CN104749201B - A kind of method for building up of mineral standard entropy color database - Google Patents
A kind of method for building up of mineral standard entropy color database Download PDFInfo
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Abstract
The invention discloses a kind of method for building up of mineral standard entropy color database, the reference colour data of mineral known to a variety of different types and mineral constituent are included in the mineral standard entropy color database set up；The reference colour data for obtaining multi mineral are engaged with image processing equipment using the SEM with energy spectrum analysis, when being obtained to the reference colour data of any mineral, process is as follows：First, sample is obtained；2nd, particle to be analyzed is chosen；3rd, Surface scan；4th, chemical element EDS maps are scanned；5th, image is transmitted；6th, image procossing, process is as follows：EDS maps image colorant, imaging importing, region to be analyzed are chosen and chromatic value calculating；7th, step one is repeated several times to six, until obtaining the reference colour data of multi mineral.The inventive method step is simple, reasonable in design and realization is convenient, required time is short, using effect is good, is accurately identified using the mineral standard entropy color database energy simplicity, the quick mineral constituent to the soil body set up.
Description
Technical field
The present invention relates to a kind of method for building up of database, more particularly, to a kind of foundation side of mineral standard entropy color database
Method.
Background technology
In the past, when being studied using the SEM with energy spectrum analysis the microstructure of soil sample, tested person
The limitation of technology, only focuses on the mode of appearance and granular size of particle in analysis soil sample, but to the mineralogical composition and its sky of particle
Between the influence research that is distributed to the engineering properties of soil it is few.When especially deploying the Study on Microstructure of special soils, due to special
The engineering geology and mechanical characteristic of soil are influenceed very big by its microstructure, not only need to analyze the outward appearance of special soils chats composition granule
Form and granular size, and also need to analyze the mineralogical composition and its spatial distribution of mineral grain, to mineral grain
When mineralogical composition and its spatial distribution are analyzed, the identification of mineralogical composition is most important.Special soils are distributed wide, spy in China
Different soil mainly includes loess, swelled ground, admaic earth, weak soil, frozen soil etc., finds out the microstructure of soil, for research special soils
Macromechanical property, optimization ground handling process etc., there is great economic implications and social value.Thus, to the micro- of the soil body
When sight structure (the especially microstructures of special soils) is studied, if setting up a kind of mineral standard entropy of mineral constituent identification
Color database, using the database and by data comparison, just can carry out easy, quick, accurate knowledge to the mineral constituent of the soil body
Not, the research to Soil Microstructure is then significant, correspondingly needs a kind of method and step simple, reasonable in design and real
Now the convenient, method for building up for the mineral standard entropy color database that required time is short, using effect is good, utilizes set up mineral standard entropy
Color database energy is easy, the quick mineral constituent to the soil body is accurately identified.
The content of the invention
In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is that providing a kind of mineral standard entropy
The method for building up of color database, its method and step is simple, reasonable in design and realization is convenient, required time is short, using effect is good, profit
Accurately identified with the mineral standard entropy color database energy simplicity, the quick mineral constituent to the soil body set up.
