Method for detecting pollutants in high-purity quartz sand and related device

Abstract

The invention relates to a method for detecting pollutants in high-purity quartz sand and a related device, and belongs to the technical field of image recognizing.The method for detecting the pollutants in the high-purity quartz sand comprises the steps that feature extraction is conducted on obtained sand sample images of the high-purity quartz sand to be detected, and multiple sand sample feature images are obtained; performing feature analysis on each sand sample feature image, and determining the probability of the category to which each pixel point in the sand sample feature image belongs; and determining the category of each pixel point based on the probability of the category of each pixel point in each sand sample feature image, and determining the pollutant level of the to-be-detected high-purity quartz sand based on the category of each pixel point. According to the method, pollutants in the sand sample image can be accurately identified through an image identification technology, chemical treatment on the to-be-detected high-purity quartz sand is not needed, and detection of the pollutants in the high-purity quartz sand is more convenient and quicker.

Description

Technical Field

[0001] The present invention relates to the technical field of image recognition, and in particular to a method for detecting pollutants in high-purity quartz sand and a related device. Background Art

[0002] High-purity quartz sand refers to quartz with a SiO2 mass fraction higher than 99.99%. Its unique crystal structure and lattice characteristics give it excellent optical properties, corrosion resistance, high temperature resistance, and high insulation. As a key material in high-tech industries, high-purity quartz sand is not only used in the photovoltaic industry of new energy, but is also an indispensable material in the semiconductor field. With the development of communications and electronic technology, the demand for high-purity quartz sand has also increased significantly. The most notable feature of high-purity quartz sand is its high SiO2 purity. In addition to its own impurities, contaminants mixed into the production process are also key factors restricting its purity and performance. In order to minimize the defects that may be caused by contaminants, in addition to accurately controlling the process steps and environmental conditions, the identification and detection of contaminants in the raw sand is an indispensable analytical step to ensure the highest pass rate.

[0003] At present, the identification and detection of pollutants in high-purity quartz sand has not been taken seriously. The purity and quality of the fine sand are basically judged by the detection of chemical composition. However, due to the extremely small sampling of chemical purity detection, it is difficult to obtain trace pollutants, resulting in a strong randomness in chemical purity detection, and thus the result cannot well reflect the quality of quartz sand. Very few units and individuals expect to use stereoscopic microscopy technology to take multiple photos and then perform manual visual identification. On the one hand, this method has high labor costs, low work efficiency, and large judgment errors. On the other hand, it is difficult to accurately observe pollutants using stereoscopic microscopy, making it impossible to find the cause of pollution and remove it in a corresponding form.

[0004] It can be seen that the existing technology is unable to accurately detect pollutants in high-purity quartz sand. Summary of the invention

[0005] In view of this, it is necessary to provide a method and related device for detecting pollutants in high-purity quartz sand to solve the problem that the existing technology cannot accurately detect pollutants in high-purity quartz sand.

[0006] In order to solve the above problems, the present invention provides a method for detecting pollutants in high-purity quartz sand, comprising: Performing feature extraction on the acquired sand sample image of the high-purity quartz sand to be tested to obtain multiple sand sample feature images; Performing feature analysis on each sand sample feature image to determine the probability of each pixel point in the sand sample feature image belonging to a category; The category to which each pixel belongs is determined based on the probability of the category to which each pixel belongs in each sand sample characteristic image, and the pollutant level of the high-purity quartz sand to be detected is determined based on the category to which each pixel belongs.

[0007] In a possible implementation, obtaining a sand sample image of the high-purity quartz sand to be tested includes: A plurality of sand sample images of the quartz sand oil immersion sheet are taken based on a plurality of different shooting angles, wherein a preset number of high-purity quartz sand particles to be detected are distributed in the quartz sand oil immersion sheet.

[0008] In a possible implementation, feature extraction is performed on the sand sample image to obtain multiple sand sample feature images, including: Performing grayscale processing on the sand sample images to obtain a grayscale image of each sand sample image; Determine the target pixel point area belonging to the foreground in the grayscale image based on the pixel value of each pixel point in the grayscale image; The target pixel point area is extracted to obtain the sand sample characteristic image of the sand sample image.

