CN112674714A - Mobile phone image examination optometry method combining filter and peripheral equipment - Google Patents
Mobile phone image examination optometry method combining filter and peripheral equipment Download PDFInfo
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- CN112674714A CN112674714A CN201910996244.2A CN201910996244A CN112674714A CN 112674714 A CN112674714 A CN 112674714A CN 201910996244 A CN201910996244 A CN 201910996244A CN 112674714 A CN112674714 A CN 112674714A
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Abstract
The invention discloses a method for examining the shadow of a mobile phone by combining a filter with a peripheral, which comprises the following steps: installing the peripheral on the mobile phone, and turning on light on the peripheral; shooting an eyeball shadow video of the measured person responding to the external lamplight by using a mobile phone camera; capturing each frame of image in an eyeball motion video, and processing the image; judging the near-far vision and/or astigmatism condition of the measured person according to the processed image; after the measurement is finished, the measurement result is displayed on the mobile phone and uploaded to the processing system; the processing system analyzes the measurement result and sends the analysis result to the mobile phone; the invention can objectively check the refraction condition of the patient, greatly reduce the number of instruments for traditional image examination and optometry, has reliable result, can improve the screening efficiency, is convenient for recording and counting, and can give a feasible suggestion to the user according to the measurement result.
Description
Technical Field
The invention relates to the field of pattern recognition, in particular to a mobile phone image testing and optometry method combining a filter and a peripheral.
Background
With the popularization of modern electronic products, the myopia of people is more serious, the demand of people on optometry glasses is more and more high, however, the traditional optometry method needs to go to a professional organization specially, and optometry instruments are numerous and very inconvenient.
Nowadays, professional optometry device has appeared, and the user can be by oneself carry out the optometry, but this kind of optometry device still judges the orientation of letter by the person who is surveyed, and error probably appears, leads to optometry result not necessarily very objective accurate, and very trouble, and the save and the analysis of optometry result also are a difficult problem simultaneously, also are difficult to give professional feasible suggestion to user's actual conditions.
Disclosure of Invention
In view of the above-mentioned shortcomings, the invention provides a mobile phone image-testing optometry method combining a filter and an external device, which can objectively test the refractive condition of a patient, greatly reduce the number of instruments for traditional image-testing optometry, ensure reliable results, improve the screening efficiency and facilitate the recording and statistics.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a mobile phone shadow-testing method combining a filter with a peripheral device comprises the following steps:
installing the peripheral on the mobile phone, and turning on light on the peripheral;
shooting an eyeball shadow video of the measured person responding to the external lamplight by using a mobile phone camera;
capturing each frame of image in an eyeball motion video, and processing the image;
judging the near-far vision and/or astigmatism condition of the measured person according to the processed image;
after the measurement is finished, the measurement result is displayed on the mobile phone and uploaded to the processing system;
the processing system analyzes the measurement result and sends the analysis result to the mobile phone.
According to an aspect of the present invention, the capturing an eyeball motion video of the measured person responding to the external lighting by using the mobile phone camera specifically comprises: the method comprises the steps of prompting a measuring person to be away from a measured person for a certain distance through voice, aligning a mobile phone camera to one side of an eyeball pupil of the measured person, and slowly rotating the mobile phone to the other side of the eyeball pupil of the measured person at a constant speed to obtain an eyeball shadow video of the measured person responding to external lamplight.
According to an aspect of the present invention, the capturing each frame of image in the eye movement video and processing the image are specifically: and importing the eyeball motion video into a corresponding APP in the mobile phone, capturing each frame of image in the eyeball motion video in the corresponding APP, and adding a sketch filter to process the image.
According to one aspect of the invention, the sketch filter can enhance the motion of visible light emitted by an external device by an eyeball in an image, so that the image with clear motion information can be obtained.
According to one aspect of the invention, the method for testing the optometry of the mobile phone by combining the filter with the peripheral equipment further comprises the following steps: training a deep learning model through the shadow condition of a large amount of sample data to establish a refraction screening function in the corresponding APP of the mobile phone; the sample data is specifically an eyeball motion sample image with known near-far vision degree after being processed by a sketch filter.
