Method and system for automatically identifying cathodic luminescence colors of different minerals in rock
通过在真空环境下使用电子束轰击岩石薄片,并结合阴极发光显微镜和偏光显微镜,建立基础模型,确定不同光波波长对应的荧光颜色区域,解决了现有技术中难以准确区分岩石薄片上不同矿物阴极 The problem of luminous color achieves accurate and automatic identification of the cathode luminous colors of different minerals of rocks.
Patent Information
- Application Number
- CN202411492038.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-24
- Publication Date
- 2025-02-18
AI Technical Summary
The prior art is difficult to accurately distinguish the cathode luminescence color of different minerals on rock sheets, especially with deviations in the faint color changes.
通过在真空环境下使用电子束轰击岩石薄片,并结合阴极发光显微镜和偏光显微镜,采集多个荧光图像,建立基于坐标系的基础模型,通过滤光片和偏光片的使用,确定不同光波波长对应的荧光颜色区域,并进行重叠显示以实现自动识别。
The accurate and automatic identification of the cathode luminescent colors of different minerals of rocks is achieved, reducing the difficulty of observing composite colors by the human eye and improving the ability to distinguish weak color changes.
Smart Images
Figure CN119470393A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of rock and mineral identification, and specifically relates to a method and a system for automatically identifying the cathode luminescence colors of different minerals in rocks. Background Art
[0002] Cathodoluminescence is a technique that generates visible light when an electron beam bombards a sample. Different minerals produce different cathodoluminescence due to the presence of different activator elements. Therefore, cathodoluminescence can be widely used in the identification of rocks and minerals and the study of diagenesis.
[0003] At present, cathodoluminescence technology is mainly composed of three parts: an electron beam generator system, a vacuum system and a recording system (including a microscope and photographic recording). Color photography is used to record and compare the fluorescence characteristics of rock slices to identify different minerals in the rocks.
[0004] Since the luminescent colors of minerals are very complex, it is too difficult for the human eye to distinguish the composite colors through observation under a microscope. Therefore, color-based machine vision recognition methods are often used to distinguish the composite colors. However, color-based machine vision recognition methods generally use pixel averaging or global pixel histogram statistics, which usually have certain deviations for slight changes in color. Slight changes in color represent different minerals. Therefore, it is particularly important to distinguish different fluorescent colors on rock slices. Summary of the invention
[0005] The purpose of the present invention is to provide a method and system for automatically identifying the cathode luminescence colors of different minerals in rocks, which can automatically identify the cathode luminescence colors of different minerals in rocks by distinguishing fluorescent colors based on slight color changes.
[0006] In order to achieve the above object, the technical solution of the present invention is as follows:
[0007] A method for automatically identifying the cathode luminescence colors of different minerals in rocks comprises the following steps: Step 1, making a rock sample into a rock slice sample of a predetermined thickness, and polishing the rock slice sample;
[0008] Step 2: In a vacuum environment, the rock thin section sample is bombarded with an electron beam, and the first image is collected through a cathode luminescence microscope to obtain a first fluorescent image, a coordinate system is established based on the first fluorescent image, and a recognizable fluorescent color area is obtained, and a basic model is established based on the distribution of the fluorescent color area on the first fluorescent image on the coordinate system;
[0009] Step 3: using different filters in a cathode luminescence microscope to obtain corresponding different second fluorescent images, obtaining brightness change A corresponding to different fluorescent color areas based on the first fluorescent image, and obtaining brightness change B of different fluorescent color areas in the second fluorescent image, outputting brightness change values corresponding to different fluorescent color areas based on brightness change A and brightness change B, determining different light wavelengths corresponding to the fluorescent color areas based on the brightness change values, and marking the different light wavelengths in the basic model;
[0010] Step 4: Determine the brightness reference value corresponding to each light wavelength according to historical data, compare the brightness change value in step 3 with the brightness reference value in turn, obtain the difference between each brightness change value and the brightness reference value, and obtain the fluorescent color area corresponding to the brightness reference value whose difference is less than the threshold;
[0011] Then, a polarizing microscope is used to obtain a third fluorescent image under the conversion of single polarization and orthogonal polarization, and the fluorescent color mark corresponding to the fluorescent color area is determined based on the cathode luminescence characteristics corresponding to different minerals, and the fluorescent color mark is added to the basic model;
[0012] Based on the overlapping display of the light wavelength mark and the fluorescent color mark corresponding to each fluorescent color area in the basic model, the output image display is performed.