[0009] In a possible implementation, determining a target pixel point region belonging to a foreground in the grayscale image based on the pixel value of each pixel point in the grayscale image includes: Determine the target pixel points belonging to the particle closed area based on the pixel values ​​of each pixel point in the grayscale image; The pixel area corresponding to the target pixel point of each particle closed area is determined as the target pixel point area.

[0010] In a possible implementation, feature analysis is performed on each sand sample feature image to determine the probability of each pixel point in the sand sample feature image belonging to a category, including: Each particle closed area within the target pixel area is identified to determine the probability of each particle closed area belonging to the particle category.

[0011] In a possible implementation, determining the category to which each pixel point belongs based on the probability of the category to which each pixel point in each sand sample characteristic image belongs includes: The particle closed area with a probability greater than a preset probability threshold is determined as a quartz sand particle, and the particle closed area with a probability less than or equal to the preset probability threshold is determined as a pollutant particle.

[0012] In a possible implementation, the purity of the high-purity quartz sand to be detected is determined based on the category to which each pixel point belongs, including: The pollutant level of the high-purity quartz sand to be tested is determined based on the number of quartz sand particles and the number of pollutant particles in the sand sample image.

[0013] The present invention also provides a pollutant detection device in high-purity quartz sand, comprising: An image feature extraction module is used to extract features from the acquired sand sample image of the high-purity quartz sand to be tested, and obtain multiple sand sample feature images; The particle recognition module is used to perform feature analysis on each sand sample feature image and determine the probability of each pixel point in the sand sample feature image belonging to a category; The pollutant level determination module is used to determine the category to which each pixel point belongs based on the probability of the category to which each pixel point belongs in each sand sample characteristic image, and to determine the pollutant level of the high-purity quartz sand to be detected based on the category to which each pixel point belongs.

[0014] The present invention also provides an electronic device, comprising a memory and a processor, wherein: Memory, used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps of the method for detecting pollutants in high-purity quartz sand in any of the above embodiments.

[0015] The present invention also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps of the method for detecting pollutants in high-purity quartz sand of any of the above embodiments. The beneficial effects of the present invention are as follows: the pollutant detection method in high-purity quartz sand provided by the present invention obtains a sand sample image of the high-purity quartz sand to be detected, and performs feature extraction on the sand sample image to obtain multiple sand sample feature maps, performs feature analysis on the sand sample feature map, determines the probability of the category to which each pixel point in the sand sample feature map belongs, and determines the category to which each pixel point in the sand sample feature map belongs based on the probability, and determines the pollutant level of the high-purity quartz sand to be detected based on the category to which each pixel point belongs. The pollutants in the sand sample image can be accurately identified by image recognition technology, and there is no need to chemically treat the high-purity quartz sand to be detected, so the detection of the pollutant level in the high-purity quartz sand is more convenient and faster. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A schematic diagram of a process for detecting pollutants in high-purity quartz sand provided in an embodiment of the present invention; Figure 2 A schematic flow chart of a sand sample characteristic map extraction method provided by an embodiment of the present invention; Figure 3A schematic diagram of a flow chart of a method for acquiring a target pixel area provided by an embodiment of the present invention; Figure 4 An image of a primary pollutant high-purity quartz sand provided by an embodiment of the present invention; Figure 5 An image of high-purity quartz sand of a secondary pollutant provided by an embodiment of the present invention; Figure 6 An image of a three-level pollutant high-purity quartz sand provided by an embodiment of the present invention; Figure 7 A schematic diagram of the structure of a pollutant detection device in high-purity quartz sand provided by an embodiment of the present invention; Figure 8 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0019] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" and "second" may explicitly or implicitly include at least one of the features.

[0020] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0021] A specific embodiment of the present invention, as Figure 1 As shown, a method for detecting pollutants in high-purity quartz sand is disclosed, comprising: S101, extracting features from the acquired sand sample image of the high-purity quartz sand to be tested to obtain a plurality of sand sample feature images; S102, performing feature analysis on each sand sample feature image to determine the probability of each pixel point in the sand sample feature image belonging to a category; S103, determining the category to which each pixel point belongs based on the probability of the category to which each pixel point in each sand sample characteristic image belongs, and determining the pollutant level of the high-purity quartz sand to be detected based on the category to which each pixel point belongs.

