataset; S3, associating the color feature with cultural semantics based on the color feature dataset, combining a packaging color formula, and constructing a cultural image color library; and S4, inputting product positioning information of a to-be-designed packaging into the cultural image color library for matching to obtain at least one recommended color design scheme. Through automatic association of pixel-level color extraction and semantic labels, the application directly maps abstract cultural images such as "auspicious and magnificent" and "elegant and dignified" into quantifiable color values that can be printed, eliminates the semantic gap between inspiration expression at the design end and color restoration at the production end, and ensures that the cultural connotation of the design can be accurately conveyed in the printed product.

Description

Technical Field

[0001] This application belongs to the field of tobacco packaging design, specifically involving a method for managing cigarette packaging color based on cultural imagery, a cigarette packaging color management system, and a storage medium. Background Technology

[0002] Packaging design is a core vehicle for product brand differentiation, and the construction of its color system directly determines the product's visual recognition and brand tone. Especially for fast-moving consumer goods like cigarettes that emphasize cultural heritage and emotional value, their packaging colors often carry specific cultural imagery and aesthetic connotations, such as festive narratives of "auspiciousness, magnificence, and warmth" or Eastern philosophical thoughts of "elegance, solemnity, and restraint." The accuracy of color selection directly affects consumers' brand perception and emotional resonance.

[0003] However, the design of color systems for tobacco packaging in existing technologies still relies heavily on the personal experience and subjective aesthetics of designers, lacking systematic and digital methodological support, resulting in the following common technical deficiencies in the industry: (1) There is a serious disconnect between cultural imagery and color data, and the semantic connotation is lost at the production stage. In the traditional design process, designers usually draw inspiration from traditional cultural materials such as ancient architecture, traditional clothing, and cultural relics patterns. However, the process of converting the inspirational imagery into printable CMYK / spot color values ​​relies entirely on manual experience and lacks a quantifiable mapping mechanism. This directly leads to a significant reduction in the cultural semantics expressed at the design stage during the printing production process. There is a significant color deviation between the design draft and the finished product, and the communication of cultural imagery lacks consistency.

[0004] (2) The lack of scientific and quantitative standards for color matching makes it difficult to unify the brand's visual language. The hierarchical division and matching ratio of the main color, auxiliary color, and accent color in the existing schemes are mostly determined by the designer's intuition, lacking quantitative guidance based on the principles of color psychology and color theory. Faced with the same cultural theme, different designers have huge differences in color interpretation, and the harmony of color matching varies greatly. It is difficult for enterprises to build a stable and unified brand visual identity system, which is not conducive to the accumulation and inheritance of brand assets in the long run.

[0005] (3) The spot color naming system is chaotic and disorderly, resulting in high costs for cross-departmental collaboration and supply chain replication. Different projects and designers within the company often use different naming methods for the same or similar colors, lacking standardized color coding and naming specifications. This not only causes high costs for internal cross-departmental communication, but also makes it difficult for printing suppliers to accurately reproduce the design intent after receiving the design files. Repeated proofing and debugging severely slows down the product launch cycle, and the color consistency between batches is difficult to control.

[0006] In summary, the existing tobacco packaging color design process suffers from three major technical bottlenecks: lack of digitalization of cultural imagery, non-quantitative color matching methods, and lack of standardized color management. There is an urgent need for a digital method and system that can start from traditional cultural imagery, systematically construct a complete color system including cultural semantic tags, standard color value parameters, and scientific color matching formulas, and support printing simulation verification, so as to fundamentally solve the above technical problems. Summary of the Invention

[0007] In view of this, the purpose of this application is to provide a method, system and storage medium for cigarette packaging color management based on cultural imagery, in order to solve the above problems.

[0008] To solve the above-mentioned technical problems, this application adopts the following technical solution: Firstly, this application provides a method for color management of cigarette packaging based on cultural imagery. The method includes: Step S1: acquiring cultural imagery images, which include one of the following: images of ancient architecture, traditional clothing, traditional handicrafts, and traditional paintings; Step S2: performing color analysis on the cultural imagery images to obtain a color feature dataset, which includes primary color information, secondary color information, and accent color information; Step S3: based on the color feature dataset, associating the color features with cultural semantics and combining them with packaging color formulas to construct a cultural imagery color library; Step S4: inputting the product positioning information of the packaging to be designed into the cultural imagery color library for matching to obtain at least one recommended color design scheme, whereby the product positioning information includes at least one of the following: product type, price range, target audience, and style preference.

[0009] Furthermore, step S1 includes: step S11: acquiring the original cultural imagery image; step S12: preprocessing the original cultural imagery image to obtain a cultural imagery image, wherein the preprocessing includes at least one of image denoising, color correction, resolution standardization, and region cropping.

[0010] Further, step S2 includes: Step S21: Converting the cultural imagery image to the LAB color space or HSV color space; Step S22: Using a clustering algorithm to perform color clustering on the image pixels of the cultural imagery image to obtain K color clusters, where K is a preset positive integer; Step S23: Calculating the center color value of each color cluster and the pixel ratio of the color cluster in the cultural imagery image, and using the pixel ratio as the proportion weight of the color; Step S24: Sort the colors according to the proportion weight from largest to smallest, and determine the color information at the top of the sort as the main color information, the color information in the middle of the sort as the auxiliary color information, and the color information at the bottom of the sort as the accent color information.

