CN108875832A - A kind of colorimetric analysis system - Google Patents
A kind of colorimetric analysis system Download PDFInfo
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- CN108875832A CN108875832A CN201810650924.4A CN201810650924A CN108875832A CN 108875832 A CN108875832 A CN 108875832A CN 201810650924 A CN201810650924 A CN 201810650924A CN 108875832 A CN108875832 A CN 108875832A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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Abstract
This application provides a kind of colorimetric analysis systems, including Analysis server, the Analysis server includes, identification module and colorimetric analysis module, identification module shoots the model of the terminal device of picture to be measured according to picture recognition to be measured as target model out, and obtain the standard test picture database shot using the terminal device of target model, colorimetric analysis module compares picture and standard test picture database to be measured, colorimetric analysis is obtained as a result, Analysis server sends the colorimetric analysis result to terminal device.The model for shooting the terminal device of picture to be measured can be identified by implementing the embodiment of the present application, guarantee the correctness of colorimetric analysis result.
Description
Technical field
The application belongs to colorimetric analysis field, and in particular to a kind of colorimetric analysis system.
Background technique
Colorimetric method be by comparing or measurement coloring matter solution colour depth come the method that determines constituent content to be measured, one
As include two steps：It is selection colour reagent appropriate and component reaction to be measured first, forms colored compound, then compare again
Compared with or measurement colored compound color depth.
Colorimetric method has preferable application at many aspects, and popularity rate is extensive at present for terminal device (e.g., mobile phone etc.).Cause
This, the picture of the color of solution to be measured is acquired using terminal device, and is uploaded to after server carries out analysis comparison, is analyzed
As a result method is able to carry out accurate, quick, easy colorimetric analysis.
But different model terminal device is multifarious to the processing of shooting picture on the market, this is to solution to be measured on picture
Color presentation can generate certain influence, not can guarantee the correctness of the analysis result of colorimetric method.
Summary of the invention
The purpose of the application is to provide a kind of colorimetric analysis system, can identify the terminal device for shooting picture to be measured
Model guarantees the correctness of colorimetric analysis result.
To realize above-mentioned application purpose, the application the technical scheme adopted is that a kind of colorimetric analysis system, including：To
Survey slide glass, terminal device and Analysis server；It include calibration region and region to be measured on the slide glass to be measured, the calibration areas
Standard color block is set on domain, and the region to be measured is for placing solution to be measured or being soaked with the test paper of solution to be measured；The terminal is set
It is ready for use on and shoots the one side that the slide glass to be measured is provided with the calibration region and the region to be measured, obtain picture to be measured, and
The picture to be measured is sent to Analysis server；The Analysis server includes identification module and colorimetric analysis module, described
Identification module goes out the model of the terminal device as target model according to the picture recognition to be measured, and obtains and use the mesh
The standard test picture database of the terminal device shooting of model is marked, the colorimetric analysis module compares the picture to be measured and institute
Standard test picture database is stated, obtains colorimetric analysis as a result, the Analysis server sends the colorimetric analysis result to institute
State terminal device.
Optionally, the identification module includes support vector machines (SVM), terminal of the support vector machines to different model
Standard test picture captured by equipment carries out Supervised classification training, obtains the first training pattern；The support vector machines connects
After receiving the picture to be measured, the target model is identified according to first training pattern.
Optionally, the identification module shoots the terminal device of the picture to be measured according to the picture recognition to be measured out
Model is as target model, and identifies that the environment illumination intensity for shooting the picture to be measured is strong as target environment illumination
Degree, and obtain the standard test picture shot under the target environment intensity of illumination using the terminal device of the target model
Database.
Optionally, the identification module includes support vector machines (SVM), terminal of the support vector machines to different model
Equipment standard test picture captured under varying environment intensity of illumination carries out Supervised classification training, obtains the second training mould
Type；After the support vector machines receives the picture to be measured, the target model is identified according to second training pattern
And the target environment intensity of illumination.
Optionally, the identification module shoots the terminal device of the picture to be measured according to the picture recognition to be measured out
Model identifies as target model and shoots the environment illumination intensity of the picture to be measured as target environment intensity of illumination, with
And identify that the production batch of the slide glass to be measured as target production batch, and is obtained and set using the terminal of the target model
The standby standard test carried out on the slide glass to be measured of the target production batch shot under the target environment intensity of illumination
Picture database.
