CN112401828A - Binocular visual signal-to-noise ratio balance degree detection system and detection method - Google Patents
Binocular visual signal-to-noise ratio balance degree detection system and detection method Download PDFInfo
- Publication number
- CN112401828A CN112401828A CN202110050831.XA CN202110050831A CN112401828A CN 112401828 A CN112401828 A CN 112401828A CN 202110050831 A CN202110050831 A CN 202110050831A CN 112401828 A CN112401828 A CN 112401828A
- Authority
- CN
- China
- Prior art keywords
- signal
- noise
- contrast
- image detection
- binocular
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
- A61B3/08—Subjective types, i.e. testing apparatus requiring the active assistance of the patient for testing binocular or stereoscopic vision, e.g. strabismus
Abstract
The invention provides a binocular signal-to-noise ratio balance degree detection system and a detection method, which solve the problems that the detection process of the existing binocular visual balance degree detection mode is complicated, the matching error exists on the basis of a plurality of detection visual targets, the image detection signals are converted in a plurality of states by using a state conversion module, a noise signal generator is used for generating noise signals, the left eye and the right eye observe the concave-convex state condition of the signals by distinguishing, the observation, adjustment and processing are integrated into a system on the basis of a plurality of detection visual targets, the detection processing process is flexible, the flexibility of binocular signal-to-noise ratio balance degree detection processing is improved, and the accuracy of the detection result is improved.
Description
Technical Field
The invention relates to the technical field of ophthalmic medical instruments, in particular to a binocular visual signal-to-noise ratio balance degree detection system and a binocular visual signal-to-noise ratio balance degree detection method.
Background
The human vision function assessment is finished by detecting vision, visual field, binocular vision function, light vision, color vision and the like, images formed by external objects at corresponding points of the retina of the two eyes are fused into a whole through a visual center, so that the human feels that the human does not feel two separated objects but a complete three-dimensional image, and the function is called the binocular single vision function. A binocular single vision is formed, and both eyes must have simultaneous perception, i.e., simultaneous vision. Good simultaneous perception is that the size, shape, definition, contrast and the respective reflected directions of images formed by the same object on the retinas of the left and right eyes are the same, the same adjustment is generated when the same-distance object is observed, the motion of the two eyes is the same as the target following capability, and the information transmission capability of the two eyes to the center is relatively balanced.
When one of the balance elements of the binocular image is broken, normal binocular vision may be affected, and the larger the difference is, the greater the effect is, until monocular suppression occurs, and binocular simultaneous perception function is lost. Fusion function and stereoscopy are not possible without simultaneous perception.
With the progress of scientific technology, a method and a system for detecting binocular vision balance degree are provided at present, for example, chinese patent with publication number CN110604541A and publication date of 2019, 12 and 24 proposes a binocular balance detection system and a detection method thereof, a detection target in a detection image is projected into a user's eye through a vision system, a detection terminal determines a visual inhibition point of the user through an observation result and an actual image combination result of the detection target, and determines a binocular balance state of the user according to the corresponding inhibition point data of the user at different visual inhibition points of the user at different visual target sizes, but when the left and right eyes are observed, the left and right eyes are detected through two detection targets with similar visual sensation height, and the detection target needs to be moved, and finally, a fitting operation is needed, the process is complicated, the detection is performed through two detection targets, and then fitting is performed, the self has a matching error, and the accuracy of the detection result is low.
Disclosure of Invention
The invention provides a binocular visual signal to noise ratio balance degree detection system and a detection method, aiming at solving the problems that the detection process of the existing binocular visual balance degree detection mode is complicated, and the matching error exists on the basis of a plurality of detection sighting marks.
In order to achieve the technical effects, the technical scheme of the invention is as follows:
a binocular visual balance detection system comprising:
the RDK random Gabor spot flicker model is used for generating an image detection signal, and the outline of the generated image detection signal forms a shape which can be recognized by human eyes;
a noise signal generator for generating a noise signal;
the contrast setting module is used for setting the contrast of the image detection signal and the contrast of the noise signal;
the state conversion module is used for converting the image detection signal generated by the RDK random Gabor spot flicker model into a plurality of states;
the noise signal contrast grading setting module is used for setting and dividing the contrast of the noise signal generated by the noise signal generator into a plurality of grades from low to high in sequence; the noise signal contrast level set by the noise signal contrast level setting module comprises 0%, 20%, 40%, 60%, 80% and 100%;
a polarization display for displaying the image detection signal and the noise signal;
the polarization observer is used for observing an image detection signal and a noise signal displayed by the polarization display when a user detects the binocular vision balance;
the statistic module is used for counting the stereoscopic concave-convex state condition that the outline of the image detection signal forms an identifiable shape observed and distinguished by human eyes of a user;
the comparison and judgment module is used for judging whether the binocular balance of the user meets the requirement or not according to the stereoscopic concave-convex state condition distinguished by the user;
the noise signal contrast traversing judgment module is used for judging whether the noise signal traverses all levels of noise signal contrast division;
and the balance degree detection output module is used for outputting a detection result of the binocular vision balance degree.
