CN116725479A - Self-help optometry instrument and self-help optometry method - Google Patents
Self-help optometry instrument and self-help optometry method Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 210000001747 pupil Anatomy 0.000 claims abstract description 157
- 238000005259 measurement Methods 0.000 claims abstract description 145
- 238000001514 detection method Methods 0.000 claims description 32
- 238000011156 evaluation Methods 0.000 claims description 17
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- 238000002360 preparation method Methods 0.000 claims description 6
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- 230000000903 blocking effect Effects 0.000 claims description 2
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- 238000013528 artificial neural network Methods 0.000 description 6
- 238000013507 mapping Methods 0.000 description 6
- 238000012549 training Methods 0.000 description 6
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- 208000001491 myopia Diseases 0.000 description 1
- 230000004379 myopia Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/11—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring interpupillary distance or diameter of pupils
- A61B3/112—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring interpupillary distance or diameter of pupils for measuring diameter of pupils
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Abstract
The invention provides a self-help optometry instrument and a self-help optometry method, which belong to the technical field of medical instruments and specifically comprise the following steps: taking the adjusting range as a constraint condition, acquiring measurement results of diopter of a user under the set brightness of different facula images, and determining measurement accuracy of the measurement results of diopter of the user under the set brightness by combining the area of the pupil of the user under the set brightness and the image definition of the pupil image; and taking the measurement result with the measurement accuracy meeting the requirement as an alternative measurement result, outputting the diopter of the user according to the alternative measurement result, and outputting the diopter accuracy of the user according to the diopter measurement accuracy of the user under different set brightness and the number of the alternative measurement results, so that the diopter of the user is accurately measured.
Description
Technical Field
The invention belongs to the technical field of medical instruments, and particularly relates to a self-help optometry instrument and a self-help optometry method.
Background
Along with the high frequency and low age of myopia, the self-help optometry instrument is promoted on a large scale with the professional and convenience, so how to use the self-help optometry instrument to conveniently and efficiently acquire diopter of a user becomes a technical problem to be solved.
In the prior art, in order to achieve the acquisition of diopter of a user, in the prior art, for example, in the invention patent CN114468979a "diopter measuring device and portable optometry device thereof", an annular light spot image formed by an imaging lens group is analyzed, so as to obtain annular light spot image information and determine a refraction detection result, but the following technical problems exist:
in the diopter detection process, the exclusion of abnormal diopter detection data of a user is not considered, specifically, the pupil size of the user directly influences the diopter detection accuracy, and the pupil size of the user may change due to stress or fatigue and other reasons, so that if the abnormal diopter detection data cannot be excluded, the accurate diopter detection cannot be accurately realized.
In the diopter detection process, the accuracy of diopter detection can be improved by the aid of the high brightness of the facula image, meanwhile, eye fatigue of a user can be caused by the fact that the accuracy of diopter detection is affected, and therefore if multiple factors cannot be comprehensively considered to confirm the brightness of the facula image, accurate diopter detection cannot be achieved accurately.
Aiming at the technical problems, the invention provides a self-help optometry instrument and a self-help optometry method.
Disclosure of Invention
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
according to one aspect of the present invention, a self-service optometry method is provided.
The self-help optometry method is characterized by comprising the following steps of:
acquiring the face position of a user, determining pupil data of the user according to an eye image of the user after the face position of the user reaches a designated position, determining a detection state value of the user by combining the pupil shielding condition of the user, and entering the next step when the detection state value of the user meets the requirement;
dynamically adjusting the brightness of the facula images entering the pupils of the user through a preset adjusting step length to obtain a plurality of groups of adjusting brightness, and determining the adjusting range of the brightness of the facula images by combining the fluctuation condition of the area of the pupils of the user under different adjusting brightness;
taking the adjusting range as a constraint condition, acquiring measurement results of diopter of a user under the set brightness of different facula images, and determining measurement accuracy of the measurement results of diopter of the user under the set brightness by combining the area of the pupil of the user under the set brightness and the image definition of the pupil image;
and taking the measurement result with the measurement accuracy meeting the requirement as an alternative measurement result, outputting the diopter of the user according to the alternative measurement result, and outputting the diopter accuracy of the user according to the diopter measurement accuracy of the user under different set brightness and the number of the alternative measurement results.