In order to solve the above technical problems, the technical solution adopted by the present invention is：A kind of foundation of mineral standard entropy color database
Method, it is characterised in that：Ore deposit known to a variety of different types and mineral constituent is included in the mineral standard entropy color database set up
Reference colour data (a of thingMark, bMark)；When being set up to the mineral standard entropy color database, using the scanning electron with energy spectrum analysis
Microscope is engaged the reference colour data (a for obtaining multi mineral with image processing equipmentMark, bMark), and the mineral standard entropy chromatic number
According to the reference colour data (a of each mineral in storehouseMark, bMark) acquisition methods all same；To the reference colour data (a of any mineralMark,
bMark) when being obtained, process is as follows：
Step 1: sample is obtained：The internal sample containing current institute's assaying is obtained, and acquired sample is beaten
Mill and polishing, obtain a scanning plane；Obtained scanning plane is scanning plane to be analyzed, and the scanning plane to be analyzed is plane
And contain the mineral grain of current institute's assaying thereon；
Step 2: particle to be analyzed is chosen：Described in step one on scanning plane to be analyzed, choose one and currently analyzed
The mineral grain of mineral is used as particle to be analyzed；
Step 3: Surface scan：Using the SEM with energy spectrum analysis, to scanning to be analyzed described in step one
Face is scanned, and obtains the electron-microscope scanning image of the scanning plane to be analyzed；
Step 4: chemical element EDS maps are scanned：Using the SEM with energy spectrum analysis to described to be analyzed
Scanning plane is scanned, and obtains the mapping picture of contained a variety of chemical elements on the scanning plane to be analyzed, the face point
The quantity of cloth image is several, and the mapping picture of each chemical element is the chemical element in the scanning plane to be analyzed
On mapping picture；
Step 5: image is transmitted：By the mapping of several in electron-microscope scanning image described in step 3 and step 4
Picture, is sent to image processing equipment；
Step 6: image procossing：Using described image processing equipment to the electron-microscope scanning received in step 5
Image and several described mapping pictures are handled, and obtain the reference colour data (a of current institute's assayingMark, bMark), process is such as
Under：
Step 601, EDS maps image colorant：According to the chemical element coloring data storehouse pre-established, image procossing is called
Software is coloured respectively to mapping picture several described；After coloring, the color of several mapping pictures is differed；
The chemical element coloring data storehouse includes the colouring information of a variety of chemical elements, and the face of a variety of chemical elements
Color information is differed；
Step 602, imaging importing：Described image is called to handle software, by face point described in each width after being coloured in step 601
Cloth image is superimposed upon on the electron-microscope scanning image, and image after being superimposed；
Step 603, region to be analyzed are chosen：Described image is called to handle software, after the superposition obtained in step 602
On image, choose the image-region residing for the particle to be analyzed and be used as region to be analyzed；
Step 604, chromatic value are calculated：First call described image to handle software, calculate in step 603 selected treat point
The color average value in region is analysed, the color average value calculated is Lab values；Afterwards, by the color average value calculated
A values and b values as the chromatic value in selected region to be analyzed, be denoted as (a, b)；
Step 7: step one is repeated several times to step 6, until obtaining ore deposit known to a variety of different types and mineral constituent
Reference colour data (a of thingMark, bMark)。
A kind of method for building up of above-mentioned mineral standard entropy color database, it is characterized in that：Electron-microscope scanning image described in step 3
For gray level image, the picture size and resolution ratio of mapping picture described in each width are swept with Electronic Speculum described in step 3 in step 4
Tracing is as identical.
A kind of method for building up of above-mentioned mineral standard entropy color database, it is characterized in that：Scanning plane to be analyzed described in step one
Upper to contain N kind chemical elements, wherein N is positive integer and N >=2；The quantity of mapping picture described in step 4 is M width, wherein M
For positive integer and M≤N.
A kind of method for building up of above-mentioned mineral standard entropy color database, it is characterized in that：M=N；Chemical element is carried out in step 4
When EDS maps are scanned, the mapping picture of all chemical elements on the scanning plane to be analyzed is obtained.
A kind of method for building up of above-mentioned mineral standard entropy color database, it is characterized in that：M=7,7 kinds of chemical elements be respectively Ca,
K, Al, Si, Fe, Mg and Na element；When the scanning of chemical element EDS maps is carried out in step 4, obtain on the scanning plane to be analyzed
The mapping picture of contained Ca, K, Al, Si, Fe, Mg and Na element, and the quantity of obtained mapping picture is 7 width.
A kind of method for building up of above-mentioned mineral standard entropy color database, it is characterized in that：Chemical element described in step 601 is coloured
The colouring information of each chemical element is that the mapping picture of the chemical element adds the rgb value of color in database.
A kind of method for building up of above-mentioned mineral standard entropy color database, it is characterized in that：The cross section of sample described in step one
For circular or square, the perpendicular laying of central axis of the scanning plane to be analyzed and the sample.
The present invention has advantages below compared with prior art：
1st, method and step is simple, reasonable in design and realizes that conveniently, input cost is relatively low.
2nd, required time is short, can easy, the quick reference colour data for obtaining multi mineral.
3rd, operability and technical difficulty is low, using the SEM with energy spectrum analysis and image processing equipment phase
Cooperation can complete to build storehouse process.