Preferably, the transformation type of the state transformation module transforming the image detection signal in several states includes: the random rotation state transformation, the 90-degree rotation state transformation, the phase reversal state transformation, the phase translation state transformation, the displacement state transformation and the normal state transformation are 6 space frequency transformation forms, and are also parameter changes of adjacent elements forming the outline of the image detection signal, so that the flexibility of the binocular signal-to-noise ratio balance degree detection system is improved.
Preferably, the binocular vision balance detection system is used for the left eye detection of the user, the user observes the image detection signal by the left eye and the noise signal by the right eye through the polarization observer; the binocular vision balance detection system is used for observing an image detection signal by the right eye and observing a noise signal by the left eye when the right eye of a user is detected; the noise signals generated by the noise generator are randomly and uniformly distributed in the image detection signal generation area, are uniformly distributed with the image detection signals, and have the same density.
Preferably, the image detection signal is generated by an RDK random Gabor spot scintillation model, and the model density and the scintillation frequency of the RDK random Gabor spot scintillation model are variable.
The invention also provides a binocular vision balance detection method, which is realized based on the binocular vision balance detection system and comprises the following steps:
s1, determining eyes to be detected of a user, generating an image detection signal by using an RDK random Gabor spot flicker model, and generating a noise signal by using a noise generator;
s2, setting the contrast of the image detection signal to be maintained at 100% by using a contrast setting module, and setting the initial value of the contrast of the noise signal to be 0%;
s3, converting the image detection signal in one of a plurality of conversion states by using a state conversion module;
s4, setting the contrast level of the noise signal by using a noise signal contrast level grading setting module;
s5, observing an image detection signal in a designated area of the polarization display by using a polarization observer, distinguishing the stereoscopic concave-convex state condition of an identifiable shape formed by the outline of the image detection signal, and counting the error condition of the stereoscopic concave-convex state distinguished by a user by using a counting module;
s6, changing the eye to be detected by the user, returning to execute the step S1-the step S5, and executing the step S7 after counting the stereoscopic concave-convex state mismatching condition distinguished by the user;
s7, according to the stereoscopic vision concave-convex state error condition distinguished by the user, obtaining the contrast ratio of left and right eye noise signals corresponding to the stereoscopic vision concave-convex state error condition, judging whether the binocular vision balance degree meets the requirement through a comparison and judgment module, if so, balancing binocular integration capacity, and executing the step S8; otherwise, the binocular vision signal-to-noise ratio is seriously unbalanced, the state transformation module transforms the state of the image detection signal and returns to the step S5;
s8, judging whether the current noise level traverses all the noise signal contrast levels or not through a noise signal contrast traversing judgment module, if so, executing a step S9; otherwise, the contrast level of the noise signal is changed, and the step S5 is returned to;
s9, judging whether the state of the image detection signal is converted, and if so, outputting a binocular vision balance detection result of the module through balance detection; otherwise, the state transition module transitions the state of the image detection signal and returns to step S5.
Preferably, at the start of detection, the image detection signal is shifted in a normal state in step S3.
Preferably, the comparison and judgment module in step S7 judges that the binocular vision balance satisfies the following requirements: the contrast of the left and right eye noise signals reaches more than 50%.
Preferably, the process of changing the noise signal contrast level detection in step S8 includes:
s81, starting from 0% of noise signal contrast, sequentially increasing according to the levels of 0%, 20%, 40%, 60%, 80% and 100%;
s82, recording the stereoscopic concave-convex state condition of the recognizable shape formed by the outline of the user resolution image detection signal for the grade of each time after the contrast of the noise signal is increased;
s83, judging whether the stereoscopic concave-convex state condition of the recognizable shape formed by the outline of the user resolution image detection signal is correct or not when the level of the noise signal contrast is changed every time, if so, increasing the level of the noise signal contrast by one level, and returning to the step S82; otherwise, the level of the contrast of the noise signal is reduced by one level, and the step S82 is returned;
s84, judging whether the grade change of the noise signal contrast has 5 concave-convex state situation resolution error inflection points, if so, determining the signal-to-noise ratio corresponding to the 5 concave-convex state situation resolution error inflection points, taking the average value of the signal-to-noise ratio contrast corresponding to the 5 concave-convex state situation resolution error inflection points as a binocular visual balance result, and taking the difference value of the signal-to-noise ratio contrast of the left eye and the right eye as a final inspection result; otherwise, return to step S83.