The further technical scheme is that judging whether the face position of the user reaches the appointed position or not specifically comprises:
determining whether the facial position of the user reaches a specified position according to the pressure condition of the facial and facial mask components of the user.
A further technical solution is that the pupil data of the user includes, but is not limited to, the area of the pupil, the pupil shape.
The further technical scheme is that the method for determining the brightness adjusting range of the facula image comprises the following steps:
determining the maximum value of the brightness of the spot image through a preset adjusting range of the brightness of the spot image, dynamically adjusting the brightness of the spot image through the preset adjusting step length by taking the maximum value of the brightness of the spot image as a reference to obtain the area of the pupil of a user under different adjusting brightness, and screening the adjusting brightness by taking the area threshold as a constraint condition to obtain screened adjusting brightness;
determining the fluctuation amount and the fluctuation rate of the area of the pupil under the screened brightness according to the fluctuation amount and the fluctuation rate of the area of the pupil under the screened brightness, and further screening the screened brightness according to the fluctuation amount and the fluctuation rate of the area of the pupil under the screened brightness to obtain the brightness to be selected;
and determining the pupil fluctuation estimated quantity under the brightness to be selected according to the fluctuation quantity, the fluctuation speed and the area of the pupil under the brightness to be selected, and determining the adjustment range of the brightness of the facula image according to the pupil fluctuation estimated quantity and the brightness to be selected.
The further technical scheme is that the determination of the adjustment range of the brightness of the facula image specifically includes:
and determining the adjustment range of the brightness of the facula image according to the brightness to be selected, the pupil fluctuation evaluation quantity of which meets the requirement.
The further technical scheme is that the set brightness is determined according to the adjusting range and a second preset adjusting step length, and the specific second preset adjusting step length is larger than the preset adjusting step length.
In a second aspect, the present invention provides a self-service optometry apparatus, which adopts the self-service optometry method, and is characterized in that the self-service optometry apparatus specifically includes:
preparing a module; a measurement module; the preparation module comprises a detection state determination module and an adjustment range determination module; the measuring module comprises a data accuracy module and a result output module;
the detection state determining module is responsible for acquiring the face position of a user, determining pupil data of the user according to the eye image of the user after the face position of the user reaches a designated position, and determining a detection state value of the user in combination with the pupil shielding condition of the user;
the adjusting range determining module is responsible for dynamically adjusting the brightness of the facula images entering the pupils of the user through a preset adjusting step length to obtain a plurality of groups of adjusting brightness, and determining the adjusting range of the brightness of the facula images by combining the fluctuation condition of the area of the pupils of the user under different adjusting brightness;
the data preparation module is in charge of acquiring measurement results of diopter of a user under the set brightness of different facula images by taking the adjustment range as a constraint condition, and determining measurement accuracy of the measurement results of diopter of the user under the set brightness by combining the area of the pupil of the user under the set brightness and the image definition of the pupil image;
the result output module is responsible for taking the measurement result with the measurement accuracy meeting the requirement as an alternative measurement result, outputting the diopter of the user according to the alternative measurement result, and outputting the diopter accuracy of the user according to the diopter measurement accuracy of the user under different set brightness and the number of the alternative measurement results.
The invention has the beneficial effects that:
the detection state value of the user is determined according to the pupil data and the pupil shielding condition of the user, so that the problem that the accuracy of a measurement result is low due to the defect of the pupil area or the pupil shape of the user is solved, the shielding condition of serious eyelashes and the like is confirmed, and the measurement efficiency and accuracy are further improved.
The adjustment range of the brightness of the facula image is determined by combining the fluctuation conditions of the areas of the pupils of the user under different adjustment brightness, so that the adjustment range of the brightness of the user is determined from two angles of the safety and the measurement accuracy of the eyes of the user, and the basis is also laid for realizing the accurate evaluation of the diopter of the user by combining diopters under different brightness.
The diopter and the accuracy of the diopter are output by comprehensively considering various factors, the diopter is output by combining the measurement results under multiple brightness, the measurement accuracy is further ensured, and meanwhile, the accuracy output also lays a foundation for further carrying out differential diopter evaluation.