[0013] The following beneficial effects are achieved by adopting the above scheme:
[0014] By establishing a basic model based on the coordinate system, it is convenient to compare the brightness changes based on the same fluorescent color area in the future, and it is also convenient for subsequent staff to secondary distinguish the fluorescent color of the fluorescent color area with slight color changes through a polarizing microscope. It is also convenient for subsequent staff to search or observe a single area according to the fluorescent color area division and confirm the mineral type corresponding to each area.
[0015] Based on the filtering of the filter, the second fluorescent images corresponding to different light wavelengths are obtained. The brightness changes of different fluorescent color areas in different second fluorescent images are different. Then, based on the brightness change value, it is determined that the fluorescent color area corresponds to different light wavelengths, so that the obtained light wavelength marking is more accurate.
[0016] Since the polarizer can selectively transmit or block polarized light in a specific direction, it can reduce reflection and glare and improve visual clarity, making the cathode luminescence characteristics in the third fluorescent image more obvious, and facilitating the distinction of the fluorescent colors of the fluorescent color areas corresponding to the brightness reference values whose difference is less than the threshold, thereby achieving the distinction of slight color changes, and automatically identifying the cathode luminescence colors of different minerals in the rock.
[0017] Furthermore, in step one, during the process of preparing the rock thin section sample, a non-luminous adhesive is used to fix the rock sample.
[0018] Beneficial effect: Because the luminescent color of minerals is very complex, in order to correctly judge the luminescent color, in addition to the minerals, the interference of other luminescent substances in the rock slices must be eliminated, and non-luminescent adhesive must be used for bonding so that the luminescent colors seen are all the luminescent colors of the minerals.
[0019] Furthermore, in step one, during the process of preparing the rock thin section sample, gold foil is also used to wrap the outer edge of the rock thin section sample.
[0020] Beneficial effect: The good thermal conductivity of the gold foil facilitates the dissipation of the heat accumulated under electron bombardment, thereby preventing the heat from affecting the detection of the rock slice sample during the cathode luminescence detection process.
[0021] Furthermore, in step 2 to step 4, the lenses of the cathode luminescence microscope and the polarizing microscope are in the same position.
[0022] Beneficial effect: It is convenient to compare the first fluorescent image, the second fluorescent image and the third fluorescent image in the same fluorescent color area.
[0023] Furthermore, in step three, different light wavelength marks based on the same fluorescent color area are displayed in an overlapping manner.
[0024] Beneficial effect: Due to the complexity of the luminescent colors of minerals, different fluorescences in the same fluorescent color area include a variety of different light wavelengths. By switching filters, it is convenient to observe different fluorescences in the same fluorescent color area, thereby determining different light wavelength marks in the same fluorescent color area, which is convenient for staff to determine the minerals contained in the fluorescent color area based on the overlapping display.
[0025] Further, in step 4, the brightness reference value is determined by the average value of the brightness change corresponding to the identifiable fluorescent color area and the brightness reference value of the rock thin section sample in the historical data.
[0026] Beneficial effect: The brightness reference value is determined by the average brightness change corresponding to the identifiable fluorescent color area and the brightness reference value of the rock thin section sample in the historical data, so that the brightness reference value has a reference value, which is convenient for finding the area with small fluorescent color change and using a polarizing microscope for secondary confirmation.
[0027] Furthermore, in step 1, blank points for marking coordinate systems are provided around the rock thin section sample.
