CN109008936A - Method for detecting diopter and equipment based on object of reference - Google Patents
Method for detecting diopter and equipment based on object of reference Download PDFInfo
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- CN109008936A CN109008936A CN201810836096.3A CN201810836096A CN109008936A CN 109008936 A CN109008936 A CN 109008936A CN 201810836096 A CN201810836096 A CN 201810836096A CN 109008936 A CN109008936 A CN 109008936A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/028—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing visual acuity; for determination of refraction, e.g. phoropters
- A61B3/0285—Phoropters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/02—Subjective types, i.e. testing apparatus requiring the active assistance of the patient
- A61B3/028—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing visual acuity; for determination of refraction, e.g. phoropters
- A61B3/032—Devices for presenting test symbols or characters, e.g. test chart projectors
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Abstract
The present invention provides a kind of method for detecting diopter and equipment based on object of reference, and described method includes following steps: the first image being presented on a terminal screen；The second image is shot in response to external operation；Object of reference is identified from second image and determines the image size of the object of reference；The diopter of measured is determined according to the image size of the object of reference.The method for detecting diopter and equipment based on object of reference provided according to the present invention, can be completed by common intelligent terminal, and not need professional's interference, carried out operation by user oneself and detected itself diopter, have stronger convenience.
Description
Technical field
The present invention relates to Analysis of Medical Treatment Data fields, and in particular to a kind of method for detecting diopter based on object of reference and sets
It is standby.
Background technique
With the development of modern economy, the progress of education, various smart machines are popularized, and near-sighted number increases year by year,
And constantly develop to becoming younger, so low cost, the near-sighted diagnostic method importance that can be popularized is self-evident, especially
For teenager.
In general, in ophthalmologic hospital and matching mirror center, the equipment that optist can use profession passes through measurement diopter judgement
Human eye ball whether myopia and myopia degree.But under normal circumstances, people are just determined when finding that eyes go wrong
The mechanism of profession is gone to go optometry.Single needle is for myopia.It is understood that teenager is used due to fatigue if not congenital myopia
Eye, frequent close eye can first lead to pseudo-myopia, be further development of very near-sighted.Pseudo-myopia is can to pass through the modern times
What medical means were restored.And myopia can only pass through wearing spectacles or operative treatment.So if there is method can allow blueness few
Year usually can easily detect whether myopia, and the meaning for preventing adolescent myopia is huge.Meanwhile often measurement
Diopter can also help near-sighted people to control near-sighted development.
There are three types of existing diopter detection modes, i.e. subjective refraction, retinoscopy optometry and computerized optometry.Order of accuarcy is successively
Successively decrease.In hospital or match mirror center, usually uses computerized optometry initial survey, subjective refraction determines actual diopter.It is right separately below
Three kinds of methods are briefly introduced.
Subjective refraction is using a series of lens of different diopters, and under the cooperation of patient, make repeated attempts different diopters
Lens so that patient restores normal visual acuity by lens.Subjective refraction needs that visual chart is cooperated to use, and patient needs
Certain distance is kept with visual chart, specific value depends on visual chart and calculation method, and usually six meters, and the light in room
It is comfortable.
Shadow test is that Ray Of Light is projected patient's eye dioptric system with skiascope to go directly retina, then by retina
Reflected light arrives at skiascope, passes through skiascope peephole (referred to as inspection shadow hole), is observed by optist.This retinal reflex light is
" reflection to red light " is the main foundation for examining shadow analysis.Patient's refractive status is different, and what is formed by reflection to red light is suitable dynamic, inverse
It is dynamic also different.Optist analyzes this different shadow and moves, and it is dynamic to clear up shadow that corresponding eyeglass is taken out in standard eye-detecting lens box, until finding
The point of neutralization.For find the point of neutralization standard eyeglass and patient refractive status it is closely related.Shadow test is also known as retinoscopy
Method, skiascope are also known as the retinoscope.
Computerized optometry belongs to objective optometry, and principle is essentially identical with sciascopia, using infrared light sources and
Automatic mist view apparatus achievees the purpose that loosen eyeball adjusting, using photoelectric technology and automatic control technology inspection diopter.
The common trait of existing three kinds of modes are as follows: need special equipment, professional person is needed to assist.It can be seen that
Existing diopter detection mode convenience is poor.