Preferably, the binocular visual balance detection result includes:
the contrast of the left eye noise signal and the right eye noise signal reaches 50% or above, and the contrast levels of the left eye noise signal and the right eye noise signal are the same, the binocular vision signal-to-noise ratio is balanced, and the binocular integration capability is strong;
the contrast of the left and right eye noise signals reaches 50% or above, and the contrast grade and phase difference D of the two eye noise signals meet the following conditions: when D is more than or equal to 10% and less than or equal to 50%, the visual signal-to-noise ratio of the eyes is unbalanced, but the integration capability of the eyes is strong;
the contrast of the left and right eye noise signals reaches 50% or below, and the contrast levels of the left and right eye noise signals are the same, the binocular visual signal-to-noise ratio is balanced, but the binocular integration capability is weak;
the contrast of the left eye noise signal and the contrast of the right eye noise signal reach 50% or below, and the contrast grade and the phase difference D of the two eye noise signals meet the following conditions: when D is more than or equal to 10% and less than or equal to 50%, the signal-to-noise ratio of the two eyes is unbalanced, and the integration ability of the two eyes is weak.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
the invention provides a binocular signal-to-noise ratio balance degree detection system and a detection method, wherein an image detection signal is generated by utilizing an RDK random Gabor spot scintillation model, the image detection signal is converted in a plurality of states by utilizing a state conversion module, a noise signal is generated by utilizing a noise signal generator, the left eye and the right eye distinguish the concave-convex state condition of an observation signal, the left eye and the right eye are not based on a plurality of detection sighting marks, the observation, adjustment and processing are integrated into one system, the detection processing process is flexible, the problems that the detection process of the existing binocular signal-to-noise ratio balance degree detection mode is complicated, and the matching error exists on the basis of the plurality of detection sighting marks are solved, the flexibility of binocular signal-to-noise ratio balance degree detection processing is improved, and the.
Drawings
Fig. 1 is a structural diagram of a binocular snr balance detection system according to an embodiment of the present invention;
FIG. 2 is a diagram showing an image detection signal according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an identifiable shape formed by the contour of the image detection signal according to the embodiment of the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for better illustration of the present embodiment, certain parts of the drawings may be omitted, enlarged or reduced, and do not represent actual dimensions;
it will be understood by those skilled in the art that certain well-known descriptions of the figures may be omitted.
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
Example 1
The structure diagram of the binocular snr balance detecting system shown in fig. 1, referring to fig. 1, includes:
the RDK random Gabor spot flicker model is used for generating an image detection signal, and the outline of the generated image detection signal forms a shape which can be recognized by human eyes;
a noise signal generator for generating a noise signal;
the contrast setting module is used for setting the contrast of the image detection signal and the contrast of the noise signal;
the state conversion module is used for converting the image detection signal generated by the RDK random Gabor spot flicker model into a plurality of states;
the noise signal contrast grading setting module is used for setting and dividing the contrast of the noise signal generated by the noise signal generator into a plurality of grades from low to high in sequence;
a polarization display for displaying the image detection signal and the noise signal;
the polarization observer is used for observing an image detection signal and a noise signal displayed by the polarization display when a user detects the binocular vision balance;
the statistic module is used for counting the stereoscopic concave-convex state condition that the outline of the image detection signal forms an identifiable shape observed and distinguished by human eyes of a user;
the comparison and judgment module is used for judging whether the binocular balance of the user meets the requirement or not according to the stereoscopic concave-convex state condition distinguished by the user;
the noise signal contrast traversing judgment module is used for judging whether the noise signal traverses all levels of noise signal contrast division;
and the balance degree detection output module is used for outputting a detection result of the binocular vision balance degree.
