Automatic design method and device for jade carving, electronic equipment and storage medium

Abstract

The invention relates to the technical field of carving design, and provides an automatic design method and device for jade carving, electronic equipment and a storage medium. According to the method, the physical feature set of the jade raw material in the target area is detected, the raw material grade of the jade raw material is determined in combination with the preset raw material grade judgment mode, so that the jade raw material model is obtained by scanning the jade raw material, and flaws are marked on the jade raw material model according to the preset flaw type to obtain flaw data; and determining an engraving strategy by combining the raw material grade, the physical feature set and the flaw data, and finally generating an engraving design data set according to the engraving strategy and the jade raw material model. The physical characteristics and flaw data of the jade raw materials are automatically detected and analyzed, so that the carving design suitable for the jade raw materials is automatically audited based on the analysis result, the jade carving design efficiency is effectively improved, manual intervention and errors are reduced, and the quality of carving works is improved.

Description

Technical Field

[0001] The present application relates to the technical field of carving design, and in particular to an automatic design method, device, electronic device and storage medium for jade carving. Background Art

[0002] In the value composition of jade carving works, carving design undoubtedly occupies a pivotal position. Carving design can profoundly affect the artistic value and market recognition of the final product. Natural jade, as a natural product, is often irregular in shape, and its texture contains various unpredictable flaws, such as unevenly dispersed cotton-like impurities, cracks, and subtle changes in color and transparency. These factors have invisibly reduced the economic value of jade raw materials.

[0003] Excellent carving design can cleverly avoid the defects of raw materials and transform adverse natural conditions into unique elements in the work. Through fine layout and clever carving, it is not only possible to hide the defects in the jade, but also to transform these natural defects into highlights in the work. For example, by using the cotton-like impurities inside the jade and carving techniques of varying depths, the layering of the work can be increased, thereby improving the value of the product.

[0004] However, the current practice of jade carving design is highly dependent on the carving experience, art appreciation ability and instant creativity of the carver. Each carver has different aesthetic level and the degree of grasp of the characteristics of raw materials, resulting in uneven level parameters of the carving works, making it difficult to form a unified and objective aesthetic order. Summary of the invention

[0005] In view of this, the present application provides an automatic design method, device, electronic device and storage medium for jade carving to solve the problem of uneven horizontal parameters of the works caused by the low degree of automation in jade carving design.

[0006] The first aspect of the present application provides an automatic design method for jade carving, the method comprising: Detecting a physical feature set of jade raw materials in a target area, and determining a raw material grade of the jade raw materials according to the physical feature set and a preset raw material grade determination method; Scanning the jade raw material to obtain a jade raw material model, and performing defect identification and marking on the jade raw material model to obtain defect data; determining an engraving strategy based on the material grade, the set of physical characteristics, and the defect data; A carving design data set is obtained according to the carving strategy and the jade raw material model.

[0007] In an alternative embodiment, the set of physical characteristics includes a size index, a color index, a transparency index, and a texture index. The set of physical characteristics of the jade raw material within the detection target area includes: Perform a comprehensive scan of the jade raw material to obtain the physical information of the jade raw material; Perform size analysis and calculation on the size data in the physical information to obtain the size index; Perform color matching calculation on the image data in the physical information to obtain the color index; Perform visual analysis and evaluation on the image data to obtain the transparency index; Construct a jade texture model based on the physical information, and perform texture recognition and analysis according to the jade texture model to obtain the texture index.

[0008] In an alternative embodiment, the set of physical characteristics of the jade raw material within the detection target area further includes: Perform impurity detection on the jade raw material according to a preset impurity detection method to obtain an impurity data set; Perform data classification on the impurity data set according to a preset data classification method to obtain an impurity type set; Determine the impurity type weight and impurity influence coefficient corresponding to each impurity type according to the impurity types in the impurity type set; Calculate the impurity influence degree according to the impurity type weight, the impurity influence coefficient, and the data quantity in each impurity type.

[0009] In an alternative embodiment, the calculating the impurity influence degree according to the impurity type weight, the impurity influence coefficient, and the data quantity in each impurity type includes: Calculate the impurity influence degree through the following calculation formula: ; wherein, the is the impurity influence degree, the Q is the data quantity, the is the impurity type weight, the is the impurity influence coefficient, the n is the total number of impurity types, and the is the index of the impurity type.

