CN110197476B - Analysis method of complex sinter three-dimensional micro-mineral phase based on feature fusion - Google Patents
Analysis method of complex sinter three-dimensional micro-mineral phase based on feature fusion Download PDFInfo
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Abstract
The invention discloses a method for analyzing a three-dimensional micro-mineral phase of a complex sintering mineral based on feature fusion, which is characterized in that the method adopts a mode of combining optical microscopic analysis and electron microscopic analysis to distinguish mineral phases which are difficult to distinguish under an optical microscope by using an electron microscope to obtain a two-dimensional complete mineral phase distinguishing picture of the complex sintering mineral, then three-dimensional reconstruction is carried out to obtain a three-dimensional micro-mineral phase picture of the complex sintering mineral, and a perspective view and a three-dimensional micro-sectional view of each mineral phase of the complex sintering mineral are obtained by setting opacity and further sectioning; through the mode, each mineral phase of the complex sintering ore can be accurately distinguished, the volume ratio of any mineral phase or air hole can be accurately obtained, the distribution characteristics of each mineral phase on different sections can be represented, and the overall structure and the combination state of each mineral phase and each air hole in the complex sintering ore can be visually observed.
Description
Technical Field
The invention relates to the field of complex sinter ore phase analysis, in particular to a method for analyzing a complex sinter three-dimensional micro-ore phase based on feature fusion.
Background
The sinter is an artificial rich ore which is formed by mixing a plurality of materials and partially melting at high temperature, the internal ore phase organization structure is very complex, the sinter is one of the main raw materials for blast furnace ironmaking, and the performances of the sinter, such as reducibility, low-temperature reduction degradation rate, drum strength, wear resistance index, droplet performance and the like, directly influence the blast furnace production; the performance of the sintered ore is closely related to the type and content of the internal ore phase. Meanwhile, with the rapid development of iron and steel enterprises in China, the problem of resource shortage of high-grade iron ores is increasingly prominent, and in order to reduce production cost and improve enterprise competitiveness, a large amount of low-grade iron ore raw materials are used for producing sinter. Based on the reason that the reduction of the grade of the iron ore may cause the reduction of the sinter quality, the characterization and analysis of the complex sinter micro-mineral phase are significant for controlling the sinter quality in mass production in industry.
At present, the sintered ore phase is generally analyzed by using an image obtained in a single mode, and the gray scale and the shape of the corresponding tissue of the image and the combination state of the peripheral tissue are distinguished and identified, and the main methods are two types: one method is to directly carry out test analysis through an optical microscope, and count by adopting an artificial point counting method by means of a grid ruler, and the method is simpler, but has the problems of large workload, low efficiency, low accuracy and the like; the other method is to carry out statistical analysis on pictures obtained by an optical microscope or an electron microscope by means of tools such as an image analyzer or a computer digital image processing technology, the analysis efficiency of the method is high, but the ore phases with similar gray levels cannot be accurately distinguished, for example, perovskite and calcium ferrite in the alkaline vanadium-titanium sintered ore cannot be distinguished under the optical microscope, and magnetite and hematite cannot be distinguished under the electron microscope.
Meanwhile, the current research on image analysis is mainly carried out on two-dimensional images, the sintered ore is a three-dimensional entity formed by connecting various minerals and air holes through different types of interfaces, and a two-dimensional plane graph cannot fully display the complex three-dimensional details of the sintered ore, so that the distribution and change characteristics of each mineral phase in the sintered ore are difficult to intuitively and accurately express.
