CN109001191A - A kind of sxemiquantitative recognition methods of external diagnosis reagent and device - Google Patents
A kind of sxemiquantitative recognition methods of external diagnosis reagent and device Download PDFInfo
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- CN109001191A CN109001191A CN201810573776.0A CN201810573776A CN109001191A CN 109001191 A CN109001191 A CN 109001191A CN 201810573776 A CN201810573776 A CN 201810573776A CN 109001191 A CN109001191 A CN 109001191A
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
- G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
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Abstract
The embodiment of the present invention provides sxemiquantitative recognition methods and the device of a kind of external diagnosis reagent, which comprises obtains the image for being mounted with the container of external diagnosis reagent reaction solution;Described image is converted into HSV color space image;Color development area range is determined in the HSV color space image;The pixel of the color development area range is clustered, to obtain kernel pixels point;The cross-correlation coefficient between the kernel pixels point and default detection benchmark is calculated, the external diagnosis reagent is identified according to calculated result sxemiquantitative.Described device executes the above method.The sxemiquantitative recognition methods of external diagnosis reagent provided in an embodiment of the present invention and device can carry out sxemiquantitative identification to external diagnosis reagent, to improve popularization of the vitro diagnostic techniques in general population.
Description
Technical field
The present embodiments relate to image identification technical fields, and in particular to a kind of sxemiquantitative identification of external diagnosis reagent
Method and device.
Background technique
External diagnosis reagent can be used alone or use with instrument, utensil, equipment or system in combination, can specifically include body
Reagent, kit, calibration object (object), quality-control product (object) of outer detection etc., are widely applied.
Existing external diagnosis reagent needs in certain circumstances and relies on professional and professional equipment just get
The recognition result of external diagnosis reagent, such as: detection device is all based on greatly single point detector, need to completely cut off extraneous light environment with
Ensure to judge by accident, a small number of detection devices based on camera also must could be under particular optical lighting environment in darkroom
Row identification.This recognition methods is seriously limited by professional, professional equipment and specific environment, hinders vitro diagnostic techniques and exists
Universal and application in general population.
Therefore, how to avoid drawbacks described above, can carry out sxemiquantitative identification to external diagnosis reagent, to improve external
Popularization of the diagnostic techniques in general population, becoming need solve the problems, such as.
Summary of the invention
In view of the problems of the existing technology, the embodiment of the present invention provides a kind of sxemiquantitative identification side of external diagnosis reagent
Method and device.
In a first aspect, the embodiment of the present invention provides a kind of sxemiquantitative recognition methods of external diagnosis reagent, the method packet
It includes:
Obtain the image for being mounted with the container of external diagnosis reagent reaction solution;
Described image is converted into HSV color space image;
Color development area range is determined in the HSV color space image;The pixel of the color development area range is clicked through
Row cluster, to obtain kernel pixels point;
The cross-correlation coefficient between the kernel pixels point and default detection benchmark is calculated, is known according to calculated result sxemiquantitative
The not described external diagnosis reagent.
Second aspect, the embodiment of the present invention provide a kind of sxemiquantitative identification device of external diagnosis reagent, described device packet
It includes:
Acquiring unit, for obtaining the image for being mounted with the container of external diagnosis reagent reaction solution;
Converting unit, for described image to be converted to HSV color space image;
Determination unit, for determining color development area range in the HSV color space image;To the color development area model
The pixel enclosed is clustered, to obtain kernel pixels point;
Recognition unit, for calculating the cross-correlation coefficient between the kernel pixels point and default detection benchmark, according to meter
It calculates result sxemiquantitative and identifies the external diagnosis reagent.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, comprising: processor, memory and bus, wherein
The processor and the memory complete mutual communication by the bus;
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to refer to
Order is able to carry out following method:
Obtain the image for being mounted with the container of external diagnosis reagent reaction solution;
Described image is converted into HSV color space image;
Color development area range is determined in the HSV color space image;The pixel of the color development area range is clicked through
Row cluster, to obtain kernel pixels point;
The cross-correlation coefficient between the kernel pixels point and default detection benchmark is calculated, is known according to calculated result sxemiquantitative
The not described external diagnosis reagent.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, comprising:
The non-transient computer readable storage medium stores computer instruction, and the computer instruction makes the computer
Execute following method:
Obtain the image for being mounted with the container of external diagnosis reagent reaction solution;
Described image is converted into HSV color space image;
Color development area range is determined in the HSV color space image;The pixel of the color development area range is clicked through
Row cluster, to obtain kernel pixels point;
The cross-correlation coefficient between the kernel pixels point and default detection benchmark is calculated, is known according to calculated result sxemiquantitative
The not described external diagnosis reagent.