[0010] In an alternative embodiment, the determining the raw material grade of the jade raw material according to the set of physical characteristics and a preset raw material grade judgment method includes: Calculate the grade value according to the set of physical characteristics through the following calculation formula: ; wherein, the is the grade value, and the is the size index, a is a preset size adjustment factor, and the is the color index, b is a preset color adjustment factor, and the is the transparency index, c is a preset transparency adjustment factor, and the is the texture index, d is a preset texture adjustment factor, and the is the impurity influence degree, and e is a preset impurity adjustment factor; Determine the raw material grade according to the grade value and a preset grade threshold.

[0011] In an optional embodiment, the determining the carving strategy according to the raw material grade, the physical feature set, and the defect data includes: Determine a preset carving theme and a preset defect treatment method according to the raw material grade; Obtain a carving image data set from a preset carving pattern database according to the physical feature set, the defect data, and the carving theme; Determine the carving strategy according to the carving image data set and the defect treatment method.

[0012] In an optional embodiment, the carving design data set includes an effect model and a line cutting data set, and the obtaining the carving design data set according to the carving strategy and the jade raw material model includes: Match the two-dimensional coordinate points in the carving image data set with the three-dimensional coordinate points in the jade raw material model according to the defect feature points in the carving image data set and the defect marks in the jade raw material model to obtain coordinate matching data; Fit the two-dimensional carving pattern in the carving image data set with the three-dimensional coordinate system of the jade raw material model according to the coordinate matching data to obtain the effect model; Perform a three-dimensional shape comparison on the jade raw material according to the effect model to identify the shape difference, position deviation, and defect area difference between the effect model and the jade raw material, and generate comparative analysis data; Carve cutting lines on the jade raw material model according to the comparative analysis data to obtain cutting line data; Calculate the carving parameters of each cutting line according to the comparative analysis data and the cutting line data, and generate the carving design data set according to the carving parameters and the cutting line data.

[0013] The second aspect of the present application provides an automatic design device for jade carving, and the device includes: A feature detection module, configured to detect a physical feature set of jade raw materials within a target area, and determine the raw material grade of the jade raw materials according to the physical feature set and a preset raw material grade determination method; A flaw marking module, configured to scan the jade raw materials to obtain a jade raw material model, and perform flaw identification and marking on the jade raw material model to obtain flaw data; A strategy determination module, configured to determine a carving strategy according to the raw material grade, the physical feature set, and the flaw data; A design data module, configured to obtain a carving design data set according to the carving strategy and the jade raw material model.

[0014] A third aspect of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the automatic design method for jade carving described above are implemented.

[0015] A fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the automatic design method for jade carving described above are implemented.

[0016] In summary, the present application at least includes the following beneficial technical effects: 1. By detecting the physical feature set of jade raw materials, comprehensively understand the properties of jade, and analyze according to physical information to ensure a comprehensive and accurate evaluation of jade.

[0017] 2. By scanning jade raw materials and marking flaws, flaw data can be accurately obtained and key design data can be provided for carving design.

[0018] 3. According to the physical features, flaw data, and raw material grade of jade raw materials, intelligently formulate the most suitable carving strategy, thereby optimizing the carving process and improving efficiency and quality.

[0019] 4. By pairing the carving image data set with the jade raw material model, a precise effect model is generated. Thus, through comparative analysis, the shape differences, position deviations, and flaw area differences between the jade raw materials and the effect model are identified, thereby optimizing the cutting lines and generating an accurate carving design data set to ensure the accuracy during the carving process. Description of the Drawings

[0020] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0021] Figure 1 is a flowchart of an automatic design method for jade carving provided by an embodiment of the present application; Figure 2 is a functional module diagram of an automatic design device for jade carving provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0023] As Figure 1 shown, it is a flowchart of an automatic design method for jade carving provided by an embodiment of the present application. The automatic design method for jade carving provided by an embodiment of the present application includes the following steps.

[0024] Step S11: Detect the physical feature set of the jade raw material in the target area, and determine the raw material grade of the jade raw material according to the physical feature set and the preset raw material grade judgment method.

[0025] Among them, the physical feature set includes a size index, a color and luster index, a transparency index, a texture index, and an impurity influence degree. The jade raw material is comprehensively scanned by a detection sensor integrated in the system to obtain the physical information of the jade raw material mold, and the physical information includes, but is not limited to, the size data, image data, texture information, and three-dimensional coordinate information of the jade raw material, etc.