Disclosure of Invention
Based on the problems that the mineral phases with similar gray levels cannot be accurately distinguished and the internal structure of the sintering ore cannot be visually expressed when the two-dimensional image is obtained by singly using an optical microscope or an electron microscope in the prior art, the invention provides an analysis method of a three-dimensional micro-mineral phase of the complex sintering ore based on feature fusion, which distinguishes the mineral phases which cannot be distinguished under the optical microscope by using an electron microscope by adopting a mode of combining optical micro-analysis and electron micro-analysis to obtain a complete distinguishing picture of the two-dimensional mineral phase of the complex sintering ore, then carries out three-dimensional reconstruction to obtain a three-dimensional micro-mineral phase picture of the complex sintering ore, and obtains a perspective view and a three-dimensional micro-sectional view of each mineral phase of the complex sintering ore by setting opacity and further sectioning, thereby accurately distinguishing each mineral phase of the complex sintering ore and more accurately obtaining the volume proportion of any mineral phase or air hole, and the distribution characteristics of each mineral phase on different sections can be represented, and the integral structure and the combination state of each mineral phase and each air hole in the complex sintering ore can be visually observed.
In order to achieve the aim, the invention provides a method for analyzing a three-dimensional micro-mineral phase of a complex sinter based on feature fusion, which comprises the following steps:
(1) randomly selecting an area on the surface of a complex sintered ore sample, respectively shooting the area by using an optical microscope and an electron microscope, processing the obtained optical microscope picture and the obtained electron microscope picture by using a multi-scale filtering and multi-threshold segmentation method to respectively obtain an incomplete ore phase segmentation picture of the optical microscope and an incomplete ore phase segmentation picture of the electron microscope, and carrying out registration and fusion processing on the incomplete ore phase segmentation pictures to obtain a two-dimensional complete ore phase segmentation picture;
(2) determining the fixed interlayer spacing and polishing parameters of three-dimensional reconstruction, obtaining a complete mineral phase segmentation map of each layer according to the mode of the step (1), and performing three-dimensional reconstruction to obtain a three-dimensional microscopic mineral phase map;
(3) performing perspective treatment and sectioning treatment on the three-dimensional micro-mineral phase image obtained in the step (2) to obtain a three-dimensional micro-mineral phase perspective view and a cross-sectional view of the complex sintering mineral;
(4) and (3) counting the pixel points of all mineral phases in the three-dimensional microscopic mineral phase diagram obtained in the step (2) to obtain the volume ratio of the three-dimensional mineral phases or air holes of the complex sintering mineral.
Further, when the same area on the surface of the complex sintered ore sample is shot by adopting an optical microscope and an electron microscope in the step (1), based on the structural characteristics of the mineral phase of the area to be analyzed and the resolution of the microscope, the minimum light spot distance and the minimum size of the mineral phase can be distinguished by human eyes, and a proper magnification factor is selected, wherein the selected magnification factor is not less than the minimum magnification factor. The minimum light spot distance and the minimum mineral phase size can be distinguished according to human eyes, and a formula is utilized
A minimum magnification factor may be calculated, where: mu.s ofDisplay device>0.2mm，μ1Refers to the size length of a single pixel point; mu.s ofDisplay device<0.2mm，μ1Refers to the limit of human eyes to recognize the spot distance, mu2For the smallest or largest dimension of the mineral phase to be observed, k1Is a coordination constant.
Further, in the step (1), the optical microscope picture and the electron microscope picture are processed by a multi-scale filtering and multi-threshold segmentation method, and the specific steps are as follows:
a. removing noise and high-frequency clutter by adopting two-dimensional discrete wavelet decomposition;
b. reshaping the image by utilizing wavelet inverse transformation, and enhancing the edge information of the image;
c. and determining an optimal threshold according to the gray level difference, and performing multi-threshold segmentation to distinguish complex mineral phases.
Further, the registration fusion process described in step (1) specifically includes the following steps: and (3) registering and fusing the incomplete mineral phase image of the optical microscope and the incomplete mineral phase image of the electron microscope by adopting an improved edge detection algorithm, and performing supplementary discrimination by utilizing the segmentation image of the electron microscope to obtain the two-dimensional complete mineral phase segmentation image.
