CN118501108A - A method, device and computer-readable medium for detecting jadeite rough stone - Google Patents

Abstract

The embodiment of the present invention provides a detection method, device and computer-readable medium for jadeite rough stone. A specific implementation of the method includes: first, obtaining a target fluorescence image corresponding to the jadeite rough stone sample; second, determining that there is a first feature in the target fluorescence image, then obtaining the first position of the first feature on the jadeite rough stone sample; wherein the first feature is used to indicate the feature related to external processing on the jadeite rough stone sample; then, based on the first position, infrared spectrum acquisition is performed to generate an infrared spectrum image; finally, if the infrared spectrum image indicates the presence of an absorption peak related to artificial materials, it is determined that the filling state of the jadeite rough stone sample is an artificial processing state. Therefore, this embodiment combines ultraviolet fluorescence and infrared spectroscopy, and can effectively identify the internal filling state of the jadeite rough stone without damaging the jadeite rough stone, thereby improving the accuracy of jadeite rough stone identification.

Description

A method, device and computer-readable medium for detecting jadeite rough stone

Technical Field

The present invention belongs to the field of jewellery and jade technology, and in particular relates to a detection method, device and computer-readable medium for jadeite raw stones.

Background Art

The outer layer of jadeite raw stone is usually covered with a weathered skin of uneven thickness. The presence or absence of the skin and its color and structural characteristics are intricately related to the internal texture. The economic benefits generated in the transaction process cause artificial counterfeiting methods that cannot be ignored. Therefore, it is very necessary to identify the authenticity of the jadeite raw stone skin.

The article "Identification of Real and Fake Jadeite Rough" puts forward two ways of counterfeiting jadeite: the type of fake jadeite with fake skin and the type of fake jadeite with fake skin, and puts forward basic identification methods such as observation, weighing, lighting, carving, knocking, touching, burning and testing. Previous researchers have reported on the identification methods of some fake skin jadeite rough stones, using naked eye observation, ultraviolet fluorescent lamps, infrared spectrometers and other means, but the existing detection methods all require the jadeite skin to be damaged, and cannot present intuitive and visual images of internally filled jadeite rough stones without damage.

Summary of the invention

In view of the above-mentioned problems existing in the prior art, the embodiments of the present invention provide a detection method, device and computer-readable medium for jadeite rough stone. The method can scientifically identify the jadeite rough stone without damaging the jadeite rough stone, thereby improving the accuracy of the identification.

According to a first aspect of an embodiment of the present invention, a detection method for jadeite rough stone is provided, the method comprising: obtaining a target fluorescence image corresponding to a jadeite rough stone sample; wherein the target fluorescence image is used to indicate an image corresponding to an abnormal position of the jadeite rough stone sample determined when ultraviolet fluorescence detection is performed on the jadeite rough stone sample; determining that a first feature exists in the target fluorescence image, obtaining a first position of the first feature on the jadeite rough stone sample; wherein the first feature is used to indicate a feature on the jadeite rough stone sample related to external processing; based on the first position, performing infrared spectrum acquisition to generate an infrared spectrum image; if the infrared spectrum image indicates the presence of an absorption peak related to artificial materials, determining that the filling state of the jadeite rough stone sample is an artificially processed state.

Optionally, the method also includes: if the infrared spectrum image shows that there is no absorption peak related to artificial materials, performing X-ray tomography on the jadeite raw stone sample to generate X-ray tomography results; and determining the filling state of the jadeite raw stone sample based on the X-ray tomography results.

Optionally, the method also includes: determining that the first feature does not exist in the target fluorescence image, performing X-ray tomography on the jadeite rough stone sample to generate an X-ray tomography result; and determining the filling state of the jadeite rough stone sample based on the X-ray tomography result.