[0022] In the embodiment of the present invention, the sand sample image refers to an image taken after sampling the high-purity quartz sand to be tested. When sampling the high-purity quartz sand to be tested, the uniformity of the sampling should be ensured as much as possible. Specifically, the high-purity quartz sand to be tested can be sampled uniformly multiple times. The sand sample feature image refers to an image that can display the image features of the high-purity quartz sand to be tested in the sand sample image, which can be a grayscale image, wherein the process of extracting features from the sand sample image can be grayscale processing of the sand sample image first, and then extracting features from the grayscale processed image.

[0023] Furthermore, for the sand sample characteristic image, feature analysis needs to be performed to determine the probability of the category to which each pixel point in the sand sample characteristic image belongs; wherein the category to which each pixel point belongs includes a high-purity quartz sand category or a pollutant category. When feature analysis is performed on the sand sample characteristic image, the category to which each pixel point belongs can be determined.

[0024] Furthermore, after determining the category to which each pixel point belongs based on the probability of the category to which each pixel point belongs in each sand sample characteristic map, the pollutant level of the high-purity quartz sand to be detected can be determined based on the ratio of high-purity quartz sand and pollutants in a sand sample characteristic map.

[0025] The method for detecting pollutants in high-purity quartz sand provided by the present invention obtains a sand sample image of the high-purity quartz sand to be detected, extracts features from the sand sample image, obtains multiple sand sample feature maps, performs feature analysis on the sand sample feature map, determines the probability of the category to which each pixel point in the sand sample feature map belongs, and determines the category to which each pixel point in the sand sample feature map belongs based on the probability, and determines the pollutant level of the high-purity quartz sand to be detected based on the category to which each pixel point belongs. The pollutants in the sand sample image can be accurately identified by image recognition technology, and there is no need to chemically treat the high-purity quartz sand to be detected, so the detection of pollutants in the high-purity quartz sand is more convenient and faster.

[0026] As a possible implementation of the present invention, in this implementation, obtaining the sand sample image of the high-purity quartz sand to be tested includes: A plurality of sand sample images of the quartz sand oil immersion sheet are taken based on a plurality of different shooting angles, wherein a preset number of high-purity quartz sand particles to be detected are distributed in the quartz sand oil immersion sheet.

[0027] In an embodiment of the present invention, in order to ensure the clarity of the sand sample image acquisition and the obviousness of the sand sample features in the subsequent sand sample feature images, multiple sand sample images of the quartz sand oil immersion film can be taken based on multiple different shooting angles, wherein there can be multiple sand sample oil immersion films, for example, the same high-purity quartz sand source to be detected is uniformly sampled multiple times, and then each sample sand is dripped with drug oil to immerse it, so as to obtain multiple sand sample oil immersion films. Further, in order to ensure the accuracy of purity detection, the number of particles in each sand sample oil immersion film should be ensured to be within a certain range, such as 500 to 800 particles. Further, when shooting the sand sample oil immersion film, the sand sample oil immersion film should be shot in all directions from multiple angles. Optionally, each sand sample oil immersion film can be shot 20 to 30 times to obtain 20 to 30 sand sample images.

[0028] The embodiment of the present invention makes a sand sample oil immersion film after uniformly sampling the high-purity quartz sand to be inspected, ensures that the number of particles in the sand sample oil immersion film is within a certain range, and shoots the sand sample oil immersion film at multiple angles to ensure that the obtained sand sample image has universal applicability.

[0029] As a possible implementation mode of the present invention, in this implementation mode, Figure 2 As shown, feature extraction is performed on the sand sample image to obtain multiple sand sample feature images, including: S201, grayscale processing is performed on the sand sample images to obtain a grayscale image of each sand sample image; S202, determining a target pixel point region belonging to the foreground in the grayscale image based on the pixel value of each pixel point in the grayscale image; S203, extracting the target pixel point area to obtain a sand sample characteristic image of the sand sample image.

