CN113340780A - Method for detecting content of fluid inclusion in high-purity quartz - Google Patents
Method for detecting content of fluid inclusion in high-purity quartz Download PDFInfo
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Abstract
The invention provides a method for detecting the content of fluid inclusions in high-purity quartz, which comprises the following steps: shooting a bright field background image and a plurality of groups of images to be detected of a sample to be detected by using a microscope; determining the distribution area of the quartz particles through the orthogonal polarization image, and completing the granulation treatment of the quartz; determining the light transmittance of each pixel point in the quartz particles, carrying out probability statistics on the light transmittance to obtain the probability densities of different light transmittances, and obtaining the probability density curve of the fluid inclusion of the single-frame image; and processing a plurality of groups of images to be detected to obtain probability density curves of the fluid inclusion of the multi-frame images, accumulating the probability density curves to obtain accumulated probability densities of different light transmittance ratios, obtaining the probability density accumulation curves of the fluid inclusion of the multi-frame images, and performing integral calculation to obtain the index of the fluid inclusion. The invention achieves the aim of simply and rapidly detecting the content of the fluid inclusion in the high-purity quartz and provides a key index for screening and evaluating the high-purity quartz raw material.
Description
Technical Field
The invention relates to the technical field of fluid inclusion detection, in particular to a method for detecting the content of fluid inclusions in high-purity quartz.
Background
The high-purity quartz sand refers to SiO2The quartz sand with the content of more than 99.9 percent is mainly applied to the high-technology fields of photovoltaics, electric light sources, electronic information, optical communication and the like, is an indispensable key basic material, particularly products such as quartz boats, quartz crucibles and the like made of high-purity quartz sand are one of the necessary raw materials for producing monocrystalline silicon photovoltaic panels and chips (wafers), and has important significance for the development of photovoltaics and IT industries.
The requirement for high-purity quartz sand is not limited to SiO2The content also has strict requirements on the content of fluid inclusions in the high-purity quartz sand. The existing research shows that the existence of the fluid inclusion can cause the increase of bubbles in the high-purity quartz product, and seriously affect the quality and the using effect of the high-purity quartz product, namely a plurality of quartz sand SiO2The grade meets the requirement, but still can not be used for processing high-purity quartz products.
The fluid inclusion is a part of the diagenetic fluid (fluid containing gas and liquid or silicate molten mass) which is wrapped in mineral lattice defects or cavities during the mineral crystal growth process and is sealed in the main mineral and has a phase boundary with the main mineral. The fluid inclusion generally consists of a gas phase and a liquid phase, and a small amount of solid-phase substances are visible in the fluid inclusion, wherein the gas-phase component is mainly H2O,CO2,CH4,N2,H2And S. The liquid phase component is mainly H2O。
The fluid inclusions in the quartz have small particle sizes, generally only a few microns to a few tens of microns, and usually appear as a stripe-shaped black spot under a microscope as shown in fig. 1, mainly because as shown in fig. 2, when light passes through the quartz particles, the fluid inclusions are touched to scatter part of the light, so that the corresponding positions of the micrographs become dark.
Fluid encapsulation in high purity quartzAt present, no unified detection method exists for the body content, and 2 common detection methods exist. The first method is to use fluid inclusion with H as main component2O, and high purity quartz (SiO as the main component)2) In contrast, the content of hydroxyl (-OH) in the sample is determined by methods such as infrared spectroscopy and the like, and the content of the fluid inclusion is indirectly reflected. And 2, crushing the quartz sand to a specific particle size, taking the specific quartz sand, and detecting the particle number of the fluid-containing inclusion.
However, these detection methods have certain problems. In the 1 st type, the infrared spectrometry is used to detect the hydroxyl content in a sample only in a semi-quantitative manner, and quantitative data cannot be obtained. In the method 2 for measuring the number of quartz particles containing fluid inclusions, it is difficult to distinguish the distribution density of the fluid inclusions in the quartz particles, for example, the distribution density of the fluid inclusions in the quartz particles A and B in FIG. 3 is very different, but the weight of the result influence in the method is the same.
Disclosure of Invention
The invention provides a method for detecting the content of fluid inclusions in high-purity quartz, which reflects the content of the fluid inclusions in the quartz by detecting the brightness change of quartz particles in a micrograph, thereby achieving the purpose of simply and rapidly detecting the content of the fluid inclusions in the high-purity quartz and providing key indexes for screening and evaluating high-purity quartz raw materials.