Optionally, the method also includes: for any jadeite rough stone fluorescence image in the jadeite rough stone fluorescence image library: calculating the similarity between the jadeite rough stone fluorescence image and the target fluorescence image; if there is at least one jadeite rough stone fluorescence image in the jadeite rough stone fluorescence image library whose similarity is greater than a preset threshold, selecting the jadeite rough stone fluorescence image with the greatest similarity from at least one jadeite rough stone fluorescence image as a reference fluorescence image; and using the feature corresponding to the reference fluorescence image as the first feature corresponding to the target fluorescence image.

Optionally, the filling state of the jadeite rough stone sample is determined based on the X-ray tomography result; including: when the jadeite rough stone sample is a covered material, if the X-ray tomography result indicates the existence of a through closed line, then the filling state of the jadeite rough stone sample is determined to be artificially processed filling; when the jadeite rough stone sample is a window material, then the grayscale image between different structural layers of the window part is obtained from the X-ray tomography result; if the difference between the average grayscale values corresponding to the grayscale images of any two adjacent structural layers is greater than a preset threshold, then the filling state of the jadeite rough stone sample is determined to be an artificially processed state.

Optionally, the method also includes: selecting an X-section image containing a through closed line from the X-ray tomography results, performing denoising on the X-section image, and generating a denoised X-section image; counting the area corresponding to different color areas in the denoised X-section image; and determining the impurity composition and the content of each impurity in the jadeite raw stone sample based on the different area and color.

Optionally, the method further includes: based on the first position, collecting infrared spectra to generate an infrared spectral image; obtaining characteristic peaks of the infrared spectral image; for any spectral peak in the infrared spectral library: calculating the similarity between the spectral peak and the characteristic peak; if there is at least one spectral peak whose similarity is greater than a preset threshold, determining the at least one spectral peak as an absorption peak related to artificial materials.

According to a second aspect of an embodiment of the present invention, there is also provided a detection device for jadeite rough stone, the device comprising: a first acquisition module, used to acquire a target fluorescence image corresponding to a jadeite rough stone sample; wherein the target fluorescence image is used to indicate an image corresponding to an abnormal position of the jadeite rough stone sample determined when ultraviolet fluorescence detection is performed on the jadeite rough stone sample; a second acquisition module, used to determine the presence of a first feature in the target fluorescence image, and then acquire a first position of the first feature on the jadeite rough stone sample; wherein the first feature is used to indicate a feature on the jadeite rough stone sample related to external processing; a first generation module, used to perform infrared spectrum acquisition based on the first position to generate an infrared spectrum image; a first determination module, used to determine that the filling state of the jadeite rough stone sample is an artificial processing state if the infrared spectrum image indicates the presence of an absorption peak related to artificial materials.

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

According to a fourth aspect of an embodiment of the present invention, there is further provided a computer-readable medium on which a computer program is stored, and when the program is executed by a processor, the method as described in the first aspect is implemented.

The embodiment of the present invention provides a detection method, device and computer-readable medium for jadeite rough stone, the method comprising: first, obtaining a target fluorescence image corresponding to a jadeite rough stone sample; wherein the target fluorescence image is used to indicate an image corresponding to an abnormal position of the jadeite rough stone sample determined when the jadeite rough stone sample is subjected to ultraviolet fluorescence detection; second, determining that there is a first feature in the target fluorescence image, then obtaining a first position of the first feature on the jadeite rough stone sample; wherein the first feature is used to indicate a feature related to external processing on the jadeite rough stone sample; then, based on the first position, infrared spectrum acquisition is performed to generate an infrared spectrum image; finally, if the infrared spectrum image indicates the presence of an absorption peak related to artificial materials, it is determined that the filling state of the jadeite rough stone sample is an artificial processing state. Therefore, the present embodiment combines ultraviolet fluorescence and infrared spectroscopy, and can effectively identify the internal filling state of the jadeite rough stone without damaging the jadeite rough stone, thereby improving the accuracy of the identification of the jadeite rough stone; and solves the problem of jadeite rough stone being damaged due to the identification of the internal filling state of the jadeite rough stone in the prior art.