[0028] Beneficial effect: The blank points provide reference positions for establishing a coordinate system, making it easier to divide the fluorescent color areas.
[0029] Further, a system for automatically identifying the cathode luminescence colors of different rock minerals, according to the above-mentioned method for automatically identifying the cathode luminescence colors of different rock minerals, comprises an electron beam generating module, a processing module and an image acquisition module;
[0030] The electron beam generating module is used to emit electron beams to bombard rock slice samples;
[0031] The image acquisition module is used to acquire and store a first fluorescent image, a second fluorescent image and a third fluorescent image of the rock thin section sample, and send the first fluorescent image, the second fluorescent image and the third fluorescent image to the processing module;
[0032] The processing module is used to input and store historical data, obtain identifiable fluorescent color areas based on the first fluorescent image coordinate system, and establish a basic model based on the distribution of the fluorescent color areas on the first fluorescent image on the coordinate system;
[0033] The processing module then obtains the brightness change A corresponding to the different fluorescent color areas based on the first fluorescent image based on the different second fluorescent images obtained by switching the filter, and obtains the brightness change B of the different fluorescent color areas in the second fluorescent image, outputs the brightness change values corresponding to the different fluorescent color areas based on the brightness change A and the brightness change B, determines that the fluorescent color areas correspond to different light wavelengths based on the brightness change values, and marks the different light wavelengths into the basic model;
[0034] The processing module determines the brightness reference value corresponding to each light wavelength according to the historical data, and then compares the brightness change value with the brightness reference value in turn, obtains the difference between each brightness change value and the brightness reference value, and obtains the fluorescent color area corresponding to the brightness reference value whose difference is less than the threshold value;
[0035] Determine the fluorescent color mark corresponding to the fluorescent color area in the third fluorescent image based on the cathode luminescence characteristics corresponding to different minerals, and add the fluorescent color mark to the basic model;
[0036] The processing module then overlaps and displays the light wavelength mark and the fluorescent color mark corresponding to each fluorescent color area in the basic model, and outputs the image display.
[0037] Beneficial effects: By controlling the operation of the electron beam generating module, basic laser conditions are provided for obtaining fluorescent images; the first fluorescent image, the second fluorescent image and the third fluorescent image are acquired through the image acquisition module, providing basic data references for comparison of subsequent processing modules, and then the processing module provides the basic hardware foundation for realizing the above method. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] Figure 1Schematic diagram of cathode luminescence thin section of gray fine-medium grained sandstone in an embodiment of the present invention.
[0039] Figure 2 Schematic diagram of cathode luminescence thin section of gravel-containing unequal-grained quartz sandstone in an embodiment of the present invention.
[0040] Figure 3 This is a schematic diagram of a rock thin section sample photograph of gravel-containing unequal-grained quartz sandstone in an embodiment of the present invention.
[0041] Figure 4 Schematic diagram of a rock thin section sample photograph of gray fine-medium grained sandstone in an embodiment of the present invention. DETAILED DESCRIPTION
[0042] The following is further described in detail through specific implementation methods:
[0043] The reference numerals in the drawings of the specification include: quartz 1, quartz calcite 11, calcite 2, kaolinite 3, and blank point 4.
[0044] Example 1
[0045] The embodiment is basically as shown in the attached Figures 1 to 4 As shown: A method for automatically identifying the cathode luminescence colors of different minerals in rocks, comprising the following steps: Step 1, making the rock sample into a rock thin slice sample with a predetermined thickness (0.04-0.06mm), and polishing the rock thin slice sample to improve the luminescence intensity of the minerals in the rock, and blank points for marking the coordinate system are set around the rock thin slice sample;
[0046] In low speed continuous shooting mode, Figure 3 or Figure 4 Photographs of rock thin-section samples, Figure 3 It is gravelly unequal-grained quartz sandstone. Figure 4 It is a fine- to medium-grained sandstone containing lime. Figure 3 The corresponding cathode luminescence image is as follows Figure 2 As shown, Figure 4 The corresponding cathode luminescence image is as follows Figure 1 As shown;
[0047] Step 2: In a vacuum environment, the rock thin section sample is bombarded with an electron beam, and the first image is collected through a cathode luminescence microscope to obtain a first fluorescent image. A coordinate system is established based on blank points around the first fluorescent image, and a recognizable fluorescent color area is obtained. The basic model is established based on the distribution of the fluorescent color area on the first fluorescent image on the coordinate system;
[0048] The basic model makes it easy to compare brightness changes based on the same fluorescent color area, and to use a polarizing microscope to differentiate the fluorescent color of fluorescent color areas with slight color changes. It also makes it easy for subsequent staff to search or observe a single area based on the fluorescent color area division to confirm the mineral type corresponding to each area.