Additional features and advantages will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings;
FIG. 1 is a flow chart of a self-service optometry method according to example 1;
FIG. 2 is a flow chart of a method of determination of a user's detection status value according to embodiment 1;
fig. 3 is a flowchart of a method of determining the adjustment range of the brightness of the flare image according to embodiment 1;
FIG. 4 is a flow chart of a method of determining a user's diopter according to embodiment 1;
fig. 5 is a frame diagram of a self-service refractor according to example 2.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present disclosure.
Example 1
In order to solve the above problems, according to one aspect of the present invention, as shown in fig. 1, there is provided a self-service optometry method according to one aspect of the present invention, which is characterized by comprising:
acquiring the face position of a user, determining pupil data of the user according to an eye image of the user after the face position of the user reaches a designated position, determining a detection state value of the user by combining the pupil shielding condition of the user, and entering the next step when the detection state value of the user meets the requirement;
in this embodiment, the method is mainly used for identifying a user with an abnormal pupil shape, a small area or a blocked pupil with false eyelashes or excessively long eyelashes, so that the abnormal user is identified at the beginning, and the overall efficiency is improved.
Specifically, determining whether the face position of the user reaches a specified position specifically includes:
determining whether the facial position of the user reaches a specified position according to the pressure condition of the facial and facial mask components of the user.
The pupil data of the user includes, but is not limited to, the area of the pupil and the pupil shape.
Generally, the pupil of a human body is disc-shaped, the normal value of the diameter of the pupil is 2.5-5mm, and the measurement accuracy of pupils in other forms such as pear shapes, elliptic shapes, quincuncial shapes and the like is obviously low, so that an abnormal user must be identified first.
As shown in fig. 2, the method for determining the detection status value of the user is as follows:
s21, determining the pupil shape of the user through pupil data of the user, judging whether the pupil shape of the user is an abnormal pupil shape, if so, determining that the user is an abnormal user, and not detecting diopter of the user, and if not, entering the next step;
s22, determining the area of the pupil of the user through pupil data of the user, judging whether the area of the pupil of the user meets the requirement, if not, determining that the user is an abnormal user, and not detecting diopter of the user, if so, entering the next step;
s23, determining the pupil shielding area of the user according to the pupil shielding condition of the user, and determining whether the user meets the requirement according to the number of cutting areas formed after the pupil of the user is shielded by a shielding object, if so, entering the next step, and if not, determining that the user is an abnormal user, and cannot detect diopter of the user;
specifically, determining the pupil shielding area of the user according to the pupil shielding condition of the user, and determining whether the user meets the requirement according to the number of cutting areas formed after the pupil of the user is shielded by a shielding object, specifically including:
and when any one of the pupil shielding area of the user, the ratio of the pupil shielding area to the area of the pupil of the user and the number of cutting areas formed after the pupil of the user is shielded by the shielding object does not meet the requirement, determining that the user does not meet the requirement.
S24, determining the pupil shielding evaluation quantity of the user according to the pupil shielding area of the user, the ratio of the pupil shielding area to the area of the pupil of the user, the number of cutting areas formed after the pupil of the user is shielded by the shielding object and the maximum area of the cutting areas, and determining the detection state value of the user according to the pupil shielding evaluation quantity of the user and the area of the pupil.
The number of the cutting areas formed after the pupil of the user is blocked by the blocking object is determined according to the analysis result of the pupil image of the user.
It should be noted that, by determining the detection state value of the user according to the pupil data and the pupil shielding condition of the user, the problem that the accuracy of the measurement result is low due to the defect of the pupil area or the pupil shape of the user is avoided, and meanwhile, the confirmation of the shielding condition such as serious eyelashes is realized, so that the efficiency and the accuracy of measurement are further improved.
Dynamically adjusting the brightness of the facula images entering the pupils of the user through a preset adjusting step length to obtain a plurality of groups of adjusting brightness, and determining the adjusting range of the brightness of the facula images by combining the fluctuation condition of the area of the pupils of the user under different adjusting brightness;
in this embodiment, by combining the variation condition of the pupil area of the user, the influence of brightness on the image quality is considered, and the influence on the pupil area of the user is also considered, so that a better brightness adjustment range is determined, and a foundation is laid for further ensuring the accuracy of diopter measurement.
