A method for detecting internal defects of jadeite raw stone based on X-ray detection

Abstract

The embodiment of the application discloses a method for detecting internal defects of jadeite raw stone based on X-ray detection, which comprises the following steps: performing X-ray tomography on a jadeite raw stone sample to be detected; analyzing cracks in the jadeite raw stone sample to be detected based on the X-ray tomography result; if the analysis result indicates that there are cracks, obtaining characteristic information and position information of the cracks in the jadeite raw stone to be detected from the X-ray tomography result, and generating a crack analysis result; selecting a plurality of scanning images related to the cracks from the X-ray tomography result, and generating a crack trend three-dimensional graph; and outputting a crack evaluation result of the jadeite raw stone to be detected based on the crack trend three-dimensional graph and the crack analysis result. Thus, the embodiment can scientifically and visually present and analyze the internal defects of the jadeite raw stone sample to be detected by using the X-ray tomography technology, thereby providing a scientific reference for subsequent processing of the jadeite raw stone and minimizing economic losses in the transaction of the jadeite raw stone.

Description

Technical Field

[0001] This invention belongs to the field of jewelry and jade technology, and in particular relates to a method for detecting internal defects in jadeite rough based on X-ray detection. Background Technology

[0002] The trading of jadeite rough has a history of thousands of years. It is a unique and highly popular way of trading high-end jadeite rough in the border area between Myanmar and Yunnan. Its strong trading nature and high excitement attract jade merchants from all sides to spend a fortune, making it a long-standing and thriving industry. Since the beginning of jadeite rough trading, people have been looking for commonalities in various jadeite rough trading activities, trying to find their patterns to guide the practice of jadeite rough trading. However, jadeite rough undergoes erosion, transportation, deposition, and weathering during its later transportation, forming a weathered layer, or weathered rind. The thickness of the weathered rind varies depending on the transportation process and environment the jadeite rough has experienced. Therefore, it is impossible to directly judge the internal quality of jadeite rough by its outer shell.

[0003] Jadeite researchers often pay little attention to the internal fissures of jadeite rough. However, if a high-quality jadeite rough is damaged by a fatal fissure, it cannot be used as a large piece of raw material for later processing, significantly reducing its value. Fractuses in jadeite are mainly caused by the uplift of the jadeite rock due to crustal movement, resulting in compression or stretching under external forces. As the crust continues to rise, the jadeite breaks along these fissures, leading to the disintegration of the jadeite rock into pebbles of varying sizes. Currently, in the jadeite rough trading market, the number and direction of fissures are usually estimated based on the experience of practitioners. Therefore, fissure assessment is highly uncertain and involves significant technical barriers. Typically, after purchasing jadeite rough, it is necessary to cut it open based on the experience of a practitioner to verify the number and direction of fissures. However, if a misjudgment occurs, the economic loss due to the jadeite rough being unable to be processed into large gemstones because of incorrect cutting placement is irreparable. Currently, there is a lack of methods for investigating and analyzing the internal cracks of jadeite rough stones in the buying and selling process, and there are no simple and easy technical means to visually present the internal cracks of jadeite. Summary of the Invention

[0004] To address the aforementioned problems in existing technologies, this invention provides a method for detecting internal defects in jadeite rough based on X-ray detection. This method can scientifically visualize the distribution of internal defects in the jadeite rough sample through a three-dimensional image and provide analysis results of the internal defects, thereby providing a scientific reference for the subsequent slicing, design, processing, and value assessment of jadeite rough, and minimizing economic losses in jadeite rough trading.

[0005] According to a first aspect of the present invention, a method for detecting internal defects in jadeite rough based on X-ray detection is provided. The method includes: performing X-ray tomography on a jadeite rough sample to be tested to obtain X-ray tomography results; analyzing the cracks in the jadeite rough sample based on the X-ray tomography results to generate analysis results; if the analysis results indicate the presence of cracks, obtaining the characteristic information and location information of the cracks in the jadeite rough sample from the X-ray tomography results to generate crack analysis results; wherein the characteristic information of the cracks includes at least the complete shape, size, and trend of the cracks within the jadeite rough sample; selecting several scan images related to the cracks from the X-ray tomography results to generate a three-dimensional crack trend map; and outputting a crack assessment result of the jadeite rough sample based on the three-dimensional crack trend map and the crack analysis results.

