An electron radiation color-changing process and a method for controlling gem material defects

Abstract

The present application relates to an electron radiation color change process and a method for regulating gem material defects, and relates to the field of gem color change technology. The method includes: obtaining the type of gem that needs to be changed from the initial color to the target color and the initial color data through image recognition; outputting the corresponding electron irradiation process data through the electron irradiation process database, using a linear electron accelerator to change the color of the gem to the target color according to the process data, and monitoring and automatically adjusting the process data of the electron beam in real time. The present application can improve the accuracy of electron irradiation, reduce the defects of gem material color change, and thus improve the quality of gems.

Description

Technical Field

[0001] The present application relates to the field of gemstone color modification, and in particular to an electron radiation color modification process and a method for regulating gemstone material defects. Background Art

[0002] In the gem processing industry, using electron irradiation technology to change the color of gemstones is a common and effective method. This technology uses high-energy electron beams to irradiate gemstone materials, causing physical and chemical changes inside them, thereby achieving the purpose of adjusting the color of gemstones. In recent years, with the growing demand of consumers for high-quality, personalized gemstones, electron irradiation color change technology has been widely used and developed, significantly improving the overall quality and economic benefits of the gem market.

[0003] At present, in the field of electron irradiation color change, common technical means mainly include: multi-stage treatment through different irradiation modes; improving the irradiation effect by optimizing the irradiation environment temperature and humidity; and reducing impurity interference by selecting appropriate irradiation container materials. Although these methods have improved the quality of gem color to a certain extent, they still face many challenges in practical applications.

[0004] However, the existing electron irradiation color-changing technology generally has a major defect, that is, there is a lack of effective adjustment mechanism for gem material properties and electron beam parameters, resulting in unstable color-changing effect, especially when dealing with different types of gems, it is difficult to achieve precise color control. This not only affects the final quality of the gems, but also limits their market competitiveness. Summary of the invention

[0005] The first purpose of this application is to provide an electron radiation color change process and a method for regulating gem material defects, which can improve the accuracy of electron irradiation, reduce gem material color change defects, and thus improve the quality of gems.

[0006] In the first aspect, the present application provides an electronic radiation color change process, which adopts the following technical solution:

[0007] An electronic radiation color changing process, comprising:

[0008] Through image recognition, the type of gemstone that needs to be changed from the initial color to the target color and the initial color data are obtained;

[0009] The gemstone type, initial color data and target color data are passed through an electron irradiation process database, and corresponding electron irradiation process data are output. According to the process data, a linear electron accelerator is used to change the color of the gemstone to the target color, and the process data of the electron beam is monitored and automatically adjusted in real time.

[0010] By adopting the above technical scheme, image recognition technology can adjust the process data in different electron irradiation process databases according to the current type of gemstone to change the color to the target color, so that the gemstone can be changed in color under the most suitable irradiation conditions, which can improve the accuracy of electron irradiation, realize precise control of the gemstone color change process, and reduce the color change defects of gemstone materials; during the irradiation process, the process data of the electron beam is monitored in real time and automatically adjusted, which can improve the consistency and stability of the color change effect.

[0011] In a preferred example, the present application can be further configured as follows: before the step of obtaining the process data of electron irradiation through the electron irradiation process database, outputting the process data of electron irradiation, changing the color of the gemstone to the target color using a linear electron accelerator according to the process data, and monitoring and automatically adjusting the process data of the electron beam in real time, the step also includes:

[0012] According to the test gemstone data and the electron irradiation process data, an electron irradiation process database is established through iterative training, which inputs each type of gemstone data and outputs the electron irradiation process data, wherein the test gemstone data includes the test gemstone type, initial color data and target color data.

[0013] By adopting the above technical solution and using the electron irradiation process database, it is possible to quickly and accurately call suitable process data according to the specific gem type and target color data during the subsequent color change process, thereby improving the accuracy of electron irradiation, reducing color change defects of gem materials, and improving the final quality and market competitiveness of the gem.

[0014] In a preferred example, the present application can be further configured as follows: the step of establishing an electron irradiation process database that outputs electron irradiation process data after inputting each type of gemstone data through iterative training according to the test gemstone data and the electron irradiation process data, wherein the test gemstone data includes the test gemstone type, initial color data and target color data, includes:

[0015] Electron irradiate several different types of test gemstones to obtain electron irradiation process data of the several different types of test gemstones and images related to target colors after color change;

[0016] The electron irradiation process database is established according to the initial color-related images and target color-related images of different types of test gemstones, and the process data of electron irradiation of the corresponding test gemstones.