The technical scheme of the invention is realized as follows: a method for detecting the content of fluid inclusions in high-purity quartz comprises the following steps:
(1) shooting a bright field background image and a plurality of groups of images to be detected of a sample to be detected by using a microscope, wherein each group of images to be detected comprises a bright field object image and an orthogonal polarized light image;
(2) determining the distribution area of the quartz particles through the orthogonal polarization image, and completing the granulation treatment of the quartz;
(3) determining the light transmittance of each pixel point in the quartz particles through the bright field object image and the bright field background image, carrying out probability statistics on the light transmittance to obtain the probability densities of different light transmittances, and obtaining the probability density curve of the fluid inclusion of the single-frame image;
(4) processing the multiple groups of images to be detected in the step (1) by adopting the steps (2) and (3) to obtain a probability density curve of a fluid inclusion of the multiple frames of images, and then accumulating the probability density curves of the multiple frames of images to obtain accumulated probability densities of different light transmittance ratios to obtain a probability density accumulation curve of the fluid inclusion of the multiple frames of images;
(5) and (4) carrying out integral calculation on the multi-frame image fluid inclusion probability density cumulative curve in the step (4) to obtain a fluid inclusion index.
Further, in the step (3), the gray information of each pixel point in the quartz particle object is identified by traversing the bright field object image, then the gray information of the same position in the bright field background image is subtracted, and the light transmittance of each pixel point in the quartz particle object is obtained according to the difference value of the gray information in the two images.
Further, in the step (4), model fitting is performed on the cumulative probability density curve to obtain a smooth curve of the cumulative probability density, and the fitting model is as follows:
and further, an actually measured dispersion curve is obtained before model fitting is carried out on the cumulative probability density curve, a smooth curve is obtained after model fitting, integral calculation is carried out on the smooth curve in the step (5) to obtain model integral, integral calculation is carried out on the actually measured dispersion curve to obtain discrete numerical value integral, wherein the actually measured dispersion curve integral calculation result is taken as the main point, and the discrete numerical value integral is the fluid inclusion index.
Further, in the step (2), the granulation treatment of the quartz comprises the following steps:
1) and (3) brightness adjustment: mapping RGB- > CMYK color space of the orthogonal polarized light image, and increasing the brightness contrast;
2) three-channel filtering: optimizing R, G and B three-color narrow-channel filtering parameters of the enhanced orthogonal polarization image obtained in the step 1), and keeping the shape profile of the quartz particles to the maximum;
3) edge enhancement: performing edge enhancement on the orthogonal polarization image processed in the step 2), and enhancing the edge and internal texture information of the quartz object;
4) object recognition and filtering: carrying out object target identification on the quartz particles in the image generated in the step 3) by an object identification algorithm, and carrying out noise filtration and object filling by using two parameters, namely an area threshold and a filling factor;
5) boundary convergence: and (4) carrying out conformal edge etching on the object identified in the step 4) by comparing and combining the original orthogonal polarization image, so as to ensure the geometric accuracy of the identified object.
Further, in the step (3), the light transmittance of each pixel point in the quartz particles is determined by taking the identification object obtained in the step 5) as a calculation domain.
Further, in the step (1), the preparation method of the sample to be detected is as follows:
A. crushing a quartz sample to be less than 0.3mm, uniformly mixing, screening quartz particles of 0.1-0.3mm, selecting 1-3 g of quartz monominerals from the quartz particles of 0.1-0.3mm under a microscope, and uniformly mixing;
B. and C, preparing the quartz single mineral uniformly mixed in the step A into a sand slice, wherein the thickness of the sand slice is 0.09-0.11mm, and the sand slice is a sample to be detected.
Further, in the step (1), the bright field background image is captured by the following method: putting the prepared sample to be detected into a polarizing microscope with a camera, adjusting and fixing incident light intensity, amplification factor and shooting parameters of the camera, selecting an area without quartz particles in the sample to be detected, adjusting a light path of the microscope to be in a bright field mode, and shooting a bright field background image photo.
