CN115546190A - Test paper interpretation analysis method and system - Google Patents
Test paper interpretation analysis method and system Download PDFInfo
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Abstract
The application provides a test paper interpretation analysis method and a test paper interpretation analysis system, wherein the method comprises the following steps: acquiring test paper parameter information; obtaining a test paper image after reaction with a sample to be tested; the test paper image comprises a control line area and a detection line area; dividing the detection line area into an effective detection area and an invalid detection area according to the test paper parameter information; extracting the gray value of the pixel point in the effective detection area and calculating to obtain a first gray value; the first gray value is an accurate gray value of the effective detection area; acquiring a second gray value according to the test paper parameter information; the second gray value is an accurate gray value of the control line region; and comparing the first gray value with the second gray value to obtain a detection result. The test paper interpretation analysis method is improved on the existing interpretation method, and can obtain more accurate detection results and more accurate quantitative detection results.
Description
Technical Field
The application relates to the technical field of test paper interpretation and analysis, in particular to a test paper interpretation and analysis method and system.
Background
With the progress of science and technology, test paper interpretation software matched with test paper is gradually appeared in the market, the test paper identified by the software is mainly colloidal gold type test paper, the identification of the test paper result is mainly to judge the test result according to the contrast value relationship between the existence and the darkness of the color of a T line (test line) and a C line (control line), and the key of the image scanning processing is to analyze the characteristic information of the C line (control line) and the T line (test line) of the test paper through the scanning identification of the C line (control line) and the T line (test line) of the test paper and analyze the identification result to obtain a qualitative test result.
In the prior art, when a color value of a T-line (test line) is obtained, a small number (for example, 3 to 4) of pixel points are mostly extracted at a fixed position (for example, on a central line of the T-line detection region) or a random position (for example, at any position in the T-line detection region) in the T-line detection region and then averaged, while the color in the T-line detection region is often unstable, that is, a gradual change region exists, and a detection result obtained by using the method in the prior art is not accurate enough. Therefore, the application provides a test paper interpretation analysis method and system.
Disclosure of Invention
The present application aims to provide a test paper interpretation analysis method and system for solving the above problems.
In a first aspect, the present application provides a test strip interpretation analysis method, including the steps of:
acquiring test paper parameter information;
obtaining a test paper image after reaction with a sample to be tested; the test paper image comprises a control line area and a detection line area;
dividing the detection line area into an effective detection area and an invalid detection area according to the test paper parameter information;
extracting the gray value of the pixel point in the effective detection area and calculating to obtain a first gray value; the first gray value is an accurate gray value of the effective detection area;
acquiring a second gray value according to the test paper parameter information; the second gray value is an accurate gray value of the control line region;
and comparing the first gray value with the second gray value to obtain a detection result.
According to the technical scheme provided by some embodiments of the present application, the test paper parameter information includes product function information and product model information.
According to the technical scheme provided by some embodiments of the present application, extracting the gray value of the pixel point in the effective detection area and calculating to obtain the first gray value includes:
extracting gray values of all pixel points in the effective detection area to obtain an initial gray value set;
calculating the average value of the initial gray value set to obtain a first average gray value;
setting an effective gray value range according to the first average gray value;
traversing the initial gray value set, and screening gray values in the effective gray value range to obtain an effective gray value set;
and calculating the average value of the effective gray value set to obtain the first gray value.
According to the technical solution provided in some embodiments of the present application, the method of setting the effective gray-scale value range according to the first average gray-scale value includes:
setting an upper limit threshold; the upper threshold is a times of the first average gray value;
setting a lower limit threshold; the lower threshold is b times the first average gray value;
wherein the value range of a is 1.05-woven-a-woven (1.25); the value range of b is 0.75-cloth-b-cloth-cover 0.95.
According to the technical scheme provided by some embodiments of the present application, comparing the first gray value and the second gray value to obtain a detection result includes:
determining an interpretation curve according to the test paper parameter information;
calculating the ratio of the first gray value to the second gray value to obtain a first ratio;
and inputting the first ratio into the interpretation curve to obtain the concentration of the detection solution.
