Colored beewax tablet and preparation method thereof
By constructing a beeswax tablet dyeing database and using image analysis technology, beekeepers can prepare colored beeswax tablets of the target color, which solves the problems of monotonous honey product forms and low consumer participation, and achieves diversification of honey products and improved consumer experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-29
- Publication Date
- 2026-04-03
AI Technical Summary
Traditional honey products are monotonous and fail to attract consumers, who also lack the opportunity to participate in the honey production process and thus lack a experiential element. Existing methods of feeding honeycomb with colored honeycomb do not meet the requirements for edibility.
By constructing a database using image analysis technology, matching the threshold range of the mass ratio of key components for beeswax tablet dyeing, and providing a method for preparing colored beeswax tablets, beeswax tablets of the target color are prepared by mixing edible oil and lipstick powder.
Beekeepers can quickly prepare beeswax tablets of the desired color without any professional knowledge, enriching product offerings, improving user experience, and expanding honey sales channels.
Smart Images

Figure CN121774159A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of honeycomb technology, and more particularly to a colored beeswax sheet and its preparation method. Background Technology
[0002] Honeycomb, also known as "honeycomb," is a honeycomb that has been matured by bees and sealed with a wax cap. It is a mature honey composed of two parts: honeycomb and honey. It is also called "capped honey." Its nutritional components and active substances are much higher than those of ordinary honey. Honeycomb contains rich biological enzymes, vitamins, and various trace elements, and has better health care and disease treatment effects, making it the best quality honey.
[0003] The traditional honey production process involves beekeepers fixing honeycomb foundations onto rectangular frames (either flat or flat), then installing these frames one by one into the beehive for bees to build and fill with honey. Once the honey is obtained, beekeepers collect the honeycomb frames, cut, portion, and package them according to consumer demand, and finally deliver them to consumers. However, this traditional production method faces the following problems: 1) From a marketing perspective, because the honey is cut and packaged into plastic or glass bottles or jars, the final product presented to consumers is relatively monotonous. This not only fails to attract consumers but also fails to increase the product's distinctiveness among numerous bee products, thus hindering the expansion of honey sales. Therefore, there is a growing demand for new forms of honey products to expand sales channels. 2) From the consumer's perspective, the entire process, from honeycomb production to receiving the honey product, involves no involvement from any stage and provides no information about any step in the honey-making process. In other words, the entire honey production process is almost entirely isolated from the consumer. However, in today's trendy society, this undoubtedly greatly reduces the consumer's experience and sense of participation. On the other hand, in today's society, with the increasing popularity of combining hands-on experience with teaching, more and more schools are sending students or parents to farms or product production sites for on-site observation, and even allowing them to participate in certain processes. However, due to safety concerns, even when consumers or children visit the site, they can usually only observe from the outside of the beehive, or have beekeepers remove the honeycomb frames for observation. External observation alone cannot provide a truly in-depth understanding or learning about beehive structure and living habits. In view of the aforementioned market demand, the applicant proposes a method that allows consumers to participate in the design of a new and feasible honeycomb structure, enabling customization of honeycomb / honeycomb, thereby enriching product offerings and improving user experience. See Chinese Invention Patent CN116227885B.
[0004] To further enrich its product line, expand sales channels, and increase beekeepers' income, the applicant proposed a colored beeswax sheet, which beekeepers could use to feed honeybees, thus obtaining colored honeycombs. The earliest reported example of colored honeycombs in my country was found in 2010 at the Lushan Tea Plantation. (See [link to relevant documentation]). Figure 1 A 2016 report in the British newspaper *Daily Mail* on April 17th described how students at the University of Florence in Italy fed wasps with colored confetti, resulting in the wasps building a brightly colored hive. (See also...) Figure 2 While feeding bees with colored paper scraps can produce colorful honeycomb, it does not meet the requirements for edibility. Given that beeswax is frequently used in other edible products, such as lipstick and children's crayons (e.g., CN116869865A), this applicant proposes a method for preparing colored beeswax flakes. Summary of the Invention
[0005] The purpose of this invention is to provide a colored beeswax tablet and a method for preparing the same, which partially solves or alleviates the above-mentioned deficiencies in the prior art. It can help beekeepers determine the critical ratio threshold range of the two key components required to prepare beeswax tablets of the target color, so that even beekeepers without professional knowledge can easily prepare beeswax tablets of the target color.