4th, the mineral standard entropy color database using effect set up is good and practical value is high, and standard is provided for mineral type identification
True foundation.Also, when carrying out mineral constituent identification using the mineral standard entropy color database set up, recognition methods step is simple,
Conveniently, input cost is relatively low for reasonable in design and realization, while identification is quick, operation difficulty is low, labor intensity is low, at image
Reason equipment just can be automatically performed mineral type identification process, can complete multiple ore deposits on scanning plane within more than ten minutes even a few minutes
The mineral type identification process of composition granule, thus energy is easy, the quick mineral constituent to the soil body is accurately identified.
In summary, the inventive method step is simple, reasonable in design and realization is convenient, required time is short, using effect is good,
Accurately identified using the mineral standard entropy color database energy simplicity, the quick mineral constituent to the soil body set up.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Fig. 1 is method flow block diagram of the invention.
Fig. 2 is the electron-microscope scanning image of the scanning plane to be analyzed obtained using the present invention.
Fig. 3 is using image after the superposition of the invention obtained.
Fig. 4 is to use the present invention to be carried out to being numbered in image after superposition for 003 image-region after color average treatment
Image.
Fig. 5 is to use the present invention to be carried out to being numbered in image after superposition for 009 image-region after color average treatment
Image.
Embodiment
In a kind of method for building up of mineral standard entropy color database as shown in Figure 1, the mineral standard entropy color database set up
Reference colour data (a comprising mineral known to a variety of different types and mineral constituentMark, bMark)；To the mineral standard entropy color database
When being set up, the mark for obtaining multi mineral is engaged with image processing equipment using the SEM with energy spectrum analysis
Quasi- chromatic number is according to (aMark, bMark), and in the mineral standard entropy color database each mineral reference colour data (aMark, bMark) acquisition methods it is equal
It is identical；To the reference colour data (a of any mineralMark, bMark) when being obtained, process is as follows：
Step 1: sample is obtained：The internal sample containing current institute's assaying is obtained, and acquired sample is beaten
Mill and polishing, obtain a scanning plane；Obtained scanning plane is scanning plane to be analyzed, and the scanning plane to be analyzed is plane
And contain the mineral grain of current institute's assaying thereon；
Step 2: particle to be analyzed is chosen：Described in step one on scanning plane to be analyzed, choose one and currently analyzed
The mineral grain of mineral is used as particle to be analyzed；
Step 3: Surface scan：Using the SEM with energy spectrum analysis, to scanning to be analyzed described in step one
Face is scanned, and obtains the electron-microscope scanning image of the scanning plane to be analyzed；
Step 4: chemical element EDS maps are scanned：Using the SEM with energy spectrum analysis to described to be analyzed
Scanning plane is scanned, and obtains the mapping picture of contained a variety of chemical elements on the scanning plane to be analyzed, the face point
The quantity of cloth image is several, and the mapping picture of each chemical element is the chemical element in the scanning plane to be analyzed
On mapping picture；
Wherein, the mapping picture of each chemical element, i.e., distribution of each chemical element on the scanning plane to be analyzed, its
Acquisition methods are the conventional surface analysis method of energy disperse spectroscopy, and mapping picture is also referred to as power spectrum mapping picture；
Step 5: image is transmitted：By the mapping of several in electron-microscope scanning image described in step 3 and step 4
Picture, is sent to image processing equipment；
Step 6: image procossing：Using described image processing equipment to the electron-microscope scanning received in step 5
Image and several described mapping pictures are handled, and obtain the reference colour data (a of current institute's assayingMark, bMark), process is such as
Under：
Step 601, EDS maps image colorant：According to the chemical element coloring data storehouse pre-established, image procossing is called
Software is coloured respectively to mapping picture several described；After coloring, the color of several mapping pictures is differed；
The chemical element coloring data storehouse includes the colouring information of a variety of chemical elements, and the face of a variety of chemical elements
Color information is differed；
Step 602, imaging importing：Described image is called to handle software, by face point described in each width after being coloured in step 601
Cloth image is superimposed upon on the electron-microscope scanning image, and image after being superimposed；
Step 603, region to be analyzed are chosen：Described image is called to handle software, after the superposition obtained in step 602
On image, choose the image-region residing for the particle to be analyzed and be used as region to be analyzed；
Step 604, chromatic value are calculated：First call described image to handle software, calculate in step 603 selected treat point
The color average value in region is analysed, the color average value calculated is Lab values；Afterwards, by the color average value calculated
A values and b values as the chromatic value in selected region to be analyzed, be denoted as (a, b)；
Step 7: step one is repeated several times to step 6, until obtaining ore deposit known to a variety of different types and mineral constituent
Reference colour data (a of thingMark, bMark)。
Lab values described in step 604 are the numerical value of Lab colour models, and Lab colour models are by brightness (L) and relevant
The a and b of color these three key elements composition, wherein L represent brightness (Luminosity), and a represents the scope from red to green, b
Represent the scope from yellow to blueness.A and b are two Color Channels.The color that a includes is from bottle green (low brightness values) to ash
Color (middle brightness value) is arrived bright pink (high luminance values) again；B be from sapphirine (bottom brightness value) to grey (middle brightness value) again to
Yellow (high luminance values).