[0011] Further, step S3 includes: Step S31: Associating and mapping the color feature dataset with cultural semantic tags to establish a correspondence between color features and cultural semantics. The cultural semantic tags include one or more combinations of mood description words, emotional attribute words, and style positioning words; Step S32: Generating spot color names according to preset naming rules based on each color component in the color feature dataset, and converting each color component into standard color values ​​under the printing standard color space; Step S33: Associating and storing the cultural imagery images, color feature dataset, cultural semantic tags, spot color names, and standard color values ​​to construct a structured color system database. Each color system scheme in the color system database contains a complete mapping chain of cultural origin, color card set, semantic tags, and standard color values; Step S34: Generating packaging color formulas according to the proportion weight of each enterprise's spot colors in the color system scheme and color matching rules, and combining them with the color system database to construct a cultural imagery color library.

[0012] Further, step S31 includes: Step S311: Pre-setting a cultural semantic tag library, which includes multiple mood description words, emotional attribute words, and style positioning words, each semantic tag being associated with a corresponding color emotional feature vector; Step S312: Calculating the overall emotional feature vector of the color system corresponding to the cultural image image based on the hue, saturation, and brightness attributes of each color component in the color feature dataset; Step S313: Performing similarity matching between the overall emotional feature vector and the feature vectors of each semantic tag in the cultural semantic tag library, selecting semantic tags with similarity exceeding a preset threshold as associated tags of the color system; Step S314: Binding and storing the associated tags with the color feature dataset.

[0013] Furthermore, step S32 includes: Step S321: Pre-setting a naming rule library, which includes a set of naming root words categorized by cultural theme, including traditional color name roots, natural image roots, and cultural allusion roots; Step S322: Matching corresponding roots from the naming root word set according to the cultural imagery source of the color features and combining them to generate a special color name with cultural meaning; Step S323: Converting the color values ​​of each color component from the color space at the time of extraction to four-channel values ​​in the CMYK color space to form standard color values.

[0014] Furthermore, the packaging color formula includes: a main color identifier, a matching ratio formula, a color matching method identifier, and a hue positioning identifier. The main color identifier selects the color with the largest weight as the main color; the matching ratio formula determines the matching ratio of the main color, auxiliary color, and accent color according to the preset golden ratio rule or color theory color matching rules, with the three colors in the matching ratio being 60:30:10, 70:25:5, or 50:30:20; the color matching method identifier automatically determines the color matching method type based on the position relationship of the colors on the color wheel, and the color matching method type includes one of the following: analogous color matching, adjacent color matching, contrasting color matching, split complementary color matching, or triangular color matching; the hue positioning identifier determines the hue positioning type based on the overall brightness and saturation distribution, and the hue positioning type includes light hue, mid-tone, dark hue, or vivid hue.

[0015] Furthermore, step S4 includes: Step S41: In the cultural imagery color library, match the corresponding cultural semantic tags and packaging color formulas according to the product positioning information, sort them according to the matching degree, and obtain the recommended color design scheme; Step S42: According to the recommended color design scheme determined by the user, apply the recommended color design scheme to the model layer corresponding to the packaging to be designed, so as to perform color simulation of the packaging to be designed.

[0016] Secondly, this application provides a cigarette packaging color management system based on cultural imagery. The cigarette packaging color management system includes an acquisition module, an analysis module, a construction module, and a matching module. The acquisition module is used to acquire cultural imagery images, which include one of the following: images of ancient architecture, images of traditional clothing, images of traditional handicrafts, and images of traditional paintings. The analysis module is used to perform color analysis processing on the cultural imagery images to obtain a color feature dataset, which includes primary color information, secondary color information, and accent color information. The construction module is used to associate color features with cultural semantics based on the color feature dataset and combine them with packaging color formulas to construct a cultural imagery color library. The matching module is used to input the product positioning information of the packaging to be designed into the cultural imagery color library for matching to obtain at least one recommended color design scheme. The product positioning information includes at least one of the following: product type, price range, target audience, and style preference.

[0017] Thirdly, this application provides a computer-readable storage medium storing a computer program / instructions thereon, which, when executed by a processor, implements the steps of the above-described method for managing cigarette packaging color based on cultural imagery.

[0018] As can be seen from the above technical solutions, the advantages and positive effects of the cigarette packaging color management method, system, and storage medium based on cultural imagery proposed in this application are as follows: (1) This application achieves automated conversion of traditional cultural visual materials such as ancient architecture, traditional clothing, traditional handicrafts, and traditional paintings into standardized CMYK color values ​​through the synergistic effect of color clustering algorithm and cultural semantic tag library. In the traditional design process, the conversion of designer inspiration into printing color values ​​depends entirely on human experience, which has significant subjective bias.

[0019] (2) This application directly maps abstract cultural images such as “auspicious and magnificent” and “elegant and solemn” into printable quantitative color values ​​by pixel-level color extraction and automatic association of semantic tags, eliminating the semantic gap between the inspiration expression at the design end and the color reproduction at the production end, and ensuring that the cultural connotation of the design is accurately conveyed in the printed product.