Further, in the step (1), the shooting method of the multiple groups of images to be detected is as follows: selecting an area with uniformly distributed quartz particles in a sample to be detected, adjusting a microscope to be an orthogonal polarized light path, adjusting the direction of the sample to be detected to ensure that the brightness of each quartz particle in a visual field is different from that of a background, and shooting an orthogonal polarized light image for recording the positions of the quartz particles; the method comprises the steps of adjusting a light path of a microscope to be in a bright field mode without changing the direction and the position of a sample to be detected, shooting a bright field object image for recording the transparency of quartz particles, adjusting the position and the direction of the sample to be detected, and shooting a plurality of groups of non-overlapping images to be detected.
Further, in the step (3), the quartz particles are colored according to the light transmittance of each pixel point in the quartz particles, so that 512-order pseudo-color density images of the fluid inclusion are obtained.
The invention has the beneficial effects that:
the invention uses the principle that the visible light transmittance of the quartz is reduced due to the scattering effect of the parallel visible light when the parallel visible light passes through the quartz particles with the fluid inclusion, and reflects the content of the fluid inclusion in the quartz by detecting the brightness change of the quartz particles in the photomicrograph, thereby achieving the purpose of simply and rapidly detecting the content of the fluid inclusion in the high-purity quartz and providing a key index for screening and evaluating high-purity quartz raw materials.
The main reason for the reduced visible light transmittance of quartz is shown in fig. 2, when parallel light passes through the quartz particles containing the fluid inclusions, the fluid inclusions scatter part of the visible light, so that the light at the projected position of the receiver becomes dark. The more fluid inclusions a light ray passes through, the darker its intensity will be. Therefore, the content of the fluid inclusions in the quartz can be indirectly reflected by quantitatively detecting the change characteristics of the brightness in the quartz particles in the micrograph.
The method comprises the steps of detecting the light transmittance of each pixel point in quartz particles to obtain a probability density curve and an accumulated probability density curve of the light transmittance of an image, and performing integral calculation on the transparency of the accumulated probability density curve to obtain a numerical value, namely the fluid inclusion index. The integral value is 1 when the sample is opaque and 0 when the sample does not contain inclusions. Analyzing the cumulative probability density curve integration process shows that the lower the transmittance, the greater the contribution to the cumulative probability density curve integral value, which is consistent with the fluid inclusion content in the reaction, so the fluid inclusion content in the quartz sample can be expressed numerically by using the transmittance cumulative probability density curve integral value. The method of the invention detects the true value of the fluid inclusion content in the quartz, but can reflect the fluid inclusion content in the quartz, and the method is defined as the index of the high-purity quartz fluid inclusion.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a photograph of a fluid enclosure under an optical microscope;
FIG. 2 is a schematic illustration of the scattering of visible light by fluid inclusions in quartz;
FIG. 3 is a photomicrograph of fluid inclusions in quartz;
FIG. 4 shows an embodiment of a non-uniform distribution of fluid inclusions in quartz;
FIG. 5 is a bright field background image;
FIG. 6 is an orthogonal polarization image of quartz particles;
FIG. 7 is a quartz particle bright field object image;
FIG. 8 is a graph of transparency probability density for a single frame image;
FIG. 9 is a graph of cumulative probability density for transparency of a single frame image;
FIG. 10 is a 512-step pseudo color density image of a fluid volume;
FIG. 11 is a diagram of a probability density distribution (actually measured dispersion curve) of the transparency of a multi-frame image by pixel superposition;
fig. 12 is a multi-frame image transparency-superimposed probability density cumulative curve (smooth curve);
FIG. 13 is a bright field object image photomicrograph of 6 samples;
FIG. 14 is a cumulative probability density curve (smooth curve) for 6 fluid inclusions;
FIG. 15 is a diagram illustrating 0/1 assignment transformation.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
A method for detecting the content of fluid inclusions in high-purity quartz comprises the following steps:
(1) shooting a bright field background image and a plurality of groups of images to be detected of a sample to be detected by using a microscope, wherein each group of images to be detected comprises a bright field object image and an orthogonal polarized light image;
(2) determining the distribution area of the quartz particles through the orthogonal polarization image, and completing the granulation treatment of the quartz;
(3) determining the light transmittance of each pixel point in the quartz particles through the bright field object image and the bright field background image, carrying out probability statistics on the light transmittance to obtain the probability densities of different light transmittances, and obtaining the probability density curve of the fluid inclusion of the single-frame image;
(4) processing the multiple groups of images to be detected in the step (1) by adopting the steps (2) and (3) to obtain a probability density curve of a fluid inclusion of the multi-frame images, and then accumulating and superposing the probability density curves of the multi-frame images to obtain the accumulated densities of different light transmittance ratios to obtain an accumulated probability density curve;
(5) and (4) carrying out integral calculation on the cumulative probability density curve in the step (4) to obtain a fluid inclusion index, and carrying out integral calculation on a coordinate by the integral calculation.