[0026] Calculate the size features such as the volume and surface area of the jade raw material according to the obtained size data, so as to reflect the overall scale of the jade raw material through the ratio of the volume of the jade raw material to the surface area of the jade raw material (that is, the size index). Among them, the volume is calculated by the integration method and the volume formula, and the surface area is calculated by the three-dimensional area reconstruction method.

[0027] Meanwhile, extract the color and luster characteristics of the jade raw material through the image data. Perform color matching calculations on the image data to calculate the color and luster index of the jade raw material. The color and luster index is a characteristic value used to reflect the color of the jade, and can be obtained through color difference calculations in the image color space. Specifically, convert the image data to the Lab space, so as to use the CIE Lab color space for color difference calculations. The calculation formula of the color and luster index is as follows: Where C is the color and luster index, , and are the color values at different angles in the original image data, , and are the color values at the corresponding angles in the reference image. The color and luster index reflects the color characteristics and color changes of the jade raw material. The color and luster changes can be obtained through color differences, thereby providing valuable information for carving design.

[0028] Meanwhile, obtain the transparency index by visually analyzing and evaluating the image data. The transparency index is an important parameter used to measure the light transmittance of the jade raw material. Extract the light-transmitting area in the image through a preset deep learning algorithm, and calculate the transparency index of the jade raw material according to the proportion of the light-transmitting area. The calculation formula of the transparency index is as follows: Where, is the transparency index, is the light-transmitting value of the image pixel point, is the weight of the pixel point, is the total weight of the image. The light-transmitting value is calculated through the optical properties and light propagation characteristics of the jade raw material, and the weight is automatically generated by the deep learning model for image analysis, ensuring that the transparency index can accurately reflect the transparency of the jade raw material.

[0029] Meanwhile, construct the jade texture model of the jade raw material according to the image data, and extract the surface texture characteristics of the jade texture model through digital image processing algorithms. Among them, the texture characteristics include, but are not limited to, patterns such as details, veins, and cracks. Thus, analyze the texture characteristics through texture recognition technology to obtain the texture index. Among them, the texture analysis methods include, but are not limited to, gray-level co-occurrence matrix and local binary pattern, etc. The calculation formula of the texture index is as follows: Where M is the texture index, is the probability distribution of texture feature points, is the intensity value of the texture feature points. This formula calculates the weighted sum of the texture feature points to obtain the complexity and regularity of the jade texture.

[0030] After obtaining the physical information of the jade, further impurity detection is carried out on the jade raw material. Impurities refer to the irregular components on the surface or inside of the jade raw material, such as bubbles, veins, foreign objects, etc. Through techniques such as X-ray, CT scanning, or high-resolution three-dimensional imaging, the positions and types of impurities are accurately located. The impurity dataset includes information such as different types of impurities, sizes, distributions, etc.

[0031] The calculation of the impurity influence degree is carried out according to the preset impurity type weights, impurity influence coefficients, and the quantity of each type of impurity. The formula for calculating the impurity influence degree is as follows: Among them, the is the impurity influence degree, the Q is the data quantity, the is the impurity type weight, the is the impurity influence coefficient, the n is the total number of impurity types, the is the index of the impurity type. By calculating the impurity influence degree formula, the comprehensive impurity influence degree of the jade raw material can be calculated according to the quantity, influence degree, and weight of different impurities, thereby providing a basis for subsequent carving strategies. According to the preset weight factors, each index is weighted to obtain a grade value for comprehensively evaluating the jade raw material. The formula for calculating the grade value is as follows: Among them, the is the grade value, the is the size index, the a is the preset size adjustment factor, the is the color index, the b is the preset color adjustment factor, the is the transparency index, the c is the preset transparency adjustment factor, the is the texture index, the d is the preset texture adjustment factor, the is the impurity influence degree, the e is the preset impurity adjustment factor. The adjustment factors a, b, c, d, and e are preset according to different jade categories, market demands, and the unique properties of the jade. The adjustment factors play a role in adjusting the importance of each feature in the calculation. For example, in some cases, the color adjustment factor may be more important than the size adjustment factor, so the color adjustment factor can be set to a larger value.

[0032] After obtaining the grade value, it is necessary to standardize the grade value to eliminate the dimensional differences of different quantities, so that the final grade value has a unified standard. The standardization is achieved through linear transformation, mapping the grade value into a specified interval. In the embodiment of the present application, the obtained grade value is mapped into the interval [0, 100]. The standardization calculation formula for the grade value is as follows: Wherein, is the standardized grade value, are the maximum and minimum values of the grade value respectively. After standardization, the grade value will fall within a fixed range, which is convenient for comparison with the preset grade threshold.