[0017] By adopting the above technical scheme, the relationship between each gemstone and the electron irradiation process is established according to the electron irradiation process data of different gemstone types and the color-related images before and after the color change, so as to more accurately control the color of the gemstone during color change in actual production; by inputting the electron irradiation process data and target color-related images used in the color change process of several different types of gemstones, the electron irradiation process database is optimized, so that the database can provide more reliable data support in subsequent applications, thereby reducing color change failures caused by inaccurate process data.

[0018] In a preferred example, the present application can be further configured as follows: the steps of: passing the gemstone type, initial color data and target color data through an electron irradiation process database, outputting corresponding electron irradiation process data, using a linear electron accelerator to change the color of the gemstone to the target color according to the process data, and monitoring and automatically adjusting the process data of the electron beam in real time include:

[0019] The electron beam energy range of the linear electron accelerator is set between 6MeV and 10MeV, the dose rate range is set between 0.3Gy / min and 0.6Gy / min, and the irradiation time range is set between 1 hour and 3 hours.

[0020] By adopting the above technical solution, a reasonable range is set for the electron beam energy, irradiation time and dose rate of the linear electron accelerator for color change of each type of gemstone, ensuring the stability and controllability of the color change process, achieving refined control of the electron irradiation process data, and thereby improving the quality and market competitiveness of the gemstone color change.

[0021] In a preferred example, the present application can be further configured as follows: the step of outputting corresponding electron irradiation process data through an electron irradiation process database for the gemstone type, initial color data and target color data, using a linear electron accelerator to change the color of the gemstone to the target color according to the process data, and monitoring and automatically adjusting the process data of the electron beam in real time also includes:

[0022] According to the type, initial color data and target color data of the gemstone, confirming the process data of the gemstone through the electron irradiation process database, the process data including electron beam energy, irradiation time and dose rate;

[0023] Use electron beam defect detection sensors to monitor the electron beam energy, irradiation time and dose rate of the linear electron accelerator in real time;

[0024] If the electron beam energy, irradiation time and dose rate are not the process data for electron irradiation of the gemstone, the process data of the electron beam are automatically adjusted to the electron beam energy, irradiation time and dose rate required for the gemstone.

[0025] By adopting the above technical solution, an electron beam defect detection sensor is used to monitor the working status of the linear electron accelerator in real time. Once it is found that the energy, irradiation time and dose rate of the electron beam are not the process data for gem color change, the relevant process data are automatically adjusted to ensure that the entire electron irradiation process is always in the best state, thereby improving the success rate of gem color change and reducing the uncertainty caused by human intervention and the possibility of operational errors.

[0026] In a second aspect, the present application provides a method for regulating defects in gemstone materials, using the following technical solution:

[0027] Obtain the gem type through image recognition;

[0028] The gemstone type, initial color data and target color data are passed through the electron irradiation process database of any of the above-mentioned electron radiation color-changing processes to obtain the electron irradiation process data of the gemstone;

[0029] The gemstone type and initial color data, as well as the corresponding process data, are passed through a color prediction model to obtain reference color data of the gemstone;

[0030] Comparing the reference color data with the target color data to determine whether the target color data is within an allowable error range of the reference color data;

[0031] If it is within the allowable error range, it is determined that the process data can be used for color change;

[0032] If it is not within the allowable error range, it is prohibited to use the process data to change the color.

[0033] By adopting the above technical solution, the type of gemstone is obtained according to image recognition, and then the data of the gemstone to be changed in color is passed through the electron irradiation process parameter library to obtain the corresponding process data for color change, thereby reducing human errors and improving the stability and consistency of the color change effect; the color prediction model can predict the reference color data of the gemstone, compare the target color data with the reference color data, and determine whether the process data can be used for color change, so as to reduce the color change defects of the gemstone material.