[0006] To solve the aforementioned technical problems, the present invention specifically adopts the following technical solution:
[0007] A first aspect of the present invention is to provide a method for preparing colored beeswax sheets, comprising the steps of:
[0008] The system acquires the image to be recognized input by the user and performs image analysis to obtain the hue, brightness, and color saturation of the image to be recognized.
[0009] Based on the hue, brightness, and color saturation of the image to be identified, the key component quality ratio threshold range corresponding to the image to be identified is matched in a pre-built database, and the key component quality ratio threshold range is output, so that the user can configure beeswax tablets and lipstick powder according to the key component quality ratio threshold range and perform beeswax tablet dyeing.
[0010] The step of pre-constructing the database specifically includes the following steps:
[0011] Multiple sample images were obtained by acquiring beeswax tablets of different colors under the same lighting conditions using an image acquisition device. The beeswax tablets were colored beeswax tablets obtained by pre-dyeing beeswax raw materials with different colors of lipstick powder. For each color of beeswax tablet, the mass ratio of the key components, beeswax raw materials and lipstick powder, was different.
[0012] All sample images are grouped according to a preset rule to obtain multiple image groups; the preset rule is to perform visual identification under natural lighting conditions, and to divide multiple sample images that are visually identified as having the same color into the same group, so that each image group includes multiple sample images with the same hue but different saturation and brightness.
[0013] Each sample image is labeled with a corresponding key component mass ratio and image group identifier, and the key component mass ratio threshold range, brightness threshold range, and color saturation threshold range corresponding to each image group are obtained; wherein, the key component mass ratio is the mass ratio of beeswax raw material to edible lipstick powder.
[0014] In some embodiments, the step of matching the corresponding key component quality ratio threshold range in a pre-built database based on the hue, brightness, and color saturation of the image to be identified specifically includes the following steps:
[0015] Based on the hue of the image to be identified, multiple sample images that match the same hue are grouped together as candidate image groups;
[0016] The brightness and saturation values of the image to be identified are compared with the brightness threshold range and color saturation threshold range of each candidate image group, respectively.
[0017] If the brightness value and color saturation threshold of the image to be identified belong to the brightness threshold range and color saturation threshold range of the same candidate image group, the candidate images are determined to be the target image group.
[0018] The key component quality ratio threshold range corresponding to the target image group is output as the output target.
[0019] In some embodiments, the maximum value of the critical quality ratio threshold range is the critical component quality ratio of the sample image with the highest critical component quality ratio in the image group, and the minimum value is the critical component quality ratio of the sample image with the lowest critical component quality ratio in the image group.
[0020] In some embodiments, the step of pre-dyeing the beeswax raw material with different colored lipstick powders specifically includes the following steps:
[0021] S201, add edible oil of mass m1 to a container;
[0022] S203, add beeswax blocks with a mass of m2 to a container, then heat to melt the beeswax and stir to mix it with the edible oil to obtain a viscous mixture;
[0023] S205, add m3 of lipstick powder of a specified hue to a container, and then stir to fully mix it with the above mixture to obtain a mixed wax liquid; wherein, the specified hue is red, green, or purple; wherein, the ratio of m1, m2 and m3 is 20:100:1 to 5;
[0024] S207, the mixed wax liquid is left to stand at room temperature and finally solidified to obtain colored beeswax flakes.
[0025] In some embodiments, before performing step S203, the following step is further included:
[0026] S301, determine whether the mass m2 of the beeswax block is greater than a preset mass threshold. If yes, proceed to step S203; otherwise, proceed to step S303.
[0027] S303, based on the preset quality threshold, cut the beeswax block into N small pieces, and divide the edible oil into n groups. Then, place each small piece in each group of the edible oil and heat it to melt the beeswax in each small piece to mix with the edible oil. Execute step S305.
[0028] S305: Mix the various mixtures together and stir, then proceed to S205.