[0020] (3) This application constructs a cultural imagery color library, which assigns standardized cultural semantic labels and corresponding color value codes to each color configuration, replacing the previous arbitrary naming methods within the enterprise. Design, marketing, production and printing suppliers communicate and deliver based on the same color library, which greatly reduces the cross-departmental understanding cost and the number of repeated sampling and debugging, effectively shortens the product launch cycle, and ensures the consistency of color reproduction between different batches.

[0021] (4) This application provides quantitative guidance based on color theory principles for the selection of main colors, color matching ratios, application of color matching methods, and hue positioning through color formulas, replacing the traditional experience-based color matching method that relies on designers' intuition. When facing the same cultural theme, different designers can output solutions based on a unified color dataset and color matching rules, effectively solving the problems of excessive differences in color interpretation and inconsistent color harmony in existing technologies. Attached Figure Description

[0022] The above description of this application and the following detailed embodiments will be better understood when read in conjunction with the accompanying drawings. It should be noted that the drawings are merely examples of the claimed technical solutions.

[0023] Figure 1 This is a flowchart of a method for managing cigarette packaging colors based on cultural imagery; Figure 2 This is a schematic diagram of the preset packaging color formula; Figure 3 This is a schematic diagram of the simulation rendering pipeline for packaging design; Figure 4 This is a schematic diagram of the system interface for color system library retrieval and management in an embodiment of the present invention; Figure 5 This is a comparative diagram showing the effect of applying the color scheme to the three-dimensional packaging model in this embodiment of the invention in three interactive modes (random combination mode, layer color scheme mode, and personalized customization mode). Detailed Implementation

[0024] The detailed features and advantages of this application are described below in the specific embodiments. The content of this description is sufficient to enable any person skilled in the art to understand the technical content of this application and implement it accordingly. Based on the specification, claims and drawings disclosed in this specification, a person skilled in the art can easily understand the related objectives and advantages of this application.

[0025] The invention will now be described with reference to the accompanying drawings, in which similar reference numerals denote similar elements. While specific structures and arrangements are discussed, it should be understood that this is done merely for illustrative purposes. Those skilled in the art will recognize that other structures and arrangements can be used without departing from the spirit and scope of the invention. It will be apparent to those skilled in the art that the invention can also be used in a variety of other applications.

[0026] In this specification and claims, several terms will be used, and unless otherwise indicated, these terms will be defined to have the following meanings: The singular forms “a” and “the” include their corresponding plural forms. “At least one” means one or more, and “more” means two or more. “At least one of the following” or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be expressed as: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0027] All figures used to represent component amounts, properties (e.g., molecular weight), reaction conditions, etc., should be considered to be modified in all cases by the terms "within the unavoidable margin of error" or "about". Therefore, the numerical values ​​set forth herein are approximate and may vary depending on the desired properties sought to be obtained by the present invention. The principle of equivalents, which is applied to a minimum and not intended to limit the scope of the claims, should be applied, for example, each value should be interpreted at least according to the specified significant digits and by applying conventional rounding techniques.

[0028] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0029] In the description of this embodiment, it should be noted that the terms "upper", "lower", "inner", "bottom", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product is usually placed during use. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0030] Unless otherwise indicated, the following abbreviations have the following meanings, and any other abbreviations used herein but not defined have their generally accepted standard meanings: All other terms used herein that are specifically defined herein shall have the general meaning understood by one of ordinary skill in the art, in particular meaning that, upon reading the claims, specification and drawings of this patent, one can directly and without doubt determine how the technical solution of this patent can be implemented.

[0031] Even if there are incomplete descriptions, omissions, or ambiguities in the grammar, words, punctuation, graphics, symbols, etc. of the claims, specification, and drawings of this patent, a person skilled in the art can still arrive at the only correct understanding by reading the claims, specification, and drawings as a whole without extensive reasoning or experimentation, and effectively exclude various incorrect interpretations that are not aimed at achieving the purpose of this patent.

[0032] Those skilled in the art would first choose to read the claims, specification, and drawings of this patent to reasonably interpret the terms; secondly, they would choose to refer to the relevant definitions in other documents published by the applicant before the filing date to reasonably interpret the terms; thirdly, they would choose the references cited in this patent to reasonably interpret the terms; and finally, they would choose to combine the technical dictionaries, technical manuals, reference books, textbooks, national or industry technical standards, etc., commonly used by those skilled in the art to reasonably interpret the terms.

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0034] Please refer to Figure 1 This application provides a method for color management of cigarette packaging based on cultural imagery. The specific steps of this method are as follows: Step S1: Obtain cultural imagery.

[0035] Cultural imagery includes one of the following: images of ancient architecture, images of traditional clothing, images of traditional handicrafts, and images of traditional paintings.

[0036] Step S1 includes: Step S11: Obtain the original cultural imagery.

[0037] Specifically, original cultural imagery images can be obtained by directly capturing physical cultural materials through image acquisition devices such as cameras and video cameras.

[0038] Alternatively, cultural images can be retrieved from a cultural resource library stored in the cloud or locally.

[0039] Alternatively, it can be uploaded and imported from the user's terminal, or obtained by crawling from publicly available resources on the Internet.

[0040] Step S12: Preprocess the original cultural imagery image to obtain the cultural imagery image.

[0041] Preprocessing includes at least one of image denoising, color correction, resolution normalization, and region cropping.

[0042] Step S2: Perform color analysis on the cultural imagery images to obtain a color feature dataset.

[0043] The color feature dataset includes primary color information, secondary color information, and accent color information.