In this embodiment, the determination of the adjustment range of the brightness of the flare image is performed by combining the variation conditions of the areas of the pupils of the user under different adjustment brightness, so that the determination of the adjustment range of the brightness of the user from two angles of the safety and the measurement accuracy of the eyes of the user is realized, and the basis is also laid for realizing the accurate evaluation of the diopter of the user by combining the diopter under different brightness.
As shown in fig. 3, the method for determining the adjustment range of the brightness of the flare image includes:
determining the maximum value of the brightness of the spot image through a preset adjusting range of the brightness of the spot image, dynamically adjusting the brightness of the spot image through the preset adjusting step length by taking the maximum value of the brightness of the spot image as a reference to obtain the area of the pupil of a user under different adjusting brightness, and screening the adjusting brightness by taking the area threshold as a constraint condition to obtain screened adjusting brightness;
determining the fluctuation amount and the fluctuation rate of the area of the pupil under the screened brightness according to the fluctuation amount and the fluctuation rate of the area of the pupil under the screened brightness, and further screening the screened brightness according to the fluctuation amount and the fluctuation rate of the area of the pupil under the screened brightness to obtain the brightness to be selected;
and determining the pupil fluctuation estimated quantity under the brightness to be selected according to the fluctuation quantity, the fluctuation speed and the area of the pupil under the brightness to be selected, and determining the adjustment range of the brightness of the facula image according to the pupil fluctuation estimated quantity and the brightness to be selected.
The specific illustration, wherein the pupil fluctuation assessment is determined by optimizing the ELM neural network by using a seagull algorithm, wherein the initial weight and the initial threshold of the ELM neural network are optimized by using the seagull algorithm, the defect of random assignment of the basic ELM neural network is overcome, the model parameters are close to the optimal setting, thereby improving the generalization capability and the prediction precision of the model, meanwhile, in order to ensure the randomness of the initial value of the seagull algorithm, the chaotic initial value is added when the initial value of the seagull algorithm is optimized, the improved seagull algorithm is re-optimized to the ELM neural network, the prediction model is built, and the SOA-ELM neural network prediction model comprises the following steps:
step 1: the original data set is input, wherein the original data set comprises the fluctuation amount, the fluctuation rate and the area of the pupil under the brightness to be adjusted, and the data set is divided into a training set and a testing set.
Step 2: and carrying out data preprocessing and carrying out normalization processing on the data set.
Step 3: and constructing an ELM neural network model.
Step 4: and constructing a seagull optimizer, and setting an initial weight matrix and a bias matrix of the ELM neural network as seagull positions.
Step 5: model training, namely inputting a training set in a data set into a model for training, stopping training when the error is lower than a preset error, and otherwise, continuing training.
Step 6: and outputting a prediction result, carrying out error analysis on the output prediction data and a test set in the data set, and calculating whether the accuracy is achieved.
When needing to be described, the logic chaotic mapping is a classical chaotic mapping mode, has the characteristics of randomness, ergodic property, strong divergence and the like, and is widely applied to population initialization of a swarm intelligent algorithm. One-dimensional Logistic mapping is a very simple chaotic mapping that was used by the active scientist to describe the population changes as early as the 50 s of the 20 th century. The chaotic mapping is used for population initialization, so that premature algorithm and local maximum sinking can be effectively avoided, and the convergence speed and precision of the algorithm are improved. The initial population generated by the chaotic map has better diversity, and the initial solutions are more uniformly distributed in the search space, so that the efficiency of the algorithm can be effectively improved.
The formula of the logics chaotic mapping function is as follows:
specifically, the determining the adjustment range of the brightness of the facula image specifically includes:
and determining the adjustment range of the brightness of the facula image according to the brightness to be selected, the pupil fluctuation evaluation quantity of which meets the requirement.
Taking the adjusting range as a constraint condition, acquiring measurement results of diopter of a user under the set brightness of different facula images, and determining measurement accuracy of the measurement results of diopter of the user under the set brightness by combining the area of the pupil of the user under the set brightness and the image definition of the pupil image;
it should be noted that, the set brightness is determined according to the adjustment range and a second preset adjustment step length, and the specific second preset adjustment step length is greater than the preset adjustment step length.