[0033] After standardizing the grade value, the raw material grade of the jade is determined according to the preset grade threshold. Among them, the grade threshold is formulated according to the demand of the jade market, user preferences and the use characteristics of the jade. In the embodiment of the present application, the grade threshold divides the jade raw materials into four grade intervals (i.e., "high quality", "good", "medium" and "poor"). The corresponding jade raw material grades divided by the grade threshold are as follows: ∈[0, 60), indicating that the jade raw material is of "poor" grade; ∈[60, 80), indicating that the jade raw material is of "medium" grade; ∈[80, 90), indicating that the jade raw material is of "good" grade; ∈[90, 100], indicating that the jade raw material is of "high quality" grade.

[0034] The division of the jade grade threshold can be different according to the actual application requirements and different characteristics of the jade. In actual applications, the grade threshold can be dynamically adjusted and optimized according to different situations.

[0035] Step S12: Scan the jade raw material to obtain a jade raw material model, and identify and mark the defects of the jade raw material model to obtain defect data.

[0036] While obtaining the raw material grade of the jade raw material, the jade raw material is scanned with high precision. Common high-precision scans include but are not limited to laser scanning, optical imaging, or X-ray CT scanning, etc. The scanning technology used can also be selected according to the type, structure and required precision of the jade. High-precision scanning is used to obtain a high-density and high-precision three-dimensional data point set. For each point at the scanning position, the scanning sensor records the scanning point coordinate information (x, y, z), thereby constructing a three-dimensional model of the jade. Among them, the three-dimensional data point set is a point cloud data set, which contains a large number of accurately measured coordinate points on the surface of the jade raw material.

[0037] The point cloud data obtained by the scanning sensor often contains noise, redundant points, and gaps caused by the scanning angle. Therefore, it is necessary to clean the data first. Among them, data cleaning includes, but is not limited to, removing abnormal points, filling in the gap areas, and removing duplicates, and converting the point cloud data into a unified format. The processed point cloud data generates a high-precision three-dimensional mesh model through methods such as surface fitting and smoothing. The surface characteristics of the jade raw material can be more accurately reflected through the three-dimensional mesh model.

[0038] It should be understood that during the formation process of jade, jade defects such as cracks, bubbles, impurities, abnormal textures, and color differences are likely to occur. The identification of jade defects can be completed through morphological analysis methods. Specifically, by detecting uneven areas on the surface and using features such as changes in surface normals and abnormalities in surface curvature to mark cracks and bubbles. By calculating the curvature of each grid cell, a curvature map is obtained, and thus areas with irregular or abnormal surfaces can be identified. For example, cracks usually cause significant changes in curvature in local areas, while bubbles may cause large protrusions on the surface. After the above defect identification, a preset deep neural network can be used to verify the identified defects to improve the accuracy of defect identification.

[0039] After the defects are identified, by mapping the coordinate points of the defect areas to the corresponding defect type data (such as cracks, bubbles, impurities, etc.), marks are added to each defect area in the three-dimensional model. The marks can be different colors, textures, or features to visually distinguish different defect types. And defect data is generated according to the defect type and the corresponding defect area coordinates. The storage and representation of the defect data adopt data structures such as point cloud data sets, mesh data sets, or multi-dimensional arrays, etc. Among them, the defect data includes, but is not limited to, information such as position coordinates, size, shape, type, and severity of the defects.

[0040] Step S13: Determine the carving strategy according to the raw material grade, the physical feature set, and the defect data.

[0041] It should be understood that using different carving themes for jade raw materials of different grades can maximize the market value of the products. In this application, different carving themes are preset according to the grade of the jade raw material. For high-grade jade raw materials, some delicate and complex carving themes are selected, such as fine flower and bird carvings, figure carvings, etc., so as to increase the value of the jade products; for medium and low-grade jade, simpler and rougher carvings are selected to avoid unnecessary investment in labor costs.

[0042] Meanwhile, this application presets corresponding defect handling methods according to different defects, so as to maximize the available area of the raw material, integrate the exploitable defects into the carving, and play the role of turning decay into magic. For example, for cracks, carving may be selected to cover them up or cut along the cracks to achieve an aesthetic effect; while for bubbles or impurities, removal or making them part of the carving design through ingenious carving techniques may be selected.