In a second aspect, the present application provides a strip interpretation analysis system, comprising:
the test paper detection device comprises a scanning module, a detection module and a control module, wherein the scanning module is configured to obtain test paper parameter information;
the image acquisition module is configured to acquire a test paper image after reaction with a sample to be detected; the test paper image comprises a control line area and a detection line area;
the image recognition and division module is configured to acquire corresponding image division rules according to the test paper parameter information and divide the detection line area into an effective detection area and an invalid detection area according to the image division rules;
the extraction and calculation module is configured to extract the gray values of the pixels in the effective detection area and calculate the gray values to obtain first gray values;
the comparison calculation module is configured to compare and calculate the first gray value and the second gray value to obtain a detection result;
an output module configured to output the detection result.
According to the technical scheme provided by some embodiments of the present application, the test paper interpretation analysis system further includes a storage module; the storage module is used for storing image division rules and interpretation curves corresponding to test paper with different functions and different models.
According to the technical scheme provided by some embodiments of the application, the extraction calculation module comprises an extraction submodule, a first calculation submodule, a setting submodule and a screening submodule;
the extraction submodule is configured to extract gray values of all pixel points in the effective detection area to obtain an initial gray value set;
the first calculation submodule is configured to calculate an average value of the initial gray value set to obtain a first average gray value;
the setting submodule is configured to set an effective gray value range according to the first average gray value;
the screening submodule is configured to screen the gray values in the effective gray value range from the initial gray value set to obtain an effective gray value set;
the first calculating submodule is further configured to calculate an average value of the valid gray value sets to obtain the first gray value.
According to the technical scheme provided by some embodiments of the present application, the setting submodule includes an upper limit setting unit and a lower limit setting unit;
the upper limit setting unit is configured to set an upper limit threshold of the effective gray value range;
the lower limit setting unit is configured to set a lower limit threshold of the effective gray scale value range.
According to the technical scheme provided by some embodiments of the application, the comparison calculation module comprises an acquisition submodule and a second calculation submodule;
the acquisition submodule is configured to acquire a corresponding interpretation curve according to the test paper parameter information;
the second calculation submodule is configured to calculate a ratio of the first gray value to the second gray value to obtain a first ratio, and is further configured to input the first ratio into the interpretation curve to obtain a concentration of the detection solution
Compared with the prior art, the beneficial effect of this application: according to the test paper interpretation analysis method, the obtained test paper image detection line area is effectively and ineffectively divided, further analysis and calculation are carried out in the effective detection area, so that a relatively accurate first gray value representing the effective detection area is obtained, and finally, the first gray value and the second gray value are compared and calculated to obtain a relatively accurate qualitative detection result and a relatively accurate quantitative detection result. The test paper interpretation and analysis method is improved on the basis of the existing interpretation method, so that a more accurate detection result can be obtained, and a more accurate quantitative detection result can be obtained.
Drawings
Fig. 1 is a flowchart of a test strip interpretation analysis method provided in an embodiment of the present application.
Detailed Description
The following detailed description of the present application is given in conjunction with the accompanying drawings for the purpose of enabling those skilled in the art to better understand the technical solution of the present application, and the description in this section is only exemplary and explanatory, and should not be taken as limiting the scope of the present application in any way.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Example 1
The embodiment provides a test paper interpretation and analysis system, which is based on a mobile terminal, the display mode of the system is APP installed on the mobile terminal, and the test paper interpretation and analysis system comprises a scanning module, an image acquisition module, an image recognition and division module, an extraction and calculation module, a comparison and calculation module, an output module and a storage module.
The storage module is used for storing image division rules and interpretation curves corresponding to test paper with different functions and different models.
The scanning module is configured to obtain test paper parameter information; the test paper parameter information comprises product function information and product model information. The test paper interpretation and analysis system is matched with special test paper for use, an identification code is printed on the test paper, the identification code can be a bar code or a two-dimensional code, a scanning function of software is started from a mobile phone terminal when the test paper interpretation and analysis system is used, a scanning module scans the identification code on the test paper through a mobile phone camera and obtains test paper parameter information, the test paper parameter information comprises product function information and product model information, the product function information represents the application of the current test paper and is divided into ovulation test paper and early pregnancy test paper, and the product model information represents the model of the current test paper.