[0006] Optionally, when the jadeite rough sample to be tested is subjected to X-ray tomography scanning according to a first preset step size, a three-dimensional map of the external fracture trend and an external fracture evaluation result of the jadeite rough to be tested are obtained accordingly; and based on the three-dimensional map of the external fracture trend and the external fracture analysis result, the external fracture evaluation result of the jadeite rough to be tested is output; when the jadeite rough sample to be tested is subjected to X-ray tomography scanning according to a second preset step size, a three-dimensional map of the internal fracture trend and an internal fracture evaluation result of the jadeite rough to be tested are obtained accordingly; and based on the three-dimensional map of the internal fracture trend and the internal fracture analysis result, the internal fracture evaluation result of the jadeite rough to be tested is output; wherein, the second preset step size is smaller than the first preset step size.

[0007] Optionally, the method further includes: acquiring a target image sequence corresponding to the three-dimensional map of the external crack trend; preprocessing the target image sequence to generate a preprocessed image sequence; magnifying the preprocessed image sequence to obtain a magnified image sequence; selecting several scanned images related to microcracks from the magnified image sequence to generate a three-dimensional map of the microcrack trend; obtaining the feature information and location information of microcracks in the jadeite rough to be tested based on the three-dimensional map of the microcrack trend, and generating microcrack analysis results; wherein, the feature information of the microcracks includes at least the complete shape, size, and trend of the microcracks inside the jadeite rough to be tested; and outputting the microcrack evaluation results of the jadeite rough to be tested based on the three-dimensional map of the microcrack trend and the microcrack analysis results.

[0008] Optionally, the step of preprocessing the target image sequence to generate a preprocessed image sequence includes: performing noise reduction processing on the target image sequence to generate a noise-reduced image sequence; and performing contrast processing on the noise-reduced image sequence to generate a preprocessed image sequence.

[0009] Optionally, the method further includes: acquiring all scan images in the X-ray tomography results; for any two scan images in all scan images: if the difference in the average contrast of the two scan images is less than a first preset threshold and the difference in grayscale values ​​is less than a second preset threshold, then the internal texture of the jadeite rough sample to be tested is determined to be uniform; and outputting the texture evaluation result of the jadeite rough sample to be tested.

[0010] Optionally, the jadeite rough sample to be tested is obtained by the following method: nanoparticles and barium sulfate are added to a solvent and mixed thoroughly to prepare an immersion liquid; the jadeite rough sample is completely immersed in the immersion liquid, and after the immersion time is reached, the soaked jadeite rough sample is taken out of the immersion liquid; the soaked jadeite rough sample is washed with water, and the jadeite rough sample is dried after the water washing treatment; the dried jadeite rough sample is used as the jadeite rough sample to be tested.

[0011] Optionally, the method further includes: applying a preset pressure to the jadeite rough and the soaking liquid during the soaking process.

[0012] Optionally, the preset pressure is 1×10⁻⁶. 4 MPa / m 2 -2×10 4 MPa / m 2 The pressurization time for the preset pressure is 30-100 minutes.

[0013] Optionally, the solvent is an organic solvent; the organic solvent is any one of cyclohexane, diethyl ether, or acetone.

[0014] According to a second aspect of the present invention, an X-ray detection device for detecting internal defects in jadeite rough is also provided. The device includes: a first acquisition module for performing X-ray tomography on a jadeite rough sample to be tested to obtain X-ray tomography results; an analysis module for analyzing cracks in the jadeite rough sample based on the X-ray tomography results and generating analysis results; a first generation module for obtaining feature information and location information of cracks in the jadeite rough sample from the X-ray tomography results if the analysis results indicate the presence of cracks, and generating crack analysis results; wherein the feature information of the cracks includes at least the complete shape, size, and trend of the cracks within the jadeite rough sample; a first selection module for selecting several scan images related to the cracks from the X-ray tomography results and generating a three-dimensional crack trend map; and a first output module for outputting a crack assessment result of the jadeite rough sample based on the three-dimensional crack trend map and the crack analysis results.

[0015] According to a third aspect of the present invention, an electronic device is also provided, comprising: a processor; a memory for storing executable instructions of the processor; the processor being configured to read the executable instructions from the memory and execute the instructions to implement the method as described in the first aspect.

[0016] According to a fourth aspect of the present invention, a computer-readable medium is also provided, on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in the first aspect.