Specifically, the method for determining the measurement accuracy of the measurement result of the diopter of the user under the set brightness comprises the following steps:
s31, determining the measurement deviation amount of the diopter of the user under the set brightness of the facula image and the measurement deviation amount of the diopter of the user under other set brightness through the measurement result of the diopter of the user under the set brightness, determining whether the accuracy of the measurement result of the diopter of the user under the set brightness of the facula image meets the requirement or not through the measurement deviation amount, if yes, determining the measurement accuracy of the measurement result of the diopter of the user under the set brightness through the measurement deviation amount, and if not, entering the next step;
s32, acquiring the area of the pupil of the user under the set brightness, judging whether the area of the pupil of the user under the set brightness meets the requirement, if so, entering the next step, and if not, determining that the measurement accuracy of the diopter measurement result of the user under the set brightness of the facula image cannot meet the requirement;
s33, acquiring the definition of the pupil image of the user under the set brightness, judging whether the definition of the pupil image of the user under the set brightness meets the requirement, if so, entering the next step, and if not, determining that the measurement accuracy of the diopter measurement result of the user under the set brightness of the facula image cannot meet the requirement;
s34, determining the measurement accuracy of the measurement result of the diopter of the user at the set brightness by the image definition of the pupil image, the pupil area and the measurement deviation amount of the user at the set brightness.
And taking the measurement result with the measurement accuracy meeting the requirement as an alternative measurement result, outputting the diopter of the user according to the alternative measurement result, and outputting the diopter accuracy of the user according to the diopter measurement accuracy of the user under different set brightness and the number of the alternative measurement results.
As shown in fig. 4, the method for determining the diopter of the user is as follows:
acquiring the alternative measurement results, taking the alternative measurement results with the measurement accuracy greater than the accuracy setting amount as accurate measurement results, judging whether the number of the accurate measurement results is greater than the set result number, if so, determining the diopter of the user according to the accurate measurement results and the measurement accuracy of the accurate measurement results, and if not, entering the next step;
determining a diopter evaluation value of the accurate measurement result of the user according to the accurate measurement result and the measurement accuracy of the accurate measurement result, taking an alternative measurement result except the accurate measurement result as a residual measurement result, and determining the diopter evaluation value of the residual measurement result of the user according to the residual measurement result and the measurement accuracy of the residual measurement result;
and respectively determining the weight of the diopter evaluation value of the residual measurement result and the weight of the diopter evaluation value of the accurate measurement result by the number of the residual measurement results and the average value of the measurement accuracy, the number of the accurate measurement results and the average value of the measurement accuracy, and determining the diopter of the user by combining the diopter evaluation value of the residual measurement result and the diopter evaluation value of the accurate measurement result.
Specifically, the method for determining the accuracy of the diopter of the user comprises the following steps:
s41, judging whether the number of accurate measurement results of the user is larger than the number of set results, if so, determining the accuracy of diopter of the user through the average value of the measurement accuracy of the accurate measurement results, and if not, entering the next step;
s42, judging whether the number of the alternative measurement results of the user is larger than the number of the set alternative results, if so, entering a step S43, and if not, entering a step S44;
s43, obtaining the measurement quantity of diopters of the user under different set brightness, determining whether the accuracy of the diopters of the user meets the requirement by combining the measurement accuracy of the diopters of the user under different set brightness, if not, entering the next step, and if so, determining the accuracy of the diopters of the user by the average value of the measurement accuracy of the alternative measurement results;
s44 determines the accuracy of the diopter of the user according to the number and accuracy of the alternative measurement results of the user, the number and accuracy of the measurement of the diopter of the user at different set brightness.
The diopter and the accuracy of the diopter are output by comprehensively considering various factors, the diopter is output by combining the measurement results under multiple brightness, the measurement accuracy is further ensured, and meanwhile, the accuracy output also lays a foundation for further carrying out differential diopter evaluation.