The image acquisition module is configured to acquire a test paper image after reaction with a sample to be tested; the test strip image includes a control line region and a detection line region. When a user collects a sample by using the test paper and stands for reaction time, the test paper after the sample to be detected reacts needs to be subjected to image collection, the image collection module collects images of the test paper by using a mobile phone camera, and the collected test paper images comprise a control line area and a detection line area.
The image identification division module is configured to acquire a corresponding image division rule according to the test paper parameter information, and divide the detection line area into an effective detection area and an invalid detection area according to the image division rule. The color distribution conditions of the detection line regions on the test paper with different functions and different signals are different, the image identification division module can acquire corresponding image division rules from the storage module according to the parameter information of the test paper, and divide the detection line regions into an effective detection region and an invalid detection region according to the rules.
The extraction and calculation module is configured to extract the gray values of the pixels in the effective detection area and calculate the gray values to obtain a first gray value. Specifically, the extraction calculation module comprises an extraction submodule, a first calculation submodule, a setting submodule and a screening submodule;
the extraction submodule is configured to extract gray values of all pixel points in the effective detection area to obtain an initial gray value set;
the first calculation submodule is configured to calculate an average value of the initial gray value set to obtain a first average gray value;
the setting submodule is configured to set an effective gray value range according to the first average gray value; specifically, the setting submodule includes an upper limit setting unit and a lower limit setting unit; the upper limit setting unit is configured to set an upper limit threshold of the effective gray value range; the lower limit setting unit is configured to set a lower limit threshold of the effective gray value range; the upper threshold and the lower threshold together form a valid gray value range;
the screening submodule is configured to screen the gray values in the effective gray value range from the initial gray value set to obtain an effective gray value set;
the first calculating submodule is further configured to calculate an average value of the valid gray value sets to obtain the first gray value.
The comparison calculation module is configured to compare and calculate the first gray value and the second gray value to obtain a detection result, and specifically, the comparison calculation module includes an acquisition submodule and a second calculation submodule; the acquisition submodule is configured to acquire a corresponding interpretation curve from the storage module according to the test paper parameter information; the variable value of the interpretation curve is the ratio of the first gray value to the second gray value, and the function value is the concentration of the detection liquid; the second calculation submodule is configured to calculate a ratio of the first gray value to the second gray value to obtain a first ratio, and is further configured to input the first ratio into the interpretation curve to obtain a concentration of a detection solution, wherein the concentration of the detection solution is a quantitative detection result; for the early pregnancy test paper, the quantitative detection result is the concentration of Human Chorionic Gonadotropin (HCG), and for the ovulation test paper, the quantitative detection result is the concentration of Luteinizing Hormone (LH); the second calculation submodule is further configured to obtain a qualitative detection result according to a ratio of the first gray value to the second gray value, wherein the qualitative detection result comprises weak positive, positive and strong positive for the early pregnancy test paper, and the qualitative detection result comprises an easy pregnancy period and a non-easy pregnancy period for the ovulation test paper.
And the output module is configured to output the detection result, and the detection result can be visually displayed to a user.
Example 2
The present embodiment provides a test strip interpretation analysis method, which employs the test strip interpretation analysis system according to embodiment 1, and a flowchart of the test strip interpretation analysis method is shown in fig. 1, where the test strip interpretation analysis method includes the following steps:
s1, acquiring test paper parameter information;
the test paper interpretation and analysis method of the embodiment is matched with special test paper for use, an identification code is printed on the test paper, the identification code can be a bar code or a two-dimensional code, and when the test paper interpretation and analysis method is used, a scanning function of software is started from a mobile phone terminal to scan the identification code on the test paper so as to obtain test paper parameter information; the test paper parameter information comprises product function information and product model information, wherein the product function information represents the application of the current test paper and is divided into ovulation test paper and early pregnancy test paper, and the product model information represents the model of the current test paper.
S2, obtaining a test paper image after reaction with a sample to be tested; the test paper image comprises a control line area and a detection line area;
after the test paper parameter information is obtained, the photographing function of the mobile phone terminal is automatically called, the test paper reacted with a sample to be tested is subjected to image collection, before the image collection, a user operates according to the use instructions of the test paper to collect and sample-add the sample, and stands for reaction time, the user needs to transversely hold the mobile phone with both hands to keep the mobile phone parallel to the test paper on a desktop when the image collection is performed, the distance between the mobile phone and the test paper is generally 10-15 cm, the obtained test paper image needs to comprise a control line area and a detection line area, wherein the control line is a C line on the test paper, and the detection line is a T line on the test paper.