[0030] In an embodiment of the present invention, when performing feature extraction on a sand-like image to obtain a plurality of sand-like feature images, for the plurality of sand-like images extracted in the aforementioned embodiment, for each sand-like image, grayscale processing is first performed to obtain a grayscale map for representing the grayscale value of each pixel, and then the target pixel point area in the grayscale map belonging to the foreground of the image is determined based on the pixel value of each pixel in the grayscale map, wherein the target pixel point area belonging to the foreground refers to the area in the grayscale map used to represent particles, which can be quartz sand particles or pollutant particles. Specifically, pixels with grayscale values ​​within a certain range can be determined as target pixels, and then the area formed by connected target pixels is determined as the target pixel point area. Further, each target pixel point area in the grayscale map is extracted to obtain a sand-like feature map of the sand-like image.

[0031] Further, such as Figure 3 As shown, determining the target pixel point area belonging to the foreground in the grayscale image based on the pixel value of each pixel point in the grayscale image includes: S301, determining a target pixel point belonging to a particle closed area based on the pixel value of each pixel point in the grayscale image; S302: Determine the pixel area corresponding to the target pixel point of each particle closed area as the target pixel point area.

[0032] In an embodiment of the present invention, a particle closed area refers to a closed area formed by pixel points belonging to particles. Since quartz sand particles and pollutant particles exist independently, in the grayscale image, each quartz sand particle and pollutant particle will constitute an independent particle closed area, and the area that is not a particle closed area belongs to the image background and can be discarded. Optionally, when identifying target pixels, the particle closed area can be determined based on the pixel values ​​of each pixel. For example, for a particle closed area, the difference between all connected pixel points in the particle closed area should be within a certain range, or, for the outer boundary of a particle closed area, the difference in pixel value between it and the surrounding connected pixel points should be greater than a certain range, or, for a particle closed area, the difference in pixel values ​​of all its pixel points should be within a certain range. The present invention does not limit this.

[0033] Furthermore, after all the closed areas of the particles are determined, the pixels in all the closed areas of the particles are extracted to obtain a target pixel area, wherein the target pixel area is the area corresponding to all the particles in the sand sample characteristic map.

[0034] The embodiment of the present invention determines all particle areas in the sand sample characteristic map through the pixel value of each pixel point, which facilitates the subsequent identification of quartz sand and pollutants.

[0035] As a possible implementation of the present invention, in this implementation, feature analysis is performed on each sand sample feature image to determine the probability of each pixel point in the sand sample feature image belonging to a category, including: Each particle closed area within the target pixel area is identified to determine the probability of each particle closed area belonging to the particle category.

[0036] In the embodiment of the present invention, for each particle closed area extracted from the sand sample characteristic map, it is necessary to identify the particle closed area to determine whether the particle closed area is quartz sand or a pollutant, wherein the particle closed area can be identified based on the shape of the particle closed area, based on the pixel value of the particle closed area, based on the size of the particle closed area, etc., and the present invention does not limit this. In a possible implementation, the particle closed area can be identified based on the pixel value of each particle closed area, for example, the particle closed area with an average pixel value greater than a certain value is regarded as high-purity quartz sand, and the particle closed area with an average pixel value less than or equal to a certain value is determined as a pollutant.

[0037] The embodiment of the present invention can determine whether each particle closed area belongs to quartz sand or pollutants by identifying the particle closed area, which facilitates the subsequent calculation of the pollutant level in the quartz sand.

[0038] As a possible implementation of the present invention, in this implementation, determining the category to which each pixel point belongs based on the probability of the category to which each pixel point in each sand sample characteristic image belongs includes: The particle closed area with a probability greater than a preset probability threshold is determined as a quartz sand particle, and the particle closed area with a probability less than or equal to the preset probability threshold is determined as a pollutant particle.

[0039] Furthermore, for the identification of particle closed areas, whether it is based on the shape of the particle closed area, the pixel value of the particle closed area, or the size of the particle closed area, a probability that the particle closed area belongs to quartz sand or pollutants can be obtained. Based on this, a probability threshold can be set to determine the particle closed area with a probability greater than the preset probability threshold as quartz sand particles, and the particle closed area with a probability less than or equal to the preset probability threshold as pollutant particles.

[0040] Furthermore, the pollutant level of the high-purity quartz sand to be detected is determined based on the category to which each pixel belongs, including: The pollutant level of the high-purity quartz sand to be tested is determined based on the number of quartz sand particles and the number of pollutant particles in the sand sample image.