[0029] In some embodiments, the edible oil is soybean oil or other vegetable oil.
[0030] In some embodiments, while outputting the critical component mass ratio threshold range, an optimal critical component mass ratio is also output; the optimal critical component mass ratio is:
[0031] The key component quality ratio of the sample image corresponding to the sample image with the smallest difference between the color saturation value and the color saturation value of the image to be identified in the target image group; or,
[0032] The key combination quality ratio of the sample image in the target image group that has the smallest difference in brightness value between itself and the brightness value of the image to be identified, and also has the smallest difference in color saturation value between itself and the color saturation value of the image to be identified.
[0033] A second aspect of the present invention is to provide an auxiliary device for assisting in the preparation of colored beeswax flakes, comprising:
[0034] A database is used to store a table showing the correspondence between the key component quality ratio threshold range and the hue / brightness / color saturation threshold range for different pre-obtained image groups; each image group includes multiple sample images with the same hue but different saturation and brightness, and the key component quality ratios of the multiple sample images in the same group are different; the sample images are obtained in advance by dyeing beeswax raw materials with lipstick powder.
[0035] The image acquisition module is used to acquire the image to be recognized input by the user; the image to be recognized is a solid color image.
[0036] The image processing module is used to perform image analysis on the image to be identified, obtain the hue, brightness and color saturation of the image to be identified, and match the corresponding key component quality ratio threshold range in the database based on the hue, brightness and color saturation of the image to be identified, and output the key component quality ratio threshold range.
[0037] In some embodiments, the image processing module specifically includes:
[0038] An image processing unit is used to perform image analysis on the image to be identified, and obtain the hue, brightness and color saturation of the image to be identified;
[0039] A hue comparison unit is used to compare the hue of the image to be identified with the hue of each image group in the database to obtain at least one image group as a candidate image group.
[0040] The key component ratio determination unit is used to compare the brightness value and color saturation value of the image to be identified with the brightness threshold range and color saturation threshold range of each candidate image group, respectively. If the brightness value of the image to be identified belongs to the brightness threshold range and its color saturation threshold is within the color saturation threshold range, the candidate image is determined as the target image group, and the key component quality ratio threshold range corresponding to the target image group is output.
[0041] In some embodiments, the image processing module further includes: an optimal quality ratio determination unit, configured to calculate the difference in brightness and color saturation between the brightness value and color saturation value of the image to be identified and the difference in brightness and color saturation between each sample image in the target image group, and output the key component quality ratio corresponding to the sample image with the smallest difference in brightness and the smallest difference in color saturation as the optimal key component quality ratio, or output the key component quality ratio corresponding to the sample image with the smallest difference in brightness, or output the key component quality ratio corresponding to the sample image with the smallest difference in color saturation as the optimal key component quality ratio.
[0042] A third aspect of the present invention is to provide a colored beeswax sheet prepared by the above preparation method, comprising edible oil, beeswax and lipstick powder, wherein the mass ratio of the three is 20:100:1 to 5.
[0043] Beneficial Effects: Beeswax tablets are commonly used in the preparation of other edible products, such as lipsticks and children's crayons, and these are industrially produced, meaning that the mass ratios of the key components are configured using specialized equipment and by professional personnel. However, for beekeepers, without professional knowledge, it is impractical to achieve the desired target color by adjusting the mass ratios of the key components. Therefore, how to help beekeepers quickly determine the mass ratios of the key components of beeswax tablets with the desired target color becomes a key issue. To solve this problem, this application pre-prepared beeswax tablets of different colors through extensive experiments and labeled the corresponding key component mass ratios and color parameter values (hue, brightness, and saturation) for their sample images. Then, a database of the correspondence between key component mass ratios and color parameter values was constructed, allowing beekeepers to directly input images of the desired target color (of course, only one color image without other interference), perform image analysis to obtain the corresponding color parameter values, and then match them to the corresponding key component mass ratios (e.g., the key component mass ratio corresponding to the sample image with the same hue and the smallest difference in brightness and saturation).