According to an aspect of the present invention, the determining of the near-far vision condition of the measured person according to each frame of image is specifically: the measured person is judged to be emmetropia, myopia, hyperopia or strabismus through eyeball shadow information in the image after the refraction screening function comprehensive processing of the corresponding APP of the mobile phone, and the near-far-vision degree of the measured person is calculated.
According to one aspect of the invention, the determining the astigmatism of the measured person according to the processed image is specifically as follows: and judging whether the measured person has astigmatism according to the deviation of the peripheral light, and calculating the astigmatism degree according to the deviation angle.
According to one aspect of the invention, the method for testing the optometry of the mobile phone by combining the filter with the peripheral equipment further comprises the following steps: the user registers the unique two-dimensional code in the processing system, and basic information of the user is stored in the unique two-dimensional code.
According to one aspect of the present invention, after the measurement is finished, the measurement result is displayed on the mobile phone and uploaded to the processing system, specifically: and displaying the near-far vision and/or astigmatism on a mobile phone interface, scanning the unique two-dimensional code of the user by the user through the mobile phone, uploading the measurement result of the user to a processing system, and assigning the measurement result to the user.
According to one aspect of the present invention, the analyzing the measurement result and sending the analysis result to the mobile phone by the processing system specifically comprises: the processing system generates a recommendation for the user by analyzing the near-far vision and astigmatism of the user and sends the recommendation to the mobile phone of the user.
The implementation of the invention has the advantages that: the invention relates to a method for examining the shadow and testing the light of a mobile phone by combining a filter with a peripheral, which comprises the following steps: installing the peripheral on the mobile phone, and turning on light on the peripheral; shooting an eyeball shadow video of the measured person responding to the external lamplight by using a mobile phone camera; capturing each frame of image in an eyeball motion video, and processing the image; judging the near-far vision and/or astigmatism condition of the measured person according to the processed image; after the measurement is finished, the measurement result is displayed on the mobile phone and uploaded to the processing system; the processing system analyzes the measurement result and sends the analysis result to the mobile phone; the invention can objectively check the refraction condition of the patient, greatly reduce the number of instruments for traditional image examination and optometry, has reliable result, can improve the screening efficiency, is convenient for recording and counting, and can give a feasible suggestion to the user according to the measurement result.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic view of a mobile phone screening and optometry method combining a filter and an external device according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a method for mobile phone screening and optometry by combining a filter with a peripheral device includes the following steps:
step S1: installing the peripheral on the mobile phone, and turning on light on the peripheral;
in practical application, the lamp light is turned on in a darker environment for subsequent operation, so that the influence of other light sources is avoided.
Step S2: shooting an eyeball shadow video of the measured person responding to the external lamplight by using a mobile phone camera;
in practical application, the shooting of the eyeball motion video of the measured person responding to the external lamplight by using the mobile phone camera specifically comprises the following steps: the method comprises the steps of prompting a measuring person to be away from a measured person for a certain distance through voice, aligning a mobile phone camera to one side of an eyeball pupil of the measured person, and slowly rotating the mobile phone to the other side of the eyeball pupil of the measured person at a constant speed to obtain an eyeball shadow video of the measured person responding to external lamplight.
In practical application, the mobile phone camera is a rear camera.
Step S3: capturing each frame of image in an eyeball motion video, and processing the image;
in practical application, capturing each frame of image in the eye movement video, and processing the image specifically includes: and importing the eyeball motion video into a corresponding APP in the mobile phone, capturing each frame of image in the eyeball motion video in the corresponding APP, and adding a sketch filter to process the image.
In practical application, the corresponding APP of the mobile phone is an eyesight measurement APP downloaded by a user in advance.
In practical application, the sketch filter can enhance the motion of visible light emitted by an eyeball in an image to the peripheral equipment, so that the image with clear and visible motion information is obtained.
In practical application, eyeball movement information of an image which is not processed by the sketch filter is quite fuzzy, and the sketch filter is added to enable the movement information in an eyeball movement video to be clear and visible, so that the movement characteristics are convenient to observe.
Step S4: judging the near-far vision and/or astigmatism condition of the measured person according to the processed image;
in practical application, a deep learning model is trained through the shadow condition of a large amount of sample data to establish a refraction screening function in a corresponding APP of a mobile phone; the sample data is specifically an eyeball motion sample image with known near-far vision degree, which is processed by a sketch filter.