[0041] In the embodiment of the present invention, after all closed areas of particles are identified, the number of quartz sand particles and the number of pollutant particles corresponding to each sand sample image can be obtained. Based on this, the pollutant level of the high-purity quartz sand can be determined. Specifically, the pollutants in the high-purity quartz sand can be classified into levels, such as Figures 4 to 6 As shown in the figure, there are sample images of high-purity quartz sand with primary pollutants, high-purity quartz stone with secondary pollutants, and high-purity quartz sand with tertiary pollutants, respectively. The circled parts in the figure are pollutants, and the pollutant level in the high-purity quartz sand can be determined according to the amount of pollutants. Specifically, the specific proportion of pollutants in high-purity quartz sand with different pollutant levels in the sand sample image can be set according to actual conditions, and the present invention does not limit this.

[0042] The present invention determines the pollutant level of high-purity quartz sand by the ratio of pollutant particles to quartz sand particles in a sand sample image, and detects pollutants in quartz sand more accurately.

[0043] In order to better implement the method for detecting pollutants in high-purity quartz sand in the embodiment of the present invention, based on the method for detecting pollutants in high-purity quartz sand, correspondingly, Figure 7As shown, the embodiment of the present invention further provides a pollutant detection device in high-purity quartz sand, and the pollutant detection device 700 in high-purity quartz sand includes: The image feature extraction module 701 is used to extract features from the acquired sand sample image of the high-purity quartz sand to be detected, and obtain multiple sand sample feature images; The particle identification module 702 is used to perform feature analysis on each sand sample feature image to determine the probability of each pixel point in the sand sample feature image belonging to a category; The pollutant level determination module 703 is used to determine the category to which each pixel point belongs based on the probability of the category to which each pixel point belongs in each sand sample characteristic image, and to determine the pollutant level of the high-purity quartz sand to be detected based on the category to which each pixel point belongs.

[0044] The device 700 for detecting pollutants in high-purity quartz sand provided in the above embodiment can implement the technical solution described in the above embodiment of the method for detecting pollutants in high-purity quartz sand. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the method for detecting pollutants in high-purity quartz sand, which will not be repeated here.

[0045] The pollutant detection device in high-purity quartz sand provided by the present invention obtains a sand sample image of the high-purity quartz sand to be detected, and extracts features from the sand sample image to obtain multiple sand sample feature maps, performs feature analysis on the sand sample feature map, determines the probability of each pixel point in the sand sample feature map to which the category belongs, and determines the category of each pixel point in the sand sample feature map based on the probability, and determines the pollutant level of the high-purity quartz sand to be detected based on the category of each pixel point. The pollutants in the sand sample image can be accurately identified through image recognition technology, and there is no need to chemically treat the high-purity quartz sand to be detected, so the detection of pollutants in the high-purity quartz sand is more convenient and faster.

[0046] like Figure 8 As shown, the present invention also provides an electronic device 800. The electronic device 800 includes a processor 801, a memory 802 and a display 803. Figure 8 Only some components of the electronic device 800 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0047] In some embodiments, the processor 801 may be a central processing unit (CPU), a microprocessor or other data processing chip, and is used to run program codes or process data stored in the memory 802, such as the method for detecting pollutants in high-purity quartz sand in the present invention.

[0048] In some embodiments, the processor 801 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 801 may be local or remote. In some embodiments, the processor 801 may be implemented in a cloud platform. In some embodiments, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0049] In some embodiments, the memory 802 may be an internal storage unit of the electronic device 800, such as a hard disk or memory of the electronic device 800. In other embodiments, the memory 802 may also be an external storage device of the electronic device 800, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the electronic device 800.

[0050] Furthermore, the memory 802 may include both an internal storage unit of the electronic device 800 and an external storage device. The memory 802 is used to store application software installed in the electronic device 800 and various data.

[0051] In some embodiments, the display 803 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 803 is used to display information of the electronic device 800 and to display a visual user interface. The components 801-803 of the electronic device 800 communicate with each other via a system bus.