Summary of the invention
In view of this, the present invention provides a kind of method for detecting diopter based on object of reference, comprising:
The first image is presented on a terminal screen；
The second image is shot in response to external operation；
Object of reference is identified from second image and determines the image size of the object of reference；
The diopter of measured is determined according to the image size of the object of reference.
Preferably, the image size is the image length of object of reference.
Preferably, the diopter of measured is determined using following formula:
Wherein, D is diopter, h0The object of reference is at a distance from photographic device when to shoot test image, the test
It include the image of the object of reference, l in image0For the image length of the object of reference in the test image, l1It is described
The image length of the object of reference in two images.
Preferably, the image size is the imagery coverage of object of reference.
Preferably, the diopter of measured is determined using following formula:
Wherein, D is diopter, h0The object of reference is at a distance from photographic device when to shoot test image, the test
It include the image of the object of reference, S in image0For the imagery coverage of the object of reference in the test image, S1It is described
The imagery coverage of the object of reference in two images.
Preferably, the image size for identifying object of reference from second image and determine the object of reference, comprising:
Using second image as the input data of machine recognition model, so that described in machine recognition model output
The image size of object of reference, the machine recognition model is obtained using multiple training images and training label, wherein described
There is portrait and object of reference image, the trained label includes position of the object of reference image in training image in training image
It sets and size.
Preferably, the object of reference is the card with magnetic stripe.
Preferably, the image size for identifying object of reference from second image and determine the object of reference, comprising:
Gray level image is converted by second image；
The magnetic stripe image of the card is determined according to the lines of the gray level image；
Determine the size of magnetic stripe image.
Preferably, before the second image of the acquisition the step of, further includes:
Prompt information is presented, on a terminal screen to prompt detected person the case where can see the first image clearly
Under, it controls the photographic device in the terminal and is shot to the face of detected person to obtain the second image；And/or prompt quilt
Tester holds the posture of the object of reference；And/or prompt adjusts the mode of distance between terminal and detected person.
Correspondingly, the present invention also provides a kind of electronic equipment, comprising: at least one processor and with it is described at least one
The memory of processor communication connection；Wherein, the memory is stored with the instruction that can be executed by least one described processor,
Described instruction is executed by least one described processor, so that at least one described processor executes above-mentioned bending based on object of reference
Photometric detection method.
The method for detecting diopter and equipment based on object of reference provided according to the present invention, by presenting on a terminal screen
For detecting the image of diopter, and contain from user itself operating terminal to itself face shots the image of object of reference image,
And then the diopter of eyes of user is calculated by the image size of object of reference in shot image, which can be by common
Electronic equipment complete, and do not need professional's interference, operated by user oneself, there is stronger convenience.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow chart of the method for detecting diopter provided in an embodiment of the present invention based on object of reference；
Fig. 2 is the first image in the embodiment of the present invention；
Fig. 3 is the schematic diagram of a scenario that user is using the method for detecting diopter provided by the invention based on object of reference；
The second image in Fig. 4 embodiment of the present invention.
Specific embodiment
Technical solution of the present invention is clearly and completely described below in conjunction with attached drawing, it is clear that described implementation
Example is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
As long as in addition, the non-structure each other of technical characteristic involved in invention described below different embodiments
It can be combined with each other at conflict.
The embodiment of the present invention provides a kind of method for detecting diopter based on object of reference, this method can by smart phone,
There is tablet computer etc. the electronic equipment of photographic device to execute, for user from diopter is surveyed, as shown in Figure 1, this method packet
Include following steps:
The first image is presented in S1 on a terminal screen, the image can be exclusively used in used in medical domain check bend
The image of luminosity or astigmatism, picture material is readily able to user's subjectivity and differentiates whether eyes focus, such as figure shown in Fig. 2
Picture.It can be it will be understood by those skilled in the art that the content of the first image is not limited to content shown in Fig. 2, when practical application
Multiple similar images for user selections are stored in terminal to use.