Optionally, the slide glass to be measured further includes identification region, is provided in the identification region and carries the load to be measured
The production information identification module of piece production batch；
The identification module includes support vector machines (SVM), and the support vector machines exists to the terminal device of different model
There is the captured standard test picture carried out on the slide glass to be measured of different production batch under varying environment intensity of illumination
Supervised classification training, obtains third training pattern；After the support vector machines receives the picture to be measured, according to the third
Training pattern identifies the target model, the target environment intensity of illumination and the target production batch.
Optionally, the production information identification module includes：Bar code, two dimensional code, electronic tag, IC chip at least one
Kind.
The application has the advantages that：Analysis server includes identification module, and the identification module is according to picture to be measured
Can recognize that the model of terminal device as target model, and obtain using target model terminal device shoot standard test
Picture database.It therefore, can be according to the standard area of the slide glass to be measured on picture after Analysis server receives picture to be measured
Judge to shoot the terminal device model of picture to be measured with the color regime in region to be measured, and compares the terminal using target model
The standard test picture database and picture to be measured of equipment shooting, obtain colorimetric analysis result.
Such colorimetric analysis is as a result, avoid different terminal equipment to shooting picture Different treatments comparison colour analysis
Bring influences, and ensure that the correctness of colorimetric analysis result.
Detailed description of the invention
Fig. 1 is the schematic diagram of colorimetric analysis system disclosed in the application first embodiment；
Fig. 2 is a kind of flow diagram of colorimetric analysis disclosed in the application first embodiment；
Fig. 3 is a kind of flow diagram of colorimetric analysis disclosed in the application second embodiment.
Specific embodiment
As shown in FIG. 1, FIG. 1 is the schematic diagrames of colorimetric analysis system disclosed in the application first embodiment.The of the application
One embodiment discloses a kind of colorimetric analysis system 100, which includes：Slide glass 11 to be measured, terminal device 12, and analysis
Server 13；
It include calibration region 111 and region to be measured 112 on above-mentioned slide glass to be measured 11,111 setting reference colour in calibration region
Block, region 112 to be measured is for placing solution to be measured or being soaked with the test paper of solution to be measured；
Above-mentioned terminal device 12 obtains to be measured for shooting the one side that slide glass to be measured is provided with calibration region and region to be measured
Picture, and the picture to be measured is sent to Analysis server 13；
Above-mentioned Analysis server 13 includes identification module 131 and colorimetric analysis module 132, the identification module 131 according to
Mapping piece identify the model of terminal device as target model, and obtain using target model terminal device shoot standard
Picture database is tested, colorimetric analysis module 132 compares picture and standard test picture database to be measured, obtains colorimetric analysis knot
Fruit, Analysis server 13 send colorimetric analysis result to terminal device 12.
In the present embodiment, above-mentioned solution to be measured is to carry out standard test reaction (such as：Routine urinalysis detection etc.) after solution.
In the present embodiment, include on above-mentioned picture to be measured standard color block on standard area redgreenblue value mark
Quasi- colouring information Rb, Gb, BbAnd the redgreenblue value of solution to be measured or the test paper for being soaked with solution to be measured on region to be measured
Colouring information R to be measuredc, Gc, Bc.Identification module can be according to the standard color information R on picture to be measuredb, Gb, BbWith region to be measured
On colouring information R to be measuredc, Gc, Bc, identify target model.
It is appreciated that Analysis server includes identification module, which can recognize that terminal is set according to picture to be measured
Standby model obtains the standard test picture database shot using the terminal device of target model as target model.Cause
It, can be according to the standard area of the slide glass to be measured on picture and the face in region to be measured after this Analysis server receives picture to be measured
Pornographic condition is judged to shoot the terminal device model of picture to be measured, and compares the standard shot using the terminal device of target model
Picture database and picture to be measured are tested, colorimetric analysis result is obtained.Such colorimetric analysis is set as a result, avoiding different terminals
It is standby that shooting picture Different treatments comparison colour analysis bring is influenced, it ensure that the correctness of colorimetric analysis result.
As an alternative embodiment, above-mentioned identification module includes support vector machines (SVM), support vector machines is not to
Standard test picture captured by terminal device with model carries out Supervised classification training, obtains the first training pattern；It supports
After vector machine receives the picture to be measured, target model is identified according to the first training pattern.