[0044] Step S2 includes: Step S21: Convert the cultural imagery to the LAB color space or HSV color space.

[0045] Step S22: Use a clustering algorithm to perform color clustering on the image pixels of the cultural imagery to obtain K color clusters, where K is a preset positive integer.

[0046] The clustering algorithm can be one of the following: K-means clustering algorithm, mean-shift clustering algorithm, or DBSCAN clustering algorithm.

[0047] Step S23: Calculate the central color value of each color cluster and the pixel ratio of the color cluster in the cultural imagery image, and use the pixel ratio as the weight of the color.

[0048] Step S24: Sort the colors from largest to smallest according to their weight, determine the main color information in the top column, determine the secondary color information in the middle column, and determine the accent color information in the bottom column.

[0049] Specifically, based on the color weights from largest to smallest, the top two colors are designated as primary color information (accounting for approximately 55% to 65% of the total weight), the middle colors (accounting for approximately 25% to 35% of the total weight) are designated as secondary color information, and the last colors (accounting for approximately 5% to 15% of the total weight) are designated as accent color information. This division rule conforms to the "60:30:10 golden ratio" principle in color design. Taking the "Oriental Charm - Springtime Blossoms" scheme as an example, the seven color clusters are ordered as follows: deep red 35.2%, orange-yellow 24.8%, light yellow 12.1%, light gray 8.6%, gray-blue 7.4%, deep blue 6.5%, and dark brown 5.4%. Based on this, deep red and orange-yellow are determined as the main colors (60.0% in total), light yellow / light gray / gray-blue as the secondary colors (28.1% in total), and dark blue and dark brown as the accent colors (11.9% in total). The proportion distribution is close to the classic 60:30:10 golden ratio.

[0050] Step S3: Based on the color feature dataset, associate color features with cultural semantics, and combine them with packaging color formulas to construct a cultural image color library.

[0051] Step S3 includes: Step S31: Associate and map the color feature dataset with cultural semantic labels to establish the correspondence between color features and cultural semantics.

[0052] Cultural semantic tags include one or more combinations of descriptive words for artistic conception, emotional attribute words, and style positioning words.

[0053] Specifically, step S31 includes: Step S311: Preset a cultural semantic tag library, which includes multiple mood description words, emotional attribute words and style positioning words. Each semantic tag is associated with a corresponding color emotion feature vector.

[0054] Step S312: Calculate the overall emotional feature vector of the color system corresponding to the cultural imagery image based on the hue, saturation, and brightness attributes of each color component in the color feature data set.

[0055] Step S313: Perform similarity matching between the overall emotional feature vector and the feature vectors of each semantic tag in the cultural semantic tag library, and select semantic tags with similarity exceeding a preset threshold as the associated tags of the color system.

[0056] Step S314: Receive the user's confirmation or correction operation for the associated label, and bind and store the associated label with the color feature dataset.

[0057] Step S32: Based on each color component in the color feature dataset, generate spot color names according to preset naming rules, and convert each color component into standard color values ​​in the printing standard color space.

[0058] Specifically, step S32 includes: Step S321: Pre-set naming rule library. The naming rule library includes a set of naming root words classified by cultural theme. The set of naming root words includes traditional color name root words, natural image root words, and cultural allusion root words.

[0059] Step S322: Based on the cultural imagery origin of the color features, match the corresponding word roots from the naming root set and combine them to generate a special color name with cultural meaning.

[0060] Step S323: Convert the color values ​​of each color component from the color space at the time of extraction to four-channel values ​​in the CMYK color space to form standard color values, and bind the spot color name to the CMYK standard color value one-to-one to form a spot color standard record.

[0061] The naming format for spot color names can be "cultural root + color imagery word", so that the names of spot colors under the same color system have a unified cultural theme style.

[0062] Step S33: Link and store cultural imagery images, color feature datasets, cultural semantic tags, spot color names, and standard color values ​​to construct a structured color system database. Each color system scheme in the color system database contains a complete mapping chain of cultural origin, color card set, semantic tags, and standard color values.

[0063] Step S34: Based on the proportion and weight of each company's spot colors in the color system scheme and the color matching rules of color science, generate the packaging color formula, and combine it with the color system database to construct a cultural image color library.

[0064] like Figure 2 As shown, the packaging color formula includes: main color identifier, matching ratio formula, color matching method identifier, and color positioning identifier.

[0065] Among them, the main color identifier is the color with the largest weighting as the main color.

[0066] The matching ratio formula is to determine the matching ratio of the main color, auxiliary color, and accent color according to the preset golden ratio rule or color matching rule. The three colors in the matching ratio are 60:30:10, 70:25:5, or 50:30:20.

[0067] The color scheme method identifier is based on the positional relationship of colors on the color wheel to automatically determine the color scheme method type. The color scheme method type includes one of the following: analogous color scheme, adjacent color scheme, contrasting color scheme, split complementary color scheme, or triangular color scheme.

[0068] The color positioning identifier determines the color positioning type based on the overall brightness and saturation distribution. Color positioning types include light color, mid-tone, dark color, or vivid color.

[0069] Step S4: Input the product positioning information of the packaging to be designed into the cultural imagery color library for matching, and obtain at least one recommended color design scheme.

[0070] Step S4 includes: Step S41: In the cultural imagery color library, match the corresponding cultural semantic tags and packaging color formulas according to the product positioning information, sort them according to the matching degree, and obtain the recommended color design scheme.