In this embodiment, the noise signal contrast levels set by the noise signal contrast level setting module include 0%, 20%, 40%, 60%, 80% and 100%, and the conversion types for the state conversion module to convert the image detection signal in several states include: the image detection system comprises a random rotation state transformation, a 90-degree rotation state transformation, a phase reversal state transformation, a phase translation state transformation, a displacement state transformation and a normal state transformation, which are 6 spatial frequency transformation forms and are also parameter changes of adjacent elements forming an image detection signal outline, and the flexibility of the binocular signal-to-noise ratio balance degree detection system is improved.
The binocular vision balance detection system is used for observing image detection signals by the left eye and observing noise signals by the right eye of a user through the polarization observer when the left eye of the user is detected; the binocular vision balance detection system is used for observing an image detection signal by the right eye and observing a noise signal by the left eye when the right eye of a user is detected; the noise signals generated by the noise generator are randomly and uniformly distributed in the image detection signal generation area, and are uniformly distributed with the image detection signals, and the density is the same as that of the image detection signals, as shown in a display diagram of the image detection signals shown in fig. 2, a small frame in the middle is C, and the C can be seen by two eyes no matter the binocular vision balance detection function of the left eye or the right eye is detected.
As shown in fig. 3, in this embodiment, an identifiable shape formed by an outline of an image detection signal is "Z", a zigzag shape in fig. 3 is formed by adjacent elements, each element is a conversion state of random rotation state conversion, 90-degree rotation state conversion, phase inversion state conversion, phase translation state conversion, displacement state conversion, and normal state conversion, the image detection signal is generated by the RDK random Gabor spot flicker model, and the model density and flicker frequency of the RDK random Gabor spot flicker model are both variable, that is, the initial signal point and the next frame switching rate of each frame are variable, and the spatial frequency is variable for patients with different vision abilities for processing different visual information for the handicapped people.
The invention also provides a binocular vision balance detection method, which comprises the following steps:
s1, determining eyes to be detected of a user, generating an image detection signal by using an RDK random gabor spot flicker model, and generating a noise signal by using a noise generator;
s2, setting the contrast of the image detection signal to be maintained at 100% by using a contrast setting module, and setting the initial value of the contrast of the noise signal to be 0%;
s3, converting the image detection signal in one of a plurality of conversion states by using a state conversion module;
s4, setting the contrast level of the noise signal by using a noise signal contrast level grading setting module;
s5, observing an image detection signal in a designated area of the polarization display by using a polarization observer, distinguishing the stereoscopic concave-convex state condition of an identifiable shape formed by the outline of the image detection signal, and counting the error condition of the stereoscopic concave-convex state distinguished by a user by using a counting module;
s6, changing the eye to be detected of the user, returning to execute the step S1-step S5, and counting the stereoscopic concave-convex state error condition distinguished by the user;
s7, according to the stereoscopic vision concave-convex state error condition distinguished by the user, obtaining the contrast ratio of left and right eye noise signals corresponding to the stereoscopic vision concave-convex state error condition, judging whether the binocular vision balance degree meets the requirement through a comparison and judgment module, if so, balancing binocular integration capacity, and executing the step S8; otherwise, the state conversion module converts the state of the image detection signal and returns to the step S4;
s8, judging whether the current noise level traverses all the contrast levels through a noise signal contrast traversing judgment module, and if so, outputting a binocular vision balance detection result through a balance detection output module; otherwise, the binocular vision signal-to-noise ratio is seriously unbalanced, the contrast level of the noise signal is changed, and the step S5 is returned.
In the present embodiment, the image detection signal is shifted in the normal state in step S3.
In step S7, the comparison and judgment module judges that the binocular vision balance satisfies the following requirements: the contrast of the left and right eye noise signals reaches more than 50%.
In this embodiment, the process of changing the noise signal contrast level detection in step S8 includes:
s81, starting from 0% of noise signal contrast, sequentially increasing according to the levels of 0%, 20%, 40%, 60%, 80% and 100%;
s82, recording the stereoscopic concave-convex state condition of the recognizable shape formed by the outline of the user resolution image detection signal for the grade of each time after the contrast of the noise signal is increased;
s83, judging whether the stereoscopic concave-convex state condition of the recognizable shape formed by the outline of the user resolution image detection signal is correct or not when the level of the noise signal contrast is changed every time, if so, increasing the level of the noise signal contrast by one level, and returning to the step S82; otherwise, the level of the contrast of the noise signal is reduced by one level, and the step S82 is returned;
s84, judging whether the grade change of the noise signal contrast has 5 concave-convex state situation resolution error inflection points, if so, determining the signal-to-noise ratio corresponding to the 5 concave-convex state situation resolution error inflection points, taking the average value of the signal-to-noise ratio contrast corresponding to the 5 concave-convex state situation resolution error inflection points as a binocular visual balance result, and taking the difference value of the signal-to-noise ratio contrast of the left eye and the right eye as a final inspection result; otherwise, return to step S83.