In the present embodiment, as shown in Fig. 2, Fig. 2 is a kind of stream of colorimetric analysis disclosed in the application first embodiment
Journey schematic diagram.Firstly, obtaining standard test figure with the slide glass to be measured after the terminal device shooting standard test reaction of different model
Piece collection；Then, handled to obtain the letter of the standard color on standard test picture Plays region to these standard test pictures
Cease Rb', Gb', Bb' and region to be measured on colouring information R to be measuredc', Gc', Bc'；Followed by support vector machines (SVM) to this
A little colouring informations carry out Supervised classification training, obtain training pattern Model1, and be stored in Analysis server；User uses
Terminal device shoots after obtaining picture to be measured slide glass to be measured, and the identification module in Analysis server can be according to picture to be measured
On colouring information and training pattern Model1, identification obtains the model of terminal device used by a user.In Analysis server
Colorimetric analysis module compare the standard test picture database of picture to be measured and model terminal device shooting, obtain colorimetric point
Analysis is as a result, Analysis server sends colorimetric analysis result to terminal device.
The second embodiment of the application discloses a kind of colorimetric analysis system, which includes：Slide glass to be measured, terminal are set
Standby and Analysis server；
Include calibration region and region to be measured on above-mentioned slide glass to be measured, standard color block, region to be measured are set in calibration region
For placing solution to be measured or being soaked with the test paper of solution to be measured；
Above-mentioned terminal device is obtained for shooting the one side that slide glass to be measured is provided with calibration region and region to be measured to mapping
Piece, and the picture to be measured is sent to Analysis server；
Above-mentioned Analysis server includes that identification module and colorimetric analysis module, the identification module is according to picture recognition to be measured
The model of the terminal device of picture to be measured is shot out as target model, and identifies that the ambient lighting for shooting picture to be measured is strong
Degree is used as target environment intensity of illumination, and obtains and shot under target environment intensity of illumination using the terminal device of target model
Standard test picture database, colorimetric analysis module compare picture and standard test picture database to be measured, obtain colorimetric analysis
As a result, Analysis server sends colorimetric analysis result to terminal device.
It is appreciated that different light environment (under the environment such as incandescent lamp, day turn off the light, cloudy day, sunlight) to it is captured to
The colouring information of mapping piece also has a great impact, and the identification module of Analysis server can be according to picture to be measured in the present embodiment
Colouring information identify the terminal device model and shooting environmental intensity of illumination for shooting picture to be measured, and obtain using target
The standard test picture database that the terminal device of model is shot under target environment intensity of illumination, the comparison of colorimetric analysis module make
The standard test picture database and picture to be measured shot under target environment intensity of illumination with the terminal device of target model, obtains
To colorimetric analysis result.Such colorimetric analysis as a result, avoid different terminal equipment to shooting picture Different treatments and
Environment illumination intensity comparison colour analysis bring when shooting influences, and ensure that the correctness of colorimetric analysis result.
As an alternative embodiment, identification module includes support vector machines (SVM), support vector machines is to different shaped
Number terminal device standard test picture captured under varying environment intensity of illumination carry out Supervised classification training, obtain the
Two training patterns；After support vector machines receives the picture to be measured, according to the second training pattern identify target model and
Target environment intensity of illumination.
In the present embodiment, as shown in figure 3, Fig. 3 is a kind of stream of colorimetric analysis disclosed in the application second embodiment
Journey schematic diagram.Firstly, shot under varying environment intensity of illumination with the terminal device of different model standard test reaction after to
Slide glass is surveyed, standard test pictures are obtained；Then, these standard test pictures are handled to obtain the acceptance of the bid of standard test picture
Standard color information R on quasi- regionb', Gb', Bb' and region to be measured on colouring information R to be measuredc', Gc', Bc'；Followed by
Support vector machines (SVM) carries out Supervised classification training to these colouring informations, obtains training pattern Model2, and be stored in point
It analyses in server；User's using terminal equipment shoots after obtaining picture to be measured slide glass to be measured, the knowledge in Analysis server
Other module can identify according to the colouring information and training pattern Model2 on picture to be measured and obtain terminal device used by a user
Model as target model, and environment illumination intensity when shooting picture to be measured is as target environment intensity of illumination.Analysis
Colorimetric analysis module in server compares picture and target model terminal device to be measured and shoots under target environment intensity of illumination
Standard test picture database, obtain colorimetric analysis as a result, Analysis server send colorimetric analysis result to terminal device.