BRIEF DESCRIPTION OF THE DRAWINGS

Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings:

FIG1 is a schematic diagram of a flow chart of a method for detecting jadeite raw stones provided by an embodiment of the present invention;

FIG2 is a schematic diagram of a process for determining the filling state of a jadeite rough stone sample based on X-ray tomography results in one embodiment of the present invention;

FIG3 is a schematic diagram of the structure of a detection device for jadeite raw stone provided in one embodiment of the present invention.

DETAILED DESCRIPTION

As shown in FIG1 , it is a schematic diagram of a flow chart of a method for detecting jadeite raw stone provided in one embodiment of the present invention.

A method for detecting jadeite raw stone comprises at least the following steps:

S101, obtaining a target fluorescence image corresponding to a jadeite rough stone sample; wherein the target fluorescence image is used to indicate an image corresponding to an abnormal position of the jadeite rough stone sample determined when ultraviolet fluorescence detection is performed on the jadeite rough stone sample;

S102, determining that a first feature exists in the target fluorescent image, and obtaining a first position of the first feature on the jadeite rough stone sample; wherein the first feature is used to indicate a feature related to external processing on the jadeite rough stone sample;

S103, based on the first position, performing infrared spectrum acquisition to generate an infrared spectrum image;

S104, if the infrared spectrum image indicates the presence of an absorption peak associated with artificial materials, determining that the filling state of the jadeite rough stone sample is an artificially processed state;

Under normal circumstances, jadeite raw stones do not have fluorescence, but if there is dust, grease, fiber, small hair particles, and organic matter used for artificial counterfeiting on the jadeite raw stones, they will leave fluorescence. Non-processing factors include: dust, grease, fiber, small hair particles, etc.; external processing factors include: organic matter used for artificial counterfeiting, etc.

In S101, ultraviolet fluorescence test is performed on all exposed positions of the jadeite rough stone sample. If the ultraviolet fluorescence test result indicates the presence of a fluorescent position, the fluorescent position is determined as an abnormal position of the jadeite rough stone, and a magnifying glass with a preset magnification is controlled to collect an image of the abnormal position of the jadeite rough stone, thereby obtaining a target fluorescence image corresponding to the jadeite rough stone sample. The fluorescence wavelength used in the ultraviolet fluorescence test is 365nm.

In S102, here, there is no limitation on the specific process of how to determine whether the first feature exists in the target fluorescence image. For example, it is possible to determine whether the first feature exists in the target fluorescence image based on the jadeite raw stone fluorescence image library; it is also possible to determine whether the first feature exists in the target fluorescence image by performing image recognition on the jadeite raw stone fluorescence image.

The first feature is the feature left on the jadeite raw stone due to external processing factors. In other words, the first feature is used to indicate the features related to external processing on the jadeite raw stone sample.

The position information of the first feature on the jadeite rough stone sample, that is, the first position, is obtained based on the target fluorescence image.

In S103, the micro-region at the first position is sampled, and infrared spectrum of the sample is collected using attenuated total reflection method to generate an infrared spectrum image; wherein the maximum diameter of the micro-region is less than 1 mm.

In S104, here, it is possible to determine whether there is an absorption peak related to artificial materials in the infrared spectrum image based on the infrared spectrum library; it is also possible to determine whether there is an absorption peak related to artificial materials in the infrared spectrum image by performing image recognition on the infrared spectrum image.

The filling states of jadeite raw stone samples are divided into two types: artificially processed state and natural state.

This embodiment combines ultraviolet fluorescence and infrared spectroscopy, and can effectively identify the internal filling state of jadeite raw stone without damaging the jadeite raw stone, thereby improving the accuracy of jadeite raw stone identification; and solves the problem in the prior art that the jadeite raw stone is damaged due to the identification of the internal filling state of the jadeite raw stone.