In this embodiment, the binocular visual balance detection result includes:
the contrast of the left eye noise signal and the right eye noise signal reaches 50% or above, and the contrast levels of the left eye noise signal and the right eye noise signal are the same, the binocular vision signal-to-noise ratio is balanced, and the binocular integration capability is strong;
the contrast of the left and right eye noise signals reaches 50% or above, and the contrast grade and phase difference D of the two eye noise signals meet the following conditions: when D is more than or equal to 10% and less than or equal to 50%, the visual signal-to-noise ratio of the eyes is unbalanced, but the integration capability of the eyes is strong;
the contrast of the left and right eye noise signals reaches 50% or below, and the contrast levels of the left and right eye noise signals are the same, the binocular visual signal-to-noise ratio is balanced, but the binocular integration capability is weak;
the contrast of the left eye noise signal and the contrast of the right eye noise signal reach 50% or below, and the contrast grade and the phase difference D of the two eye noise signals meet the following conditions: when D is more than or equal to 10% and less than or equal to 50%, the signal-to-noise ratio of the two eyes is unbalanced, and the integration ability of the two eyes is weak.
The positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent;
it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A binocular visual signal to noise ratio balance detection system, comprising:
the RDK random Gabor spot flicker model is used for generating an image detection signal, and the outline of the generated image detection signal forms a shape which can be recognized by human eyes;
a noise signal generator for generating a noise signal;
the contrast setting module is used for setting the contrast of the image detection signal and the contrast of the noise signal;
the state conversion module is used for converting the image detection signal generated by the RDK random Gabor spot flicker model into a plurality of states;
the noise signal contrast grading setting module is used for setting and dividing the contrast of the noise signal generated by the noise signal generator into a plurality of grades from low to high in sequence; the noise signal contrast level set by the noise signal contrast level setting module comprises 0%, 20%, 40%, 60%, 80% and 100%;
a polarization display for displaying the image detection signal and the noise signal;
the polarization observer is used for observing an image detection signal and a noise signal displayed by the polarization display when a user detects the binocular vision balance;
the statistic module is used for counting the stereoscopic concave-convex state condition that the outline of the image detection signal forms an identifiable shape observed and distinguished by human eyes of a user;
the comparison and judgment module is used for judging whether the binocular balance of the user meets the requirement or not according to the stereoscopic concave-convex state condition distinguished by the user;
the noise signal contrast traversing judgment module is used for judging whether the noise signal traverses all levels of noise signal contrast division;
and the balance degree detection output module is used for outputting a detection result of the binocular vision balance degree.
2. The binocular visual signal to noise ratio balance detecting system of claim 1, wherein the transformation type of the state transformation module transforming the image detection signal in several states comprises: random rotation state transformation, 90-degree rotation state transformation, phase reversal state transformation, phase translation state transformation, displacement state transformation and normal state transformation.
3. The binocular vision signal to noise ratio balance detection system of claim 1, wherein the binocular vision balance detection system is used for the left eye detection of the user, the user observes the image detection signal through the left eye of the polarization observer, and observes the noise signal through the right eye; the binocular vision balance detection system is used for observing image detection signals by the right eye and observing noise signals by the left eye of a polarization observer when the right eye of a user is detected.
4. The binocular visual signal to noise ratio balance detecting system according to claim 3, wherein the noise signals generated by the noise generator are randomly and uniformly distributed in the image detection signal generating area, and are uniformly distributed with the same density as the image detection signals.
5. The binocular visual signal to noise ratio balance detection system of claim 4, wherein the image detection signal is generated by an RDK random Gabor spot flicker model, and both the model density and the flicker frequency of the RDK random Gabor spot flicker model are variable.