[0071] Product positioning information includes at least one of the following: product type, price range, target audience, and style preferences. Based on the product positioning information, corresponding cultural semantic tags and packaging color formulas are matched to the color scheme, and candidate color schemes are recommended to the user in order of matching degree.

[0072] Step S42: Based on the recommended color design scheme determined by the user, apply the recommended color design scheme to the model layer corresponding to the packaging to be designed, so as to perform color simulation of the packaging to be designed.

[0073] like Figure 3 As shown, in response to the user's selection of the target recommended color design scheme, the recommended color design scheme is analyzed in a structured manner to extract the corresponding packaging color formula parameters and CMYK standard color value set.

[0074] Based on the standard conversion algorithm from printing color space to display color space, CMYK standard color values ​​are converted into RGB color values ​​adapted to screen display. Then, based on the RGB color values, the material texture maps of the main color layer, auxiliary color layer, and decorative color layer of the 3D packaging model are updated channel by channel.

[0075] Finally, a 3D real-time rendering engine is invoked to perform real-time lighting and shadow rendering on the packaging model with updated materials, outputting a high-fidelity packaging simulation effect image that supports 360° free rotation and interactive viewing.

[0076] The system automatically deploys the corresponding packaging color formulas and CMYK standard color values ​​from the recommended color design scheme to the corresponding layers of the packaging simulation model, thereby achieving automated color simulation from the color system scheme to the packaging model.

[0077] like Figure 4 and Figure 5 As shown below, the selection criteria for key parameters and algorithm configuration in this method will be explained in detail, taking into account the complete implementation process of the "Oriental Charm - Spring Blossoms" scheme.

[0078] (I) Clustering Algorithm and Criteria for Selecting K Value

[0079] This embodiment comprehensively compares the performance of three clustering algorithms—K-means, Mean Shift, and DBSCAN—on the task of color extraction from traditional cultural images. The K-means algorithm is computationally efficient, completing K=7 clustering for a 2048×2048 pixel image of the Forbidden City in approximately 1.5 seconds, with color differences ΔE between each cluster greater than 5.0, demonstrating good discriminative power. The Mean Shift algorithm does not require a preset number of clusters, but it has a high computational cost for high-resolution images (approximately 15 seconds per image), and the bandwidth parameter setting is sensitive to the results. The DBSCAN algorithm can automatically identify noise points, but it is prone to cluster splitting or incomplete clustering in images with uneven density distributions. Based on comprehensive evaluation, this embodiment selects K-means as the clustering algorithm and determines K=7 as the optimal parameter.

[0080] (II) Semantic similarity threshold selection and tag association process

[0081] In this embodiment, the specific calculation process of the emotional feature vector V_style = (hue warmth, brightness lightness, saturation vibrancy, contrast intensity, cultural association) is as follows: First, the LAB values ​​of the 7 color clusters are converted into HSV values; then, the hue warmth component is determined according to the angle of each color on the color wheel; and then, the brightness L... Determine the lightness / saturation components; based on saturation C The saturation activity component is determined; the contrast intensity component is determined based on the color difference ΔE between the primary and secondary colors; and the cultural association component is determined based on the cultural source tag (snow scene of the Forbidden City). The final weighted result is V_style=(0.82,0.45,0.68,0.55,0.85).

[0082] The vector was compared with the preset feature vectors of each tag in the cultural semantic tag library using cosine similarity calculation: the similarity of the "auspicious" tag was 0.89, the similarity of the "magnificent" tag was 0.86, and the similarity of the "warm" tag was 0.82, all exceeding the preset threshold of 0.75, and were selected into the candidate list; while the similarity of the "elegant" tag was 0.42 and the similarity of the "solemn" tag was 0.38, both below the threshold and were filtered out. After the designer confirmed on the system interface, these three semantic tags were officially associated and bound with the "Spring Blossoms - New Year's Beginning" color scheme.

[0083] (III) Automatic generation process of color formula

[0084] The system automatically generates recommended color formulas based on the proportion and weight of each spot color and color matching rules. Main color selection: "Luoshenzhu" (deep red, 35.2% monochromatic) with the largest proportion is marked as the main color. Matching ratio: The actual proportion (60.0%:28.1%:11.9%) has the smallest deviation from the preset template A (60:30:10) (deviation value 3.8), therefore, the "60:30:10 three-color golden ratio" is recommended. Color matching method judgment: The main color "Luoshenzhu" has a hue angle of approximately 5° (red zone), the auxiliary color "Luoshenxi" has a hue angle of approximately 35° (orange-yellow zone), the hue difference of 30° belongs to the adjacent color range; the accent color "Luoshenyuan" has a hue angle of approximately 220° (blue zone), located on the complementary side of the main color, and is judged as a "split complementary color scheme". Hue positioning judgment: Overall L =62.8, C =48.5, belongs to L =40~70 and C =30~60, judged as "P light tone".