S3, dividing the detection line area into an effective detection area and an invalid detection area according to the test paper parameter information;
because of different functions and types, the color distribution of the detection lines on different test paper is different, for example, the color of the detection line of a certain type (marked as type a) of early pregnancy test paper is gradually deepened and then becomes stable from one end close to the control line to one end far away from the control line in the width direction of the detection line; and the color of the detection line of the other type of early pregnancy detection test paper is gradually deepened from one end close to the control line to one end far away from the control line in the width direction of the detection line, then the detection line is stable and then gradually deepened.
Taking an early pregnancy test paper of a model a as an example, the width of a detection line display region on the test paper is 1mm, the height of the detection line display region is 4mm, the width of a color gradient region of the test paper is about 0.5mm, the width of a color stable region of the test paper is about 0.5mm, the number of pixels in the width direction of the detection line region corresponding to the test line image on the test paper display region is 12, the number of pixels in the length direction is 48, that is, the number of pixels in the entire detection line display region is 12 × 48=576, and the image division rule of the test paper of a model a stored in the storage module is as follows: the test paper image is divided into two parts along the height direction of the test paper image, the two parts are divided into two parts, the areas of the two parts are equal, the number of contained pixel points is also the same and is 288, the area relatively close to one side of the control line area is defined as an invalid detection area, and the area relatively far away from one side of the control line area is defined as an effective detection area.
S4, extracting the gray value of the pixel point in the effective detection area and calculating to obtain a first gray value; the first gray value is an accurate gray value of the effective detection area; the method specifically comprises the following steps:
s41, extracting gray values of all pixel points in the effective detection area to obtain an initial gray value set;
in this embodiment, firstly, gray values of 288 pixels in the effective detection area need to be extracted, the extraction method is any one of the extraction methods in the prior art, and an initial gray value set is obtained after extraction, where the initial gray value set includes 288 elements.
S42, calculating the average value of the initial gray value set to obtain a first average gray value;
an average value is solved for 288 gray values in the initial gray value set obtained in step S41, so as to obtain a first average gray value.
S43, setting an effective gray value range according to the first average gray value;
considering that a small number of pixel points with relatively large gray value deviation may exist in the divided effective detection areas, an effective gray value range needs to be set, and the specific setting method includes:
s431, setting an upper limit threshold; the upper threshold is a times of the first average gray value;
s432, setting a lower limit threshold; the lower threshold is b times the first average gray value;
wherein the value range of a is 1.05-woven-a-woven (1.25); the value range of b is 0.75-cloth-b-cloth-cover 0.95.
In this embodiment, it is preferable that the value of a is 1.1 and the value of b is 0.9, i.e., the effective gray value range is 0.9 times to 1.1 times the first average gray value.
S44, traversing the initial gray value set, and screening gray values in the effective gray value range to obtain an effective gray value set;
and traversing 288 gray values of the initial gray value set, respectively comparing each gray value with an upper threshold and a lower threshold, screening out the gray values of the pixel points within the range of the upper threshold and the lower threshold, and obtaining an effective gray value set.
S45, calculating the average value of the effective gray value set to obtain the first gray value.
And averaging all elements in the effective gray value set to obtain a first gray value, namely the accurate gray value of the effective detection area.
It should be noted that, because the gray value of each pixel point in the height direction of the detection line is relatively stable, in order to reduce the calculation amount and improve the calculation efficiency, when extracting the pixel points in the effective detection area, it is not necessary to extract the gray values of all the pixel points, when extracting partial pixel points, it is necessary to extract all the pixel points in the width direction of the effective detection area, and the pixel points can be randomly extracted in the length direction of the effective detection area.
In this embodiment, the effective detection area includes 288 pixel points in 48 rows and 6 columns, and n rows and 6 columns of pixel points may be randomly extracted, where the value range of n is preferably 3 to 6, for example, if n is 5, 30 pixel points in 5 rows and 6 columns need to be extracted from the effective detection area, that is, the obtained initial gray value set includes 30 elements.