Before carrying out sample acquisition in the present embodiment, in step one, when being determined to the type of current institute's assaying,
It can carry out being determined by the way of spot scan using SEM of the band with energy spectrum analysis, power spectrum is obtained by spot scan
Figure；Afterwards, according to energy spectrum diagram, energy spectrum analysis is carried out, and according to EDAX results, to the mineral substance of mineral grain at scanning element
Type is determined.After the mineral type of mineral grain is determined at point to be scanned, the mineral just for type is known or mineral constituent
The mineral known.
When actual use, it would however also be possible to employ other conventional mineral type recognition methods, the type to mineral is determined.
In the present embodiment, the cross section of sample described in step one is circular or square, the scanning plane to be analyzed and institute
State the perpendicular laying of central axis of sample.
In actual use, can according to specific needs, the shape and size to the sample are adjusted.
When reality is obtained to the sample, according to Application No. CN201410609330.0 and entitled " one
Soil sample acquisition methods disclosed in the application for a patent for invention file of kind Soil Microstructure three-dimensional rebuilding method ", obtain described
Sample.
In the present embodiment, electron-microscope scanning image described in step 3 is EDS maps described in each width in gray level image, step 4
The picture size and resolution ratio of image are identical with electron-microscope scanning image described in step 3.
In actual mechanical process, contain N kind chemical elements described in step one on scanning plane to be analyzed, wherein N is just whole
Number and N >=2；The quantity of mapping picture described in step 4 is M width, and wherein M is positive integer and M≤N.
Accurate, the M=N for identification；When the scanning of chemical element EDS maps is carried out in step 4, the scanning plane to be analyzed is obtained
The mapping picture of upper all chemical elements.
In the present embodiment, for reduce data processing amount, M=7,7 kinds of chemical elements be respectively Ca, K, Al, Si, Fe, Mg and
Na elements；When the scanning of chemical element EDS maps is carried out in step 4, obtain contained Ca on the scanning plane to be analyzed, K, Al, Si,
The mapping picture of Fe, Mg and Na element, and the quantity of obtained mapping picture is 7 width.
In the present embodiment, the colouring information of each chemical element is in the storehouse of chemical element coloring data described in step 601
The mapping picture of the chemical element adds the rgb value of color.
Also, the colouring information of above-mentioned 7 kinds of chemical elements, refers to table 1：
17 kinds of chemical element colouring information lists of table
| Chemical element | Color | R | G | B |
| Al | True yellow | 255 | 255 | 0 |
| Ca | DarkVoilet | 148 | 0 | 211 |
| K | It is pure green | 0 | 255 | 0 |
| Fe | Ethereal blue | 0 | 0 | 255 |
| Mg | Saddle brown | 139 | 69 | 19 |
| Si | Emerald color | 64 | 224 | 208 |
| Na | It is pure red | 255 | 0 | 0 |
When actual use, the colouring information of above-mentioned 7 kinds of chemical elements can be adjusted according to specific needs, that is,
Say, adding color to the mapping pictures of above-mentioned 7 kinds of chemical elements is adjusted.