[0034] In a preferred example, the present application can be further configured as follows: the step of obtaining reference color data of the gemstone by using the gemstone type and initial color data and the corresponding process data through a color prediction model includes:

[0035] Obtaining initial color data of several test gemstones;

[0036] Performing color change on a number of test gemstones, obtaining reference colors of the test gemstones after the color change, and recording process data of the electron irradiation used;

[0037] According to the gemstone type, initial color data, reference color data and the process data used, through iterative training, a color prediction model is established which outputs the reference color of the gemstone after inputting the gemstone data and the process data of electron irradiation.

[0038] By adopting the above technical solution, the target color is obtained by inputting the test gem material characteristics and the process data for color change, and then through several iterative training, the established color prediction model can output a reference color for comparison with the target color based on the input data.

[0039] In a preferred example, the present application may be further configured as follows: the step of comparing the reference color data with the target color data to determine whether the actual color data is within the allowable error range of the reference color data includes:

[0040] It is determined whether the absorption spectrum corresponding to the actual color of the gemstone is within the allowable error range of the absorption spectrum corresponding to the reference color.

[0041] By adopting the above technical solution, the absorption spectrum corresponding to the actual color of the gemstone is analyzed and compared with the absorption spectrum of the target color, which reduces the color deviation caused by subjective factors and further improves the success rate and final quality of the gemstone color change.

[0042] In a preferred example, the present application may be further configured as follows: the step of comparing the reference color data with the target color data to determine whether the actual color data is within the allowable error range of the reference color data further includes:

[0043] It is determined whether the RGB corresponding to the actual color of the gemstone is within the allowable error range of the RGB corresponding to the reference color.

[0044] By adopting the above technical solution and introducing RGB values ​​as a comparison standard, the degree of deviation between the actual color and the target color can be quantified, further improving the accuracy and reliability of color change, thereby enhancing the final quality and market competitiveness of the gemstone.

[0045] In summary, this application has the following beneficial technical effects:

[0046] 1. This application obtains the gemstone type and target color through image recognition, and retrieves the corresponding process data from the electron irradiation process parameter library, so that each color change can be accurately controlled for a specific type of gemstone, significantly improving the stability and accuracy of the color change;

[0047] 2. In the process of changing the color of gemstones using a linear electron accelerator, the present application monitors in real time and automatically adjusts the energy, dose rate and irradiation time of the electron beam, which helps to solve the problem of unstable color change effect caused by mismatch of process data during the color change of gemstones, and greatly improves the success rate of color change.

[0048] 3. The present application can obtain the reference color data of the gemstone through the color prediction model, compare it with the target color data required by the gemstone, and determine whether the process data of the electron irradiation used can achieve the target color. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is a flow chart of an electronic radiation color changing process in one of the embodiments of the present application.

[0050] Figure 2 This is a flowchart of steps added before step S2 in one embodiment of the present application.

[0051] Figure 3 It is a sub-step flow chart of step S20 in one embodiment of the present application.

[0052] Figure 4 This is the sub-step process of step S2 in one embodiment of the present application. Figure 1 .

[0053] Figure 5 This is the sub-step process of step S2 in one embodiment of the present application. Figure 2 .

[0054] Figure 6 This is a flow chart of a method for controlling defects in gemstone materials in one embodiment of the present application.

[0055] Figure 7 It is a sub-step flow chart of step S5 in one embodiment of the present application.

[0056] Figure 8 This is a sub-step process of step S6 of one embodiment of the present application. Figure 1 .

[0057] Fig. 9 This is a sub-step process of step S6 of one embodiment of the present application. Figure 2 . DETAILED DESCRIPTION

[0058] The following is combined with Figure 1-9 This application is described in further detail.

[0059] refer to Figure 1 , an electronic radiation color changing process, specifically comprising:

[0060] S1. Obtain the type of gemstone and initial color data that currently needs to be changed from the initial color to the target color through image recognition.

[0061] Specifically, gemstone types include but are not limited to diamonds, tourmalines, pearls, etc. Here, image recognition refers to the technology of using computers to process, analyze and understand images to identify targets and objects of various different patterns; image recognition algorithms may include Fast Region-based Convolutional Neural Network (Fast R-CNN), Residual Network (ResNet), Scale-Invariant Feature Transform (SIFT), etc., which are not limited in the embodiments of the present disclosure.

[0062] S2. The gemstone type, initial color data and target color data are passed through the electron irradiation process database, and the corresponding electron irradiation process data is output. According to the process data, a linear electron accelerator is used to change the color of the gemstone to the target color, and the process data of the electron beam is monitored and automatically adjusted in real time.