Further, the improved edge detection algorithm is that according to wavelet transform domains of images of an optical microscope and an electron microscope, discrete local maximum points of the edges of the images are obtained and are used as characteristic points of image registration to be connected into a maximum curve, edge contours of images of the optical lens and the electron microscope are obtained, and the characteristic points of the edge contours are used for registration of images of the photoelectric lens.
Further, the step (2) of determining the fixed interlamellar spacing and the polishing parameters of the three-dimensional reconstruction means that 1/2 of the size length of the minimum mineral phase or the minimum air hole which can be identified by human eyes is used as the fixed interlamellar spacing of the three-dimensional reconstruction, and the polishing parameters are adjusted by continuously measuring by using an indentation method until the interlamellar spacing delta h which is consistent with 1/2 of the size length of the minimum mineral phase or the minimum air hole is obtained. The formula for confirming the interlayer spacing Δ h by indentation measurement is as follows:
wherein: x is the number of1Is the width of the initial indentation measured;
x2polishing the measured sinter sample by a certain thickness and then pressing the sample to obtain the width of the indentation;
alpha is the angle of the diamond indenter used in the indentation method.
Further, the perspective processing in the step (3) is to set the opacity of the mineral tissue to be analyzed to 1 and the opacity of the other mineral tissues to 0, so as to obtain a three-dimensional perspective view of a certain mineral or pore in the complex sintered ore; if two or more interwoven minerals are analyzed, the minerals to be analyzed are respectively set with different opacities for distinguishing, the opacities of the minerals to be analyzed are not 0, and the opacities of the other minerals not to be analyzed are set with 0, so that a three-dimensional perspective view of the interwoven minerals in the complex sintered ore is obtained.
Further, the sectioning treatment in the step (3) means that the three-dimensional micro-mineral phase image is sectioned from an X axis, a Y axis and a Z axis respectively, and the sectioning unit length is freely determined according to the mineral phase to be observed to obtain a three-dimensional micro-mineral phase sectional view; the mineral can also be cut by combining the perspective view to obtain a cut perspective view of the mineral.
Further, the specific method for obtaining the volume ratio of the three-dimensional mineral phases or pores of the complex agglomerate by counting the pixel points of each mineral phase in the three-dimensional microscopic mineral phase diagram obtained in the step (2) in the step (4) is as follows:
a is obtained by assuming a complete mineral phase segmentation map of the ith layer of a complex sintered ore1,A2,A3……AnPlanting mineral facies, and counting to obtain total amount of i-layer mineral facies as T based on pixelsiWherein i is 1,2 … … m, n is the number of the types of the mineral phases, and m is the total number of the layers of the mineral phases; let A in the i-th mineral phase1Mineral phase content Xi1Then i layer A1The area fraction of the mineral phase is
Can obtain a sintered ore area A1Volume fraction of mineral phase:
the two-dimensional ore phase area fraction can be converted into a three-dimensional ore phase volume fraction by using the formula, and the volume ratio of any ore phase or air hole in the complex sintered ore is obtained.
The invention has the beneficial effects that:
1. according to the invention, by adopting a mode of combining optical microscopic analysis and electron microscopic analysis, the ore phases which have small gray level difference and are difficult to distinguish under an optical microscope are identified and distinguished by using the electron microscope, so that each ore phase of the complex sintering ore is accurately distinguished;
2. the three-dimensional microscopic phase diagram of the complex sinter is obtained by a three-dimensional reconstruction method, and the overall structure of the complex sinter is visually shown;
3. the invention can represent the distribution characteristics of each mineral phase on different sections by carrying out perspective and sectioning processing on the three-dimensional microscopic mineral phase diagram, visually observe the overall structure and combination state of each mineral phase and air holes in the complex sintering ore, and accurately obtain the volume ratio of any mineral phase or air hole by counting the number of pixel points.