[0017] This invention provides a method for detecting internal defects in jadeite rough based on X-ray detection. The method includes: first, performing X-ray tomography on the jadeite rough sample to obtain X-ray tomography results; second, analyzing the cracks in the jadeite rough sample based on the X-ray tomography results to generate analysis results; if the analysis results indicate the presence of cracks, obtaining the characteristic information and location information of the cracks in the jadeite rough from the X-ray tomography results to generate crack analysis results; wherein, the characteristic information of the cracks includes at least the complete shape, size, and trend of the cracks within the jadeite rough; then, selecting several scan images related to the cracks from the X-ray tomography results to generate a three-dimensional crack trend map; finally, based on the three-dimensional crack trend map and the crack analysis results, outputting the crack assessment result of the jadeite rough. Therefore, this embodiment uses X-ray tomography technology to scientifically visualize the distribution of internal defects in the jadeite rough sample, and analyzes the characteristic and location information of the cracks, thereby assisting in judging the quality of the jadeite rough sample and achieving qualitative analysis of the jadeite rough. This provides a scientific reference for the subsequent slicing, design, processing, and value assessment of the jadeite rough, and minimizes economic losses in the buying and selling of jadeite rough. Attached Figure Description

[0018] The following sections will describe some specific embodiments of the invention in detail by way of example and not limitation, with reference to the accompanying drawings. The same reference numerals in the drawings denote the same or similar parts or portions. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0019] Figure 1 This is a flowchart illustrating a method for detecting internal defects in jadeite rough based on X-ray detection, according to an embodiment of the present invention.

[0020] Figure 2 This is a cross-sectional view of the external cracks in a jadeite rough stone to be tested, according to an embodiment of the present invention.

[0021] Figure 3This is a schematic diagram of a device for detecting internal defects in jadeite rough based on X-ray detection, provided in an embodiment of the present invention. Detailed Implementation

[0022] like Figure 1 The diagram shown is a flowchart illustrating a method for detecting internal defects in jadeite rough based on X-ray detection, according to an embodiment of the present invention.

[0023] A method for detecting internal defects in jadeite rough based on X-ray detection, comprising at least the following steps:

[0024] S101, X-ray tomography is performed on the jadeite rough sample to be tested to obtain the X-ray tomography results;

[0025] S102, Based on the X-ray tomography results, the cracks in the jadeite rough sample to be tested are analyzed, and the analysis results are generated;

[0026] S103, if the analysis results indicate the presence of cracks, then the characteristic information and location information of the cracks in the jadeite rough to be tested are obtained from the X-ray tomography results to generate crack analysis results; wherein, the characteristic information of the cracks includes at least the complete shape and size of the cracks and the trend of the cracks inside the jadeite rough to be tested.

[0027] S104, Select several scan images related to the fracture from the X-ray tomography results and generate a three-dimensional map of the fracture trend;

[0028] S105, Based on the three-dimensional diagram of the crack trend and the crack analysis results, output the crack assessment results of the jadeite rough to be tested.

[0029] Cracks in jadeite rough are classified as external and internal. Most jadeite rough contains external cracks. When internal cracks in jadeite rough transform into larger cracks, external cracks usually form on the outside of the rough. During later processing, jadeite rough is cut. To increase its value, it is typically cut along the direction of these external cracks. Accurately predicting the direction of these external cracks can significantly improve the economic value of jadeite rough.

[0030] In some special scenarios, the micro-cracks inside jadeite rough also need to be evaluated, because the fewer the micro-cracks inside the jadeite rough, the greater its economic value.

[0031] In S101, X-ray tomography is performed on the jadeite rough sample to be tested according to a preset step size to obtain X-ray tomography results; wherein, the X-ray tomography results include sample chamber view, several cross-sectional views of the sample in the X direction, several cross-sectional views of the sample in the Y direction, and several cross-sectional views of the sample in the Z direction.

[0032] By using different preset step sizes and scanning precision, the trends of external and micro-cracks inside jadeite rough stones can be observed. The X-ray tomography results are three-dimensional images of the jadeite sample being tested.

[0033] For example, when the jadeite rough sample to be tested is subjected to X-ray tomography scanning according to the first preset step size, a three-dimensional map of the external crack trend and the external crack evaluation result of the jadeite rough to be tested are obtained accordingly; and based on the three-dimensional map of the external crack trend and the external crack analysis result, the external crack evaluation result of the jadeite rough to be tested is output.

[0034] When the jadeite rough sample to be tested is subjected to X-ray tomography scanning according to the second preset step size, a three-dimensional map of the internal fracture trend and the internal fracture evaluation result of the jadeite rough to be tested are obtained accordingly; and based on the three-dimensional map of the internal fracture trend and the internal fracture analysis result, the internal fracture evaluation result of the jadeite rough to be tested is output; wherein, the second preset step size is smaller than the first preset step size.