[0043] After determining the carving theme and defect handling method, the physical characteristics of the jade raw material are compared with the patterns in the corresponding carving pattern database through an image processing algorithm, and the best matching pattern is determined according to the defect data. Specifically, multiple carving patterns that match it are selected from the database according to the texture characteristics and color characteristics of the jade. For example, if the jade surface has obvious texture structures, the system may select carving patterns that echo the texture to form a visual harmony. Further, the best carving pattern is selected from the multiple matching carving patterns according to the defect data, avoiding the coincidence of the carving pattern and the defect area, ensuring that the defect area will not be damaged during the carving process, and effectively hiding or modifying the defect.

[0044] After selecting the carving pattern, the carving strategy is further refined according to the carving pattern dataset and the defect handling method. By combining the carving theme and defect handling requirements, the details of the carving pattern are adjusted to determine the carving path, depth, and cutting sequence. For example, for jade that needs to cover cracks, the system may suggest deepening the carving depth near the cracks or adjusting the carving path to avoid directly cutting the cracks. For more complex patterns, the system may adopt a phased carving method to gradually remove the defect area and finely carve each detail.

[0045] Step S14: Obtain a carving design dataset according to the carving strategy and the jade raw material model.

[0046] Among them, the carving design dataset includes an effect model and a line cutting dataset. After obtaining the carving image dataset and the jade raw material model, the two-dimensional coordinate points and three-dimensional coordinate points are matched according to the defect feature points in the image dataset and the defect marks in the jade raw material model. Specifically, Extract the defect feature points in the carved image dataset through an image processing algorithm, and compare them with the defect marked points in the jade raw material model, so as to match the coordinate points of the defect feature points with the three-dimensional coordinate system in the jade raw material model, ensuring that the carved pattern can be accurately mapped onto the surface of the jade. During the mapping process, by calculating the relative position relationship between the defect feature points and the defect marks, the two-dimensional coordinate points of the carved image dataset are converted into the corresponding coordinate points in the coordinate system of the three-dimensional jade raw material model, forming one-to-one corresponding coordinate matching data. The mapping between the two-dimensional coordinate points and the three-dimensional coordinate system can be performed for coordinate matching through the following formula: where, is the two-dimensional coordinate point of the carved image dataset, is the transformation matrix, is the transformed three-dimensional coordinate point. Through the above formula, the system can accurately map the coordinates of the two-dimensional carved pattern to the corresponding positions of the three-dimensional jade raw material model, thus achieving accurate matching of coordinate points.

[0047] Based on the obtained coordinate matching data, the system will further perform pattern fitting, fitting the coordinate system of the two-dimensional carved pattern with that of the three-dimensional jade raw material model to generate an effect model. Through the fitting algorithm, the two-dimensional carved pattern is accurately adjusted to a three-dimensional pattern that conforms to the surface of the jade raw material model according to the result of coordinate matching. The fitting process needs to consider the physical characteristics of the jade raw material, such as surface curvature, texture structure, and defect position, etc. Through these adjustments, the system can generate an effect model that conforms to the characteristics of the jade raw material, that is, complete the transformation from a two-dimensional pattern to a three-dimensional carving effect.

[0048] After the generation of the effect model, through a three-dimensional comparative analysis algorithm, the geometric differences between the effect model and the jade raw material model are compared in detail, including but not limited to whether the geometric shape of the carved pattern is consistent with the jade surface, whether there are position deviations, etc. At the same time, the system will also identify the defect areas to ensure that these defect areas can be effectively processed during the carving process. Through three-dimensional shape comparison, the system will generate comparative analysis data. Among them, the comparative analysis data includes but not limited to shape differences, position deviations, and detailed information of the defect areas.

[0049] Combined with the said comparative analysis data, through numerical analysis and geometric modeling, cutting lines and cutting depths are accurately drawn on the jade raw material model, and detailed cutting line data are generated. These data include the starting point, ending point, cutting depth, direction, etc. of each cutting line, and can provide a specific operation route for the carving process.

[0050] Calculate the engraving parameters for each cutting line based on the comparative analysis data and the cutting line data. Among them, the engraving parameters include, but are not limited to, the selection of the tool, the cutting speed, the cutting path, the cutting angle, etc. The system will set the most suitable engraving parameters for each cutting line according to the hardness, texture, flaw distribution of the jade and the complexity of the engraving pattern. For example, for the engraving of complex patterns, the system may select a smaller tool and slow down the cutting speed to ensure engraving accuracy; while for simpler patterns, the system can select a larger tool and a faster cutting speed to improve engraving efficiency.