[0085] (iv) Simulation Application and Effect Demonstration

[0086] After the designer selected the "Spring Blossoms - New Year's Beginning" scheme, the system automatically mapped the seven spot colors to the five layers of the Yellow Crane Tower cigarette box 3D packaging model according to the color formula. The rendering engine implemented PBR (Physically Based Rendering) material shading based on WebGL / Three.js, and the lighting environment was set to standard indoor light sources (color temperature 5000K) to make the simulation effect close to the physical prototype. See also Figure 5 The figure shows a comparison of the simulation effects under three color scheme interaction modes. Actual testing showed that using this method increased the first-time prototyping success rate from 40% to over 90% compared to the traditional method, and shortened the design cycle from an average of 6 weeks to 2 weeks.

[0087] Based on the same inventive concept, this application also provides a cigarette packaging color management system based on cultural imagery, which includes an acquisition module, an analysis module, a construction module, and a matching module.

[0088] The acquisition module is used to acquire cultural imagery images, which include one of the following: images of ancient buildings, images of traditional clothing, images of traditional handicrafts, and images of traditional paintings.

[0089] The analysis module is used to perform color analysis on cultural imagery images to obtain a color feature dataset, which includes primary color information, secondary color information, and accent color information.

[0090] The building module is used to associate color features with cultural semantics based on color feature datasets, and combine them with packaging color formulas to build a cultural image color library.

[0091] The matching module is used to input the product positioning information of the packaging to be designed into the cultural image color library for matching, and to obtain at least one recommended color design scheme. The product positioning information includes at least one of the following: product type, price range, target audience, and style preference.

[0092] Furthermore, the acquisition module is also used to acquire the original cultural imagery image; and to preprocess the original cultural imagery image to obtain the cultural imagery image. The preprocessing includes at least one of image denoising, color correction, resolution standardization, and region cropping.

[0093] Furthermore, the analysis module is also used to convert cultural imagery images to LAB or HSV color spaces; to perform color clustering on the image pixels of cultural imagery images using a clustering algorithm to obtain K color clusters, where K is a preset positive integer; to calculate the center color value of each color cluster and the pixel ratio of the color cluster in the cultural imagery image, and to use the pixel ratio as the proportion weight of the color; to sort the color information from largest to smallest according to the proportion weight, to determine the main color information at the top of the sort, the color information in the middle of the sort as the auxiliary color information, and the color information at the bottom of the sort as the accent color information.

[0094] Furthermore, the construction module is also used to map color feature datasets with cultural semantic tags, establishing a correspondence between color features and cultural semantics. Cultural semantic tags include one or more combinations of mood description words, emotional attribute words, and style positioning words. Based on each color component in the color feature dataset, spot color names are generated according to preset naming rules, and each color component is converted into standard color values ​​in the printing standard color space. Cultural imagery images, color feature datasets, cultural semantic tags, spot color names, and standard color values ​​are linked and stored to construct a structured color system database. Each color system scheme in the color system database contains a complete mapping chain of cultural origin, color card set, semantic tags, and standard color values. Based on the proportion and weight of each enterprise's spot colors in the color system scheme and color matching rules, packaging color formulas are generated, and combined with the color system database, a cultural imagery color library is constructed.

[0095] Furthermore, the construction module is also used to pre-set a cultural semantic tag library, which includes multiple mood description words, emotional attribute words, and style positioning words. Each semantic tag is associated with a corresponding color emotional feature vector. Based on the hue, saturation, and brightness attributes of each color component in the color feature dataset, the overall emotional feature vector of the color system corresponding to the cultural image image is calculated. The overall emotional feature vector is matched with the feature vectors of each semantic tag in the cultural semantic tag library for similarity, and semantic tags with similarity exceeding a preset threshold are selected as associated tags of the color system. The associated tags are then bound and stored with the color feature dataset.

[0096] Furthermore, the building module is also used to pre-configure a naming rule library, which includes a set of naming root words categorized by cultural themes. The set of naming root words includes traditional color name roots, natural image roots, and cultural allusion roots. Based on the cultural imagery source of the color features, the module matches the corresponding roots from the naming root word set and combines them to generate a special color name with cultural meaning. The module also converts the color values ​​of each color component from the color space at the time of extraction to four-channel values ​​in the CMYK color space to form standard color values.

[0097] Furthermore, the matching module is also used to match the corresponding cultural semantic tags and packaging color formulas in the cultural image color library according to the product positioning information, sort them according to the matching degree, and obtain recommended color design schemes; based on the recommended color design scheme determined by the user, the recommended color design scheme is applied to the model layer corresponding to the packaging to be designed, so as to perform color simulation of the packaging to be designed.

[0098] It should be noted that this application is based on the ability to design cigarette packaging that complies with the regulations of various governments or localities. For example, the Trademark Law Regulations stipulate that cigarettes must use registered trademarks, so the degree of design freedom is limited by the meaning and pattern of the registered trademark. Therefore, this method and its system are needed to assist in improving design efficiency.

[0099] It is understood that the cigarette packaging color management system provided in this application corresponds to the cigarette packaging color management method provided in this application. In order to keep the instructions concise, the same or similar parts can be referred to the content of the cigarette packaging color management method section, and will not be repeated here.

[0100] The various modules in the aforementioned cigarette packaging color management system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the server's processor in hardware form, or stored in the server's memory in software form, so that the processor can call and execute the corresponding operations of each module. The processor can be a central processing unit (CPU), a microprocessor, a microcontroller, etc.

[0101] The aforementioned cigarette packaging color management method and / or cigarette packaging color management system can be implemented in the form of a computer-readable instruction that can run on a computer system.