Drawings
FIG. 1 is an optical microscope (left) and an electron microscope (right) of an alkaline vanadium-titanium sinter in an example of the invention;
FIG. 2 is a partially sectioned view of optical (left) and electron (right) microscopic mineral phases in an example of the invention;
FIG. 3 is a complete phase cut of calcium ferrite and perovskite in an embodiment of the present invention;
FIG. 4 is a partial three-dimensional micro-phase diagram of the basic vanadium-titanium sinter in accordance with an embodiment of the present invention;
FIG. 5 is a partial three-dimensional perspective view of perovskite (left), pore (middle) and hematite magnetite (right) interlaced minerals in an embodiment of the present invention.
FIG. 6 is a three-dimensional microscopic mineral phase cross-sectional view of a hematite mineral phase and a cutaway perspective view of a hematite-magnetite interlaced mineral in an embodiment of the present invention.
Detailed Description
The following detailed description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, will make the advantages and features of the invention easier to understand by those skilled in the art, and thus will clearly and clearly define the scope of the invention.
Example 1
The embodiment of the invention takes alkaline vanadium-titanium sinter as an example, and provides a method for analyzing a three-dimensional micro-mineral phase of a complex sinter based on feature fusion, which comprises the following steps:
(1) randomly selecting an area on the surface of the prepared sinter sample as a surface to be analyzed, and selecting a proper magnification factor based on the ore phase structure characteristics of the area to be analyzed and the resolution of a microscope, wherein the selected magnification factor is not less than the minimum magnification factor. The minimum light spot distance and the minimum mineral phase size can be distinguished according to human eyes, and a formula is utilized
Calculating a minimum magnification, wherein: mu.s ofDisplay device>0.2mm，μ1Refers to the size length of a single pixel point; mu.s ofDisplay device<0.2mm，μ1The method refers to the point distance of light points recognized by the limit of human eyes; mu.s2To observe the smallest size of the mineral phase, k1Is a coordination constant. The minimum magnification is 200X through calculation, so that 693X is selected by the optical microscope to shoot the surface to be analyzed, 200X is selected by the electron microscope to shoot the surface to be analyzed, and the sintered ore optical microscope and the electron microscope microscopic picture with the same scale can be obtained, as shown in fig. 1, wherein the left picture is the picture shot by the optical microscope, the right picture is the picture shot by the electron microscope, as can be seen from fig. 1, the gray levels of the same mineral phase in the two shooting modes are different, and the pictures obtained by the two microscopes can be subjected to fusion analysis.
(2) Performing multi-scale filtering processing on the optical microscope picture and the electron microscope picture shot in the step (1), and performing ore phase segmentation on the optical microscope picture and the electron microscope picture by adopting a multi-threshold segmentation mode based on the gray scale characteristics of the ore phase, wherein the specific steps are as follows:
a. removing noise and high-frequency clutter by adopting two-dimensional discrete wavelet decomposition;
b. reshaping the image by utilizing wavelet inverse transformation, and enhancing the edge information of the image;
c. determining an optimal threshold according to the gray level difference, and performing multi-threshold segmentation to distinguish complex mineral phases;
and (3) obtaining an incomplete mineral phase segmentation image obtained by mineral phase segmentation, as shown in fig. 2, wherein the left image is an incomplete mineral phase segmentation image of an optical microscope, the right image is an incomplete mineral phase segmentation image of an electron microscope, and perovskite and calcium ferrite phases are marked in the image, and as can be seen from fig. 2, the perovskite and the calcium ferrite phases which can not be identified and segmented in the segmentation image of the optical microscope can be identified and segmented in the electron microscope image.
(3) And (3) registering and fusing the optical microscope incomplete segmentation image and the electron microscope incomplete segmentation image by adopting an improved edge detection algorithm, and supplementing and distinguishing perovskite and calcium ferrite phases which cannot be distinguished by the optical microscope in the mineral phase incomplete segmentation image obtained in the step (2) by using the electron microscope segmentation image to obtain the mineral phase complete segmentation image of perovskite and calcium ferrite, wherein the left image is an optical microscope image, the middle image is an electron microscope image, and the right image is a fused image, and as can be seen from the image in fig. 3, after the electron microscope image is fused, the perovskite and calcium ferrite which cannot be distinguished originally in the optical microscope due to similar gray levels can be accurately identified and segmented.