[0052] In some embodiments, when the processor 801 executes the high-purity quartz sand contaminant detection program in the memory 802, the following steps may be implemented: Performing feature extraction on the acquired sand sample image of the high-purity quartz sand to be tested to obtain multiple sand sample feature images; Performing feature analysis on each sand sample feature image to determine the probability of each pixel point in the sand sample feature image belonging to a category; The category to which each pixel belongs is determined based on the probability of the category to which each pixel belongs in each sand sample characteristic image, and the pollutant level of the high-purity quartz sand to be detected is determined based on the category to which each pixel belongs.

[0053] It should be understood that: when the processor 801 executes the high-purity quartz sand contaminant detection program in the memory 802, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0054] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 800 mentioned, and the electronic device 800 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 800 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0055] Accordingly, an embodiment of the present application also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, the steps or functions of the method for detecting pollutants in high-purity quartz sand provided in the above-mentioned method embodiments can be implemented.

[0056] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0057] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for detecting pollutants in high-purity quartz sand, characterized in that: include: Performing feature extraction on the acquired sand sample image of the high-purity quartz sand to be tested to obtain multiple sand sample feature images; Performing feature analysis on each of the sand sample feature images to determine the probability of each pixel point in the sand sample feature image belonging to a category; The category to which each pixel point belongs is determined based on the probability of the category to which each pixel point in the sand sample characteristic image belongs, and the pollutant level of the high-purity quartz sand to be detected is determined based on the category to which each pixel point belongs.

2. The method for detecting pollutants in high-purity quartz sand according to claim 1, characterized in that: The acquisition of the sand sample image includes: A plurality of sand sample images of a quartz sand oil immersion sheet are taken based on a plurality of different shooting angles, wherein a preset number of high-purity quartz sand particles to be detected are distributed in the quartz sand oil immersion sheet.

3. The method for detecting pollutants in high-purity quartz sand according to claim 1, characterized in that: The feature extraction of the sand sample image is performed to obtain a plurality of sand sample feature images, including: Performing grayscale processing on the sand sample images to obtain a grayscale image of each sand sample image; Determine a target pixel point area belonging to the foreground in the grayscale image based on the pixel value of each pixel point in the grayscale image; The target pixel point area is extracted to obtain a sand sample characteristic image of the sand sample image.

4. The method for detecting pollutants in high-purity quartz sand according to claim 3, characterized in that: The step of determining a target pixel point region belonging to a foreground in the grayscale image based on the pixel value of each pixel point in the grayscale image comprises: Determine the target pixel point belonging to the particle closed area based on the pixel value of each pixel point in the grayscale image; The pixel area corresponding to the target pixel point of each particle closed area is determined as the target pixel point area.

5. The method for detecting pollutants in high-purity quartz sand according to claim 4, characterized in that: The step of performing feature analysis on each of the sand sample feature images to determine the probability of each pixel point in the sand sample feature image belonging to a category includes: Each particle closed area in the target pixel area is identified to determine the probability of the particle category to which each particle closed area belongs.

6. The method for detecting pollutants in high-purity quartz sand according to claim 5, characterized in that: The determining the category to which each pixel point belongs based on the probability of the category to which each pixel point in each of the sand sample characteristic images belongs includes: The particle closed area with the probability greater than the preset probability threshold is determined as quartz sand particles, and the particle closed area with the probability less than or equal to the preset probability threshold is determined as pollutant particles.

7. The method for detecting pollutants in high-purity quartz sand according to claim 6, characterized in that: The step of determining the purity of the high-purity quartz sand to be detected based on the category to which each pixel point belongs includes: The pollutant level of the high-purity quartz sand to be detected is determined based on the number of quartz sand particles and the number of pollutant particles in the sand sample image.

8. A pollutant detection device in high-purity quartz sand, characterized in that: include: An image feature extraction module is used to extract features from the acquired sand sample image of the high-purity quartz sand to be tested, and obtain multiple sand sample feature images; A particle recognition module is used to perform feature analysis on each of the sand sample feature images to determine the probability of each pixel point in the sand sample feature image belonging to a category; The pollutant level determination module is used to determine the category to which each pixel point belongs based on the probability of the category to which each pixel point in the sand sample characteristic image belongs, and to determine the pollutant level of the high-purity quartz sand to be detected based on the category to which each pixel point belongs.

9. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps of the method for detecting pollutants in high-purity quartz sand as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps of the method for detecting pollutants in high-purity quartz sand as described in any one of claims 1 to 7.

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