Example one
As shown in fig. 4, the distribution of the fluid inclusions in the quartz is very uneven, and is generally in the form of a band, and the volume content of the fluid inclusions at different positions varies greatly. In order to detect the fluid inclusion content of quartz in a sample, quartz in ore needs to be crushed and then mixed uniformly. In the step (1), the preparation method of the sample to be detected comprises the following steps:
A. crushing a quartz sample to be less than 0.3mm, uniformly mixing, screening quartz particles of 0.1-0.3mm, selecting 1-3 g of quartz monominerals from the quartz particles of 0.1-0.3mm under a microscope, and uniformly mixing;
B. according to the geological mineral industry standard of the people's republic of China, part 2 of the rock and mineral identification technical specification: according to the method for preparing the sand sample slice specified in standards such as rock slice sample DZ/T0275.2-2015 and the like, the quartz single mineral mixed uniformly in the step A is prepared into the sand slice, the thickness of the sand slice is 0.09-0.11mm for effectively observing a fluid inclusion in high-purity quartz, and the sand slice is a sample to be detected.
Because the light intensity at different positions in the vision field of the polarizing microscope is not completely uniform, and the light path systems of the polarizing microscopes in different models are different, in order to ensure the consistency of detection results, bright field background images are shot before each batch of samples are detected and are used as a background deduction standard for quartz transparency detection. In the step (1), the bright field background image shooting method comprises the following steps: putting the prepared sample to be detected into a polarizing microscope with a camera, adjusting and fixing the incident light intensity, the amplification factor and the shooting parameters of the camera, selecting an area without quartz particles in the sample to be detected, adjusting the light path of the microscope to be in a bright field mode, and shooting a bright field background image photo for later use as shown in figure 5.
In the step (1), the shooting method of a plurality of groups of images to be detected is as follows: selecting an area with uniformly distributed quartz particles in a sample to be detected, adjusting a microscope to be an orthogonal polarized light path, adjusting the direction of the sample to be detected to ensure that the brightness of each quartz particle in a visual field is different from that of a background, shooting an orthogonal polarized light image for recording the position of the quartz particle, wherein the quartz particles are crystalloid, have specific interference color under orthogonal polarized light and are bright in color as shown in figure 6; the background of epoxy resin and the like is amorphous, and the epoxy resin and the like are fully dull under orthogonal polarized light and appear dark, and the difference between the epoxy resin and the dark is large, so that the positions of quartz particles can be highlighted;
the method comprises the steps of adjusting the light path of a microscope to be in a bright field mode without changing the direction and the position of a sample to be detected, shooting a bright field object image, as shown in figure 7, for recording the transparency of quartz particles, adjusting the position and the orientation of the sample to be detected, repeating the steps, shooting a plurality of groups of non-overlapping images to be detected, and shooting at least 5 groups of non-overlapping photos of each sample.
In the step (2), the granulation treatment of the quartz comprises the following steps:
1) and (3) brightness adjustment: mapping RGB- > CMYK color space of the orthogonal polarized light image, and increasing the brightness contrast;
2) three-channel filtering: determining the narrow-channel filtering parameter range of R, G and B colors of the enhanced orthogonal polarization image in the step 1), and then determining parameter values through manual fine adjustment to reserve the shape profile of the quartz particles to the maximum extent;
the orthogonal polarization image used in the invention is a digital image generated by locking the values of light source brightness, polarization imaging, color, brightness and gamma value parameters under an optical microscope, and the digital image can highlight the shape outline of the quartz particle with a certain specific tone (namely, a so-called statistical calculation domain). The image features reflecting the quartz contour are distributed in narrow bands in R, G and B three-color components in the whole image, and the shape contour of the quartz particle can be retained to the maximum extent through calculation and manual fine adjustment of the upper and lower boundaries of the histograms of R, G and B three-color channels, so that a foundation is laid for the statistical calculation of different pixel gray levels in a calculation domain;
3) edge enhancement: performing edge enhancement on the orthogonal polarization image processed in the step 2), and enhancing the edge and internal texture information of the quartz object;
4) object recognition and filtering: carrying out object target identification on the quartz particles in the image generated in the step 3) by an object identification algorithm, and carrying out noise filtration and object filling by using two parameters, namely an area threshold and a filling factor;
as shown in fig. 15, the identified object is converted into an adjacent region in a black-and-white binary image by assigning 0/1 values. The number of particles of each image can be obtained by identifying and labeling the object, each particle comprises coordinates (i, j) of a pixel point, and the obtained number of particles and pixel coordinates are mainly used for subsequent particle size analysis;
5) boundary convergence: and (4) carrying out conformal edge etching on the object identified in the step 4) by comparing and combining the original orthogonal polarization image, so as to ensure the geometric accuracy of the identified object.