[0044] Furthermore, to the naked eye, beekeepers and consumers may perceive many sample images of colored beeswax flakes as the same color, especially when the colors are very similar (e.g., very small differences in hue, brightness, and saturation, or the same hue but small differences in brightness and saturation). Therefore, to reduce computational load and help beekeepers quickly determine the key component quality ratio, this application pre-groups multiple sample images and labels each group with the corresponding key component quality ratio threshold range and color parameter threshold range (i.e., hue, brightness, and saturation threshold range), allowing beekeepers to directly select the target color (…). The desired color image (e.g., downloaded from the internet or captured on-site by a mobile phone) is sent to an auxiliary device for image analysis. This process yields the hue, brightness, and color saturation of the target color, and matches it to a corresponding image group (i.e., multiple images that appear to be the same or similar colors to the naked eye under natural lighting conditions). This allows beekeepers to quickly obtain the quality ratio threshold range for each image group. Beekeepers can then simply use this threshold range to mix beeswax raw materials and edible lipstick powder to produce beeswax flakes of the target color. In other words, beekeepers do not need specialized knowledge to quickly determine the quality ratio of these two key components. Attached Figure Description
[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. The elements or parts in the drawings are not necessarily drawn to scale. Obviously, the drawings described below are some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.
[0046] Figure 1 This is an illustration of a colored beehive discovered at a tea plantation in Lushan, as reported in 2010.
[0047] Figure 2 The colored honeycomb prepared for the University of Florence, Italy, as reported by the Daily Mail in 2016;
[0048] Figure 3 This is a schematic flowchart illustrating a method for preparing colored beeswax sheets according to an exemplary embodiment of the present invention.
[0049] Figure 4 This is a schematic diagram of the functional modules of an auxiliary device for assisting in the preparation of colored beeswax sheets, which is an exemplary embodiment of the present invention.
[0050] Figures 5a to 5c These are examples of a set of sample images obtained by staining and labeling beeswax tablets through preliminary experiments;
[0051] Figure 6 To utilize Figure 3 The beeswax sheets prepared by the method shown are used to construct a colored honeycomb using foundation materials. Detailed Implementation
[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0053] In this document, suffixes such as "module," "part," or "unit" used to denote elements are used only for the purpose of illustrative purposes and have no specific meaning in themselves. Therefore, "module," "part," or "unit" may be used interchangeably.
[0054] In this document, the terms "upper," "lower," "inner," "outer," "front," "rear," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the present invention and for 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 the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0055] In this document, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, a direct connection, or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.
[0056] In this document, "and / or" includes any and all combinations of one or more of the listed related items. "Multiple" in this document means two or more, i.e., it includes two, three, four, five, etc.
[0057] In this specification, certain embodiments may be disclosed in a range-bound format. It should be understood that this "range-bound" description is merely for convenience and brevity and should not be construed as a rigid limitation on the disclosed range. Therefore, the description of the range should be considered as having specifically disclosed all possible subranges and independent numerical values within those ranges. For example, range The description should be considered as having specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6, etc., as well as individual numbers within this range, such as 1, 2, 3, 4, 5, and 6. The above rules apply regardless of the breadth of the range.
[0058] In this article, "colored beeswax tablets" refers to beeswax tablets that appear to be only one color to the naked eye under natural light conditions. For example... Figures 5a-5c As shown, the three sample images appear to be the same color to the naked eye under natural lighting conditions; therefore, they are grouped into one image group.
[0059] In this article, "edible" means that the component or material is edible. For example, colored beeswax sheets used as honeycomb foundation are edible; similarly, lipstick powder made from various beeswaxes and organic plant materials is edible. Of course, since these colored beeswax sheets and lipstick powder are not food products, their edibility requirements are far lower than those for food products.
[0060] Example 1: See Figure 3 This is a flowchart illustrating a method for preparing colored beeswax sheets according to an exemplary embodiment of the present invention. Specifically, the preparation method of this exemplary embodiment includes the following steps:
[0061] S101, construct a database storing multiple image groups, wherein each image group corresponds to a key component quality ratio threshold range and a brightness / color saturation threshold range, and the hue of each sample image in each image group is the same.