The sxemiquantitative recognition methods of external diagnosis reagent provided in an embodiment of the present invention and device, by after conversion
Color development area range is determined in HSV color space image, calculates the kernel pixels point and default detection benchmark of color development area range
Between cross-correlation coefficient, and according to calculated result sxemiquantitative identify external diagnosis reagent, external diagnosis reagent can be carried out
Sxemiquantitative identification, to improve popularization of the vitro diagnostic techniques in general population.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the sxemiquantitative recognition methods flow diagram of external diagnosis reagent of the embodiment of the present invention;
Fig. 2 is the screenshot for the container that the embodiment of the present invention is mounted with external diagnosis reagent reaction solution;
Fig. 3 is the screenshot of the HSV color space image after conversion of the embodiment of the present invention;
Fig. 4 is the screenshot of color development area of embodiment of the present invention range;
Fig. 5 is the screenshot of the corresponding semidefinite magnitude of the default detection benchmark of the embodiment of the present invention;
Fig. 6 is the sxemiquantitative identification device structural schematic diagram of external diagnosis reagent of the embodiment of the present invention;
Fig. 7 is electronic equipment entity structure schematic diagram provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is the sxemiquantitative recognition methods flow diagram of external diagnosis reagent of the embodiment of the present invention, as shown in Figure 1, this
A kind of sxemiquantitative recognition methods for external diagnosis reagent that inventive embodiments provide, comprising the following steps:
S101: the image for being mounted with the container of external diagnosis reagent reaction solution is obtained.
Specifically, device obtains the image for being mounted with the container of external diagnosis reagent reaction solution.Image can pass through hand
Machine is taken pictures or other modes obtain, and is not especially limited.External diagnosis reagent can be using chemical staining method acquisition, no
Make specific limit.The configuration method of external diagnosis reagent reaction solution is this field mature technology, is repeated no more.Container can wrap
Glassware is included, is not especially limited.Fig. 2 is cutting for the container that the embodiment of the present invention is mounted with external diagnosis reagent reaction solution
Figure, as shown in Fig. 2, the container in Fig. 2 is glassware.
S102: described image is converted into HSV color space image.
Specifically, described image is converted to HSV color space image by device.Institute can be extracted using Boundary extracting algorithm
State longitudinal edge.HSV (Hue, Saturation, Value) is i.e.: color, saturation degree, numerical value.Fig. 3 is conversion of the embodiment of the present invention
The screenshot of HSV color space image afterwards.It should be understood that before this step, image can also be pre-processed, with
Eliminate noise jamming etc..
S103: color development area range is determined in the HSV color space image;To the pixel of the color development area range
Point is clustered, to obtain kernel pixels point.
Specifically, device determines color development area range in the HSV color space image;To the color development area range
Pixel clustered, to obtain kernel pixels point.Fig. 4 is the screenshot of color development area of embodiment of the present invention range, such as Fig. 4 institute
Show, the box mark in Fig. 4 is the color development area range.It can be using automatic threshold segmentation method in the HSV color
Color development area range is determined in spatial image.It can be using k-means clustering method to the pixel of the color development area range
It is clustered, the pixel after cluster is kernel pixels point.
S104: the cross-correlation coefficient between the kernel pixels point and default detection benchmark is calculated, according to calculated result half
External diagnosis reagent described in quantitative judge.