Another embodiment of the present invention provides a method for detecting jadeite raw stone, which comprises at least the following steps:

S1, obtaining a target fluorescence image corresponding to a jadeite rough stone sample; wherein the target fluorescence image is used to indicate an image corresponding to an abnormal position of the jadeite rough stone sample determined when ultraviolet fluorescence detection is performed on the jadeite rough stone sample;

S2, for any jadeite raw stone fluorescence image in the jadeite raw stone fluorescence image library: calculate the similarity between the jadeite raw stone fluorescence image and the target fluorescence image; if there is at least one jadeite raw stone fluorescence image with a similarity greater than a preset threshold in the jadeite raw stone fluorescence image library, execute step S3; if there is no jadeite raw stone fluorescence image with a similarity greater than the preset threshold in the jadeite raw stone fluorescence image library, execute step S4;

S3, selecting the jadeite raw stone fluorescence image with the greatest similarity from the at least one jadeite raw stone fluorescence image as a reference fluorescence image; using the feature corresponding to the reference fluorescence image as the first feature corresponding to the target fluorescence image; and then executing step S5;

S4, determining that the first feature does not exist in the target fluorescent image; and performing an X-ray tomography scan on the jadeite rough stone sample to generate an X-ray tomography scan result; and then executing step S9;

S5, obtaining a first position of the first feature on the jadeite rough stone sample; wherein the first feature is used to indicate a feature on the jadeite rough stone sample related to external processing; and based on the first position, performing infrared spectrum acquisition to generate an infrared spectrum image;

S6, obtaining characteristic peaks of the infrared spectrum image; for any spectrum peak in the infrared spectrum library: calculating the similarity between the spectrum peak and the characteristic peak; if there is at least one spectrum peak whose similarity is greater than a preset threshold, executing step S7; if there is no spectrum peak whose similarity is greater than the preset threshold, executing step S8;

S7, determining the at least one spectral peak as an absorption peak associated with an artificial material; and based on the absorption peak associated with the artificial material, determining that the filling state of the jadeite rough stone sample is an artificially processed state;

S8, determining that the infrared spectrum image characterizes the absence of absorption peaks associated with artificial materials, and performing an X-ray tomography scan on the jadeite rough stone sample to generate an X-ray tomography scan result;

S9, determining the filling state of the jadeite raw stone sample based on the X-ray tomography result.

When neither infrared spectroscopy nor ultraviolet fluorescence detection detects the internal filling state of the jadeite rough stone sample, the jadeite rough stone sample is subjected to X-ray tomography scanning by X-ray tomography technology, and the filling state of the jadeite rough stone sample is determined based on the X-ray tomography scanning results.

Specifically, the jadeite rough stone sample is placed in the sample chamber of the scanning device, and the jadeite rough stone sample is subjected to X-ray tomography according to a preset step length to generate an X-ray tomography result. Here, a suitable scanning voltage and current are set according to the size of the jadeite rough stone sample, and the scanning voltage is 150kV-450kv; the scanning current is 1.5mA-3mA.

The present invention combines ultraviolet fluorescence technology, red light spectrum technology and X-ray tomography technology to scientifically judge the internal filling state of jadeite raw stone without damaging the jadeite raw stone, thereby improving the accuracy of identification of the internal filling state of jadeite raw stone.

In a preferred implementation of the present embodiment, the method further includes: selecting an X-section image containing a through closed line from the X-ray tomography results; performing denoising processing on the X-section image to generate a denoised X-section image; counting the area corresponding to different color areas in the denoised X-section image; and determining the impurity composition and the content of each impurity in the jadeite raw stone sample based on the different area and color.

Specifically, since the X-section image containing the through closed line is a section image with more comprehensive information, in order to conduct qualitative and quantitative analysis on the internal filling state of the jadeite raw stone, it is necessary to select the X-section image containing the through closed line from the X-ray tomography results. Then, the selected X-section image is subjected to noise reduction processing, and the image contrast is enhanced by using the tone mapping method, so as to effectively obtain more detailed information of the image.

When other impurity minerals (such as albite, quartz, etc.) exist in the jadeite rough stone; due to the obvious density difference between other impurity minerals and the jadeite rough stone (i.e. jadeite), the jadeite rough stone sample will show different tones such as black, white, gray, and purple after X-ray tomography. Therefore, different color areas in the X-ray section image are obtained, and the areas of different color areas are counted, so that the distribution of impurity minerals in the jadeite rough stone sample can be qualitatively and quantitatively analyzed, further improving the accuracy of jadeite rough stone identification.