In practical application, sample data is input into the deep learning model for training, the relation between the eyeball motion condition and the near-far vision degree is established, and the trained deep learning model is used as a refraction screening function in the mobile phone APP.
In practical applications, the deep learning model may be a LeNet model or an AlexNet model.
In practical application, the determining, according to the processed image, the near-far vision condition of the measured person is specifically: the measured person is judged to be emmetropia, myopia, hyperopia or strabismus through eyeball shadow information in the image after the refraction screening function comprehensive processing of the corresponding APP of the mobile phone, and the near-far-vision degree of the measured person is calculated.
In practical application, the measured person is judged to be emmetropia, myopia, hyperopia or strabismus according to the cinesia information of the eyeball under the irradiation of the external lamplight.
In practical application, the specific step of judging the astigmatism of the measured person according to each frame of image is as follows: and judging whether the measured person has astigmatism according to the deviation of the peripheral light, and calculating the astigmatism degree according to the deviation angle.
In practical application, whether the imaging of external lamplight in eyeballs deviates and the deviation degree is comprehensively analyzed and processed through the refraction screening function of the corresponding APP of the mobile phone, so that the astigmatism condition of a measured person is judged.
Step S5: after the measurement is finished, the measurement result is displayed on the mobile phone and uploaded to the processing system;
in practical application, a user needs to register a unique two-dimensional code in a processing system, and basic information of the user is stored in the unique two-dimensional code.
In practical applications, the user only needs to register the two-dimensional code when using the processing system for the first time.
In practical application, the processing system is a pre-established on-line system and has the functions of accurately analyzing the measured data and generating corresponding suggestions.
In practical application, the near-far vision and the astigmatism are displayed on a mobile phone interface, a user scans the unique two-dimensional code of the user through the mobile phone, and the measurement result of the user is uploaded to the processing system and is assigned to the user.
In the embodiment, the near-far vision and the astigmatism are displayed on the corresponding APP interface of the mobile phone, and the user unique two-dimensional code is scanned in the corresponding APP of the mobile phone.
Step S6: the processing system analyzes the measurement result and sends the analysis result to the mobile phone.
In practical application, the processing system generates a suggestion for the user by analyzing the near-far vision and astigmatism of the user and sends the suggestion to the mobile phone of the user.
In this embodiment, the generated analysis result and the generated suggestion are sent to the corresponding APP interface of the user's mobile phone.
In this embodiment, the specific implementation scheme is as follows:
step 1: firstly, shooting a detail video of a left eye, and obtaining the near-far vision and astigmatism conditions of the left eye through the technical scheme;
step 2: then shooting a right eye detail video, and obtaining the near-far vision and astigmatism conditions of the right eye through the technical scheme;
and step 3: and respectively displaying the near-far vision and the astigmatism of the two eyes on the mobile phone APP interface, and feeding back the near-far vision and the astigmatism to the mobile phone APP interface after analyzing and processing in the processing system.
The embodiment provides a mobile phone image testing and optometry method combining a filter and a peripheral, which can objectively test the refraction condition of a patient, greatly reduce the number of instruments for traditional image testing and optometry, has reliable results, can improve the screening efficiency, is convenient for recording and counting, and can give practical suggestions to the user according to the measurement results.
The implementation of the invention has the advantages that: the invention relates to a method for examining the shadow and testing the light of a mobile phone by combining a filter with a peripheral, which comprises the following steps: installing the peripheral on the mobile phone, and turning on light on the peripheral; shooting an eyeball shadow video of the measured person responding to the external lamplight by using a mobile phone camera; capturing each frame of image in an eyeball motion video, and processing the image; judging the near-far vision and/or astigmatism condition of the measured person according to the processed image; after the measurement is finished, the measurement result is displayed on the mobile phone and uploaded to the processing system; the processing system analyzes the measurement result and sends the analysis result to the mobile phone; the invention can objectively check the refraction condition of the patient, greatly reduce the number of instruments for traditional image examination and optometry, has reliable result, can improve the screening efficiency, is convenient for recording and counting, and can give a feasible suggestion to the user according to the measurement result.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention disclosed herein are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A mobile phone image test method combining a filter and a peripheral is characterized by comprising the following steps:
installing the peripheral on the mobile phone, and turning on light on the peripheral;
shooting an eyeball shadow video of the measured person responding to the external lamplight by using a mobile phone camera;
capturing each frame of image in an eyeball motion video, and processing the image;
judging the near-far vision and/or astigmatism condition of the measured person according to the processed image;
after the measurement is finished, the measurement result is displayed on the mobile phone and uploaded to the processing system;
the processing system analyzes the measurement result and sends the analysis result to the mobile phone.