[0035] In steps S102 and S103, based on the X-ray tomography results, the fissures in the jadeite rough sample are analyzed, and analysis results are generated. If the analysis results indicate that no fissures exist, no processing is performed; if the analysis results indicate that fissures exist, the trend and complete shape of the fissures inside the jadeite rough are obtained based on the three-dimensional image of the jadeite sample; the location and size information of the fissures inside the jadeite rough are determined according to the trend and complete shape of the fissures, thereby generating a fissure analysis report.

[0036] Here, no restrictions are placed on the analysis method; it can be based on the image analysis methods used in existing X-ray computed tomography.

[0037] In S104, since the trend of the crack inside the jadeite rough to be tested may not be from one end of the jadeite rough to the other; but rather it may end at a certain position inside the jadeite rough, it is necessary to select several cross-sectional scan images containing the crack from the X-ray tomography results to form a target image sequence; and generate a three-dimensional map of the crack trend based on the target image sequence.

[0038] In S105, based on the three-dimensional diagram of the crack trend and the crack analysis results, the cracks of the jadeite rough to be tested are evaluated according to preset rules, and the crack evaluation results of the jadeite rough to be tested are output.

[0039] This embodiment uses X-ray tomography to scientifically visualize the distribution of cracks inside the jadeite rough sample, and analyzes the characteristic and location information of the cracks to help determine the quality of the jadeite rough sample. This enables qualitative analysis of the jadeite rough and provides a scientific reference for subsequent slicing, design, processing, and value assessment of the jadeite rough, thereby minimizing economic losses in jadeite rough trading.

[0040] In a preferred embodiment of this example, the method further includes: acquiring a target image sequence corresponding to the three-dimensional map of the external crack trend; preprocessing the target image sequence to generate a preprocessed image sequence; magnifying the preprocessed image sequence to obtain a magnified image sequence; selecting several scanned images related to microcracks from the magnified image sequence to generate a three-dimensional map of the microcrack trend; obtaining the feature information and location information of the microcracks in the jadeite rough to be tested based on the three-dimensional map of the microcrack trend, and generating a microcrack analysis result; wherein, the feature information of the microcracks includes at least the complete shape, size, and trend of the microcracks inside the jadeite rough to be tested; and outputting the microcrack evaluation result of the jadeite rough to be tested based on the three-dimensional map of the microcrack trend and the microcrack analysis result.

[0041] For example, the step of preprocessing the target image sequence to generate a preprocessed image sequence includes: performing noise reduction processing on the target image sequence to generate a noise-reduced image sequence; and performing contrast processing on the noise-reduced image sequence to generate a preprocessed image sequence.

[0042] For example, for any target image in a target image sequence: the target image is filtered to generate a denoised image; the contrast of the denoised image is then processed using a tone mapping algorithm to generate a preprocessed image. Thus, combining image filtering and contrast processing allows for the acquisition of more detailed information from the target image.

[0043] This embodiment preprocesses the target image sequence to obtain more detailed information in the target image; by magnifying the preprocessed image sequence, it can further obtain feature information in the preprocessed image, which is beneficial for identifying microcracks; thus, this embodiment combines preprocessing and magnification to improve the accuracy of microcrack identification in the three-dimensional map of external crack trend.

[0044] In another preferred embodiment of this example, the method further includes: acquiring all scan images in the X-ray tomography results; for any two scan images in all scan images: if the difference in the average contrast of the two scan images is less than a first preset threshold and the difference in grayscale values ​​is less than a second preset threshold, then the internal texture of the jadeite rough sample to be tested is determined to be uniform; and the texture evaluation result of the jadeite rough sample to be tested is output.

[0045] Specifically, if the scanned image shows a relatively uniform brightness and contrast, it indicates that the internal uniformity of the jadeite sample is high. As an important evaluation feature for jadeite grading, it can indirectly indicate the quality of the jadeite sample.

[0046] This embodiment determines the uniformity of the internal texture of a jadeite rough sample based on the internal contrast and grayscale value of the scanned image, thereby effectively evaluating the texture of the jadeite rough sample and improving the accuracy of the texture evaluation.

[0047] In another preferred embodiment of this example, the jadeite rough to be tested is obtained by the following method: nanoparticles and barium sulfate are added to an organic solvent and mixed thoroughly to prepare an immersion liquid; the jadeite rough sample is completely immersed in the immersion liquid, and after the immersion time is reached, the soaked jadeite rough sample is taken out of the immersion liquid; the soaked jadeite rough sample is washed with water, and then dried; the dried jadeite rough sample is used as the jadeite rough to be tested.