It should be noted that if the internal filling state of the jadeite raw stone is in a natural state, the X-section image will be gray; if the internal filling state of the jadeite raw stone is in an artificially processed state, the X-section image will show different color differences; different colors in the X-section image represent different minerals.

As shown in FIG2 , it is a schematic diagram of a process for determining the filling state of a jadeite raw stone sample based on X-ray tomography results in one embodiment of the present invention.

Determining the filling state of the jadeite rough stone sample based on the X-ray tomography results includes at least the following steps:

S201, when the jadeite rough stone sample is a covered material, if the X-ray tomography result indicates the presence of a through closed line, determining that the filling state of the jadeite rough stone sample is artificially processed and filled;

S202, when the jadeite raw stone sample is a window material, the grayscale image between different structural layers of the window opening part is obtained from the X-ray tomography results; if the difference between the average grayscale values corresponding to the grayscale images of any two adjacent structural layers is greater than a preset threshold, it is determined that the filling state of the jadeite raw stone sample is an artificially processed state.

Specifically, jadeite raw stones are divided into covered materials and window materials according to their appearance. When the jadeite raw stone samples are placed, the window part of the window material should be kept parallel to the sample bin table as much as possible, and the supporting material should be selected from lightweight materials such as plastic and foam.

When the jadeite rough stone sample is a covered material, multiple cross-sectional views of the jadeite rough stone sample are checked based on the X-ray tomography results. If a through closed line from top to bottom can be queried based on the cross-sectional image corresponding to the three coordinate axis directions of the space, it can be judged that the filling state of the jadeite rough stone sample is an artificially processed state.

When the jadeite rough stone sample is a window material, the color and grayscale differences will appear due to the density differences of different structural layers (for example: glue layer, tin foil layer, dye layer, skin, internal jade flesh, etc.) in the window opening part; for this reason, it is necessary to first calculate the average grayscale value corresponding to the grayscale image of any structural layer, and then calculate the difference between the average grayscale values corresponding to any two adjacent structural layers; if all the differences are greater than the preset threshold, it is determined that the filling state of the jadeite rough stone sample is an artificially processed state.

It should be noted that when the jadeite rough stone is a window material, the internal filling state of the jadeite rough stone can also be judged based on whether there is a through closed line in the X-ray tomography results. This embodiment analyzes the X-ray tomography results of the window opening, thereby reducing the overall scanning of the jadeite rough stone sample and improving the timeliness of obtaining the filling state of the jadeite rough stone sample.

Therefore, this embodiment combines the inherent characteristics of different types of jadeite raw stones and uses X-ray tomography technology to intuitively present the internal filling state of jadeite raw stones. It can not only provide an intuitive and scientific diagnostic basis for the detection and identification of jadeite raw stones, but also can accurately identify the internal filling state of different types of jadeite raw stones based on X-ray tomography results, thereby improving the accuracy of jadeite raw stone identification.

As shown in FIG3 , it is a schematic diagram of the structure of a detection device for jadeite raw stone provided in one embodiment of the present invention.

A detection device for jadeite rough stone, the device 300 includes a first acquisition module 301, which is used to acquire a target fluorescence image corresponding to a jadeite rough stone sample; wherein the target fluorescence image is used to indicate an image corresponding to an abnormal position of the jadeite rough stone sample determined when ultraviolet fluorescence detection is performed on the jadeite rough stone sample; a second acquisition module 302, which is used to determine the presence of a first feature in the target fluorescence image, and then acquire a first position of the first feature on the jadeite rough stone sample; wherein the first feature is used to indicate a feature related to external processing on the jadeite rough stone sample; a first generation module 303, which is used to perform infrared spectrum acquisition based on the first position to generate an infrared spectrum image; a first determination module 304, which is used to determine that the filling state of the jadeite rough stone sample is an artificial processing state if the infrared spectrum image indicates the presence of an absorption peak related to artificial materials.