[0062] In some embodiments, hue is represented by angles of 0°–360°, and a 12-hue color wheel is obtained by dividing the hue into 30° intervals; the same hue refers to hues within the same angular range (e.g., hue values of 91°–120°). Of course, in other embodiments, other angular divisions can be used, for example, dividing the hue into 15° intervals to obtain a 24-hue color wheel.
[0063] In some embodiments, the database can be constructed through extensive preliminary experiments. Specifically, step S101 includes:
[0064] S1011, use an image acquisition device to acquire beeswax sheets of different colors under the same lighting conditions to obtain multiple sample images.
[0065] In some embodiments, the image acquisition device may be a camera. In some embodiments, the same lighting environment refers to natural lighting conditions or incandescent lighting conditions.
[0066] In some embodiments, the beeswax tablets in step S101 are beeswax tablets obtained by pre-dyeing beeswax raw materials with different colored lipstick powders, and the mass ratio of the key components of beeswax raw materials and lipstick powder is different for each color of beeswax tablet.
[0067] S1013, group all sample images according to preset rules to obtain multiple image groups.
[0068] In some embodiments, the preset rules include: performing visual identification under natural lighting conditions, grouping multiple sample images that are visually perceived as having the same color into the same group, such that each image group includes multiple sample images with the same hue but different saturation and brightness, such as... Figures 5a-5c The set of images shown.
[0069] S1015 marks the key component quality ratio and image group identifier for each sample image, and obtains the key component quality ratio threshold range and HSB threshold range for each image group.
[0070] In some embodiments, the mass ratio of the above-mentioned key components is the mass ratio of beeswax raw material to edible lipstick powder.
[0071] In some embodiments, step S1015 may be manually marked by an expert.
[0072] S103: Obtain the image to be recognized input by the user, and perform image analysis to obtain the hue, brightness, and color saturation of the image to be recognized.
[0073] In some embodiments, users can directly search for their desired target color on their user terminal, for example, by searching online or in their photo album. Alternatively, they can take a photo on-site (e.g., of a color chart) and upload it to the system for image analysis. However, since uploaded images may be large, a target area needs to be specified before image analysis, and then image analysis will be performed on that target area to obtain its HSB value.
[0074] S105, based on the hue, brightness and color saturation of the image to be identified, the corresponding key component mass ratio threshold range is matched in the database constructed in step S101, and the key component mass ratio threshold range is output, so that the user can configure beeswax tablets and lipstick powder according to the key component mass ratio threshold range and perform beeswax tablet dyeing.
[0075] In some embodiments, step S501 specifically includes the following steps:
[0076] First, based on the hue of the image to be identified, multiple sample images that match the same hue are grouped together as candidate image groups;
[0077] Then, the brightness and saturation values of the image to be identified are compared with the brightness threshold range and color saturation threshold range of each candidate image group, respectively.
[0078] If the brightness value and color saturation threshold of the image to be identified belong to the brightness threshold range and color saturation threshold range of the same candidate image group, respectively, the candidate image is determined as the target image group, and the corresponding key component quality ratio threshold range is output as the output target.
[0079] In other embodiments, if it is determined that the brightness value and color saturation threshold of the image to be identified belong to the brightness threshold range and color saturation threshold range of different candidate image groups, respectively, the candidate image group to which the color saturation threshold belongs is taken as the target image group based on the saturation value.
[0080] Typically, due to lighting and other factors, different areas of the same image may have slight deviations when captured (such as sample images or images taken by the user on-site). Therefore, before performing image analysis (such as picking its HSB value) on the acquired image, a target area can be specified first, and then image analysis (such as extracting the corresponding HSB) can be performed on the target area. Alternatively, the system can automatically divide the image into regions and remove regions with large differences (for example, the difference between the brightness and / or saturation and the mean is greater than a preset threshold), and then use the mean of the remaining regions as the HSB value of the image.
[0081] In some embodiments, the step of pre-dyeing the beeswax raw material with different colored lipstick powders specifically includes the following steps:
[0082] S201, add edible oil of mass m1 to a container.