The size and resolution ratio of image should be predefined according to the parameter of display screen, need to make user apart from farther out
Position cannot see the content of the first image clearly completely, and the content of the first image can be seen clearly in short distance.S2, response are extraneous
It operates and shoots the second image, user is understood that mode of operation when using scheme provided by the invention, that is, needs user sharp
One eye eyeball, and the first image by presenting on unshaded eyes viewing screen are covered with object of reference, while from far to close
Place moves or display device, so that the first image is gradually close to eyes, when user can see the first image clearly just
Controlling terminal is towards oneself the second image of face shots.It is so-called see the pattern referred on picture clearly and be incident on eyes can assemble just
On the retina, what user experienced is the clear-cut margin under this distance, in image, and even if user draws closer together,
The sharp keen sense at edge not will increase, this degree needs to carry out subjective judgement by user, can shoot when reaching quoad hoc when assert
Second image.
Operating in this manner should be including the image of user's face and object of reference in the second taken image.Using intelligence
When the energy equipment such as mobile phone or tablet computer execute this method, the preposition of equipment can be opened while the first image is presented and taken the photograph
As head, and content of finding a view is not shown on screen；A region can certainly be divided to show content of finding a view to avoid mistakenly
Shooting angle guarantees to include user's face and object of reference in the second image.
Photographic device between user at a distance from should and display the first image screen between user at a distance from it is identical, preferably
It is wholely set for photographic device and screen；It should be ensured that the position of photographic device as far as possible when realizing this method by seperated equipment
Close to the position where display screen.The mode that external operation is taken pictures can there are many, such as can be key shooting, be also possible to
Taken pictures by sound control, facial expression control etc..According to correct application method, user should be in feelings as shown in Figure 3
Under shape, the first image on screen 31 is clearly viewed by the eyes that not referenced object covers, and shoot by camera 32
To image as shown in Figure 4, there is object of reference image 41 in Fig. 4.
S3 identifies object of reference from the second image and determines the image size of object of reference, and object of reference is previously selected object
Body, the object should have standard size, such as can choose the general card etc. of coin, bank, and the present invention can permit
User uses one of a variety of objects of reference.This parameter can there are many situations for image size, for different objects of reference, institute
The Dimension Types that need to be obtained are not also identical, such as can be length, integral diameter, the entire area on object of reference image one side
Deng.The object of reference that the present embodiment uses, which is one, has standard-sized card (credit card or deposit card etc.), and selects to make
Subsequent calculating is carried out with the length AD of the object of reference image 41 in Fig. 4.
S4 determines the diopter of measured according to the image size of object of reference, and the range measurement principle based on similar triangles can
Know, when user hand holds piece the second image of shooting, card is closer away from camera, and card image is bigger in the picture；Away from camera shooting
Head is remoter, and card is smaller in the second image.Specifically, in a certain range, by reasonable approximation, similar triangle can be used
Shape principle indicates the card image size with card away from the relationship at a distance from camera.Namely it is true by referring to the image size of object
Determine the distance between user's eye and this terminal.
It will be understood by those skilled in the art that in the field of medicine, the diopter of eyes is 0, parallel incident light is indicated
Line can converge on retina just, also mean that the object that can see infinity clearly.For normal adult, bend
Luminosity is all emmetropia (not near-sighted also not long sight, twenty-twenty vision) between positive and negative 0.75, for minor, not the same year
The emmetropia power range in age is different.
When diopter sees object clearly equal to people just, inverse of the object away from human eye distance.Such as diopter 0.75 is corresponding
1.33 meters, if indicating to see that the object outside 1.33 meters is very clear for adult, it is shown to be emmetropia.If object is away from people
0.5 meter of eye can just be seen clearly (without ghost image), then diopter is 2, if wearing near-sighted glasses correction, corresponding near-sighted glasses degree is
200 degree.
There are many in such a way that image size calculates distance and then calculates diopter, such as it can use the shadow of object of reference
The coefficient demarcated as size and in advance calculates distance, or is calculated using the image size of object of reference and the actual size of object of reference
Distance, and then it is converted into the value of diopter.
The method for detecting diopter based on object of reference provided according to embodiments of the present invention, by presenting on a terminal screen
For detecting the image of diopter, and contain from user itself operating terminal to itself face shots the image of object of reference image,
And then the diopter of eyes of user is calculated by the image size of object of reference in shot image, which can be by common
Electronic equipment complete, and do not need professional's interference, operated by user oneself, there is stronger convenience.