In a preferred implementation manner of this embodiment, the device also includes: a scanning image, for performing an X-ray tomography on the jadeite raw stone sample to generate an X-ray tomography result if the infrared spectrum image indicates the absence of absorption peaks related to artificial materials; and a second determination module, for determining the filling state of the jadeite raw stone sample based on the X-ray tomography result.

In a preferred implementation manner of this embodiment, the device also includes: a third determination module, used to determine that the first feature does not exist in the target fluorescence image, and then perform an X-ray tomography on the jadeite rough stone sample to generate an X-ray tomography result; a fourth determination module, used to determine the filling state of the jadeite rough stone sample based on the X-ray tomography result.

In a preferred implementation manner of this embodiment, the device also includes: a first calculation module, used to calculate the similarity between any jadeite rough stone fluorescence image in the jadeite rough stone fluorescence image library and the target fluorescence image; a first selection module, used to select the jadeite rough stone fluorescence image with the greatest similarity from the at least one jadeite rough stone fluorescence image as a reference fluorescence image if there is at least one jadeite rough stone fluorescence image with a similarity greater than a preset threshold in the jadeite rough stone fluorescence image library; and a fifth determination module, used to use the feature corresponding to the reference fluorescence image as the first feature corresponding to the target fluorescence image.

In a preferred implementation manner of the present embodiment, the fourth determination module includes: a first determination unit, which is used for, when the jadeite raw stone sample is a covered material, if the X-ray tomography result indicates the existence of a through closed line, then determining that the filling state of the jadeite raw stone sample is artificially processed filling; a second determination unit, which is used for, when the jadeite raw stone sample is a window material, obtaining the grayscale image between different structural layers of the window part from the X-ray tomography result; if the difference between the average grayscale values corresponding to the grayscale images of any two adjacent structural layers is greater than a preset threshold, then determining that the filling state of the jadeite raw stone sample is an artificially processed state.

In a preferred implementation of this embodiment, the device also includes: a second selection module, used to select an X-section image containing a through closed line from the X-ray tomography results; a second generation module, used to perform noise reduction processing on the X-section image to generate a noise-reduced X-section image; a statistical module, used to count the area corresponding to different color areas in the noise-reduced X-section image; a sixth determination module, used to determine the impurity composition and the content of each impurity in the jadeite raw stone sample based on the different area and color.

In a preferred implementation manner of this embodiment, the device also includes: a third generation module, used to collect infrared spectra based on the first position to generate an infrared spectrum image; a third acquisition module, used to acquire characteristic peaks of the infrared spectrum image; a second calculation module, used to calculate the similarity between any spectral peak in the infrared spectrum library and the characteristic peak; and a seventh determination module, used to determine the at least one spectral peak as an absorption peak related to artificial materials if there is at least one spectral peak whose similarity is greater than a preset threshold.

The above device can execute a detection method for jadeite raw stone provided by an embodiment of the present invention, and has the corresponding functional modules and beneficial effects of executing a detection method for jadeite raw stone. For technical details not described in detail in this embodiment, please refer to a detection method for jadeite raw stone provided by an embodiment of the present invention.

The present invention also provides an electronic device, comprising: a processor; a memory for storing executable instructions of the processor; the processor is used to read the executable instructions from the memory and execute the instructions to implement a detection method for jadeite raw stone described in the present invention.

In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

The computer program product may be written in any combination of one or more programming languages to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the method according to the following embodiments of the present application described in the above "Exemplary Method" section of this specification.

The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and/or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and/or recombined. Such decomposition and/or recombination should be regarded as equivalent solutions of the present application.