[0083] In some embodiments, to prevent the resulting colored beeswax flakes from adhering to the container surface and being difficult to peel off, a certain mass of edible oil is added to the container beforehand; that is, the inner surface of the container is coated with edible oil, making the subsequently dyed beeswax flakes easier to peel off from the container. The edible oil is soybean oil or other vegetable oil. Although some edible oils, such as soybean oil, have a certain color, their small mass has little impact on the color. Of course, to better avoid interference, colorless or light-colored edible oils can be used.
[0084] S203, add a beeswax block with a mass of m2 to a container, then heat to melt the beeswax and stir to mix it with edible oil to obtain a viscous mixture.
[0085] S205, add m3 of a specified color of lipstick powder to a container, and then stir to fully mix it with the above mixture to obtain a mixed wax liquid.
[0086] In some embodiments, the specified color is red, or green, or purple.
[0087] In some embodiments, the mass ratio of edible oil, beeswax block, and lipstick powder is m1:m2:m3 = 20:100:1-5. Since bees consume the beeswax block and ultimately form a foundation and inject honey on it, resulting in a colored honeycomb (such as...),... Figure 6 (As shown) is edible, or it can be purely ornamental. However, in order to ensure both ornamental value and edibility, the mass ratio of the added edible lipstick powder is controlled in this embodiment.
[0088] In some embodiments, 100g of soybean oil is added to a container and heated and stirred to prevent the added beeswax from sticking to the surface of the container; 500g of beeswax is added to the container and heated to melt the beeswax into a (viscous) state; 5g of red, green, or purple lipstick powder is added to the container and stirred (stirring slowly in the initial stage to ensure that the beeswax and lipstick powder are fully mixed; after complete mixing, the stirring speed is increased to ensure the uniformity and texture of the colored beeswax) to completely dissolve it in the beeswax; the mixed wax liquid in the container is left to stand at room temperature to solidify and obtain colored beeswax flakes.
[0089] S207 involves letting the mixed wax liquid stand at room temperature until it solidifies to obtain colored beeswax flakes.
[0090] Example 2: The preparation method of this example includes all the steps in Example 1 above. The difference is that, in this example, the preparation method outputs the optimal mass ratio of the key components while outputting the threshold range of the mass ratio of the key components.
[0091] In some embodiments, the optimal key component quality ratio is found in the matched image groupings:
[0092] The key combination quality ratio corresponding to the sample image with the smallest difference between its color saturation and the color saturation of the image to be identified; or,
[0093] The key combination quality ratio corresponds to the sample image with the smallest difference in brightness between itself and the image to be identified, and also with the smallest difference in color saturation between itself and the image to be identified.
[0094] Of course, preferably, the key combination quality ratio corresponding to the sample image with the smallest difference in brightness and the smallest difference in color saturation is the optimal key component quality ratio; if this cannot be satisfied, then the key combination quality ratio corresponding to the sample image with the smallest difference in color saturation is the optimal key component quality ratio.
[0095] Example 3: The preparation method of this example includes all the steps in Example 1 above. The difference is that, before performing step S203, this example also includes the following step:
[0096] S301, determine whether the mass m2 of the beeswax block is greater than the preset mass threshold. If yes, proceed to step S203; otherwise, proceed to step S303.
[0097] S303, based on a preset quality threshold, cut the beeswax block into N small pieces, and divide each piece into N groups. Then, place each small piece in the edible oil of each group and heat it to melt the beeswax and mix it with the edible oil. Then, proceed to step S305.
[0098] S305, mix the various mixtures together and stir, then proceed to step S205.
[0099] Because beeswax blocks melt little by little, if their mass or volume is too large, the first part to melt may become mushy during the melting process. Therefore, in order to avoid this problem, in this embodiment, the larger beeswax blocks are pre-cut into multiple smaller pieces, melted separately, and then mixed together before being mixed with edible lipstick powder.
[0100] Example 3: See Figure 4 This is a functional module diagram of an auxiliary device according to an exemplary embodiment of the present invention. Specifically, the auxiliary device includes:
[0101] A database is used to store a table showing the correspondence between the key component quality ratio threshold range and the hue / brightness / color saturation threshold range for different pre-obtained image groups; each image group includes multiple sample images with the same hue but different saturation and brightness, and the key component quality ratios of the multiple sample images in the same group are different; the sample images are obtained by pre-dyeing beeswax raw materials with lipstick powder.