In the step (3), the identification object obtained in the step 5) is used as a calculation domain, gray information of each pixel point in the quartz particle object is identified through traversal on a bright field object image, so that distribution information of 0-255 gray scale levels can be obtained, then gray information of the same position in a bright field background image is subtracted, light transmittance of each pixel point in the quartz particle object is obtained according to a difference value of the gray information in the two images, probability statistics is carried out on the light transmittance, probability densities of different light transmittances are obtained, a probability density curve of a fluid inclusion of a single frame image is obtained, then the light transmittance of the probability density curve of the single frame image is accumulated and superposed, the accumulated densities of the different light transmittances are obtained, and an accumulated probability density curve is obtained; the quartz particles are colored according to the light transmittance of each pixel point in the quartz particles to obtain 512-order pseudo color density images of the fluid inclusion, as shown in fig. 8-10.
(4) Processing the multiple groups of images to be detected in the step (1) by adopting the steps (2) and (3) to obtain the sample space number of multi-frame image analysis data, obtain a probability density curve of a fluid inclusion of the multi-frame image, then performing cumulative superposition on light transmittance of the probability density curve of the multi-frame image to obtain cumulative densities of different light transmittance, and obtaining an actually measured discrete curve of the cumulative probability density, wherein the actually measured discrete curve is shown in fig. 11; model fitting is performed on the cumulative probability density curve to obtain a smooth curve of the cumulative probability density, as shown in fig. 12, the fitting model is shown in the following table:
wherein,
the model is tested for many times, and the curve simulated by the equation is found to be the best fit with the actually measured discrete curve.
(5) And (4) performing integral calculation on the actually measured discrete curve in the step (4) to obtain a discrete numerical integral, and performing integral calculation on the smooth curve to obtain a model integral, wherein the discrete numerical integral is the fluid inclusion index as shown in the following table.
Another 6 samples were taken and the detection method of the first embodiment was used, and the detection results were as follows:
the results of the fluid inclusion index analysis of 6 quartz samples (see fig. 13) having different fluid inclusion contents are shown in table 1 and fig. 14. Wherein the sample a can be used for processing a high-purity quartz crucible, and the sample b can be used for processing a quartz tube. From the analysis results, the samples a and b have low fluid inclusion content and mainly comprise low-density fluid inclusion quartz particles, and other samples have high fluid inclusion content and contain a certain amount of high-density fluid inclusion quartz particles. Therefore, the detection method can effectively reflect the content of the fluid inclusion in the high-purity quartz (namely, discrete numerical integration), and can provide key indexes for screening and evaluating high-purity quartz raw materials.
Table 16 sample fluid inclusion content index test results
| Sample number | a sample | b sample | c sample | d sample | e sample | f sample |
| Fluid inclusion content index | 0.105 | 0.158 | 0.194 | 0.290 | 0.259 | 0.434 |
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A method for detecting the content of fluid inclusions in high-purity quartz is characterized by comprising the following steps:
(1) shooting a bright field background image and a plurality of groups of images to be detected of a sample to be detected by using a microscope, wherein each group of images to be detected comprises a bright field object image and an orthogonal polarized light image;
(2) determining the distribution area of the quartz particles through the orthogonal polarization image, and completing the granulation treatment of the quartz;
(3) determining the light transmittance of each pixel point in the quartz particles through the bright field object image and the bright field background image, carrying out probability statistics on the light transmittance to obtain the probability densities of different light transmittances, and obtaining the probability density curve of the fluid inclusion of the single-frame image;
(4) processing the multiple groups of images to be detected in the step (1) by adopting the steps (2) and (3) to obtain a probability density curve of a multi-frame image fluid inclusion, accumulating the multi-frame image probability density curve to obtain accumulated probability densities of different light transmittance ratios, and obtaining a multi-frame image fluid inclusion probability density accumulated curve;
(5) and (4) carrying out integral calculation on the multi-frame image fluid inclusion probability density cumulative curve in the step (4) to obtain a fluid inclusion index.