[0063] Specifically, the electron irradiation process database contains process data for color change for each gemstone type and different initial colors. When the gemstone is changed in color under the irradiation conditions in the electron irradiation process database, the accuracy of electron irradiation and the probability of successful color change can be improved, thereby reducing the color change defects of gemstone materials. During the irradiation process, the process data of the electron beam is monitored and automatically adjusted in real time to reduce the risk of color change failure due to deviations in the output data of the electron beam and timely correction.

[0064] refer to Figure 2 Further, in one embodiment, before step S2, step S20 is added:

[0065] S20. Based on the test gemstone data and the electron irradiation process data, an electron irradiation process database is established through iterative training, which inputs each type of gemstone data and outputs the electron irradiation process data. The test gemstone data includes the test gemstone type, initial color data and target color data.

[0066] Specifically, the test gemstones are several different types of gemstone samples with different initial colors and different color change requirements. Several test gemstone data that have not been changed in color are input into an existing machine learning model that can be iteratively trained, and then the test gemstones are changed in color using a linear electron accelerator. Then, the corresponding data of several test gemstones after color change and the process data of electron irradiation are input, and then multiple iterations of training and fitting data are performed to establish an electron irradiation process database. When the gemstone data that needs to be changed in color is input into the electron irradiation process database, the required process data can be directly output, and the gemstone can be changed in color using the process data that has been iteratively trained and optimized for electron irradiation, which can reduce the color change defects of gemstone materials and improve the final quality and market competitiveness of the gemstone.

[0067] In addition, reference Figure 3 Further, in one embodiment, step S20 is refined into the following sub-steps:

[0068] S200, subjecting a number of different types of test gemstones to electron irradiation to obtain process data of the electron irradiation of the number of different types of test gemstones and images related to target colors after color change.

[0069] Specifically, the target color-related image may be an RGB distribution image, or an absorption spectrum image.

[0070] S201, establishing an electron irradiation process database according to initial color-related images and target color-related images of different types of test gemstones, and process data of electron irradiation of corresponding test gemstones.

[0071] Specifically, by inputting relevant images of different types of test gemstones before and after color change, as well as process data during the color change process, the relevant image data before and after the color change are used as input conditions, and the process data are used as output results, an electron irradiation process database is established through iterative training and data fitting optimization. Then, when it is officially used, the relevant image data before and after the color change can be directly input, so that the electron irradiation process data can be obtained quickly and accurately, and the color change failure caused by inaccurate process data can be avoided as much as possible.

[0072] In addition, reference Figure 4 Further, in one embodiment, step S2 is refined into the following sub-steps:

[0073] S21. Set the electron beam energy range of the linear electron accelerator to between 6 MeV and 10 MeV, set the dose rate range to between 0.3 Gy / min and 0.6 Gy / min, and set the irradiation time range to between 1 hour and 3 hours.

[0074] Specifically, for diamond, the preferred electron beam energy is 8MeV, the dose rate is 0.5Gy / min, and the total irradiation time is 2 hours; and for tourmaline, the corresponding parameters are adjusted to 7MeV, the dose rate is 0.4Gy / min, and the total irradiation time is 1.5 hours. By setting the process data range of the linear electron accelerator, the problem of color change failure caused by excessive data changes beyond the range can be reduced. When deviations occur within the range, the correct process data can be corrected in time, achieving precise control of color defects in gem materials and improving the stability and reliability of gem color change effects.

[0075] In addition, reference Figure 5 Furthermore, in one embodiment, step S2 is further divided into the following sub-steps:

[0076] S22. According to the type of gemstone, initial color data and target color data, the process data of the gemstone is confirmed through the electron irradiation process database, and the process data includes electron beam energy, irradiation time and dose rate.

[0077] S23. Use electron beam defect detection sensors to monitor the electron beam energy, irradiation time and dose rate of the linear electron accelerator in real time.

[0078] Specifically, the electron beam defect detection sensor is a high-precision detection device, which is mainly used for the rapid analysis of defects in materials such as semiconductor wafers. It is based on the secondary electron or backscattered electron effect generated by the interaction between the electron beam and the material, and constructs a voltage contrast image on the surface of the component to be tested by collecting and analyzing these electrons to achieve defect detection.