Specifically, device calculates the cross-correlation coefficient between the kernel pixels point and default detection benchmark, according to calculating
As a result sxemiquantitative identifies the external diagnosis reagent.Fig. 5 is the corresponding semidefinite magnitude of the default detection benchmark of the embodiment of the present invention
Screenshot, as described in Figure 5, the different colours in Fig. 5 are corresponding with different semidefinite magnitudes, and semidefinite magnitude can indicate substance to be detected
Recognition result.Identification external diagnosis reagent can use following concrete mode:
Using the maximum target cross-correlation coefficient of numerical value in the calculated result it is corresponding detection benchmark semidefinite magnitude as
Sxemiquantitative recognition result.It is illustrated below: since kernel pixels point can represent the color of the color development area range, being denoted as
Semidefinite magnitude 1~9 in color X, Fig. 5 amounts to the corresponding color of 9 semidefinite magnitudes and is denoted as A~I, calculates color X and face
Cross-correlation coefficient a between color A;The cross-correlation coefficient b etc. between color X and color B is calculated, until calculating color X and face
Cross-correlation coefficient i between color I, if (i.e. numerical value is maximum in cross-correlation coefficient a~cross-correlation coefficient i) for above-mentioned calculated result
It is cross-correlation coefficient b (corresponding target cross-correlation coefficient), cross-correlation coefficient b corresponding color B, such as Fig. 5 color B corresponding half
Quantitative values are 2, therefore, regard semidefinite magnitude 2 as sxemiquantitative recognition result.It should be understood that comparing, counting to easily facilitate
It calculates, the cross-correlation coefficient can be made to normalized, and according to the calculated result of the cross-correlation coefficient after normalized
Sxemiquantitative identifies the external diagnosis reagent, and the mode of normalized is not especially limited.Specifically with after normalized
Cross-correlation coefficient identifies the explanation of external diagnosis reagent, can refer to saying for the above-mentioned cross-correlation coefficient without normalized
It is bright, it repeats no more.
The sxemiquantitative recognition methods of external diagnosis reagent provided in an embodiment of the present invention passes through HSV color after conversion
Color development area range is determined in spatial image, is calculated mutual between the kernel pixels point of color development area range and default detection benchmark
Related coefficient, and external diagnosis reagent is identified according to calculated result sxemiquantitative, sxemiquantitative knowledge can be carried out to external diagnosis reagent
Not, to improve popularization of the vitro diagnostic techniques in general population.
The present invention has the advantage that as follows:
Color development area is determined using longitudinal edge, is not influenced by color development area shade and evolution.Various
Equal energy robust control policy color development area and its position in the case where ambient light, different color development areas, different depth color development areas, benefit
It is clustered with the color development area recognized, can determine the kernel pixels point in color development area, which can effectively remove
Variegated influence improves the accuracy that color calculates, determines that semi-quantitative results can eliminate light using normalized crosscorrelation method
Line etc. influence, make the Colorimetric results of this method relative to the calculated result of the technologies such as Euclidean distance have higher stability and
Accuracy rate.
It is on the basis of the above embodiments, described that the external diagnosis reagent is identified according to calculated result sxemiquantitative, comprising:
Using the semidefinite magnitude of the corresponding color standards of the maximum target cross-correlation coefficient of numerical value in the calculated result as
Sxemiquantitative recognition result.
Specifically, device is by the half of the corresponding color standards of the maximum target cross-correlation coefficient of numerical value in the calculated result
Quantitative values are as sxemiquantitative recognition result.It can refer to above-described embodiment, repeat no more.
The sxemiquantitative recognition methods of external diagnosis reagent provided in an embodiment of the present invention, by by numerical value in calculated result most
The semidefinite magnitude of the corresponding detection benchmark of big target cross-correlation coefficient can be improved as sxemiquantitative recognition result to examining in vitro
The accuracy of disconnected reagent identification.
On the basis of the above embodiments, the method also includes:
The cross-correlation coefficient is made into normalized, and according to the calculated result of the cross-correlation coefficient after normalized
Sxemiquantitative identifies the external diagnosis reagent.