2. The method for examining the image of the eye by the cell phone combined with the external device through the filter according to claim 1, wherein the step of shooting the eyeball shadow video of the measured person reacting to the external device light by using the cell phone camera comprises the following steps: the method comprises the steps of prompting a measuring person to be away from a measured person for a certain distance through voice, aligning a mobile phone camera to one side of an eyeball pupil of the measured person, and slowly rotating the mobile phone to the other side of the eyeball pupil of the measured person at a constant speed to obtain an eyeball shadow video of the measured person responding to external lamplight.
3. The method for examining the optometry of the mobile phone by combining the filter with the peripheral device according to claim 2, wherein capturing each frame of image in the eye movement video and processing the image specifically comprises: and importing the eyeball motion video into a corresponding APP in the mobile phone, capturing each frame of image in the eyeball motion video in the corresponding APP, and adding a sketch filter to process the image.
4. The method for examining the shadow of the mobile phone by combining the filter with the peripheral equipment according to claim 3, wherein the sketch filter can enhance the shadow of the eyeball in the image to the visible light emitted by the peripheral equipment, so as to obtain the image with clear shadow information.
5. The mobile phone screening method of claim 4, wherein the mobile phone screening method further comprises the following steps: training a deep learning model through the shadow condition of a large amount of sample data to establish a refraction screening function in the corresponding APP of the mobile phone; the sample data is specifically an eyeball motion sample image with known near-far vision degree after being processed by a sketch filter.
6. The method for examining the vision of the mobile phone by combining the filter with the peripheral device according to claim 5, wherein the determining the hyperopic condition of the measured person according to the processed image is specifically: the measured person is judged to be emmetropia, myopia, hyperopia or strabismus through eyeball shadow information in the image after the refraction screening function comprehensive processing of the corresponding APP of the mobile phone, and the near-far-vision degree of the measured person is calculated.
7. The method for testing the astigmatism of the mobile phone by combining the filter with the peripheral equipment as claimed in claim 1, wherein the step of judging the astigmatism of the measured person according to the processed image is specifically as follows: and judging whether the measured person has astigmatism according to the deviation of the peripheral light, and calculating the astigmatism degree according to the deviation angle.
8. The mobile phone optometry method combined with a peripheral device through a filter according to claim 1, further comprising the steps of: the user registers the unique two-dimensional code in the processing system, and basic information of the user is stored in the unique two-dimensional code.
9. The method for examining the shadow of the mobile phone by combining the filter with the peripheral equipment according to claim 8, wherein the step of displaying the measurement result on the mobile phone after the measurement is finished and uploading the measurement result to the processing system specifically comprises the steps of: and displaying the near-far vision and/or astigmatism on a mobile phone interface, scanning the unique two-dimensional code of the user by the user through the mobile phone, uploading the measurement result of the user to a processing system, and assigning the measurement result to the user.
10. The method for testing the optometry of the mobile phone by combining the filter with the peripheral device as claimed in claim 9, wherein the analyzing the measurement result and sending the analysis result to the mobile phone by the processing system specifically comprises: the processing system generates a recommendation for the user by analyzing the near-far vision and astigmatism of the user and sends the recommendation to the mobile phone of the user.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20230016784A (en) * | 2021-07-27 | 2023-02-03 | 삼육대학교산학협력단 | Self-vision diagnosis system using big data and camera filter function, and vision measurement app construction and vision measurement method using optometry filter |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20230016784A (en) * | 2021-07-27 | 2023-02-03 | 삼육대학교산학협력단 | Self-vision diagnosis system using big data and camera filter function, and vision measurement app construction and vision measurement method using optometry filter |
| KR102616791B1 (en) | 2021-07-27 | 2023-12-20 | 삼육대학교산학협력단 | Self-vision diagnosis system using big data and camera filter function |
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