The improved edge detection algorithm is that discrete local maximum points of the image edge are obtained according to the wavelet transform domain of the images of the optical microscope and the electron microscope, the discrete local maximum points are used as characteristic points of image registration and are connected into a maximum curve to obtain the edge contour of the optical lens and the electron microscope image, and the edge contour characteristic points are used for registration of the photoelectric lens image.
(4) 1/2 with the size length of the minimum mineral phase or the minimum pore which can be identified by human eyes is used as the fixed interlamellar spacing of the three-dimensional reconstruction, and the minimum pore of the vanadium-titanium sinter is 5.3 mu m, so that the fixed interlamellar spacing is 2.5 mu m. Continuously measuring by using a Vickers hardness tester to detect whether the interlayer spacing meets the requirement, determining proper polishing parameters according to the requirement, polishing layer by using an automatic polishing machine according to the polishing time of 5min, the pressure of 3Pa and the granularity of a polishing agent of 1.5 mu m, obtaining a complete mineral phase segmentation diagram of each layer according to the steps (1) to (3), obtaining 50 layers in total, and performing three-dimensional reconstruction to obtain a three-dimensional microscopic mineral phase diagram, wherein the three-dimensional microscopic mineral phase diagram is shown in figure 4.
Wherein, the formula of the interlayer spacing delta h measured and confirmed by a Vickers hardness tester is as follows:
in the formula: x is the number of1The measured width of the initial indentation of the Vickers hardness tester;
x2polishing the measured sinter sample by a certain thickness and then pressing the sample to obtain the width of the indentation;
alpha is the Vickers indenter angle.
(5) Sequentially setting the opacity of local perovskites and air holes in the three-dimensional micro-mineral phase diagram obtained in the step (4) to be 1 and setting the opacity of corresponding other mineral structures to be 0 to obtain a local three-dimensional perspective view of the perovskites and the air holes in the alkaline vanadium-titanium sintered mineral; and respectively setting opacity of 0.5 and 1 for partial hematite and magnetite in a three-dimensional micro-mineral phase diagram, and setting the opacity of the rest minerals as 0 to obtain a three-dimensional perspective view of the hematite and magnetite interwoven minerals in the complex sintered ore, wherein as shown in fig. 5, the partial three-dimensional perspective views of perovskite, air holes and the hematite and magnetite interwoven minerals are sequentially arranged from left to right in the diagram, and the overall structure and the combination state of the perovskite and the air holes in the complex sintered ore and the interwoven structure of the hematite and magnetite interwoven minerals can be seen from fig. 5.
(6) Establishing an origin of coordinates for the hematite phase in the three-dimensional micro-mineral phase diagram obtained in the step (4), and performing sectioning treatment on the hematite phase from an X axis, a Y axis and a Z axis by 400, 200 and 100 pixel points to obtain a three-dimensional micro-mineral phase sectional view of the hematite phase, wherein as shown in fig. 6(a), the distribution characteristics of the hematite phase on each section can be clearly observed from the diagram; half-section processing is carried out on hematite in the hematite magnetite perspective view to obtain a section perspective view of the hematite magnetite, and as shown in fig. 6(b), the interweaving structure change of the hematite and the magnetite can be observed from the figure.