Specifically, the cross-correlation coefficient is made normalized by device, and according to the cross correlation after normalized
Several calculated result sxemiquantitative identifies the external diagnosis reagent.It can refer to above-described embodiment, repeat no more.
The sxemiquantitative recognition methods of external diagnosis reagent provided in an embodiment of the present invention, by the way that cross-correlation coefficient is made normalizing
Change processing can be convenient for comparing and calculating cross-correlation coefficient.
On the basis of the above embodiments, the pixel to the color development area range clusters, comprising:
It is clustered using pixel of the k-means clustering method to the color development area range.
Specifically, device clusters the pixel of the color development area range using k-means clustering method.It can join
According to above-described embodiment, repeat no more.
The sxemiquantitative recognition methods of external diagnosis reagent provided in an embodiment of the present invention, by using the cluster side k-means
Method clusters the pixel of color development area range, can effectively get the kernel pixels point of color development area range.
On the basis of the above embodiments, the external diagnosis reagent is obtained using chemical staining method.
Specifically, the external diagnosis reagent in device is obtained using chemical staining method.It can refer to above-mentioned implementation
Example, repeats no more.
The sxemiquantitative recognition methods of external diagnosis reagent provided in an embodiment of the present invention can be obtained to using chemical staining method
The external diagnosis reagent obtained carries out sxemiquantitative identification.
On the basis of the above embodiments, described that color development area range, packet are determined in the HSV color space image
It includes:
Color development area range is determined in the HSV color space image using automatic threshold segmentation method.
Specifically, device determines color development area model using automatic threshold segmentation method in the HSV color space image
It encloses.It can refer to above-described embodiment, repeat no more.
The sxemiquantitative recognition methods of external diagnosis reagent provided in an embodiment of the present invention, is existed by automatic threshold segmentation method
In HSV color space image determine color development area range, can rationally, effectively determine color development area range.
On the basis of the above embodiments, the container includes glassware.
Specifically, the container in device includes glassware.It can refer to above-described embodiment, repeat no more.
The sxemiquantitative recognition methods of external diagnosis reagent provided in an embodiment of the present invention, can be convenient for being loaded in vierics
External diagnosis reagent in ware carries out sxemiquantitative identification.
Fig. 6 is the sxemiquantitative identification device structural schematic diagram of external diagnosis reagent of the embodiment of the present invention, as shown in fig. 6, this
Inventive embodiments provide a kind of sxemiquantitative identification device of external diagnosis reagent, including acquiring unit 601, converting unit 602,
Determination unit 603 and recognition unit 604, in which:
Acquiring unit 601 is used to obtain the image for the container for being mounted with external diagnosis reagent reaction solution;Converting unit 602
For described image to be converted to HSV color space image;Determination unit 603 is used in the HSV color space image really
Determine color development area range;The pixel of the color development area range is clustered, to obtain kernel pixels point;Recognition unit
604, for calculating the cross-correlation coefficient between the kernel pixels point and default detection benchmark, know according to calculated result sxemiquantitative
The not described external diagnosis reagent.
Specifically, acquiring unit 601 is used to obtain the image for the container for being mounted with external diagnosis reagent reaction solution;Conversion
Unit 602 is used to described image being converted to HSV color space image;Determination unit 603 is used in the HSV color space figure
Color development area range is determined as in;The pixel of the color development area range is clustered, to obtain kernel pixels point;Identification
Unit 604 is used to calculate the cross-correlation coefficient between the kernel pixels point and default detection benchmark, according to calculated result semidefinite
Amount identifies the external diagnosis reagent.
The sxemiquantitative identification device of external diagnosis reagent provided in an embodiment of the present invention passes through HSV color after conversion
Color development area range is determined in spatial image, is calculated mutual between the kernel pixels point of color development area range and default detection benchmark
Related coefficient, and external diagnosis reagent is identified according to calculated result sxemiquantitative, sxemiquantitative knowledge can be carried out to external diagnosis reagent
Not, to improve popularization of the vitro diagnostic techniques in general population.