[0051] This application is applied to the field of engraving design technology. By detecting the physical feature set of the jade raw material in the target area and combining the preset raw material grade judgment method to determine the raw material grade of the jade raw material, a jade raw material model is obtained by scanning the jade raw material, and flaws are marked on the jade raw material model according to the preset flaw types to obtain flaw data. Furthermore, a carving strategy is determined by combining the raw material grade, the physical feature set and the flaw data. Finally, a carving design data set is generated according to the carving strategy and the jade raw material model. This application generates an accurate effect model by using the pairing of the carving image data set and the jade raw material model. Thus, through comparative analysis, the shape differences, position deviations and flaw area differences between the jade raw material and the effect model are identified, so as to optimize the cutting lines and generate an accurate carving design data set to ensure the accuracy in the carving process.

[0052] As Figure 2 shown, it is a functional module diagram of an automatic design device for jade carving provided by an embodiment of this application.

[0053] In some embodiments, the automatic design device 2 for jade carving may include multiple functional modules composed of computer program segments. The computer programs of each program segment in the automatic design device 2 for jade carving can be stored in the memory of the server and executed by at least one processor to execute (see details in Figure 1 the description) the functions of the automatic design method for jade carving.

[0054] In this embodiment, the automatic design device 2 for jade carving can be divided into multiple functional modules according to the functions it executes. The functional modules may include: a feature detection module 21, a flaw marking module 22, a strategy determination module 23, and a design data module 24. What is referred to as a module in the present invention means a series of computer program segments that can be executed by at least one processor and can complete fixed functions, and are stored in the memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0055] The feature detection module 21 is configured to detect the physical feature set of the jade raw material within the target area, and determine the raw material grade of the jade raw material according to the physical feature set and a preset raw material grade determination method.

[0056] In an alternative embodiment, the physical feature set includes a size index, a color index, a transparency index, and a texture index. The feature detection module 21 is specifically configured to: Perform a comprehensive scan on the jade raw material to obtain the physical information of the jade raw material; Perform size analysis and calculation on the size data in the physical information to obtain the size index; Perform color matching calculation on the image data in the physical information to obtain the color index; Perform visual analysis and evaluation on the image data to obtain the transparency index; Construct a jade texture model based on the physical information, and perform texture recognition and analysis according to the jade texture model to obtain the texture index.

[0057] In an alternative embodiment, the feature detection module 21 is further configured to: Perform impurity detection on the jade raw material according to a preset impurity detection method to obtain an impurity data set; Perform data classification on the impurity data set according to a preset data classification method to obtain an impurity type set; Determine the impurity type weight and impurity influence coefficient corresponding to each impurity type according to the impurity types in the impurity type set; Calculate the impurity influence degree according to the impurity type weight, the impurity influence coefficient, and the data quantity in each impurity type.

[0058] In an alternative embodiment, the feature detection module 21 is further configured to: Calculate the impurity influence degree through the following calculation formula: ; Wherein, the is the impurity influence degree, the Q is the data quantity, the is the impurity type weight, the is the impurity influence coefficient, the n is the total number of impurity types, and the is the index of the impurity type.

[0059] In an alternative embodiment, the feature detection module 21 is further configured to: Calculate the grade value through the following calculation formula according to the physical feature set: ; Among them, the is the grade value, the is the size index, a is a preset size adjustment factor, the is the color index, b is a preset color adjustment factor, the is the transparency index, c is a preset transparency adjustment factor, the is the texture index, d is a preset texture adjustment factor, the is the impurity influence degree, e is a preset impurity adjustment factor; Determine the raw material grade according to the grade value and the preset grade threshold.

[0060] The flaw marking module 22 is used to scan the jade raw material to obtain a jade raw material model, and perform flaw identification and marking on the jade raw material model to obtain flaw data.

[0061] The strategy determination module 23 is used to determine a carving strategy according to the raw material grade, the physical feature set, and the flaw data.

[0062] In an optional implementation manner, the strategy determination module 23 is specifically used for: Determine a preset carving theme and a preset flaw treatment method according to the raw material grade; Obtain a carving image data set from a preset carving pattern database according to the physical feature set, the flaw data, and the carving theme; Determine the carving strategy according to the carving image data set and the flaw treatment method.

[0063] The design data module 24 is used to obtain a carving design data set according to the carving strategy and the jade raw material model.