In order to guide user correctly to operate detection process, some prompt letters can also be presented before above-mentioned steps S2
Breath, such as the second image opportunity of shooting can be prompted, i.e. prompt detected person is in the case where that can see the first image clearly, control
Photographic device in terminal is shot to the face of detected person to obtain the second image；
Detected person can also be prompted to hold the posture of object of reference, such as hand-held object of reference covers one eye eyeball；
The mode of distance between adjustment terminal and detected person can also be prompted, such as prompt user should be from distant place to nearby
This mobile terminal.
Specifically can perhaps the mode or the two of flash demo combine by way of explanatory note mode into
Row prompt.
It shows that the operating efficiency of user and the accuracy of detection can be improved in prompt information, but is not necessarily clapping every time
It is prompted, such as can only be prompted when using for the first time, or user demand is answered to select to carry out according to user before taking the photograph
Prompt, naturally it is also possible to be checked at any time as help text for user.
For above-mentioned steps S4, the present invention provides two preferred embodiments.In first preferred embodiment, image ruler
Very little is the image length of object of reference.Before using this method, need first to demarcate two parameters.Specifically, this method is being used
Before, the length of object of reference image in clapped image can be then measured by manufacturer in the known distance photographs object of reference,
This image shot is known as testing image, the parameter demarcated is the shooting distance h of testing image0In testing image
The image length l of object of reference0。
Further, it can use the diopter that following formula determines measured in above-mentioned steps S4:
Wherein, D is diopter, h0Object of reference wraps in test image at a distance from photographic device when to shoot test image
Include the image of object of reference, l0For the image length of the object of reference in test image, l1Image for the object of reference in the second image is long
Degree.
In second preferred embodiment, image size is the imagery coverage of object of reference, and imagery coverage can pass through machine
Visual theory is directly identified from image using the quantity of pixel, can also be obtained by calculation.Such as rectangular
Object of reference can identify image length and width reference area；It can be by identifying diameter calculation area for round object of reference.
Before using this method, need first to demarcate two parameters.Specifically, using before this method, can by manufacturer at one
Know apart from the photographs object of reference, then measure the area of object of reference image in clapped image, the image of this shooting is known as surveying
Image is tried, the parameter demarcated is the shooting distance h of testing image0With the imagery coverage S of the object of reference in testing image0。
Further, it can use the diopter that following formula determines measured in above-mentioned steps S4:
Wherein, D is diopter, h0Object of reference wraps in test image at a distance from photographic device when to shoot test image
Include the image of object of reference, S0For the imagery coverage of the object of reference in test image, S1For the image plane of the object of reference in the second image
Product.
For above-mentioned steps S3, the present invention provides two preferred embodiments.
In one embodiment, image size can be identified using machine learning model.Those skilled in the art can be with
Understand, then needs to construct model using a large amount of training datas using the mode of machine learning, the present embodiment constructs in advance to be contained
The image data collection of portrait and marker, and position and size of the record standard object of reference in picture are as picture
Label.
To have the credit card of magnetic stripe or deposit card as marker behind.Image data collection can be by giving hand
The people that the piece that holds blocks eyes takes pictures to obtain, and the picture of simulation actual scene can also be generated by computer.It is specific: will not
Same size, the card of different colours, arbitrarily to rotate angle, arbitrary position is put on portrait picture, is obtained face and is posted
The portrait picture of card.The size of recording card and the position on picture are wanted while putting card.
The identification model built with image data collection and label training, enables model criterion of identification object of reference (card)
Position and size in picture.
Identification model can be realized with convolutional neural networks, with a large amount of image data collection for simulating actual scenes and accordingly
Card dimensions and location information training neural network, can the size of identification card and position in reality scene.
After training obtains identification model, step S3 is are as follows: using the second image as the input data of machine recognition model,
So that the image size of machine recognition model output object of reference.Machine recognition model is to utilize multiple training images and training label
It obtains, wherein there is portrait and object of reference image, training label includes object of reference image in training image in training image
Position and size.
Before this product is supplied to user, manufacturer can be used a variety of a variety of models of object of reference training, and to user
Introduction can permit the object of reference used, and the image size of object of reference is determined in the way of machine learning, can be very big
Degree improves the flexibility of this programme.
In the second embodiment, traditional machine vision mode can be used to determine image size, in the case
The type of object of reference is had certain limitations, the object of reference for selecting that there are certain features is needed, is preferably had in the present embodiment
The card of magnetic stripe.