[0102] The image acquisition module is used to acquire the image to be recognized input by the user; wherein, the image to be recognized is a solid color image; specifically, the solid color image refers to an image that appears to have only one color to the naked eye;
[0103] The image processing module is used to perform image analysis on the image to be identified, obtain the hue, brightness, and color saturation of the image to be identified, and match the corresponding key component quality ratio threshold range in the database based on the hue, brightness, and color saturation of the image to be identified, and output the key component quality ratio threshold range.
[0104] In some embodiments, the image processing module specifically includes:
[0105] The image processing unit is used to perform image analysis on the above-mentioned image to be identified, and obtain its hue, brightness and color saturation.
[0106] The hue comparison unit is used to compare the hue of the image to be identified with the hue of each image group in the database to obtain at least one image group as a candidate image group (e.g., to obtain the group identifier number of the image group).
[0107] The key component ratio determination unit is used to compare the brightness value and color saturation value of the image to be identified with the brightness threshold range and color saturation threshold range of each candidate image group, respectively. If the brightness value of the image to be identified belongs to the brightness threshold range and its color saturation threshold is within the color saturation threshold range, the candidate image is determined as the target image group, and the key component quality ratio threshold range corresponding to the target image group is output.
[0108] In some embodiments, the image processing module further includes: an optimal quality ratio determination unit, configured to calculate the difference in brightness and color saturation between the image to be identified and each sample image in the target image group, and output the key component quality ratio corresponding to the sample image with the smallest difference in brightness and the smallest difference in color saturation as the optimal key component quality ratio, or output the key component quality ratio corresponding to the sample image with the smallest difference in color saturation as the optimal key component quality ratio.
[0109] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0110] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a computer terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.
[0111] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.
Claims
1. A method for preparing colored beeswax sheets, characterized in that, Including the following steps: The system acquires the image to be recognized input by the user and performs image analysis to obtain the hue, brightness, and color saturation of the image to be recognized. Based on the hue, brightness, and color saturation of the image to be identified, the key component quality ratio threshold range corresponding to the image to be identified is matched in a pre-built database, and the key component quality ratio threshold range is output, so that the user can configure beeswax tablets and lipstick powder according to the key component quality ratio threshold range and perform beeswax tablet dyeing. The step of pre-constructing the database specifically includes the following steps: Multiple sample images were obtained by acquiring beeswax tablets of different colors under the same lighting conditions using an image acquisition device. The beeswax tablets were colored beeswax tablets obtained by pre-dyeing beeswax raw materials with different colors of lipstick powder. For each color of beeswax tablet, the mass ratio of the key component beeswax raw material to lipstick powder was different. All sample images are grouped according to a preset rule to obtain multiple image groups; the preset rule is to perform visual identification under natural lighting conditions, and to divide multiple sample images that are visually identified as having the same color into the same group, so that each image group includes multiple sample images with the same hue but different saturation and brightness. Each sample image is labeled with a corresponding key component mass ratio and image group identifier, and the key component mass ratio threshold range, brightness threshold range, and color saturation threshold range corresponding to each image group are obtained; wherein, the key component mass ratio is the mass ratio of beeswax raw material to edible lipstick powder.
2. The method for preparing colored beeswax sheets according to claim 1, characterized in that, The step of matching the corresponding key component quality ratio threshold range in a pre-built database based on the hue, brightness, and color saturation of the image to be identified specifically includes the following steps: Based on the hue of the image to be identified, multiple sample images that match the same hue are grouped together as candidate image groups; The brightness and saturation values of the image to be identified are compared with the brightness threshold range and color saturation threshold range of each candidate image group, respectively. If the brightness value and color saturation threshold of the image to be identified belong to the brightness threshold range and color saturation threshold range of the same candidate image group, the candidate images are determined to be the target image group. The key component quality ratio threshold range corresponding to the target image group is output as the output target.