(7) Counting the pixel points occupied by each mineral phase in the three-dimensional microscopic mineral phase diagram obtained in the step (4) to obtain the volume ratio of each three-dimensional mineral phase or pore in the complex sinter, wherein the specific method comprises the following steps:
a is obtained by assuming a complete mineral phase segmentation map of the ith layer of a complex sintered ore1,A2,A3……AnPlanting mineral facies, and counting to obtain total amount of i-layer mineral facies as T based on pixelsiWherein i is 1,2 … … m, n is the number of kinds of mineral phases, m is the total number of layers of mineral phases, and A in the mineral phase of the ith layer is defined as1Mineral phase content Xi1Then i layer A1The area fraction of the mineral phase is
Can obtain a sintered ore area A1Volume fraction of mineral phase:
the two-dimensional ore phase area fraction can be converted into a three-dimensional ore phase volume fraction by using the formula, and the volume ratio of any ore phase or air hole in the complex sintered ore is obtained. The two-dimensional area fraction and the three-dimensional mineral phase volume fraction of each main mineral phase (hematite, magnetite, calcium ferrite, silicate, perovskite, pore) of the basic vanadium-titanium sintered ore in a certain interface in the embodiment are shown in table 1:
TABLE 1 two-dimensional area fraction and three-dimensional ore phase volume fraction of each main ore phase of the basic vanadium-titanium sinter
As can be seen from Table 1, the analysis method of the complex sintering ore three-dimensional micro-mineral phase based on feature fusion can accurately distinguish and quantitatively calculate the two-dimensional area fraction and the three-dimensional volume fraction of each mineral phase and each air hole in the sintering ore.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. A method for analyzing a three-dimensional micro-mineral phase of a complex sinter based on feature fusion is characterized by comprising the following steps:
(1) randomly selecting an area on the surface of a complex sintered ore sample, respectively shooting the area by using an optical microscope and an electron microscope, processing the obtained optical microscope picture and the obtained electron microscope picture by using a multi-scale filtering and multi-threshold segmentation method to respectively obtain an incomplete ore phase segmentation picture of the optical microscope and an incomplete ore phase segmentation picture of the electron microscope, and carrying out registration and fusion processing on the incomplete ore phase segmentation pictures to obtain a two-dimensional complete ore phase segmentation picture;
(2) determining the fixed interlayer spacing and polishing parameters of three-dimensional reconstruction, obtaining a complete mineral phase segmentation map of each layer according to the mode of the step (1), and performing three-dimensional reconstruction to obtain a three-dimensional microscopic mineral phase map;
(3) performing perspective treatment and sectioning treatment on the three-dimensional micro-mineral phase image obtained in the step (2) to obtain a three-dimensional micro-mineral phase perspective view and a cross-sectional view of the complex sintering mineral;
(4) counting pixel points of all mineral phases in the three-dimensional microscopic mineral phase diagram obtained in the step (2) to obtain the volume ratio of the three-dimensional mineral phases or air holes of the complex sintering mineral;
in the step (2), the determining of the fixed interlamellar spacing and the polishing parameters of the three-dimensional reconstruction means that 1/2 of the size length of the minimum mineral phase or the minimum air hole which can be identified by human eyes is used as the fixed interlamellar spacing of the three-dimensional reconstruction, and the polishing parameters are adjusted by continuously measuring by using an indentation method until the interlamellar spacing delta h which is in accordance with 1/2 of the size length of the minimum mineral phase or the minimum air hole is obtained; the formula for confirming the interlayer spacing Δ h by indentation measurement is as follows:
wherein: x is the number of1Is the width of the initial indentation measured;
x2polishing the measured sinter sample by a certain thickness and then pressing the sample to obtain the width of the indentation;
alpha is the angle of the diamond indenter used in the indentation method.
2. The method for analyzing the complex sinter three-dimensional micro-mineral phase based on feature fusion as claimed in claim 1, wherein: when the same area of the surface of the complex sinter sample is shot by adopting an optical microscope and an electron microscope in the step (1), selecting a proper magnification factor based on the ore phase structure characteristics and the microscope resolution of an area to be analyzed, wherein the selected magnification factor is not less than the minimum magnification factor; the minimum light spot distance and the minimum mineral phase size can be distinguished according to human eyes, and a formula is utilized
A minimum magnification factor may be calculated, where: mu.s ofDisplay device>0.2mm，μ1Refers to the size length of a single pixel point; mu.s ofDisplay device<0.2mm，μ1The method refers to the point distance of light points recognized by the limit of human eyes; mu.s2To observe the smallest size of the mineral phase, k1Is a coordination constant.