In the present embodiment, the SEM with energy spectrum analysis is SEM-EDX in step 3 and step 4, wherein
SEM is SEM, and EDX is X-ray energy dispersive spectrometer.
In the present embodiment, described image processing software is Photoshop image processing software softwares.When actual use,
Other types of image processing software, such as Ulead GIF Animator, gif movie gear etc. can be used.
In the present embodiment, the electron-microscope scanning image obtained in step 3 refers to Fig. 2.Wrapped on the scanning plane to be analyzed
Containing multiple sweep objects, the sweep object is mineral grain or hole.In Fig. 2, multiple ore deposits on scanning plane to be analyzed are labeled with
Image-region residing for composition granule, and each image-region is labeled with the numbering that is made up of three numerals, such as 002,003,
005th, 009,010 etc..Wherein, the mineral grain for the image-region that numbering is 003 is quartz, the image-region ore deposit that numbering is 009
Composition granule is calcite.That is, known to the mineral constituent of the mineral grain for the image-region that numbering is 003 and 009.
In the present embodiment, image after the superposition obtained in step 602, it is a coloured silk to refer to image after Fig. 3, and the superposition
Color image.Also, the color of the image-region after the superposition in image residing for each mineral grain is by base map color and element
Color is constituted, and wherein base map color is the color of the electron-microscope scanning image obtained in step 3, and element color is is superimposed upon
State the color of mapping picture described in each width on electron-microscope scanning image.
Also, according to the method described in step 604, the color for calculating the image-region that numbering is 003 and 009 is put down
Average, and the color for numbering the image-region for being 003 and 009 is adjusted (to enter according to the color average value calculated
Row color average treatment), the image-region that the numbering after adjustment is 003 and 009 refers to Fig. 4 and Fig. 5.So, by calculating color
Color average value, and the color of image in selected region to be analyzed is adjusted according to the color average value calculated, just can
The color of image for representing the type mineral is obtained, the color of image for representing quartz and calcite can be obtained.Wherein, numbering is
Chromatic value (a of 003 image-region, b) it is (14, -14), the chromatic value (a for the image-region that numbering is 009, b) for (-
23,0).
In actual use, when carrying out mineral constituent identification using the mineral standard entropy color database set up, including with
Lower step：
Step I, soil sample are obtained：Soil sample to be identified is obtained, and to needing to carry out mineral constituent identification in the soil sample to be identified
Position carry out grinding and buffing processing, obtain scanning plane；The scanning plane to be identified is plane and contains multiple mineral thereon
Particle, and the scanning plane to be identified is scanning plane to be identified.
Step II, Surface scan：Using the SEM with energy spectrum analysis, to scanning to be identified described in step I
Face is scanned, and obtains the electron-microscope scanning image of the scanning plane to be identified.
Step III, the scanning of chemical element EDS maps：Using the SEM with energy spectrum analysis to described to be identified
Scanning plane is scanned, and obtains the mapping picture of contained a variety of chemical elements on the scanning plane to be identified, the face point
The quantity of cloth image is several, and the mapping picture of each chemical element is the chemical element in the scanning plane to be identified
On mapping picture.
When the scanning of chemical element EDS maps is carried out in the present embodiment, in step III, institute on the scanning plane to be identified is obtained
Mapping picture containing Ca, K, Al, Si, Fe, Mg and Na element, and the quantity of obtained mapping picture is 7 width.
In actual use, it is accurate for identification, can also be to obtaining contained all chemistry on the scanning plane to be identified
The mapping picture of element
Step IV, image transmission：By the mapping of several in electron-microscope scanning image described in step II and step III
Picture, is sent to described image processing equipment.
Step IV, the mineral constituent identification based on image procossing：Using described image processing equipment, to be identified swept to described
Retouch mineral constituent contained on face to be identified, process is as follows：
Step 501, EDS maps image colorant：According to the chemical element coloring data storehouse pre-established, calling figure picture
Software is handled, several described mapping pictures obtained in step III are coloured respectively.