In the case, step S3 includes the following steps:
The second image is converted gray level image by S31, and there are many modes that color image is switched to gray level image, selects
Existing color conversion mode is all feasible；
S32 determines the magnetic stripe image of card according to the lines of gray level image, due to the color feature of magnetic stripe, so that gray scale
The image of magnetic stripe is fairly obvious in image, is rendered as the strip of black, can find magnetic stripe shadow according to the shape feature of lines
The position of picture；
S33 determines the size of magnetic stripe image, and since magnetic stripe runs through entire card, i.e. the length of magnetic stripe is object of reference
Length.
The image size of object of reference can be calculated in real time according to the actual situation using traditional Machine Vision Recognition mode, this
Scheme accuracy with higher.
The present embodiment also provides a kind of electronic equipment, including at least one processor and at least one described processor
The memory of communication connection；Wherein, the memory is stored with the instruction that can be executed by least one described processor, the finger
It enables and being executed by least one described processor, so that at least one described processor executes the above-mentioned diopter inspection based on object of reference
Survey method.
Obviously, the above embodiments are merely examples for clarifying the description, and does not limit the embodiments.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of variation or
It changes.There is no necessity and possibility to exhaust all the enbodiments.And it is extended from this it is obvious variation or
It changes still within the protection scope of the invention.
Claims (10)
1. a kind of method for detecting diopter based on object of reference characterized by comprising
The first image is presented on a terminal screen；
The second image is shot in response to external operation；
Object of reference is identified from second image and determines the image size of the object of reference；
The diopter of measured is determined according to the image size of the object of reference.
2. the method according to claim 1, wherein the image size is the image length of object of reference.
3. according to the method described in claim 2, it is characterized in that, determining the diopter of measured using following formula:
Wherein, D is diopter, h0The object of reference is at a distance from photographic device when to shoot test image, in the test image
Image including the object of reference, l0For the image length of the object of reference in the test image, l1For second image
In the object of reference image length.
4. the method according to claim 1, wherein the image size is the imagery coverage of object of reference.
5. according to the method described in claim 4, it is characterized in that, determining the diopter of measured using following formula:
Wherein, D is diopter, h0The object of reference is at a distance from photographic device when to shoot test image, in the test image
Image including the object of reference, S0For the imagery coverage of the object of reference in the test image, S1For second image
In the object of reference imagery coverage.
6. the method according to claim 1, wherein described identify object of reference and determination from second image
The image size of the object of reference, comprising:
Using second image as the input data of machine recognition model, so that the machine recognition model exports the reference
The image size of object, the machine recognition model is obtained using multiple training images and training label, wherein the training
There is portrait and object of reference image in image, the trained label include position of the object of reference image in training image and
Size.
7. the method according to claim 1, wherein the object of reference is the card with magnetic stripe.
8. the method according to the description of claim 7 is characterized in that described identify object of reference and determination from second image
The image size of the object of reference, comprising:
Gray level image is converted by second image；
The magnetic stripe image of the card is determined according to the lines of the gray level image；
Determine the size of magnetic stripe image.
9. the method according to claim 1, wherein before the second image of the acquisition the step of, further includes:
Prompt information is presented on a terminal screen, to prompt detected person in the case where the first image can be seen clearly, control
The photographic device in the terminal is made to be shot to the face of detected person to obtain the second image；And/or prompt is detected
Person holds the posture of the object of reference；And/or prompt adjusts the mode of distance between terminal and detected person.
10. a kind of electronic equipment characterized by comprising at least one processor and logical at least one described processor
Believe the memory of connection；Wherein, the memory is stored with the instruction that can be executed by least one described processor, described instruction
It is executed by least one described processor, so that at least one described processor perform claim requires described in any one of 1-9
Method for detecting diopter based on object of reference.
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| CN111803022A (en) * | 2020-06-24 | 2020-10-23 | 深圳数联天下智能科技有限公司 | Vision detection method, detection device, terminal equipment and readable storage medium |
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| 任守乐: "《光的传播》", 30 September 1998, 山东教育出版社 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111803022A (en) * | 2020-06-24 | 2020-10-23 | 深圳数联天下智能科技有限公司 | Vision detection method, detection device, terminal equipment and readable storage medium |
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