[0048] Specifically, rare-earth-doped sodium lutetium fluoride nanoparticles and barium sulfate are added to a cyclohexane organic solvent and mixed thoroughly to prepare an immersion liquid; this immersion liquid is a suspension. An appropriate amount of immersion liquid is selected based on the size of the jadeite rough sample to be tested, ensuring that the jadeite rough sample is completely submerged in the immersion liquid.

[0049] It should be noted that the soaking liquid can only flow into the external cracks of the jadeite rough sample, but cannot flow into the micro-cracks of the jadeite rough sample.

[0050] This embodiment improves the fluidity of the soaking liquid in the jadeite rough sample by adding nanoparticles; it also enhances the fluorescence indication effect of the jadeite rough sample in X-ray tomography by adding barium sulfate to the soaking liquid; thus, it enables effective analysis of cracks in the jadeite rough sample and improves the accuracy of crack analysis results.

[0051] In another preferred embodiment of this invention, during the soaking process of the jadeite rough, a preset pressure is applied to the jadeite rough and the soaking liquid; wherein, the preset pressure is 1×10⁻⁶. 4 MPa / m2 -2×10 4 MPa / m 2 The pressurization time for the preset pressure is 30-100 minutes.

[0052] Specifically, a preset pressure is applied to the soaking liquid and the jadeite rough stone in the soaking liquid using a high-pressure liquid injection device; the magnitude of the preset pressure and the pressure application time are determined according to the size of the jadeite rough stone sample and the size of the exposed cracks.

[0053] In this embodiment, pressurization is applied during the soaking process of the jadeite rough stone, which facilitates the flow of the soaking liquid into the interior of the jadeite rough stone along the external cracks. This improves the scanning effect of the jadeite rough stone sample under X-ray tomography, thereby facilitating the detection of cracks in the jadeite rough stone sample.

[0054] The detection method of this embodiment will be described in detail below with reference to specific application scenarios.

[0055] A method for detecting internal defects in jadeite rough based on X-ray detection, comprising at least the following steps:

[0056] S1, Nanoparticles and barium sulfate are added to an organic solvent and thoroughly mixed to prepare an immersion liquid; the jadeite rough sample is completely immersed in the immersion liquid and subjected to a preset pressure of 1×10⁻⁶. 4 MPa / m 2 -2×10 4 MPa / m 2 Under certain conditions, the jadeite rough stone and the soaking liquid are pressurized for 30-100 minutes; after the soaking time is reached, the soaked jadeite rough stone sample is taken out from the soaking liquid; the soaking liquid on the surface of the soaked jadeite rough stone sample is washed with water, and the jadeite rough stone sample is dried after the water washing treatment; the dried jadeite rough stone sample is used as the jadeite rough stone sample to be tested.

[0057] S2. Place the jadeite rough sample to be tested into the sample chamber of the scanning device. The size of the sample and the sample chamber determines whether to place one or multiple jadeite rough samples at a time. Set the scanning voltage and scanning current based on the size of the jadeite rough sample.

[0058] S3, perform X-ray tomography on the jadeite rough sample to be tested according to the first preset step size to obtain the X-ray tomography results; based on the X-ray tomography results, analyze the cracks in the jadeite rough sample to be tested to generate analysis results.

[0059] S4. If the analysis results indicate the presence of external cracks, the characteristic information and location information of the external cracks in the jadeite rough to be tested are obtained from the X-ray tomography results to generate external crack analysis results; wherein, the characteristic information of the external cracks includes at least the complete shape and size of the external cracks and the trend of the external cracks inside the jadeite rough to be tested.

[0060] S5. Select several scan images related to the external fracture from the X-ray tomography results to generate a three-dimensional map of the external fracture trend.

[0061] S6. Based on the three-dimensional diagram of the external crack trend and the external crack analysis results, output the external crack evaluation results of the jadeite rough stone to be tested.

[0062] S7, acquire the target image sequence corresponding to the three-dimensional map of the external fracture trend; perform noise reduction processing on the target image sequence to generate a noise-reduced image sequence; perform contrast processing on the noise-reduced image sequence to generate a preprocessed image sequence. Enlarge the preprocessed image sequence to obtain an enlarged image sequence; select several scan images related to the micro-fracture from the enlarged image sequence to generate a three-dimensional map of the micro-fracture trend.