[0049] The steps of identifying the brightness change of the same fluorescent color area in the first fluorescent image are as follows: extracting image features based on the same fluorescent color area, calculating the global mean and global contrast, and performing secondary differentiation of fluorescent colors by using the different changes in brightness and darkness of each color in the image;
[0050] First, calculate p(r) in the interval (0, L-1) i ) to determine the gray level r in the image i The estimated probability of occurrence is calculated as follows:
[0051] Among them, n i is the gray level r i Number of occurrences.
[0052] E G Represents the grayscale average of the image, that is, the global mean is:
[0053]
[0054] U G The standard difference of the image, that is, the global contrast, is expressed as:
[0055] U G =∑(r i -E G ) 2 p(r i ),
[0056] Among them, the global mean describes the brightness of the image, the global contrast represents the contrast of the image, and the enhancement of the fluorescent color area is mainly to enhance the detail adjustment of light and dark.
[0057] This is achieved by comparing the grayscale average of the range centered on point (i, j) with the global mean to determine whether a point (i, j) in the image is bright or dark.
[0058] The grayscale average of the M*N range centered at a point (i, j), that is, the local mean, is:
[0059]
[0060] Among them, r i,j The gray value at the center of the range (i, j), p(r i,j ) represents the gray value r i,jThe estimated probability of appearing in the range, S M is the standard cone difference of the range, and the local contrast is:
[0061]
[0062] Select the relatively bright and dark range with slight color changes, keep the bright parts unchanged, and enhance the dark parts to enhance the light and dark levels of the image.
[0063] Step 3: using different filters in a cathode luminescence microscope to obtain corresponding different second fluorescent images, obtaining brightness change amounts A corresponding to different fluorescent color areas based on the first fluorescent image, and obtaining brightness change amounts B of different fluorescent color areas in the second fluorescent image, outputting brightness change values corresponding to different fluorescent color areas based on the brightness change amounts A and the brightness change amounts B, determining that the fluorescent color areas correspond to different light wavelengths based on the brightness change values, marking the different light wavelengths in the basic model, and overlapping and displaying different light wavelength marks based on the same fluorescent color area;
[0064] Based on the filtering of the filter, the second fluorescent images corresponding to different light wavelengths are obtained. The brightness changes of different fluorescent color areas in different second fluorescent images are different. Then, based on the brightness change value, it is determined that the fluorescent color area corresponds to different light wavelengths, so that the obtained light wavelength marking is more accurate.
[0065] Step 4: Determine the brightness reference value corresponding to each light wavelength according to historical data, compare the brightness change value in step 3 with the brightness reference value in turn, obtain the difference between each brightness change value and the brightness reference value, and obtain the fluorescent color area corresponding to the brightness reference value whose difference is less than the threshold;
[0066] Then, a polarizing microscope is used to obtain a third fluorescent image under the conversion of single polarization and orthogonal polarization, and the fluorescent color mark corresponding to the fluorescent color area is determined based on the cathode luminescence characteristics corresponding to different minerals, and the fluorescent color mark is added to the basic model;
[0067] Since the polarizer can selectively transmit or block polarized light in a specific direction, it can reduce reflection and glare and improve visual clarity, making the cathode luminescence characteristics in the third fluorescent image more obvious, and facilitating the distinction of the fluorescent colors of the fluorescent color areas corresponding to the brightness reference values whose difference is less than the threshold, thereby achieving the distinction of slight color changes, and automatically identifying the cathode luminescence colors of different minerals in the rock.