Example 2
On the other hand, as shown in fig. 5, the present invention provides a self-service optometry apparatus, and the self-service optometry method is characterized by comprising:
preparing a module; a measurement module; the preparation module comprises a detection state determination module and an adjustment range determination module; the measuring module comprises a data accuracy module and a result output module;
the detection state determining module is responsible for acquiring the face position of a user, determining pupil data of the user according to the eye image of the user after the face position of the user reaches a designated position, and determining a detection state value of the user in combination with the pupil shielding condition of the user;
the adjusting range determining module is responsible for dynamically adjusting the brightness of the facula images entering the pupils of the user through a preset adjusting step length to obtain a plurality of groups of adjusting brightness, and determining the adjusting range of the brightness of the facula images by combining the fluctuation condition of the area of the pupils of the user under different adjusting brightness;
the data preparation module is in charge of acquiring measurement results of diopter of a user under the set brightness of different facula images by taking the adjustment range as a constraint condition, and determining measurement accuracy of the measurement results of diopter of the user under the set brightness by combining the area of the pupil of the user under the set brightness and the image definition of the pupil image;
the result output module is responsible for taking the measurement result with the measurement accuracy meeting the requirement as an alternative measurement result, outputting the diopter of the user according to the alternative measurement result, and outputting the diopter accuracy of the user according to the diopter measurement accuracy of the user under different set brightness and the number of the alternative measurement results.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing is merely one or more embodiments of the present description and is not intended to limit the present description. Various modifications and alterations to one or more embodiments of this description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present description, is intended to be included within the scope of the claims of the present description.
Claims (10)
1. The self-help optometry method is characterized by comprising the following steps of:
acquiring the face position of a user, determining pupil data of the user according to an eye image of the user after the face position of the user reaches a designated position, determining a detection state value of the user by combining the pupil shielding condition of the user, and entering the next step when the detection state value of the user meets the requirement;
dynamically adjusting the brightness of the facula images entering the pupils of the user through a preset adjusting step length to obtain a plurality of groups of adjusting brightness, and determining the adjusting range of the brightness of the facula images by combining the fluctuation condition of the area of the pupils of the user under different adjusting brightness;
taking the adjusting range as a constraint condition, acquiring measurement results of diopter of a user under the set brightness of different facula images, and determining measurement accuracy of the measurement results of diopter of the user under the set brightness by combining the area of the pupil of the user under the set brightness and the image definition of the pupil image;
and taking the measurement result with the measurement accuracy meeting the requirement as an alternative measurement result, outputting the diopter of the user according to the alternative measurement result, and outputting the diopter accuracy of the user according to the diopter measurement accuracy of the user under different set brightness and the number of the alternative measurement results.
2. The self-help optometry method of claim 1, wherein determining whether the face position of the user has reached a specified position comprises:
determining whether the facial position of the user reaches a specified position according to the pressure condition of the facial and facial mask components of the user.
3. A self-help optometry method according to claim 1 wherein the pupil data of the user includes, but is not limited to, pupil area, pupil shape.
4. A self-service optometry method according to claim 1, wherein the method of determining the detection status value of the user is:
determining the pupil shape of the user according to the pupil data of the user, judging whether the pupil shape of the user is an abnormal pupil shape, if so, determining that the user is an abnormal user, and not detecting diopter of the user, otherwise, entering the next step;
determining the area of the pupil of the user according to the pupil data of the user, judging whether the area of the pupil of the user meets the requirement, if not, determining that the user is an abnormal user, and not detecting diopter of the user, if so, entering the next step;
determining the pupil shielding area of the user according to the pupil shielding condition of the user, and determining whether the user meets the requirement according to the number of cutting areas formed after the pupil of the user is shielded by a shielding object, if so, entering the next step, and if not, determining that the user is an abnormal user, and cannot detect diopter of the user;
and determining the pupil shielding evaluation quantity of the user according to the pupil shielding area of the user, the ratio of the pupil shielding area to the area of the pupil of the user, the number of cutting areas formed after the pupil of the user is shielded by the shielding object and the maximum area of the cutting areas, and determining the detection state value of the user according to the pupil shielding evaluation quantity of the user and the area of the pupil.
5. The self-help optometry method of claim 4, wherein the determining of the pupil shielding area of the user is performed according to the pupil shielding condition of the user, and the determining of whether the user meets the requirement is performed by combining the number of cutting areas formed after the pupil of the user is shielded by a shielding object, specifically includes:
and when any one of the pupil shielding area of the user, the ratio of the pupil shielding area to the area of the pupil of the user and the number of cutting areas formed after the pupil of the user is shielded by the shielding object does not meet the requirement, determining that the user does not meet the requirement.