The sxemiquantitative identification device of external diagnosis reagent provided in an embodiment of the present invention specifically can be used for executing above-mentioned each
The process flow of embodiment of the method, details are not described herein for function, is referred to the detailed description of above method embodiment.
Fig. 7 is electronic equipment entity structure schematic diagram provided in an embodiment of the present invention, as shown in fig. 7, the electronic equipment
It include: processor (processor) 701, memory (memory) 702 and bus 703;
Wherein, the processor 701, memory 702 complete mutual communication by bus 703;
The processor 701 is used to call the program instruction in the memory 702, to execute above-mentioned each method embodiment
Provided method, for example, obtain the image for being mounted with the container of external diagnosis reagent reaction solution;Described image is turned
It is changed to HSV color space image;Color development area range is determined in the HSV color space image;To the color development area model
The pixel enclosed is clustered, to obtain kernel pixels point;It calculates mutual between the kernel pixels point and default detection benchmark
Related coefficient identifies the external diagnosis reagent according to calculated result sxemiquantitative.
The present embodiment discloses a kind of computer program product, and the computer program product includes being stored in non-transient calculating
Computer program on machine readable storage medium storing program for executing, the computer program include program instruction, when described program instruction is calculated
When machine executes, computer is able to carry out method provided by above-mentioned each method embodiment, for example, acquisition is mounted with examines in vitro
The image of the container of disconnected reagent reaction solution;Described image is converted into HSV color space image;In the HSV color space
Color development area range is determined in image;The pixel of the color development area range is clustered, to obtain kernel pixels point;Meter
The cross-correlation coefficient between the kernel pixels point and default detection benchmark is calculated, it is described external according to calculated result sxemiquantitative identification
Diagnostic reagent.
The present embodiment provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage medium
Computer instruction is stored, the computer instruction makes the computer execute method provided by above-mentioned each method embodiment, example
It such as include the image for obtaining the container for being mounted with external diagnosis reagent reaction solution;Described image is converted into HSV color space
Image;Color development area range is determined in the HSV color space image;The pixel of the color development area range is gathered
Class, to obtain kernel pixels point;The cross-correlation coefficient between the kernel pixels point and default detection benchmark is calculated, according to calculating
As a result sxemiquantitative identifies the external diagnosis reagent.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer readable storage medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed;And storage medium above-mentioned includes: ROM, RAM, magnetic disk or light
The various media that can store program code such as disk.
The embodiments such as electronic equipment described above are only schematical, wherein it is described as illustrated by the separation member
Unit may or may not be physically separated, and component shown as a unit may or may not be object
Manage unit, it can it is in one place, or may be distributed over multiple network units.It can select according to the actual needs
Some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying wound
In the case where the labour for the property made, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above various embodiments is only to illustrate the technical solution of the embodiment of the present invention, rather than it is right
It is limited;Although the embodiment of the present invention is described in detail referring to foregoing embodiments, the ordinary skill of this field
Personnel are it is understood that it is still possible to modify the technical solutions described in the foregoing embodiments, or to part
Or all technical features are equivalently replaced;And these are modified or replaceed, it does not separate the essence of the corresponding technical solution
The range of various embodiments of the present invention technical solution.
Claims (10)
1. a kind of sxemiquantitative recognition methods of external diagnosis reagent characterized by comprising
Obtain the image for being mounted with the container of external diagnosis reagent reaction solution;
Described image is converted into HSV color space image;
Color development area range is determined in the HSV color space image;The pixel of the color development area range is gathered
Class, to obtain kernel pixels point;
The cross-correlation coefficient between the kernel pixels point and default detection benchmark is calculated, institute is identified according to calculated result sxemiquantitative
State external diagnosis reagent.
2. the method according to claim 1, wherein described examine in vitro according to calculated result sxemiquantitative identification is described
Disconnected reagent, comprising:
Using the semidefinite magnitude of the corresponding detection benchmark of the maximum target cross-correlation coefficient of numerical value in the calculated result as semidefinite
Measure recognition result.