[0102] This application also provides a computer system including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the program, it implements the above-described cigarette packaging color management method.

[0103] The computer system can be a server. The computer system includes a processor, non-volatile storage medium, internal memory, input device, display screen, and network interface connected via a system bus. The non-volatile storage medium of the computer system can store an operating system and computer-readable instructions. When executed, these computer-readable instructions can cause the processor to execute a cigarette packaging color management method according to various embodiments of this application. The specific implementation process of this method can be found in [reference needed]. Figure 1 The specific details will not be elaborated here.

[0104] The processor of this computer system provides computing and control capabilities, supporting the operation of the entire system. The internal memory can store computer-readable instructions, which, when executed by the processor, cause the processor to perform a cigarette packaging color management method. The computer system's input devices are used for inputting various parameters, the computer system's display screen is used for display, and the computer system's network interface is used for network communication.

[0105] Based on the same inventive concept, this application provides a computer-readable storage medium storing computer-readable instructions, which, when executed by a processor, implement the steps in the above-described cigarette packaging color management method.

[0106] The memory in the embodiments of this application can be volatile memory or non-volatile memory, or it can include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), sync link DRAM (SLDRAM), and direct memory bus RAM (DR RAM).

[0107] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs.

[0108] When computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions according to the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means.

[0109] Computer-readable storage media can be any available medium that a computer can access, or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives (SSDs).

[0110] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0111] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0112] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0113] In the several embodiments provided in this application, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0114] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0115] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0116] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0117] In this specification, references to "an embodiment" or "a specific implementation" mean that a particular feature, structure, or characteristic described in connection with that embodiment / specific implementation is included in at least one embodiment / specific implementation of the invention. Therefore, the phrase "in one embodiment / specific implementation" appearing in various places in this specification does not necessarily refer to the same embodiment / setting, but rather to potentially different embodiments. Furthermore, specific features, structures, or characteristics may be combined in one or more embodiments / settings in any suitable manner, as will be apparent to those skilled in the art from this disclosure.

[0118] Similarly, it should be understood that in the above description of exemplary embodiments / specific implementations of the invention, various features of the invention are sometimes combined in a single embodiment / specific implementation or its figures and description, with the aim of simplifying the disclosure and aiding in the understanding of one or more of the various aspects of the invention. However, the method of description in this patent should not be construed as reflecting an intention that the claimed features of the invention are more than those expressly stated in each claim, except where explicitly stated otherwise or in obvious technical contradiction or exclusion. Rather, the inventive aspect reflected in the claims lies in not all the features of a single foregoing disclosed embodiment / specific implementation. Therefore, the claims following the detailed description are expressly incorporated herein by reference, each claim existing independently as a separate embodiment / specific implementation of the invention.

[0119] Furthermore, while some embodiments / specific implementations described herein include, but are not limited to, other features included in other embodiments / specific implementations, combinations of features from different embodiments / specific implementations are intended to be within the scope of the invention and form different embodiments / specific implementations, as will be understood by those skilled in the art. For example, in the following claims, embodiments / specific implementations of any claim can be used in any combination.

[0120] The terms and expressions used in this specification are for illustrative purposes and not for limitation. In using these terms and expressions, it is not intended to exclude any equivalents of the features or portions thereof shown and described, but rather to recognize that various modifications may be possible within the scope of the invention.

[0121] Therefore, it should be understood that although the invention has been specifically disclosed through preferred embodiments, exemplary embodiments and optional features, those skilled in the art may take variations or modifications of the concepts disclosed herein, and such variations and modifications are therefore considered to be within the scope of the invention as defined by the appended claims.

[0122] The specific embodiments given in this specification are examples of useful implementations of the present invention. It will be apparent to those skilled in the art that the present invention can be implemented using many variations of the devices, device components, and method steps disclosed in this specification.

[0123] The foregoing description of specific embodiments fully discloses the general features of the present invention, enabling others to easily modify and / or adapt such specific embodiments for various applications by applying knowledge within the scope of the art, without conducting excessive experimentation and without departing from the general concept of the present invention.

[0124] Therefore, based on the teachings and guidance provided herein, it is intended that such modifications and alterations be included within the meaning and scope of equivalents of the disclosed embodiments. It should be understood that the wording or terminology used herein is for descriptive purposes and is not intended to be limiting; thus, the wording or terminology in this specification will be interpreted by those skilled in the art based on the foregoing teachings and guidance.

[0125] Furthermore, the scope of the invention should not be limited to any of the exemplary embodiments described above, but only to the appended claims and their equivalents.

Claims

1. A method for color management of cigarette packaging based on cultural imagery, characterized in that, The cigarette packaging color management method includes: Step S1: Obtain cultural imagery images, which include one of the following: images of ancient architecture, images of traditional clothing, images of traditional handicrafts, and images of traditional paintings; Step S2: Perform color analysis processing on the cultural image to obtain a color feature dataset, which includes primary color information, secondary color information, and accent color information; Step S3: Based on the color feature dataset, associate the color features with cultural semantics, and combine them with the packaging color formula to construct a cultural image color library; Step S4: Input the product positioning information of the packaging to be designed into the cultural imagery color library for matching to obtain at least one recommended color design scheme. The product positioning information includes at least one of the following: product type, price range, target audience, and style preference.