[0079] S24. If the electron beam energy, irradiation time and dose rate are not the process data for electron irradiation of the gemstone, the process data for the electron beam are automatically adjusted to the electron beam energy, irradiation time and dose rate required for the gemstone.

[0080] Specifically, an electron beam defect detection sensor is used to monitor the working status of the linear electron accelerator in real time, so as to promptly detect whether the energy, irradiation time and dose rate of the electron beam exceed the process data of the corresponding gemstone in the electron irradiation process database. When changes occur, the relevant process data can be automatically adjusted to ensure that the entire electron irradiation process is always in the best state, so that the color of the gemstone can be changed to achieve the ideal target color.

[0081] refer to Figure 6 , a method for controlling defects in gemstone materials, specifically comprising:

[0082] S3. Obtain the gem type through image recognition.

[0083] Specifically, gemstone types include but are not limited to diamond, tourmaline, and pearl. Here, image recognition refers to the technology of using computers to process, analyze, and understand images to identify targets and objects of various different patterns; image recognition algorithms may include Fast Region-based Convolutional Neural Network (Fast R-CNN), Residual Network (ResNet), Scale-Invariant Feature Transform (SIFT), etc., which are not limited in the embodiments of the present disclosure. The acquired gemstone types provide input data for training the color prediction model.

[0084] S4. The gemstone type, initial color data and target color data are passed through the electron irradiation process database of any of the above-mentioned electron radiation color-changing processes to obtain the electron irradiation process data of the gemstone.

[0085] Specifically, by inputting the gem type, initial color data and target color data into the electron irradiation process database, the corresponding electron irradiation process data can be obtained, and the gem is changed in color using a linear electron accelerator according to the process data. The color of the gem after the color change is a more precise target color obtained by electron irradiation based on the optimized and accurate process data in the electron irradiation process database.

[0086] S5. The gemstone type and initial color data, as well as the corresponding process data, are passed through a color prediction model to obtain reference color data of the gemstone.

[0087] Specifically, the color prediction model can simulate the color change process of gemstones, compare the obtained reference color data with the target color data, and determine whether the currently used process data can achieve the target color.

[0088] S6. Compare the reference color data with the target color data to determine whether the target color data is within the allowable error range of the reference color data.

[0089] Specifically, within the allowable error range, the obtained process data can still be used to process the gemstone to obtain the target color, reducing the steps of repeatedly adjusting the process data and achieving the purpose of reducing the color change defects of the gemstone material.

[0090] S7. If it is within the allowable error range, it is determined that the process data can be used for color change.

[0091] S8. If it is not within the allowable error range, it is prohibited to use the process data to change the color.

[0092] Specifically, if it is not within the allowable error range, the electron irradiation process database is optimized and trained to output more accurate electron irradiation process data.

[0093] In addition, reference Figure 7 Further, in one embodiment, step S5 is refined into the following sub-steps:

[0094] S50: Obtain initial color data of several test gemstones.

[0095] S51. Change the color of several test gemstones, obtain the reference colors of the several test gemstones after the color change, and record the process data of the electron irradiation used.

[0096] Specifically, the color of the tested gemstone is directly changed without going through the process data in the electron irradiation process database to obtain the reference color, and the used process data is recorded to establish a color prediction model.

[0097] S52. According to the gemstone type, initial color data, reference color data and process data used, a color prediction model is established through iterative training to output the gemstone reference color after inputting the gemstone data and the process data of electron irradiation.

[0098] Specifically, before changing the color of a gemstone, the gemstone type and initial color data, as well as the process data in the electron irradiation process database are input into a color prediction model to obtain reference color data for comparison with the target color data, thereby verifying whether the process data obtained from the electron irradiation process database is capable of changing the color of the gemstone to the target color.

[0099] In addition, reference Figure 8 Further, in one embodiment, step S6 is refined into the following sub-steps:

[0100] S60: Determine whether the absorption spectrum corresponding to the actual color of the gemstone is within the allowable error range of the absorption spectrum corresponding to the reference color.

[0101] Specifically, after the color is changed, the absorption spectrum of the gemstone will change. At this time, comparing the absorption spectrum corresponding to the actual color of the gemstone with the absorption spectrum of the reference color can verify whether the process data obtained from the electron irradiation process database can change the color of the gemstone to the target color.