6. A self-help optometry method according to claim 4, wherein the number of cut areas formed after the pupil of the user is blocked by the blocking object is determined according to the analysis result of the pupil image of the user.
7. The self-help optometry method of claim 1, wherein the method for determining the adjustment range of the brightness of the spot image is as follows:
determining the maximum value of the brightness of the spot image through a preset adjusting range of the brightness of the spot image, dynamically adjusting the brightness of the spot image through the preset adjusting step length by taking the maximum value of the brightness of the spot image as a reference to obtain the area of the pupil of a user under different adjusting brightness, and screening the adjusting brightness by taking the area threshold as a constraint condition to obtain screened adjusting brightness;
determining the fluctuation amount and the fluctuation rate of the area of the pupil under the screened brightness according to the fluctuation amount and the fluctuation rate of the area of the pupil under the screened brightness, and further screening the screened brightness according to the fluctuation amount and the fluctuation rate of the area of the pupil under the screened brightness to obtain the brightness to be selected;
and determining the pupil fluctuation estimated quantity under the brightness to be selected according to the fluctuation quantity, the fluctuation speed and the area of the pupil under the brightness to be selected, and determining the adjustment range of the brightness of the facula image according to the pupil fluctuation estimated quantity and the brightness to be selected.
8. The self-help optometry method of claim 7, wherein the determining of the adjustment range of the brightness of the spot image specifically comprises:
and determining the adjustment range of the brightness of the facula image according to the brightness to be selected, the pupil fluctuation evaluation quantity of which meets the requirement.
9. A self-help optometry method according to claim 1, characterized in that the method for determining the measurement accuracy of the measurement result of the diopter of the user at the set brightness is:
determining the measurement deviation amount of the diopter of the user under the set brightness of the facula image according to the deviation amount of the diopter of the user under the set brightness and the diopter of the user under other set brightness, determining whether the accuracy of the diopter of the user under the set brightness of the facula image meets the requirement or not according to the measurement deviation amount, if so, determining the measurement accuracy of the diopter of the user under the set brightness according to the measurement deviation amount, and if not, entering the next step;
acquiring the area of the pupil of the user under the set brightness, judging whether the area of the pupil of the user under the set brightness meets the requirement, if so, entering the next step, and if not, determining that the measurement accuracy of the measurement result of the diopter of the user under the set brightness of the facula image cannot meet the requirement;
acquiring the definition of the pupil image of the user under the set brightness, judging whether the definition of the pupil image of the user under the set brightness meets the requirement, if so, entering the next step, and if not, determining that the measurement accuracy of the diopter measurement result of the user under the set brightness of the facula image cannot meet the requirement;
and determining the measurement accuracy of the measurement result of the diopter of the user under the set brightness according to the image definition of the pupil image, the area of the pupil and the measurement deviation amount of the pupil image under the set brightness of the user.
10. A self-service optometry unit employing a self-service optometry method according to any one of claims 1 to 9, characterized in that it comprises in particular:
preparing a module; a measurement module; the preparation module comprises a detection state determination module and an adjustment range determination module; the measuring module comprises a data accuracy module and a result output module;
the detection state determining module is responsible for acquiring the face position of a user, determining pupil data of the user according to the eye image of the user after the face position of the user reaches a designated position, and determining a detection state value of the user in combination with the pupil shielding condition of the user;
the adjusting range determining module is responsible for dynamically adjusting the brightness of the facula images entering the pupils of the user through a preset adjusting step length to obtain a plurality of groups of adjusting brightness, and determining the adjusting range of the brightness of the facula images by combining the fluctuation condition of the area of the pupils of the user under different adjusting brightness;
the data preparation module is in charge of acquiring measurement results of diopter of a user under the set brightness of different facula images by taking the adjustment range as a constraint condition, and determining measurement accuracy of the measurement results of diopter of the user under the set brightness by combining the area of the pupil of the user under the set brightness and the image definition of the pupil image;
the result output module is responsible for taking the measurement result with the measurement accuracy meeting the requirement as an alternative measurement result, outputting the diopter of the user according to the alternative measurement result, and outputting the diopter accuracy of the user according to the diopter measurement accuracy of the user under different set brightness and the number of the alternative measurement results.
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