The 3rd embodiment of the application discloses a kind of colorimetric analysis system, which includes：Slide glass to be measured, terminal are set
Standby and Analysis server；
Include calibration region and region to be measured on above-mentioned slide glass to be measured, standard color block, region to be measured are set in calibration region
For placing solution to be measured or being soaked with the test paper of solution to be measured；
Above-mentioned terminal device is obtained for shooting the one side that slide glass to be measured is provided with calibration region and region to be measured to mapping
Piece, and the picture to be measured is sent to Analysis server；
Above-mentioned Analysis server includes that identification module and colorimetric analysis module, the identification module is according to picture recognition to be measured
The model of the terminal device of picture to be measured is shot out as target model, identifies that the environment illumination intensity for shooting picture to be measured is made
For target environment intensity of illumination, and identify that the production batch of slide glass to be measured as target production batch, and is obtained using mesh
The mark carried out on the slide glass to be measured of target production batch that the terminal device of mark model is shot under target environment intensity of illumination
Quasi-experiment picture database.Colorimetric analysis module compares picture and standard test picture database to be measured, obtains colorimetric analysis knot
Fruit, Analysis server send colorimetric analysis result to terminal device.
In the present embodiment, the color of the standard color block of printing certainly exists error, due to printing technology, not equality of temperature
The factors such as humidity difference ink, the color actually printed out and color of object can always have a color difference, and different batches printing
There is also color difference, the color of the standard color block of same batch prints tends to guarantee preferable consistent the color of identical parameters
Property.
It is appreciated that Analysis server will not only identify the target model of terminal device, target environment in the present embodiment
Intensity of illumination will also identify the production batch of slide glass to be measured, and such colorimetric analysis is as a result, avoid different batches load to be measured
The printing error comparison colour analysis bring of on piece standard color block influences, to be further ensured that the correctness of colorimetric analysis result.
As an alternative embodiment, slide glass to be measured further includes identification region, be provided in identification region carrying to
Survey the production information identification module of slide glass production batch；Identification module includes support vector machines (SVM), and support vector machines is to difference
The terminal device of the model mark carried out on the slide glass to be measured of different production batch captured under varying environment intensity of illumination
Quasi-experiment picture carries out Supervised classification training, obtains third training pattern；After support vector machines receives the picture to be measured,
Target model, target environment intensity of illumination and target production batch are identified according to third training pattern.
As an alternative embodiment, production information identification module includes：Bar code, two dimensional code, electronic tag, IC
At least one of chip.
It is appreciated that identification module can be identified by the bar code or two dimensional code for carrying production lot information it is to be measured
The production batch of slide glass, to carry out colorimetric analysis.Such colorimetric analysis is as a result, avoid different batches slide glass subscript to be measured
The printing error comparison colour analysis bring of quasi- color lump influences, and ensure that the correctness of colorimetric analysis result.
It is the embodiment of the embodiment of the present application above, it is noted that those skilled in the art are come
It says, under the premise of not departing from the embodiment of the present application principle, several improvements and modifications can also be made, these improvements and modifications
It is considered as the protection scope of the application.
Claims (7)
1. a kind of colorimetric analysis system, which is characterized in that including：Slide glass to be measured, terminal device and Analysis server；
Include calibration region and region to be measured on the slide glass to be measured, standard color block is set in the calibration region, it is described to be measured
Region is for placing solution to be measured or being soaked with the test paper of solution to be measured；
The terminal device is obtained for shooting the one side that the slide glass to be measured is provided with the calibration region and the region to be measured
Picture to be measured is obtained, and the picture to be measured is sent to Analysis server；
The Analysis server includes identification module and colorimetric analysis module, and the identification module is known according to the picture to be measured
Not Chu the terminal device model as target model, and obtain using the target model terminal device shoot standard
Picture database is tested, the colorimetric analysis module compares the picture to be measured and the standard test picture database, obtains
Colorimetric analysis is as a result, the Analysis server sends the colorimetric analysis result to the terminal device.
2. colorimetric analysis system according to claim 1, which is characterized in that the identification module includes support vector machines
(SVM), standard test picture captured by terminal device of the support vector machines to different model carries out Supervised classification instruction
Practice, obtains the first training pattern；After the support vector machines receives the picture to be measured, known according to first training pattern
It Chu not the target model.
3. colorimetric analysis system according to claim 1, which is characterized in that the identification module is according to the picture to be measured
Identify that the model for shooting the terminal device of the picture to be measured as target model, and identifies the shooting picture to be measured
Environment illumination intensity as target environment intensity of illumination, and obtain terminal device using the target model in the target
The standard test picture database shot under environment illumination intensity.