2. The method for managing cigarette packaging color based on cultural imagery according to claim 1, characterized in that, Step S1 includes: Step S11: Obtain the original cultural imagery; Step S12: Preprocess the original cultural image to obtain the cultural image. The preprocessing includes at least one of image denoising, color correction, resolution standardization, and region cropping.

3. The method for managing cigarette packaging color based on cultural imagery according to claim 1, characterized in that, Step S2 includes: Step S21: Convert the cultural imagery to the LAB color space or HSV color space; Step S22: Use a clustering algorithm to perform color clustering on the image pixels of the cultural image to obtain K color clusters, where K is a preset positive integer; Step S23: Calculate the center color value of each color cluster and the pixel ratio of the color cluster in the cultural imagery image, and use the pixel ratio as the proportion weight of the color. Step S24: Sort the colors from largest to smallest according to their weights, determine the color information at the top of the sort as the primary color information, the color information in the middle of the sort as the secondary color information, and the color information at the bottom of the sort as the accent color information.

4. The method for managing cigarette packaging color based on cultural imagery according to claim 1, characterized in that, Step S3 includes: Step S31: Associate and map the color feature dataset with cultural semantic tags to establish a correspondence between color features and cultural semantics. The cultural semantic tags include one or more combinations of mood description words, emotional attribute words, and style positioning words. Step S32: Based on each color component in the color feature dataset, generate spot color names according to preset naming rules, and convert each color component into standard color values ​​in the printing standard color space; Step S33: The cultural imagery image, the color feature dataset, the cultural semantic label, the spot color name and the standard color value are associated and stored to construct a structured color system database. Each color system scheme in the color system database contains a complete mapping chain of cultural source, color card set, semantic label and standard color value. Step S34: Based on the proportion and weight of each enterprise's spot color in the color system scheme and the color matching rules of color science, generate the packaging color formula, and combine it with the color system database to construct the cultural image color library.

5. The method for managing cigarette packaging color based on cultural imagery according to claim 4, characterized in that, Step S31 includes: Step S311: Preset a cultural semantic tag library, which includes multiple mood description words, emotional attribute words and style positioning words, and each semantic tag is associated with a corresponding color emotional feature vector; Step S312: Calculate the overall emotional feature vector of the color system corresponding to the cultural imagery image based on the hue, saturation, and brightness attributes of each color component in the color feature data set; Step S313: Perform similarity matching between the overall emotional feature vector and the feature vectors of each semantic tag in the cultural semantic tag library, and select semantic tags with similarity exceeding a preset threshold as the associated tags of the color system; Step S314: Bind and store the associated labels with the color feature dataset.

6. The method for managing cigarette packaging color based on cultural imagery according to claim 4, characterized in that, Step S32 includes: Step S321: Pre-set naming rule library, the naming rule library includes a set of naming root words classified by cultural theme, the set of naming root words includes traditional color name root words, natural image root words, and cultural allusion root words; Step S322: Based on the cultural imagery source of the color features, match the corresponding word roots from the naming root set and combine them to generate the spot color name with cultural meaning; Step S323: Convert the color values ​​of each color component from the color space at the time of extraction to four-channel values ​​in the CMYK color space to form the standard color values.

7. The method for managing cigarette packaging color based on cultural imagery according to claim 4, characterized in that, The packaging color formula includes: main color identifier, matching ratio formula, color matching method identifier, and color positioning identifier. The main color identifier is selected as the color with the highest weighting. The matching ratio formula is to determine the matching ratio of the main color, auxiliary color, and accent color according to the preset golden ratio rule or color matching rule. The three colors in the matching ratio are 60:30:10, 70:25:5, or 50:30:

20. The color matching method is identified by automatically determining the color matching method type based on the positional relationship of colors on the color wheel. The color matching method type includes one of the following: analogous color matching, adjacent color matching, contrasting color matching, split complementary color matching, or triangular color matching. The color positioning identifier is used to determine the color positioning type based on the overall brightness and saturation distribution. The color positioning type includes light color, mid-tone, dark color, or vivid color.

8. The method for managing cigarette packaging color based on cultural imagery according to claim 1, characterized in that, Step S4 includes: Step S41: In the cultural imagery color library, match the corresponding cultural semantic tags and the packaging color formula according to the product positioning information, sort them according to the matching degree, and obtain the recommended color design scheme; Step S42: Based on the recommended color design scheme determined by the user, apply the recommended color design scheme to the model layer corresponding to the packaging to be designed, so as to perform color simulation on the packaging to be designed.

9. A cigarette packaging color management system based on cultural imagery, characterized in that, The cigarette packaging color management system includes an acquisition module, an analysis module, a construction module, and a matching module. The acquisition module is used to acquire cultural imagery images, which include one of the following: images of ancient buildings, images of traditional clothing, images of traditional handicrafts, and images of traditional paintings. The analysis module is used to perform color analysis processing on the cultural imagery to obtain a color feature dataset, which includes primary color information, secondary color information, and accent color information. The construction module is used to associate color features with cultural semantics based on the color feature dataset, and to construct a cultural image color library in combination with packaging color formulas. The matching module is used to input the product positioning information of the packaging to be designed into the cultural image color library for matching, and to obtain at least one recommended color design scheme. The product positioning information includes at least one of the following: product type, price range, target audience, and style preference.

10. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the cigarette packaging color management method based on cultural imagery as described in any one of claims 1-8.

Images