2. The method for detecting the content of the fluid inclusions in the high-purity quartz according to claim 1, wherein in the step (3), gray information of each pixel point in the quartz particle object is identified through traversal on the bright field object image, then the gray information of the same position in the bright field background image is subtracted, and the light transmittance of each pixel point in the quartz particle object is obtained according to the difference value of the gray information in the two images.
3. The method for detecting the fluid inclusion content in the high-purity quartz according to claim 1, wherein the step (2) of granulating the quartz comprises the following steps:
1) and (3) brightness adjustment: mapping RGB- > CMYK color space of the orthogonal polarized light image, and increasing brightness and contrast;
2) three-channel filtering: optimizing R, G and B three-color narrow-channel filtering parameters of the enhanced orthogonal polarization image obtained in the step 1), and keeping the shape profile of the quartz particles to the maximum;
3) edge enhancement: performing edge enhancement on the orthogonal polarization image processed in the step 2), and enhancing the edge and internal texture information of the quartz object;
4) object recognition and filtering: carrying out object target identification on the quartz particles in the image generated in the step 3) by an object identification algorithm, and carrying out noise filtration and object filling by using two parameters, namely an area threshold and a filling factor;
5) boundary convergence: and (4) carrying out conformal edge etching on the object identified in the step 4) by comparing and combining the original orthogonal polarization image, so as to ensure the geometric accuracy of the identified object.
4. The method for detecting the content of the fluid inclusions in the high-purity quartz according to claim 3, wherein in the step (3), the light transmittance of each pixel point in the quartz particles is determined by taking the identification object obtained in the step 5) as a calculation domain.
5. The method for detecting the fluid inclusion content in the high-purity quartz according to claim 1, wherein in the step (1), the sample to be detected is prepared by the following method:
A. crushing a quartz sample to be less than 0.3mm, uniformly mixing, screening quartz particles of 0.1-0.3mm, selecting 1-3 g of quartz monominerals from the quartz particles of 0.1-0.3mm under a microscope, and uniformly mixing;
B. and C, preparing the quartz single mineral uniformly mixed in the step A into a sand slice, wherein the thickness of the sand slice is 0.09-0.11mm, and the sand slice is a sample to be detected.
6. The method for detecting the content of the fluid inclusions in the high-purity quartz according to claim 1, wherein in the step (1), the bright field background image is captured as follows: putting the prepared sample to be detected into a polarizing microscope with a camera, adjusting and fixing incident light intensity, amplification factor and shooting parameters of the camera, selecting an area without quartz particles in the sample to be detected, adjusting a light path of the microscope to be in a bright field mode, and shooting a bright field background image photo.
7. The method for detecting the fluid inclusion content in the high-purity quartz according to claim 1, 5 or 6, wherein in the step (1), a plurality of groups of images to be detected are captured by the following method: selecting an area with uniformly distributed quartz particles in a sample to be detected, adjusting a microscope to be an orthogonal polarized light path, adjusting the direction of the sample to be detected to ensure that the brightness of each quartz particle in a visual field is different from that of a background, and shooting an orthogonal polarized light image for recording the positions of the quartz particles; the method comprises the steps of adjusting a light path of a microscope to be in a bright field mode without changing the direction and the position of a sample to be detected, shooting a bright field object image for recording the transparency of quartz particles, adjusting the position and the direction of the sample to be detected, and shooting a plurality of groups of non-overlapping images to be detected.
8. The method for detecting the content of the fluid inclusions in the high-purity quartz according to claim 1, 5 or 6, wherein in the step (3), the quartz particles are colored according to the light transmittance of each pixel point in the quartz particles, so as to obtain a 512-step pseudo-color density image of the fluid inclusions.
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| CN118270795B (en) * | 2024-05-30 | 2024-09-03 | 陕西合兴硅砂有限公司 | Preparation process of high-purity quartz sand based on acid leaching method |
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