[0068] Based on the overlapping display of the light wavelength mark and the fluorescent color mark corresponding to each fluorescent color area in the basic model, the output image display is performed.
[0069] This embodiment uses Figure 1 and Figure 2 As a reference, Figure 1 The cathode luminescence image of fine-medium grained sandstone containing ash is shown. The rock has a fine-medium grained sand structure, and the cement is mainly calcite 2 and mud. Calcite 2 has a fine crystalline structure filling the intergranular space, and quartz gravel 11 with growth lines is occasionally seen. Quartz 1 mainly emits blue, blue-purple, and brown-red light, clay mineral kaolinite 3 emits indigo light, calcite 2 emits orange-red and orange-yellow light, and mud does not emit light.
[0070] like Figure 2 The cathode luminescence image of gravel-bearing quartz sandstone 1 is shown. The rock has an unequally granular sand structure, with gravels visible in some parts, and the filling material is mainly mud. Quartz 1 mainly emits blue, blue-purple, and dark brown light, clay mineral kaolinite 3 emits indigo light, and sporadic calcite 2 emits orange-yellow light occasionally, and mud does not emit light.
[0071] For example, Figure 1 and Figure 4 For example, after the fine- and medium-grained sandstone containing gray matter is artificially made into a rock thin section sample, the fine- and medium-grained sandstone sample containing gray matter is bombarded with an electron beam, and the cement, calcite 2, quartz gravel 11, quartz 1 and clay mineral kaolinite 3 emit fluorescence of different wavelengths. Due to the differences in wavelengths such as blue, indigo light and orange-red, different brightness will be displayed in the first fluorescence image, and different fluorescence color areas will be obtained. Among them, the fluorescent color with more obvious brightness is easy to block other colors and is easy to identify. A coordinate system is established based on the first fluorescence image to obtain the basic model.
[0072] By using different filters to obtain the corresponding second fluorescent image, the second fluorescent image will have different brightness changes in the same fluorescent color area compared with the basic model due to the filtering of different light wavelengths. Different fluorescent color areas contain complexity of light wavelengths. If the light wavelength corresponding to the fluorescent color area is blue or indigo light, which is similar to fluorescence, the brightness change of the fluorescent color area is small. However, blue or indigo light, which is similar to fluorescence, corresponds to different rocks.
[0073] The fluorescent color area with small brightness value changes is then processed again through a polarizing film to enhance the display of cathode luminescence characteristics, thereby distinguishing similar fluorescence such as blue or indigo light.
[0074] Example 2
[0075] The difference from the above embodiment is that in step 1, during the process of making the rock thin section sample, a non-luminous adhesive is used to fix the rock sample.
[0076] The specific implementation process is as follows: Because the luminescent color of minerals is very complex, in order to correctly judge the luminescent color, in addition to minerals, the interference of other luminescent substances in the rock slices must be eliminated, and non-luminescent adhesive is used for bonding so that the luminescent colors seen are all the luminescent colors of minerals.
[0077] Example 3
[0078] The difference from the above embodiment is that in step 1, during the process of preparing the rock slice sample, gold foil is also used to wrap the outer edge of the rock slice sample.
[0079] The specific implementation process is as follows: the good thermal conductivity of the gold foil facilitates the dissipation of the heat accumulated under electron bombardment, so as to prevent the heat from affecting the detection of the rock slice sample during the cathode luminescence detection process.
[0080] Example 4
[0081] The difference from the above embodiment is that, in step four, the brightness reference value is determined by the average brightness change value corresponding to the identifiable fluorescent color area and the brightness reference value of the rock thin section sample in the historical data, wherein the average brightness change value is determined by the average brightness change amount B of the same fluorescent color area in different second fluorescent images.