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

The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. Moreover, the described specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (10)

1. A method for detecting jadeite raw stone, characterized by comprising: Acquire a target fluorescence image corresponding to the jadeite rough stone sample; wherein the target fluorescence image is used to indicate an image corresponding to an abnormal position of the jadeite rough stone sample determined when ultraviolet fluorescence detection is performed on the jadeite rough stone sample; Determining that a first feature exists in the target fluorescent image, obtaining a first position of the first feature on the jadeite rough stone sample; wherein the first feature is used to indicate a feature related to external processing on the jadeite rough stone sample; Based on the first position, performing infrared spectrum acquisition to generate an infrared spectrum image; If the infrared spectrum image indicates the presence of absorption peaks related to artificial materials, it is determined that the filling state of the jadeite raw stone sample is an artificially processed state. 2. The method according to claim 1, further comprising: If the infrared spectrum image indicates that there is no absorption peak associated with artificial materials, an X-ray tomography is performed on the jadeite rough stone sample to generate an X-ray tomography result; The filling state of the jadeite raw stone sample is determined based on the X-ray tomography results. 3. The method according to claim 1, further comprising: Determining that the first feature does not exist in the target fluorescent image, performing an X-ray tomography scan on the jadeite rough stone sample to generate an X-ray tomography scan result; The filling state of the jadeite raw stone sample is determined based on the X-ray tomography results. 4. The method according to claim 1, further comprising: For any jadeite raw stone fluorescence image in the jadeite raw stone fluorescence image library: calculating the similarity between the jadeite raw stone fluorescence image and the target fluorescence image; If there is at least one jadeite raw stone fluorescence image with a similarity greater than a preset threshold in the jadeite raw stone fluorescence image library, a jadeite raw stone fluorescence image with the greatest similarity is selected from the at least one jadeite raw stone fluorescence image as a reference fluorescence image; The feature corresponding to the reference fluorescent image is used as the first feature corresponding to the target fluorescent image. 5. The method according to claim 2 or 3, characterized in that the step of determining the filling state of the jadeite rough stone sample based on the X-ray tomography result comprises: When the jadeite rough stone sample is a covered material, if the X-ray tomography result indicates the presence of a through closed line, it is determined that the filling state of the jadeite rough stone sample is artificially processed and filled; When the jadeite rough stone sample is a window material, the grayscale image between different structural layers of the window opening part is obtained from the X-ray tomography results; if the difference between the average grayscale values corresponding to the grayscale images of any two adjacent structural layers is greater than a preset threshold, it is determined that the filling state of the jadeite rough stone sample is an artificially processed state. 6. The method according to claim 2, further comprising: Selecting an X-section image containing a through closed line from the X-ray tomography results; Performing noise reduction processing on the X-section image to generate a noise-reduced X-section image; Counting the area of regions corresponding to different color regions in the X-section image after noise reduction; The impurity composition and content of each impurity in the jadeite raw stone sample are determined according to the area and color of different regions. 7. The method according to claim 1, further comprising: Based on the first position, performing infrared spectrum acquisition to generate an infrared spectrum image; Acquire characteristic peaks of the infrared spectrum image; For any spectral peak in the infrared spectrum library: calculating the similarity between the spectral peak and the characteristic peak; If there is at least one spectral peak whose similarity is greater than a preset threshold, the at least one spectral peak is determined as an absorption peak associated with the artificial material. 8. A detection device for jadeite raw stone, characterized by comprising: A first acquisition module is used to acquire a target fluorescence image corresponding to the jadeite rough stone sample; wherein the target fluorescence image is used to indicate an image corresponding to an abnormal position of the jadeite rough stone sample determined when ultraviolet fluorescence detection is performed on the jadeite rough stone sample; A second acquisition module is used to determine that there is a first feature in the target fluorescent image, and then obtain a first position of the first feature on the jadeite rough stone sample; wherein the first feature is used to indicate a feature related to external processing on the jadeite rough stone sample; A first generating module, used for collecting infrared spectrum based on the first position to generate an infrared spectrum image; The first determination module is used to determine that the filling state of the jadeite raw stone sample is an artificially processed state if the infrared spectrum image characterizes the presence of absorption peaks related to artificial materials. 9. An electronic device, comprising: a processor; a memory for storing instructions executable by the processor; the processor, for reading the executable instructions from the memory and executing the instructions to implement the method as described in any one of claims 1-7. 10. A computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method according to any one of claims 1 to 7.