3. the method according to claim 1, wherein the method also includes:
The cross-correlation coefficient is made into normalized, and according to the calculated result semidefinite of the cross-correlation coefficient after normalized
Amount identifies the external diagnosis reagent.
4. the method according to claim 1, wherein the pixel to the color development area range gathers
Class, comprising:
It is clustered using pixel of the k-means clustering method to the color development area range.
5. the method according to claim 1, wherein the external diagnosis reagent is obtained using chemical staining method
's.
6. the method according to claim 1, wherein described determine colour developing in the HSV color space image
Regional scope, comprising:
Color development area range is determined in the HSV color space image using automatic threshold segmentation method.
7. the method according to claim 1, wherein the container includes glassware.
8. a kind of sxemiquantitative identification device of external diagnosis reagent characterized by comprising
Acquiring unit, for obtaining the image for being mounted with the container of external diagnosis reagent reaction solution;
Converting unit, for described image to be converted to HSV color space image;
Determination unit, for determining color development area range in the HSV color space image;To the color development area range
Pixel is clustered, to obtain kernel pixels point;
Recognition unit is tied for calculating the cross-correlation coefficient between the kernel pixels point and default detection benchmark according to calculating
Fruit sxemiquantitative identifies the external diagnosis reagent.
9. a kind of electronic equipment characterized by comprising processor, memory and bus, wherein
The processor and the memory complete mutual communication by the bus;
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to instruct energy
Enough methods executed as described in claim 1 to 7 is any.
10. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute the method as described in claim 1 to 7 is any.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104964973A (en) * | 2015-07-08 | 2015-10-07 | 邓双胜 | Test paper reading and analyzing method and system based on mobile terminal camera |
CN105164514A (en) * | 2013-01-21 | 2015-12-16 | 康奈尔大学 | Smartphone-based apparatus and method for obtaining repeatable, quantitative colorimetric measurement |
CN105388147A (en) * | 2015-10-21 | 2016-03-09 | 深圳市宝凯仑生物科技有限公司 | Detection method for body fluid based on special test paper |
CN105492887A (en) * | 2013-03-15 | 2016-04-13 | 理查德·哈理·特纳 | A system and methods for the in vitro detection of particles and soluble chemical entities in body fluids |
CN105698934A (en) * | 2016-03-23 | 2016-06-22 | 微堪健康科技(上海)有限公司 | Color collection device for reagent strip |
CN106990104A (en) * | 2017-04-13 | 2017-07-28 | 大连理工大学 | A kind of method based on graphical pixel localization quantitative judge austenitic stainless steel surface iron pollution |
-
2018
- 2018-06-06 CN CN201810573776.0A patent/CN109001191A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105164514A (en) * | 2013-01-21 | 2015-12-16 | 康奈尔大学 | Smartphone-based apparatus and method for obtaining repeatable, quantitative colorimetric measurement |
CN105492887A (en) * | 2013-03-15 | 2016-04-13 | 理查德·哈理·特纳 | A system and methods for the in vitro detection of particles and soluble chemical entities in body fluids |
CN104964973A (en) * | 2015-07-08 | 2015-10-07 | 邓双胜 | Test paper reading and analyzing method and system based on mobile terminal camera |
CN105388147A (en) * | 2015-10-21 | 2016-03-09 | 深圳市宝凯仑生物科技有限公司 | Detection method for body fluid based on special test paper |
CN105698934A (en) * | 2016-03-23 | 2016-06-22 | 微堪健康科技(上海)有限公司 | Color collection device for reagent strip |
CN106990104A (en) * | 2017-04-13 | 2017-07-28 | 大连理工大学 | A kind of method based on graphical pixel localization quantitative judge austenitic stainless steel surface iron pollution |
Non-Patent Citations (2)
Title |
---|
彭瑞云、李杨主编: "《形态计量与图像分析学》", 31 August 2012 * |
曹毅等: "图像检测技术在液态试剂浓度检测中的研究与应用", 《杭州电子科技大学学报》 * |
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Application publication date: 20181214 |