4. colorimetric analysis system according to claim 3, which is characterized in that the identification module includes support vector machines
(SVM), the support vector machines standard test captured under varying environment intensity of illumination to the terminal device of different model
Picture carries out Supervised classification training, obtains the second training pattern；After the support vector machines receives the picture to be measured, root
The target model and the target environment intensity of illumination are identified according to second training pattern.
5. colorimetric analysis system according to claim 1, which is characterized in that the identification module is according to the picture to be measured
Identify that the model for shooting the terminal device of the picture to be measured as target model, identifies the ring for shooting the picture to be measured
Border intensity of illumination is as target environment intensity of illumination, and identifies the production batch of the slide glass to be measured as target production batch
It is secondary, and obtain and given birth to using what the terminal device of the target model was shot under the target environment intensity of illumination in the target
Produce the standard test picture database carried out on the slide glass to be measured of batch.
6. colorimetric analysis system according to claim 5, which is characterized in that the slide glass to be measured further includes identification region,
The production information identification module for carrying the slide glass production batch to be measured is provided in the identification region；
The identification module includes support vector machines (SVM), and the support vector machines is to the terminal device of different model in difference
The captured standard test picture carried out on the slide glass to be measured of different production batch has carried out supervision under environment illumination intensity
Classification based training obtains third training pattern；After the support vector machines receives the picture to be measured, according to third training
Model identifies the target model, the target environment intensity of illumination and the target production batch.
7. colorimetric analysis system according to claim 6, which is characterized in that the production information identification module includes：Item
Shape code, two dimensional code, electronic tag, IC chip at least one.
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| CN201810650924.4A CN108875832A (en) | 2018-06-22 | 2018-06-22 | A kind of colorimetric analysis system |
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| CN201810650924.4A CN108875832A (en) | 2018-06-22 | 2018-06-22 | A kind of colorimetric analysis system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021218156A1 (en) * | 2020-04-26 | 2021-11-04 | 杭州小肤科技有限公司 | Color matching method and apparatus combining two-dimensional code with color matching card, and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160048739A1 (en) * | 2014-08-15 | 2016-02-18 | Scanadu Incorporated | Precision luxmeter methods for digital cameras to quantify colors in uncontrolled lighting environments |
| CN105488529A (en) * | 2015-11-26 | 2016-04-13 | 国网北京市电力公司 | Identification method and apparatus for source camera model of picture |
| CN105631473A (en) * | 2015-12-24 | 2016-06-01 | 大连理工大学 | Camera source identification method in finite labeled sample condition |
| CN105787508A (en) * | 2016-02-22 | 2016-07-20 | 青岛大学 | Textile color identification method and system |
| CN106546581A (en) * | 2016-11-02 | 2017-03-29 | 长沙云知检信息科技有限公司 | Detection paper card intelligent checking system and detection paper card intelligent analysis method |
| CN106680478A (en) * | 2017-02-24 | 2017-05-17 | 成都微瑞生物科技有限公司 | Gold labeled detection system and method based on cloud platform |
-
2018
- 2018-06-22 CN CN201810650924.4A patent/CN108875832A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160048739A1 (en) * | 2014-08-15 | 2016-02-18 | Scanadu Incorporated | Precision luxmeter methods for digital cameras to quantify colors in uncontrolled lighting environments |
| CN105488529A (en) * | 2015-11-26 | 2016-04-13 | 国网北京市电力公司 | Identification method and apparatus for source camera model of picture |
| CN105631473A (en) * | 2015-12-24 | 2016-06-01 | 大连理工大学 | Camera source identification method in finite labeled sample condition |
| CN105787508A (en) * | 2016-02-22 | 2016-07-20 | 青岛大学 | Textile color identification method and system |
| CN106546581A (en) * | 2016-11-02 | 2017-03-29 | 长沙云知检信息科技有限公司 | Detection paper card intelligent checking system and detection paper card intelligent analysis method |
| CN106680478A (en) * | 2017-02-24 | 2017-05-17 | 成都微瑞生物科技有限公司 | Gold labeled detection system and method based on cloud platform |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021218156A1 (en) * | 2020-04-26 | 2021-11-04 | 杭州小肤科技有限公司 | Color matching method and apparatus combining two-dimensional code with color matching card, and medium |
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Application publication date: 20181123 |