Step 502, imaging importing：Described image is called to handle software, by face point described in each width after being coloured in step 501
Cloth image is superimposed upon on the electron-microscope scanning image obtained in step II, and image after being superimposed, after the superposition
Image is mineral constituent identification image.
Step 503, mineral constituent identification：With reference to the mineral standard entropy color database, to being needed on the scanning plane to be identified
The mineral type of one or more mineral grains of identification is identified respectively, the recognition methods of the mineral type of each mineral grain
All same；When the mineral type of any one mineral grain on the scanning plane to be identified is identified, process is as follows：
Step 5031, region to be identified are chosen：Described image is called to handle software, what is obtained in step 502 is described
Region to be identified is chosen after superposition on image；The region to be identified is mineral grain institute to be identified on the scanning plane to be identified
The image-region at place；
Step 5032, chromatic value are calculated：First call described image to handle software, calculate selected in step 5031 treat
The color average value of identification region, the color average value calculated is Lab values；Afterwards, by the color average value calculated
In a values and b values as the chromatic value in selected region to be identified, be denoted as (a, b)；
Step 5033, chromatic value mathematic interpolation and mineral type identification：To each mineral in the mineral standard entropy color database
Reference colour data (aMark, bMark) with step 5032 described in chromatic value (a, b) between chromatic value difference DELTA E carry out respectively
Calculate, and according to the chromatic value difference DELTA E calculated, the mineral type of mineral grain in selected region to be identified is carried out
Identification, and the mineral type of mineral grain is the mineral standard entropy color database Plays chromatic number evidence in selected region to be identified
(aMark, bMark) and chromatic value (a, b) between the minimum mineral of chromatic value difference DELTA E；That is, selected region to be identified
The mineral type of interior mineral grain is the mineral standard entropy color database Plays chromatic number according to (aMark, bMark) and chromatic value (a, b)
Between chromatic value difference DELTA E it is minimum mineral facies it is same；
To the reference colour data (a of each mineral in mineral standard entropy color databaseMark, bMark) and chromatic value (a, b) and between
When chromatic value difference DELTA E is calculated, according to formula(1) calculated.
The mineral type of mineral grain is the mineral standard entropy color database in selected region to be identified in step 5033
Plays chromatic number is according to (aMark, bMark) and chromatic value (a, b) between chromatic value difference DELTA E it is minimum and chromatic value difference DELTA E is less than ε
Mineral, ε compares threshold value and ε=2~3.5 to be set in advance.In the present embodiment, ε=3., can be according to specific when actual use
Need, the value size to ε is adjusted.
In the present embodiment, electron-microscope scanning image described in step II is EDS maps described in each width in gray level image, step III
The picture size and resolution ratio of image are identical with electron-microscope scanning image described in step II.
In the present embodiment, multiple sweep objects are included described in step I on scanning plane to be identified, the sweep object is ore deposit
Composition granule or hole；Mineral constituent identification is carried out in step 503, to the mineral of all mineral grains on the scanning plane to be identified
Type is identified respectively；After the mineral type of all mineral grains on the scanning plane to be identified is recognized, complete described
The identification process of contained mineral constituent on scanning plane to be identified.
It is described above, only it is presently preferred embodiments of the present invention, not the present invention is imposed any restrictions, it is every according to the present invention
Any simple modification, change and equivalent structure change that technical spirit is made to above example, still fall within skill of the present invention
In the protection domain of art scheme.