[0063] S8. Based on the three-dimensional map of the microcrack trend, obtain the characteristic information and location information of the microcracks in the jadeite rough to be tested, and generate microcrack analysis results; wherein, the characteristic information of the microcracks includes at least the complete shape and size of the microcracks and the trend of the microcracks inside the jadeite rough to be tested.

[0064] S9. Based on the three-dimensional diagram of the microcrack trend and the microcrack analysis results, output the microcrack evaluation results of the jadeite rough to be tested.

[0065] S10, acquire all scan images in the X-ray tomography results; for any two scan images in all scan images: if the difference in the average contrast of the two scan images is less than a first preset threshold and the difference in grayscale value is less than a second preset threshold, then determine that the internal texture of the jadeite rough sample to be tested is uniform; output the texture evaluation result of the jadeite rough sample to be tested.

[0066] S10: Based on the evaluation results of external cracks, micro-cracks, and texture of the jadeite rough to be tested, the quality grade of the jadeite rough to be tested is determined.

[0067] This invention aims to provide a scientific and visual three-dimensional representation of the internal defects of jadeite rough using X-ray tomography technology. It also provides comprehensive information on the internal defects of jadeite rough, including the presence, number, and three-dimensional orientation of cracks. This provides a scientific reference for the subsequent slicing, design, processing, and value assessment of jadeite rough, minimizing economic losses in the process of buying and selling jadeite rough.

[0068] like Figure 2 The image shown is a cross-sectional view of the external cracks in a jadeite rough stone under test, according to an embodiment of the present invention. Through... Figure 2 It can be seen that the crack characteristics of a certain cross-section of the jadeite rough sample after scanning are known.

[0069] like Figure 3 The diagram shown is a schematic representation of a device for detecting internal defects in jadeite rough based on X-ray detection, according to an embodiment of the present invention.

[0070] An X-ray detection device for detecting internal defects in jadeite rough stones, the device 300 comprising: a first acquisition module 301, used to perform X-ray tomography scanning on the jadeite rough stone sample to obtain X-ray tomography scanning results; an analysis module 302, used to analyze the cracks in the jadeite rough stone sample based on the X-ray tomography scanning results and generate analysis results; a first generation module 303, used to acquire the feature information and location information of the cracks in the jadeite rough stone from the X-ray tomography scanning results if the analysis results indicate the presence of cracks, and generate crack analysis results; wherein the feature information of the cracks includes at least the complete shape, size, and trend of the cracks within the jadeite rough stone; a first selection module 304, used to select several scan images related to the cracks from the X-ray tomography scanning results and generate a three-dimensional map of the crack trend; and a first output module 305, used to output a crack assessment result of the jadeite rough stone based on the three-dimensional map of the crack trend and the crack analysis results.

[0071] In a preferred embodiment of this example, the first output module is further configured to: when the jadeite rough sample to be tested is subjected to X-ray tomography scanning according to a first preset step size; accordingly, obtain a three-dimensional map of the external fracture trend and an external fracture evaluation result of the jadeite rough sample to be tested; and output the external fracture evaluation result of the jadeite rough sample to be tested based on the three-dimensional map of the external fracture trend and the external fracture analysis result; when the jadeite rough sample to be tested is subjected to X-ray tomography scanning according to a second preset step size, accordingly, obtain a three-dimensional map of the internal fracture trend and an internal fracture evaluation result of the jadeite rough sample to be tested; and output the internal fracture evaluation result of the jadeite rough sample to be tested based on the three-dimensional map of the internal fracture trend and the internal fracture analysis result; wherein, the second preset step size is smaller than the first preset step size.

[0072] In a preferred embodiment of this invention, the device further includes: a second acquisition module, used to acquire a target image sequence corresponding to the three-dimensional map of the external crack trend; a preprocessing module, used to preprocess the target image sequence to generate a preprocessed image sequence; a magnification processing module, used to magnify the preprocessed image sequence to obtain a magnified image sequence; a second selection module, used to select several scanned images related to microcracks from the magnified image sequence to generate a three-dimensional map of the microcrack trend; a second generation module, used to obtain the feature information and location information of the microcracks in the jadeite rough to be tested based on the three-dimensional map of the microcrack trend, and generate a microcrack analysis result; wherein the feature information of the microcracks includes at least the complete shape, size, and trend of the microcracks inside the jadeite rough to be tested; and a second output module, used to output the microcrack evaluation result of the jadeite rough to be tested based on the three-dimensional map of the microcrack trend and the microcrack analysis result.