[0064] In an optional implementation manner, the carving design data set includes an effect model and a line cutting data set, and the design data module 24 is specifically used for: Match the two-dimensional coordinate points in the carving image data set with the three-dimensional coordinate points in the jade raw material model according to the flaw feature points in the carving image data set and the flaw marks in the jade raw material model to obtain coordinate matching data; Fit the two-dimensional carving pattern in the carving image data set with the three-dimensional coordinate system of the jade raw material model according to the coordinate matching data to obtain the effect model; Perform three-dimensional shape comparison on the jade raw material according to the effect model to identify the shape differences, position deviations, and defect area differences between the effect model and the jade raw material, and generate comparative analysis data; Carve cutting lines on the jade raw material model according to the comparative analysis data to obtain cutting line data; Calculate the carving parameters of each cutting line according to the comparative analysis data and the cutting line data, and generate the carving design data set according to the carving parameters and the cutting line data.

[0065] It should be understood that the various change methods and specific embodiments in the methods provided in the above embodiments are equally applicable to the automatic design device for jade carving in this embodiment. Through the detailed description of the automatic design method for jade carving above, those skilled in the art can clearly know the implementation method of the automatic design device for jade carving in this embodiment. For the sake of brevity of the specification, it will not be described in detail here.

[0066] As Figure 3 shown, it is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

[0067] In a preferred embodiment of the present invention, the electronic device 3 may include, but is not limited to: a memory 31, at least one processor 32, and at least one communication bus 33.

[0068] Those skilled in the art should understand that Figure 3 the structure of the electronic device 3 shown does not constitute a limitation on the embodiments of the present invention. The electronic device 3 may also include more or fewer other hardware or software than shown, or different component arrangements.

[0069] In some embodiments, the electronic device 3 is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application-specific integrated circuits, programmable gate arrays, digital processors, and embedded devices, etc.

[0070] It should be noted that the electronic device 3 is only an example, and other existing or future possible electronic products that can be adapted to the present application should also be included in the protection scope of the present application and are included herein by reference.

[0071] In some embodiments, a computer program is stored in the memory 31, and when the computer program is executed by the at least one processor 32, all or part of the steps in the automatic design method for jade carving as described above are implemented. The memory 31 includes a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electrically-erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc memories, magnetic disk memories, tape memories, or any other computer-readable medium that can be used to carry or store data. Further, the computer-readable storage medium mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function, and the like.

[0072] In some embodiments, the at least one processor 32 is the control core (Control Unit) of the electronic device 3, and connects various components of the entire electronic device 3 through various interfaces and circuits. By running or executing the programs or modules stored in the memory 31, and by calling the data stored in the memory 31, various functions of the electronic device 3 are executed and data is processed. For example, when the at least one processor 32 executes the computer program stored in the memory 31, all or part of the steps in the automatic design method for jade carving described in the embodiments of the present application are implemented; or all or part of the functions of the automatic design device for jade carving are implemented. The at least one processor 32 may be composed of integrated circuits. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits with the same or different functions packaged, including a combination of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips.

[0073] In some embodiments, the at least one communication bus 33 is configured to implement the connection communication between the memory 31 and the at least one processor 32, etc. Although not shown, the electronic device 3 may further include a power source (such as a battery) for powering each component. Preferably, the power source can be logically connected to the at least one processor 32 through a power management device, so as to implement functions such as management of charging, discharging, and power consumption management through the power management device. The power source may also include any components such as one or more DC or AC power sources, a recharge device, a power failure detection circuit, a power converter or inverter, and a power status indicator. The electronic device 3 may also include various sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be elaborated here.

[0074] The integrated units implemented in the form of software function modules as described above can be stored in a computer-readable storage medium. The above software function modules are stored in a storage medium and include several instructions for causing an electronic device (which may be a personal computer, an electronic device, or a network device, etc.) or a processor to execute a part of the methods described in various embodiments of the present application.

[0075] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0076] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units. They can be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0077] The above are all preferred embodiments of the present application. Without limiting the protection scope of the present application accordingly, therefore: Any equivalent changes made according to the structure, shape, and principle of the present application shall be covered within the protection scope of the present application.

Claims

1. An automatic design method for jade carving, characterized in that, The method includes: Detecting the physical feature set of the jade raw material in the target area, and determining the raw material grade of the jade raw material according to the physical feature set and a preset raw material grade judgment method; Scanning the jade raw material to obtain a jade raw material model, and performing defect identification and marking on the jade raw material model to obtain defect data; Determining a carving strategy according to the raw material grade, the physical feature set, and the defect data; Obtaining a carving design data set according to the carving strategy and the jade raw material model.