Claims (7)
1. a kind of method for building up of mineral standard entropy color database, it is characterised in that：Wrapped in the mineral standard entropy color database set up
Reference colour data (a containing mineral known to a variety of different types and mineral constituentMark, bMark)；The mineral standard entropy color database is entered
When row is set up, the standard for obtaining multi mineral is engaged with image processing equipment using the SEM with energy spectrum analysis
Chromatic number is according to (aMark, bMark), and in the mineral standard entropy color database each mineral reference colour data (aMark, bMark) acquisition methods it is homogeneous
Together；To the reference colour data (a of any mineralMark, bMark) when being obtained, process is as follows：
Step 1: sample is obtained：Obtain the internal sample for containing current institute's assaying, and acquired sample is carried out polishing and
Polishing, obtains a scanning plane；Obtained scanning plane be scanning plane to be analyzed, the scanning plane to be analyzed be plane and its
The upper mineral grain containing current institute's assaying；
Step 2: particle to be analyzed is chosen：Described in step one on scanning plane to be analyzed, a current institute assaying is chosen
Mineral grain be used as particle to be analyzed；
Step 3: Surface scan：Using the SEM with energy spectrum analysis, scanning plane to be analyzed described in step one is entered
Row scanning, obtains the electron-microscope scanning image of the scanning plane to be analyzed；
Step 4: chemical element EDS maps are scanned：Using the SEM with energy spectrum analysis to the scanning to be analyzed
Face is scanned, and obtains the mapping picture of contained a variety of chemical elements on the scanning plane to be analyzed, the mapping
The quantity of picture is several, and the mapping of each chemical element is as being the chemical element on the scanning plane to be analyzed
Mapping picture；
Step 5: image is transmitted：By the mapping picture of several in electron-microscope scanning image described in step 3 and step 4,
It is sent to image processing equipment；
Step 6: image procossing：Using described image processing equipment to the electron-microscope scanning image received in step 5
Handled with mapping picture several described, obtain the reference colour data (a of current institute's assayingMark, bMark), process is as follows：
Step 601, EDS maps image colorant：According to the chemical element coloring data storehouse pre-established, image processing software is called
Mapping picture several described is coloured respectively；After coloring, the color of several mapping pictures is differed；
The chemical element coloring data storehouse includes the colouring information of a variety of chemical elements, and the color letter of a variety of chemical elements
Breath is differed；
Step 602, imaging importing：Described image is called to handle software, by mapping described in each width after being coloured in step 601
As being superimposed upon on the electron-microscope scanning image, and image after being superimposed；
Step 603, region to be analyzed are chosen：Described image is called to handle software, image after the superposition obtained in step 602
On, choose the image-region residing for the particle to be analyzed and be used as region to be analyzed；
Step 604, chromatic value are calculated：First call described image to handle software, calculate selected area to be analyzed in step 603
The color average value in domain, the color average value calculated is Lab values；Afterwards, by a values in the color average value calculated
With chromatic value of the b values as selected region to be analyzed, (a is denoted as , b )；
Step 7: step one is repeated several times to step 6, until obtaining mineral known to a variety of different types and mineral constituent
Reference colour data (aMark, bMark)。
2. according to a kind of method for building up of mineral standard entropy color database described in claim 1, it is characterised in that：Institute in step 3
Electron-microscope scanning image is stated for gray level image, the picture size and resolution ratio of mapping picture described in each width is and step in step 4
Electron-microscope scanning image described in three is identical.
3. according to a kind of method for building up of mineral standard entropy color database described in claim 1 or 2, it is characterised in that：Step one
Described in contain N kind chemical elements on scanning plane to be analyzed, wherein N is positive integer and N >=2；Mapping described in step 4
The quantity of picture is M width, and wherein M is positive integer and M≤N.
4. according to a kind of method for building up of mineral standard entropy color database described in claim 3, it is characterised in that：M=N；Step
When the scanning of chemical element EDS maps is carried out in four, the mapping picture of all chemical elements on the scanning plane to be analyzed is obtained.
5. according to a kind of method for building up of mineral standard entropy color database described in claim 3, it is characterised in that：M=7,7 kinds of changes
It is respectively Ca, K, Al, Si, Fe, Mg and Na element to learn element；When the scanning of chemical element EDS maps is carried out in step 4, institute is obtained
State on scanning plane to be analyzed the mapping picture of contained Ca, K, Al, Si, Fe, Mg and Na element, and obtained mapping as
Quantity is 7 width.
6. according to a kind of method for building up of mineral standard entropy color database described in claim 1 or 2, it is characterised in that：Step 601
Described in chemical element coloring data storehouse the colouring information of each chemical element be that the mapping picture of the chemical element is added
Plus the rgb value of color.
7. according to a kind of method for building up of mineral standard entropy color database described in claim 1 or 2, it is characterised in that：Step one
Described in sample cross section to be circular or square, the perpendicular cloth of central axis of the scanning plane to be analyzed and the sample
If.
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