[0073] In a preferred embodiment of this example, the preprocessing module includes: a preprocessing unit for performing noise reduction processing on the target image sequence to generate a noise-reduced image sequence; and a contrast processing unit for performing contrast processing on the noise-reduced image sequence to generate a preprocessed image sequence.

[0074] In a preferred embodiment of this invention, the device further includes: a third acquisition module, used to acquire all scanned images in the X-ray tomography results; and a third output module, used for any two scanned images among all scanned images: if the difference in the average contrast of the two scanned images is less than a first preset threshold and the difference in grayscale values ​​is less than a second preset threshold, then the internal texture of the jadeite rough sample to be tested is determined to be uniform; and the texture evaluation result of the jadeite rough sample to be tested is output.

[0075] In a preferred embodiment of this example, the jadeite rough sample to be tested is obtained by the following method: nanoparticles and barium sulfate are added to an organic solvent and mixed thoroughly to prepare an immersion liquid; the jadeite rough sample is completely immersed in the immersion liquid, and after the immersion time is reached, the soaked jadeite rough sample is removed from the immersion liquid; the soaked jadeite rough sample is washed with water, and then dried; the dried jadeite rough sample is used as the jadeite rough sample to be tested.

[0076] In a preferred embodiment of this invention, the device further includes applying a preset pressure to the jadeite rough and the soaking liquid during the soaking process.

[0077] In a preferred embodiment of this example, the preset pressure is 1×10⁻⁶. 4 MPa / m 2 -2×10 4 MPa / m 2 The pressurization time for the preset pressure is 30-100 minutes.

[0078] The aforementioned device can execute the X-ray detection method for detecting internal defects in jadeite rough provided in an embodiment of the present invention, and possesses the corresponding functional modules and beneficial effects for executing such a method. Technical details not described in detail in this embodiment can be found in the X-ray detection method for detecting internal defects in jadeite rough provided in an embodiment of the present invention.

[0079] The present invention also provides an electronic device, comprising: a processor; a memory for storing executable instructions of the processor; the processor being configured to read the executable instructions from the memory and execute the instructions to implement the method for detecting internal defects in jadeite rough based on X-ray detection as described in the present invention.

[0080] In addition to the methods and apparatus described above, embodiments of this application may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the methods according to various embodiments of this application described in the "Exemplary Methods" section above.

[0081] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of this application. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0082] Furthermore, embodiments of this application may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps in the methods according to the following embodiments of this application described in the "Exemplary Methods" section above.

[0083] The computer-readable storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may, for example, include, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0084] The basic principles of this application have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this application are merely examples and not limitations, and should not be considered as essential features of each embodiment of this application. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the application to the necessity of employing the aforementioned specific details for implementation.

[0085] The block diagrams of devices, apparatuses, devices, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0086] It should also be noted that in the apparatus, equipment, and methods of this application, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered as equivalent solutions of this application.

[0087] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this application. Therefore, this application is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0088] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this application to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

[0089] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.

[0090] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0091] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for detecting internal defects in jadeite rough based on X-ray detection, characterized in that, include: The soaking liquid was prepared by adding nanoparticles and barium sulfate to an organic solvent and mixing them thoroughly. The jadeite rough sample is completely immersed in the soaking liquid, and after the soaking time is up, the soaked jadeite rough sample is removed from the soaking liquid. The soaked jadeite rough sample was washed with water and then dried. The dried jadeite rough sample was used as the jadeite rough sample to be tested; During the soaking process of the jadeite rough, a preset pressure is applied to the jadeite rough and the soaking liquid; wherein, the preset pressure is 1×10 4 MPa / m 2 -2×10 4 MPa / m 2 The pressurization time for the preset pressure is 30-100 minutes. An X-ray tomography (CT) scan is performed on the jadeite rough sample to be tested to obtain the CT scan results. Based on the CT scan results, the fissures in the jadeite rough sample are analyzed to generate analysis results. If the analysis results indicate the presence of fissures, the characteristic information and location information of the fissures in the jadeite rough sample are obtained from the CT scan results to generate fissure analysis results. The characteristic information of the fissures includes at least the complete shape and size of the fissures and the trend of the fissures within the jadeite rough sample. Several scan images related to the fissures are selected from the CT scan results to generate a three-dimensional graph of the fissure trend. When the jadeite rough sample to be tested is subjected to X-ray tomography scanning according to the first preset step size, a three-dimensional map of the external crack trend and the external crack analysis results of the jadeite rough are obtained accordingly; and based on the three-dimensional map of the external crack trend and the external crack analysis results, the external crack evaluation results of the jadeite rough are output. Obtain the target image sequence corresponding to the three-dimensional map of the external crack trend; preprocess the target image sequence to generate a preprocessed image sequence; enlarge the preprocessed image sequence to obtain an enlarged image sequence; select several scan images related to microcracks from the enlarged image sequence to generate a three-dimensional map of microcrack trend; based on the three-dimensional map of microcrack trend, obtain the feature information and location information of microcracks in the jadeite rough to be tested, and generate microcrack analysis results; wherein, the feature information of microcracks includes at least the complete shape, size and trend of microcracks inside the jadeite rough to be tested; based on the three-dimensional map of microcrack trend and the microcrack analysis results, output the microcrack evaluation results of the jadeite rough to be tested; When the jadeite rough sample to be tested is subjected to X-ray tomography scanning according to the second preset step size, a three-dimensional map of the internal fracture trend and the internal fracture analysis results of the jadeite rough to be tested are obtained accordingly; and based on the three-dimensional map of the internal fracture trend and the internal fracture analysis results, the internal fracture evaluation results of the jadeite rough to be tested are output. Wherein, the second preset step size is smaller than the first preset step size.