[0102] In addition, reference Fig. 9 Furthermore, in one embodiment, step S6 is further refined into the following sub-steps:

[0103] S61, determining whether the RGB corresponding to the actual color of the gemstone is within the allowable error range of the RGB corresponding to the reference color.

[0104] Specifically, the reference color-related image can be a color image taken by a color camera. The color distribution in different areas of the gemstone is obtained according to the image segmentation algorithm, and it is determined whether the RGB of the main distribution area is the RGB of the target color-related image, and then it is determined whether the area of ​​the main distribution area is the area of ​​the reference color distribution, thereby achieving the purpose of verifying whether the process data obtained from the electron irradiation process database can change the color of the gemstone to the target color.

[0105] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

Claims

1. An electron radiation color changing process, characterized in that: include: A1: Obtain the type and initial color data of the gemstone that needs to be changed from the initial color to the target color through image recognition; A2: According to the test gemstone data and the electron irradiation process data, an electron irradiation process database is established through iterative training, which inputs each type of gemstone data and outputs the electron irradiation process data, wherein the test gemstone data includes the test gemstone type, initial color data and target color data; A2 includes: subjecting several different types of test gemstones to electron irradiation, obtaining process data of the electron irradiation of several different types of test gemstones and target color-related images after color change; establishing the electron irradiation process database according to the initial color-related images and target color-related images of the different types of test gemstones, and the process data of the electron irradiation of the corresponding test gemstones, wherein the target color-related image may be an RGB distribution image or an absorption spectrum image; A3: The gemstone type, initial color data and target color data are passed through an electron irradiation process database, and the corresponding electron irradiation process data is outputted. According to the process data, a linear electron accelerator is used to change the color of the gemstone to the target color, and the process data of the electron beam is monitored and automatically adjusted in real time, wherein the electron beam energy range of the linear electron accelerator is set between 6MeV and 10MeV, the dose rate range is set between 0.3Gy / min and 0.6Gy / min, and the irradiation time range is set between 1 hour and 3 hours; The A3 includes: confirming the process data of the gemstone through the electron irradiation process database according to the type, initial color data and target color data of the gemstone, the process data including electron beam energy, irradiation time and dose rate; using an electron beam defect detection sensor to monitor the electron beam energy, irradiation time and dose rate of a linear electron accelerator in real time; if the electron beam energy, irradiation time and dose rate are not the process data of electron irradiation of the gemstone, automatically adjusting the electron beam process data to the electron beam energy, irradiation time and dose rate required for the gemstone.

2. A method for controlling gem material defects, characterized in that: include: Obtain the gem type through image recognition; The gemstone type, initial color data and target color data are passed through the electron irradiation process database of the electron radiation color-changing process according to claim 1 to obtain the process data of the electron irradiation of the gemstone; The gemstone type and initial color data, as well as the corresponding process data, are passed through a color prediction model to obtain reference color data of the gemstone; Comparing the reference color data with the target color data to determine whether the target color data is within an allowable error range of the reference color data; If it is within the allowable error range, it is determined that the process data can be used for color change; If it is not within the allowable error range, it is prohibited to use the process data to change the color.

3. The method according to claim 2, characterized in that The step of obtaining reference color data of the gemstone by using the gemstone type and initial color data and corresponding process data through a color prediction model comprises: Obtaining initial color data of several test gemstones; Change the color of several test gemstones, obtain the reference colors of several test gemstones after the color change, and record the process data of the electron irradiation used; According to the gemstone type, initial color data, reference color data and the process data used, through iterative training, a color prediction model is established which outputs the reference color of the gemstone after inputting the gemstone data and the process data of electron irradiation.

4. The method according to claim 2, characterized in that: The step of comparing the reference color data with the target color data to determine whether the target color data is within the allowable error range of the reference color data comprises: It is determined whether the absorption spectrum corresponding to the target color of the gemstone is within the allowable error range of the absorption spectrum corresponding to the reference color.

5. The method according to claim 2, characterized in that: The step of comparing the reference color data with the target color data to determine whether the target color data is within the allowable error range of the reference color data further includes: It is determined whether the RGB corresponding to the target color of the gemstone is within the allowable error range of the RGB corresponding to the reference color.

Images