S5, acquiring a second gray value according to the test paper parameter information; the second gray value is an accurate gray value of the control line region;
accurate gray values of control line regions corresponding to test paper with different functions and different models are stored in a storage module of the test paper interpretation and analysis system, are obtained through multiple test detections after the test paper with the model is produced, and are stored in the storage module.
S6, comparing the first gray value with the second gray value to obtain a detection result. The method specifically comprises the following steps:
s61, determining an interpretation curve according to the test paper parameter information;
the storage module of the test paper interpretation analysis system stores interpretation curves corresponding to test papers with different functions and different models, the variable value of the interpretation curve is the ratio (namely T/C ratio) of a first gray value to a second gray value, and the function value is the concentration of a detection solution; for the early pregnancy test strips, the test solution concentration is the concentration of Human Chorionic Gonadotropin (HCG) and for the ovulation test strips, the test solution concentration is the concentration of Luteinizing Hormone (LH).
In this embodiment, the expression of the interpretation curve corresponding to the test paper is: y =213.73x 3 -207.27x 2 +94.646x-7.8066, which expression is obtained by a plurality of sampling tests after the test paper of the model is produced, wherein the variable value x corresponds to the first gray value, and the function value y corresponds to the second gray value, and the interpretation curve is expressed in the form of table 1 for visual display.
TABLE 1
S62, calculating a ratio of the first gray value to the second gray value to obtain a first ratio;
and S63, inputting the first ratio into the interpretation curve to obtain the concentration of the detection solution.
The calculation result of step S62 is input as a variable value to the interpretation curve acquired in step S61, and the obtained function value is the concentration of the detection solution, which is the concentration of Human Chorionic Gonadotropin (HCG) in this embodiment.
The existing interpretation method only outputs the detection result qualitatively, and the interpretation method can not only output the qualitative detection result, but also output the quantitative detection result.
As to the qualitative detection result, it is output according to the first ratio calculated in step S62, and in this embodiment, when the first ratio is <15%, it indicates that the detection result is weakly positive; when the first ratio is more than or equal to 15% and less than or equal to 250%, the detection result is positive; when the first ratio is more than 250%, the detection result is indicated as strong positive.
Regarding the quantitative detection result, it will be output according to the detection liquid concentration calculated in step S63, that is, the detection liquid concentration will be displayed, for the early pregnancy detection, it will also display the corresponding relationship between the human body HCG concentration and the cycle of pregnancy for the user' S reference while displaying the HCG concentration, table 2 is the corresponding relationship between the human body HCG concentration and the cycle of pregnancy, and the corresponding relationship is also stored in the storage module of the test paper interpretation and analysis system.
TABLE 2
According to the test paper interpretation and analysis method provided by the embodiment of the application, the obtained test paper image detection line area is effectively and ineffectively divided, and is further analyzed and calculated in the effective detection area, so that a relatively accurate first gray value representing the effective detection area is obtained, and a relatively accurate qualitative detection result can be obtained by comparing and calculating the first gray value and the second gray value; in addition, by introducing the interpretation curve, the more accurate detection liquid concentration can be obtained, namely, a more accurate quantitative detection result is provided for a user, and great convenience is brought to the user.
The test paper interpretation and analysis system and method can accurately realize the interpretation and analysis functions of the detection test paper, solve the problems that professional equipment cannot be held by hands, operation professional requirements are high, price is high and the like, can realize recording and uploading to the Internet, enable the detector to be in a laboratory, detect the test paper in more scenes such as a family and the like, and carry out cloud storage and management on detection results and information data. Greatly reducing the manpower, material resources and financial resources. The development of the family health detection market is expanded.
The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. The foregoing is only a preferred embodiment of the present application, and it should be noted that there are no specific structures which are objectively limitless due to the limited character expressions, and it will be apparent to those skilled in the art that a plurality of modifications, decorations or changes can be made without departing from the principle of the present invention, and the technical features mentioned above can be combined in a suitable manner; such modifications, variations, combinations, or adaptations of the invention in other instances, which may or may not be practiced, are intended to be within the scope of the present application.