[0082] The specific implementation process is as follows: the brightness reference value is determined by the average brightness change corresponding to the identifiable fluorescent color area and the brightness reference value of the rock thin section sample in the historical data, so that the brightness reference value has a reference value, which is convenient for finding areas with small fluorescent color changes, and a polarizing microscope is used for secondary confirmation.
[0083] Example 5
[0084] The difference from the above embodiment is that a system for automatically identifying the cathode luminescence colors of different minerals in rocks, according to the above method for automatically identifying the cathode luminescence colors of different minerals in rocks, comprises an electron beam generating module, a processing module and an image acquisition module;
[0085] The electron beam generating module is used to emit electron beams to bombard rock slice samples;
[0086] The image acquisition module is used to acquire and store a first fluorescent image, a second fluorescent image and a third fluorescent image of the rock thin section sample, and send the first fluorescent image, the second fluorescent image and the third fluorescent image to the processing module;
[0087] The processing module is used to input and store historical data, obtain identifiable fluorescent color areas based on the first fluorescent image coordinate system, and establish a basic model based on the distribution of the fluorescent color areas on the first fluorescent image on the coordinate system;
[0088] The processing module then obtains the brightness change A corresponding to the different fluorescent color areas based on the first fluorescent image based on the different second fluorescent images obtained by switching the filter, and obtains the brightness change B of the different fluorescent color areas in the second fluorescent image, outputs the brightness change values corresponding to the different fluorescent color areas based on the brightness change A and the brightness change B, determines that the fluorescent color areas correspond to different light wavelengths based on the brightness change values, and marks the different light wavelengths into the basic model;
[0089] The processing module determines the brightness reference value corresponding to each light wavelength according to the historical data, and then compares the brightness change value with the brightness reference value in turn, obtains the difference between each brightness change value and the brightness reference value, and obtains the fluorescent color area corresponding to the brightness reference value whose difference is less than the threshold value;
[0090] Determine the fluorescent color mark corresponding to the fluorescent color area in the third fluorescent image based on the cathode luminescence characteristics corresponding to different minerals, and add the fluorescent color mark to the basic model;
[0091] The processing module then overlaps and displays the light wavelength mark and the fluorescent color mark corresponding to each fluorescent color area in the basic model, and outputs the image display.
[0092] The specific implementation process is as follows: by controlling the operation of the electron beam generating module, basic laser conditions are provided for obtaining the fluorescent image; the first fluorescent image, the second fluorescent image and the third fluorescent image are acquired through the image acquisition module to provide basic data reference for the comparison of the subsequent processing module; and then the processing module is used to provide the basic hardware foundation for realizing the above method. The processing module in this embodiment is a common computer.
[0093] The above is only an embodiment of the present invention, and the common knowledge such as the known specific structure and / or characteristics in the scheme is not described in detail here. It should be pointed out that for those skilled in the art, several deformations and improvements can be made without departing from the structure of the present invention, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.
Claims
1. A method for automatically identifying the cathode luminescence colors of different rock minerals, characterized in that: The following steps are involved: Step 1: Making the rock sample into a rock thin section sample of a predetermined thickness, and polishing the rock thin section sample; Step 2: In a vacuum environment, the rock thin section sample is bombarded with an electron beam, and the first image is collected through a cathode luminescence microscope to obtain a first fluorescent image, a coordinate system is established based on the first fluorescent image, and a recognizable fluorescent color area is obtained, and a basic model is established based on the distribution of the fluorescent color area on the first fluorescent image on the coordinate system; Step 3: using different filters in a cathode luminescence microscope to obtain corresponding different second fluorescent images, obtaining brightness change A corresponding to different fluorescent color areas based on the first fluorescent image, and obtaining brightness change B of different fluorescent color areas in the second fluorescent image, outputting brightness change values corresponding to different fluorescent color areas based on brightness change A and brightness change B, determining different light wavelengths corresponding to the fluorescent color areas based on the brightness change values, and marking the different light wavelengths in the basic model; Step 4: Determine the brightness reference value corresponding to each light wavelength according to historical data, compare the brightness change value in step 3 with the brightness reference value in turn, obtain the difference between each brightness change value and the brightness reference value, and obtain the fluorescent color area corresponding to the brightness reference value whose difference is less than the threshold; Then, a polarizing microscope is used to obtain a third fluorescent image under the conversion of single polarization and orthogonal polarization, and the fluorescent color mark corresponding to the fluorescent color area is determined based on the cathode luminescence characteristics corresponding to different minerals, and the fluorescent color mark is added to the basic model; Based on the overlapping display of the light wavelength mark and the fluorescent color mark corresponding to each fluorescent color area in the basic model, the output image display is performed.