3. The method for preparing colored beeswax sheets according to claim 2, characterized in that, The maximum value of the critical quality ratio threshold range is the critical component quality ratio of the sample image with the highest critical component quality ratio in the image group, and the minimum value is the critical component quality ratio of the sample image with the lowest critical component quality ratio in the image group.
4. The method for preparing colored beeswax sheets according to claim 2, characterized in that, The process of pre-dyeing beeswax raw materials with different colors of lipstick powder includes the following steps: S201, add edible oil of mass m1 to a container; S203, add beeswax blocks with a mass of m2 to a container, then heat to melt the beeswax and stir to mix it with the edible oil to obtain a viscous mixture; S205, add m3 of lipstick powder of a specified hue to a container, and then stir to fully mix it with the above mixture to obtain a mixed wax liquid; wherein, the specified hue is red, green, or purple; wherein, the ratio of m1, m2 and m3 is 20:100:1 to 5; S207, the mixed wax liquid is left to stand at room temperature and finally solidified to obtain colored beeswax flakes.
5. The method for preparing colored beeswax sheets according to claim 4, characterized in that, Before performing step S203, the following steps are also included: S301, determine whether the mass m2 of the beeswax block is greater than a preset mass threshold. If yes, proceed to step S203; otherwise, proceed to step S303. S303, based on the preset quality threshold, cut the beeswax block into N small pieces, and divide the edible oil into n groups. Then, place each small piece in each group of the edible oil and heat it to melt the beeswax in each small piece to mix with the edible oil. Execute step S305. S305: Mix the various mixtures together and stir, then proceed to S205.
6. The method for preparing colored beeswax sheets according to claim 5, characterized in that, The edible oil is soybean oil or other vegetable oil.
7. The method for preparing colored beeswax sheets according to claim 3, characterized in that, While outputting the threshold range of the key component mass ratio, the optimal key component mass ratio is also output; the optimal key component mass ratio is: The key component quality ratio of the sample image corresponding to the sample image with the smallest difference between the color saturation value and the color saturation value of the image to be identified in the target image group; or, The key combination quality ratio of the sample image in the target image group that has the smallest difference in brightness value between itself and the brightness value of the image to be identified, and also has the smallest difference in color saturation value between itself and the color saturation value of the image to be identified.
8. An auxiliary device for assisting in the preparation of colored beeswax flakes, characterized in that, include: A database is used to store a table showing the correspondence between the key component quality ratio threshold ranges and the hue / brightness / color saturation threshold ranges for different pre-obtained image groups. Each group of images includes multiple sample images with the same hue but different saturation and brightness, and the key component mass ratios of the multiple sample images in the same group are different; the sample images are obtained by pre-dyeing beeswax raw materials with lipstick powder. The image acquisition module is used to acquire the image to be recognized input by the user; the image to be recognized is a solid color image. The image processing module is used to perform image analysis on the image to be identified, obtain the hue, brightness and color saturation of the image to be identified, and match the corresponding key component quality ratio threshold range in the database based on the hue, brightness and color saturation of the image to be identified, and output the key component quality ratio threshold range.
9. An auxiliary device for assisting in the preparation of colored beeswax flakes according to claim 8, characterized in that, The image processing module specifically includes: An image processing unit is used to perform image analysis on the image to be identified, and obtain the hue, brightness and color saturation of the image to be identified; A hue comparison unit is used to compare the hue of the image to be identified with the hue of each image group in the database to obtain at least one image group as a candidate image group. The key component ratio determination unit is used to compare the brightness value and color saturation value of the image to be identified with the brightness threshold range and color saturation threshold range of each candidate image group, respectively. If the brightness value of the image to be identified belongs to the brightness threshold range and its color saturation threshold is within the color saturation threshold range, the candidate image is determined as the target image group, and the key component quality ratio threshold range corresponding to the target image group is output.
10. A colored beeswax sheet prepared by the preparation method according to any one of claims 1 to 7, characterized in that, The beeswax flakes comprise edible oil, beeswax, and lipstick powder, with a mass ratio of 20:100:1 to 5.
Citation Information
Patent Citations
A Personalized Honeycomb Customization Service System and Method
CN116227885B