Claims (10)
1. A test paper interpretation and analysis method is characterized by comprising the following steps:
acquiring test paper parameter information;
obtaining a test paper image after reaction with a sample to be tested; the test paper image comprises a control line area and a detection line area;
dividing the detection line area into an effective detection area and an invalid detection area according to the test paper parameter information;
extracting the gray value of the pixel point in the effective detection area and calculating to obtain a first gray value; the first gray value is an accurate gray value of the effective detection area;
acquiring a second gray value according to the test paper parameter information; the second gray value is an accurate gray value of the control line region;
and comparing the first gray value with the second gray value to obtain a detection result.
2. The strip interpretation analysis method according to claim 1, wherein the strip parameter information includes product function information and product model information.
3. The test paper interpretation analysis method according to claim 1, wherein extracting the gray values of the pixels in the effective detection area and calculating to obtain a first gray value comprises:
extracting gray values of all pixel points in the effective detection area to obtain an initial gray value set;
calculating the average value of the initial gray value set to obtain a first average gray value;
setting an effective gray value range according to the first average gray value;
traversing the initial gray value set, and screening gray values in the effective gray value range to obtain an effective gray value set;
and calculating the average value of the effective gray value set to obtain the first gray value.
4. A test strip interpretation analysis method according to claim 3, wherein the method of setting the effective gray value range according to the first average gray value includes:
setting an upper limit threshold; the upper limit threshold value is a times of the first average gray value;
setting a lower limit threshold; the lower threshold is b times of the first average gray value;
wherein, the value range of a is 1.05-a-n & lt 1.25; the value range of b is 0.75-cloth-b-cloth-cover 0.95.
5. A test strip interpretation analysis method according to claim 1, wherein comparing the first gray scale value and the second gray scale value to obtain a detection result comprises:
determining an interpretation curve according to the test paper parameter information;
calculating the ratio of the first gray value to the second gray value to obtain a first ratio;
and inputting the first ratio into the interpretation curve to obtain the concentration of the detection solution.
6. A dipstick interpretation analysis system comprising:
the test paper detection device comprises a scanning module, a detection module and a control module, wherein the scanning module is configured to obtain test paper parameter information;
the image acquisition module is configured to acquire a test paper image after reaction with a sample to be detected; the test paper image comprises a control line area and a detection line area;
the image recognition and division module is configured to acquire a corresponding image division rule according to the test paper parameter information and divide the detection line area into an effective detection area and an invalid detection area according to the image division rule;
the extraction and calculation module is configured to extract the gray values of the pixels in the effective detection area and calculate the gray values to obtain first gray values;
the comparison calculation module is configured to compare and calculate the first gray value and the second gray value to obtain a detection result;
an output module configured to output the detection result.
7. A dipstick assay system according to claim 6 further comprising a storage module; the storage module is used for storing image division rules and interpretation curves corresponding to test paper with different functions and different models.
8. A test strip interpretation analysis system according to claim 6, wherein the extraction calculation module includes an extraction sub-module, a first calculation sub-module, a setting sub-module, and a screening sub-module;
the extraction submodule is configured to extract gray values of all pixel points in the effective detection area to obtain an initial gray value set;
the first calculation submodule is configured to calculate an average value of the initial gray value set to obtain a first average gray value;
the setting submodule is configured to set an effective gray value range according to the first average gray value;
the screening submodule is configured to screen the gray values in the effective gray value range from the initial gray value set to obtain an effective gray value set;
the first calculating submodule is further configured to calculate an average value of the valid gray value sets to obtain the first gray value.
9. A strip interpretation analysis system according to claim 8, wherein the setting sub-module includes an upper limit setting unit and a lower limit setting unit;
the upper limit setting unit is configured to set an upper limit threshold of the effective gray value range;
the lower limit setting unit is configured to set a lower limit threshold of the effective gray scale value range.
10. A test strip interpretation analysis system according to claim 7, wherein the comparison calculation module includes an acquisition sub-module and a second calculation sub-module;
the acquisition submodule is configured to acquire a corresponding interpretation curve according to the test paper parameter information;
the second calculation submodule is configured to calculate a ratio of the first gray value to the second gray value to obtain a first ratio, and is further configured to input the first ratio into the interpretation curve to obtain a concentration of the detection solution.
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