2. The method for automatically identifying the cathode luminescence colors of different rock minerals according to claim 1 is characterized in that: In step one, during the preparation of the rock thin section sample, the rock sample is fixed using non-luminous adhesive.
3. The method for automatically identifying the cathode luminescence colors of different rock minerals according to claim 1 is characterized in that: In step one, during the process of preparing the rock thin section sample, gold foil is also used to wrap the outer edge of the rock thin section sample.
4. The method for automatically identifying the cathode luminescence colors of different rock minerals according to claim 1 is characterized in that: In steps 2 to 4, the lenses of the cathodoluminescence microscope and the polarizing microscope are at the same position.
5. The method for automatically identifying the cathode luminescence colors of different rock minerals according to claim 1 is characterized in that: In step three, different light wavelength markers based on the same fluorescent color area are also displayed in an overlapping manner.
6. The method for automatically identifying the cathode luminescence colors of different rock minerals according to claim 1 is characterized in that: In step 4, the brightness reference value is determined by the average value of the brightness change corresponding to the identifiable fluorescent color area and the brightness reference value of the rock thin section sample in the historical data.
7. The method for automatically identifying the cathode luminescence colors of different rock minerals according to claim 1, characterized in that: In step 1, blank points for marking coordinate systems are provided around the rock thin section sample.
8. A system for automatically identifying the cathode luminescence colors of different rock minerals, characterized by: The system according to any one of claims 1 to 7 for automatically identifying the cathode luminescence colors of different minerals in rocks comprises an electron beam generating module, a processing module and an image acquisition module; The electron beam generating module is used to emit electron beams to bombard rock slice samples; The image acquisition module is used to acquire and store a first fluorescent image, a second fluorescent image and a third fluorescent image of the rock thin section sample, and send the first fluorescent image, the second fluorescent image and the third fluorescent image to the processing module; The processing module is used to input and store historical data, obtain identifiable fluorescent color areas based on the first fluorescent image coordinate system, and establish a basic model based on the distribution of the fluorescent color areas on the first fluorescent image on the coordinate system; The processing module then obtains the brightness change A corresponding to the different fluorescent color areas based on the first fluorescent image based on the different second fluorescent images obtained by switching the filter, and obtains the brightness change B of the different fluorescent color areas in the second fluorescent image, outputs the brightness change values corresponding to the different fluorescent color areas based on the brightness change A and the brightness change B, determines that the fluorescent color areas correspond to different light wavelengths based on the brightness change values, and marks the different light wavelengths into the basic model; The processing module determines the brightness reference value corresponding to each light wavelength according to the historical data, and then compares the brightness change value with the brightness reference value in turn, obtains the difference between each brightness change value and the brightness reference value, and obtains the fluorescent color area corresponding to the brightness reference value whose difference is less than the threshold value; Determine the fluorescent color mark corresponding to the fluorescent color area in the third fluorescent image based on the cathode luminescence characteristics corresponding to different minerals, and add the fluorescent color mark to the basic model; The processing module then overlaps and displays the light wavelength mark and the fluorescent color mark corresponding to each fluorescent color area in the basic model, and outputs the image display.
Citation Information
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