3. The method for analyzing the complex sinter three-dimensional micro-mineral phase based on feature fusion as claimed in claim 1, wherein: in the step (1), the obtained optical microscope picture and the electron microscope picture are processed by adopting a multi-scale filtering and multi-threshold segmentation method, and the specific steps are as follows:
a. removing noise and high-frequency clutter by adopting two-dimensional discrete wavelet decomposition;
b. reshaping the image by utilizing wavelet inverse transformation, and enhancing the edge information of the image;
c. and determining an optimal threshold according to the gray level difference, and performing multi-threshold segmentation to distinguish complex mineral phases.
4. The method for analyzing the complex sinter three-dimensional micro-mineral phase based on feature fusion as claimed in claim 1, wherein: the registration fusion processing in the step (1) comprises the following specific steps: performing registration fusion on the incomplete image of the optical microscope and the incomplete image of the electron microscope by adopting an improved edge detection algorithm for mineral phases which cannot be distinguished in the incomplete image of the mineral phases of the optical microscope, and performing supplementary distinction by utilizing the segmentation image of the electron microscope to obtain a two-dimensional complete image of the mineral phases; the improved edge detection algorithm is that according to wavelet transform domains of images of an optical microscope and an electron microscope, discrete local maximum points of the edges of the images are obtained and are used as characteristic points of image registration to be connected into a maximum curve, edge profiles of an optical lens and an electron microscope image are obtained, and the characteristic points of the edge profiles are used for registration of the photoelectric lens image.
5. The method for analyzing the complex sinter three-dimensional micro-mineral phase based on feature fusion as claimed in claim 1, wherein: the perspective treatment in the step (3) is to set the opacity of the mineral tissue to be analyzed to 1 and the opacity of the other mineral tissue to 0 to obtain a three-dimensional perspective view of any mineral or pore in the complex sintered ore; if two or more interwoven minerals are analyzed, the minerals to be analyzed are respectively set with different opacities for distinguishing, the opacities of the minerals to be analyzed are not 0, and the opacities of the other minerals not to be analyzed are set with 0, so that a three-dimensional perspective view of the interwoven minerals in the complex sintered ore is obtained.
6. The method for analyzing the complex sinter three-dimensional micro-mineral phase based on feature fusion as claimed in claim 1, wherein: the sectioning treatment in the step (3) is to section the three-dimensional micro-mineral phase image from an X axis, a Y axis and a Z axis respectively, and the sectioning unit length is freely determined according to the mineral phase to be observed to obtain a three-dimensional micro-mineral phase sectional view; the mineral can also be cut by combining the perspective view to obtain a cut perspective view of the mineral.
7. The method for analyzing the complex sinter three-dimensional micro-mineral phase based on feature fusion as claimed in claim 1, wherein: the specific method for obtaining the volume ratio of the three-dimensional ore phase or the air hole of the complex sinter by counting the pixel points of each ore phase in the three-dimensional microscopic ore phase diagram obtained in the step (2) comprises the following steps:
a is obtained by assuming a complete mineral phase segmentation map of the ith layer of a complex sintered ore1,A2,A3……AnPlanting mineral facies, and counting to obtain total amount of i-layer mineral facies as T based on pixelsiWherein i is 1,2 … … m, n is the number of the types of the mineral phases, and m is the total number of the layers of the mineral phases; let A in the i-th mineral phase1Mineral phase content Xi1Then i layer A1The area fraction of the mineral phase is
Can obtain a sintered ore area A1Volume fraction of mineral phase:
the two-dimensional ore phase area fraction can be converted into a three-dimensional ore phase volume fraction by using the formula, and the volume ratio of any ore phase or air hole in the complex sintered ore is obtained.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009146994A1 (en) * | 2008-06-06 | 2009-12-10 | Siemens Vai Metals Technologies Gmbh & Co | Method of controlling a transformation process |
| CN103310423A (en) * | 2013-07-08 | 2013-09-18 | 中国矿业大学(北京) | Mine image intensification method |
| CN106056668A (en) * | 2016-07-14 | 2016-10-26 | 武汉科技大学 | Three-dimensional reconstruction method for sinter microstructure diagram |
| CN106204729A (en) * | 2016-07-14 | 2016-12-07 | 武汉科技大学 | A kind of three-dimensional rebuilding method of antimonate precipitation figure |
| CN106480195A (en) * | 2016-10-21 | 2017-03-08 | 中国科学院地质与地球物理研究所 | The method that the combination of fluorescent electronic microscope is identified to microorganism and mineralising is analyzed |
| CN106504244A (en) * | 2016-11-03 | 2017-03-15 | 中国矿业大学 | A kind of mine Edge-Detection Algorithm that is accumulated with wavelet scale based on Retinex |
| CN107831182A (en) * | 2016-09-14 | 2018-03-23 | 中国石油化工股份有限公司 | A kind of method for matching ensaying image and scanning electron microscope image |
| CN109298001A (en) * | 2017-07-25 | 2019-02-01 | 东方晶源微电子科技（北京）有限公司 | Electron beam imaging module, Electron-beam measuring equipment and its image-pickup method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106018406A (en) * | 2016-05-19 | 2016-10-12 | 武汉科技大学 | Method for sinter microstructure analysis based on panoramic mineral phase diagram |
| CN105957091A (en) * | 2016-05-19 | 2016-09-21 | 武汉科技大学 | Coke microscopic structure analysis method based on microscopic-level panoramagram |
-
2019
- 2019-04-24 CN CN201910332264.XA patent/CN110197476B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009146994A1 (en) * | 2008-06-06 | 2009-12-10 | Siemens Vai Metals Technologies Gmbh & Co | Method of controlling a transformation process |
| CN103310423A (en) * | 2013-07-08 | 2013-09-18 | 中国矿业大学(北京) | Mine image intensification method |
| CN106056668A (en) * | 2016-07-14 | 2016-10-26 | 武汉科技大学 | Three-dimensional reconstruction method for sinter microstructure diagram |
| CN106204729A (en) * | 2016-07-14 | 2016-12-07 | 武汉科技大学 | A kind of three-dimensional rebuilding method of antimonate precipitation figure |
| CN107831182A (en) * | 2016-09-14 | 2018-03-23 | 中国石油化工股份有限公司 | A kind of method for matching ensaying image and scanning electron microscope image |
| CN106480195A (en) * | 2016-10-21 | 2017-03-08 | 中国科学院地质与地球物理研究所 | The method that the combination of fluorescent electronic microscope is identified to microorganism and mineralising is analyzed |
| CN106504244A (en) * | 2016-11-03 | 2017-03-15 | 中国矿业大学 | A kind of mine Edge-Detection Algorithm that is accumulated with wavelet scale based on Retinex |
| CN109298001A (en) * | 2017-07-25 | 2019-02-01 | 东方晶源微电子科技（北京）有限公司 | Electron beam imaging module, Electron-beam measuring equipment and its image-pickup method |
Non-Patent Citations (4)
| Title |
|---|
| Ore Petrography Using Optical Image Analysis：Application to Zaruma-Portovelo Deposit (Ecuador);Edgar Berrezueta 等;《geosciences》;20160621;第1-23页 * |
| 光学显微镜鉴定 扫描电镜 ( 能谱) 及微区衍射在微量矿物检测中的联合应用;胡耀东;《云南冶金》;20150228;第44卷(第1期);第63-66页 * |
| 基于DSP/ARM的图像增强技术;赵付;《中国优秀博硕士学位论文全文数据库（硕士） 信息科技辑》;20060815;第2006年卷(第08期);第I138-559页 * |
| 高碱度烧结矿的三维矿相特性分析;王炜 等;《钢铁研究学报》;20161130;第28卷(第11期);第6-11页 * |
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