2. The automatic design method for jade carving according to claim 1, wherein, The physical feature set includes a size index, a color index, a transparency index, and a texture index. The detecting the physical feature set of the jade raw material in the target area includes: Performing a comprehensive scan on the jade raw material to obtain the physical information of the jade raw material; Performing size analysis and calculation on the size data in the physical information to obtain the size index; Performing color matching calculation on the image data in the physical information to obtain the color index; Performing visual analysis and evaluation on the image data to obtain the transparency index; Constructing a jade texture model according to the physical information, and performing texture recognition and analysis according to the jade texture model to obtain the texture index.

3. The automatic design method for jade carving according to claim 2, characterized in that, The physical feature set of the jade raw material in the target area further includes: Performing impurity detection on the jade raw material according to a preset impurity detection method to obtain an impurity data set; Performing data classification on the impurity data set according to a preset data classification method to obtain an impurity type set; Determining the impurity type weight and impurity influence coefficient corresponding to each impurity type according to the impurity type in the impurity type set; Calculating the impurity influence degree according to the impurity type weight, the impurity influence coefficient, and the data quantity in each impurity type.

4. The automatic design method for jade carving according to claim 3, characterized in that, The calculating the impurity influence degree according to the impurity type weight, the impurity influence coefficient, and the data quantity in each impurity type includes: The impurity influence degree is calculated by the following calculation formula: ； Among them, the is the impurity influence degree, the Q is the quantity of the data, the is the impurity type weight, the is the impurity influence degree coefficient, the n is the total number of the impurity types, the is the index of the impurity type.

5. The automatic design method for jade carving according to claim 3, characterized in that, The determining the raw material grade of the jade raw material according to the physical feature set and a preset raw material grade judgment method includes: The grade value is calculated by the following calculation formula according to the physical feature set: ； Among them, the is the grade value, the is the size index, a is a preset size adjustment factor, the is the color index, b is a preset color adjustment factor, the is the transparency index, c is a preset transparency adjustment factor, the is the texture index, d is a preset texture adjustment factor, the is the impurity influence degree, and e is a preset impurity adjustment factor; Determining the raw material grade according to the grade value and a preset grade threshold.

6. The automatic design method for jade carving according to claim 1, characterized in that, The determining the carving strategy according to the raw material grade, the physical feature set, and the defect data includes: Determining a preset carving theme and a preset defect treatment method according to the raw material grade; Obtaining a carving image data set from a preset carving pattern database according to the physical feature set, the defect data, and the carving theme; Determining the carving strategy according to the carving image data set and the defect treatment method.

7. The automatic design method for jade carving according to claim 6, wherein The carving design data set includes an effect model and a line cutting data set. The obtaining the carving design data set according to the carving strategy and the jade raw material model includes: Matching the two-dimensional coordinate points in the carving image data set with the three-dimensional coordinate points in the jade raw material model according to the defect feature points in the carving image data set and the defect marks in the jade raw material model to obtain coordinate matching data; Fitting the two-dimensional carving patterns in the carving image dataset with the three-dimensional coordinate system of the jade raw material model according to the coordinate matching data to obtain the effect model; Performing three-dimensional shape comparison on the jade raw material according to the effect model to identify the shape differences, position deviations, and defect area differences between the effect model and the jade raw material, and generating comparative analysis data; Carving cutting lines on the jade raw material model according to the comparative analysis data to obtain cutting line data; Calculating the carving parameters of each cutting line according to the comparative analysis data and the cutting line data, and generating the carving design dataset according to the carving parameters and the cutting line data.

8. An automatic design device for jade carving, characterized in that, The device includes: A feature detection module, configured to detect the physical feature set of the jade raw material in the target area, and determine the raw material grade of the jade raw material according to the physical feature set and a preset raw material grade judgment method; A defect marking module, configured to scan the jade raw material to obtain a jade raw material model, and perform defect identification and marking on the jade raw material model to obtain defect data; A strategy determination module, configured to determine a carving strategy according to the raw material grade, the physical feature set, and the defect data; A design data module, configured to obtain a carving design dataset according to the carving strategy and the jade raw material model.

9. An electronic device, characterized in that, The electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the automatic design method for jade carving according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the automatic design method for jade carving according to any one of claims 1 to 7 are implemented.

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