2. The method according to claim 1, characterized in that, The step of preprocessing the target image sequence to generate a preprocessed image sequence includes: The target image sequence is denoised to generate a denoised image sequence; The denoised image sequence is subjected to contrast processing to generate a preprocessed image sequence.

3. The method according to claim 1, characterized in that, Also includes: Acquire all scan images from the X-ray tomography results; For any two scanned images in all scanned images: if the difference in the average contrast of the two scanned images is less than a first preset threshold and the difference in grayscale values ​​is less than a second preset threshold, then the internal texture of the jadeite rough sample to be tested is determined to be uniform. Output the quality assessment results of the jadeite rough stone to be tested.

4. A device for detecting internal defects in jadeite rough based on X-ray detection, characterized in that, include: The first acquisition module is used to perform X-ray tomography on the jadeite rough sample to be tested and obtain the X-ray tomography results. The analysis module is used to analyze the cracks in the jadeite rough sample based on the X-ray tomography results and generate analysis results. The first generation module is used to obtain the characteristic information and location information of the crack in the jadeite rough sample to be tested from the X-ray tomographic scan results if the analysis results indicate the presence of cracks, and generate crack analysis results; wherein, the characteristic information of the crack includes at least the complete shape and size of the crack and the trend of the crack inside the jadeite rough sample to be tested. The first selection module is used to select several scan images related to the fracture from the X-ray tomography results and generate a three-dimensional map of the fracture trend. The first output module is used to output the fracture assessment result of the jadeite rough to be tested based on the three-dimensional fracture trend map and the fracture analysis result; to perform X-ray tomography scanning on the jadeite rough sample to be tested according to a first preset step size, and accordingly obtain the three-dimensional fracture trend map and the external fracture analysis result of the jadeite rough to be tested; and to output the external fracture assessment result of the jadeite rough to be tested based on the three-dimensional fracture trend map and the external fracture analysis result. The second acquisition module is used to acquire the target image sequence corresponding to the three-dimensional map of the external crack trend; the preprocessing module is used to preprocess the target image sequence to generate a preprocessed image sequence; the magnification processing module is used to magnify the preprocessed image sequence to obtain a magnified image sequence; the second selection module is used to select several scan images related to microcracks from the magnified image sequence to generate a three-dimensional map of the microcrack trend; the second generation module is used to obtain the feature information and location information of microcracks in the jadeite rough to be tested based on the three-dimensional map of the microcrack trend, and generate microcrack analysis results; wherein, the feature information of the microcracks includes at least the complete shape, size and trend of the microcracks inside the jadeite rough to be tested; the second output module is used to output the microcrack evaluation results of the jadeite rough to be tested based on the three-dimensional map of the microcrack trend and the microcrack analysis results. The first output module is also used to obtain, when performing X-ray tomography scanning on the jadeite rough sample to be tested according to the second preset step size, a three-dimensional map of the internal fracture trend of the jadeite rough sample to be tested and the internal fracture analysis results accordingly; and output the internal fracture evaluation results of the jadeite rough sample to be tested based on the three-dimensional map of the internal fracture trend and the internal fracture analysis results; wherein, the second preset step size is smaller than the first preset step size.

5. A computer-readable medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in any one of claims 1-3.

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