6. A binocular visual signal to noise ratio balance detection method, which is implemented based on the binocular visual balance detection system of claim 1, and comprises:
s1, determining eyes to be detected of a user, generating an image detection signal by using an RDK random Gabor spot flicker model, and generating a noise signal by using a noise generator;
s2, setting the contrast of the image detection signal to be maintained at 100% by using a contrast setting module, and setting the initial value of the contrast of the noise signal to be 0%;
s3, converting the image detection signal in one of a plurality of conversion states by using a state conversion module;
s4, setting the contrast level of the noise signal by using a noise signal contrast level grading setting module;
s5, observing an image detection signal in a designated area of the polarization display by using a polarization observer, distinguishing the stereoscopic concave-convex state condition of an identifiable shape formed by the outline of the image detection signal, and counting the error condition of the stereoscopic concave-convex state distinguished by a user by using a counting module;
s6, changing the eye to be detected by the user, returning to execute the step S1-the step S5, and executing the step S7 after counting the stereoscopic concave-convex state mismatching condition distinguished by the user;
s7, according to the stereoscopic vision concave-convex state error condition distinguished by the user, obtaining the contrast ratio of left and right eye noise signals corresponding to the stereoscopic vision concave-convex state error condition, judging whether the binocular vision balance degree meets the requirement through a comparison and judgment module, if so, balancing binocular integration capacity, and executing the step S8; otherwise, the binocular vision signal-to-noise ratio is seriously unbalanced, the state transformation module transforms the state of the image detection signal and returns to the step S5;
s8, judging whether the current noise level traverses all the noise signal contrast levels or not through a noise signal contrast traversing judgment module, if so, executing a step S9; otherwise, the contrast level of the noise signal is changed, and the step S5 is returned to;
s9, judging whether the state of the image detection signal is converted, and if so, outputting a binocular vision balance detection result of the module through balance detection; otherwise, the state transition module transitions the state of the image detection signal and returns to step S5.
7. The binocular visual signal to noise ratio balance detecting method according to claim 6, wherein the image detection signal is changed in a normal state in step S3 at the start of detection.
8. The method for detecting the balance between visual signal-to-noise ratios of two eyes according to claim 7, wherein the step S7 for determining the satisfaction requirement of the balance between visual signal-to-noise ratios of two eyes through the comparing and determining module is: the contrast of the left and right eye noise signals reaches more than 50%.
9. The binocular visual signal to noise ratio balance detecting method according to claim 8, wherein the process of changing the noise signal contrast level detection of step S8 includes:
s81, starting from 0% of noise signal contrast, sequentially increasing according to the levels of 0%, 20%, 40%, 60%, 80% and 100%;
s82, recording the stereoscopic concave-convex state condition of the recognizable shape formed by the outline of the user resolution image detection signal for the grade of each time after the contrast of the noise signal is increased;
s83, judging whether the stereoscopic concave-convex state condition of the recognizable shape formed by the outline of the user resolution image detection signal is correct or not when the level of the noise signal contrast is changed every time, if so, increasing the level of the noise signal contrast by one level, and returning to the step S82; otherwise, the level of the contrast of the noise signal is reduced by one level, and the step S82 is returned;
s84, judging whether the grade change of the noise signal contrast has 5 concave-convex state situation resolution error inflection points, if so, determining the signal-to-noise ratio corresponding to the 5 concave-convex state situation resolution error inflection points, taking the average value of the signal-to-noise ratio contrast corresponding to the 5 concave-convex state situation resolution error inflection points as a binocular visual balance result, and taking the difference value of the signal-to-noise ratio contrast of the left eye and the right eye as a final inspection result; otherwise, return to step S83.
10. The binocular visual signal to noise ratio balance detection method according to claim 9, wherein the binocular visual balance detection result includes:
the contrast of the left eye noise signal and the right eye noise signal reaches 50% or above, and the contrast levels of the left eye noise signal and the right eye noise signal are the same, the binocular vision signal-to-noise ratio is balanced, and the binocular integration capability is strong;
the contrast of the left and right eye noise signals reaches 50% or above, and the contrast grade and phase difference D of the two eye noise signals meet the following conditions: when D is more than or equal to 10% and less than or equal to 50%, the visual signal-to-noise ratio of the eyes is unbalanced, but the integration capability of the eyes is strong;
the contrast of the left and right eye noise signals reaches 50% or below, and the contrast levels of the left and right eye noise signals are the same, the binocular visual signal-to-noise ratio is balanced, but the binocular integration capability is weak;
the contrast of the left eye noise signal and the contrast of the right eye noise signal reach 50% or below, and the contrast grade and the phase difference D of the two eye noise signals meet the following conditions: when D is more than or equal to 10% and less than or equal to 50%, the signal-to-noise ratio of the two eyes is unbalanced, and the integration ability of the two eyes is weak.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110050831.XA CN112401828B (en) | 2021-01-14 | 2021-01-14 | Binocular visual signal-to-noise ratio balance degree detection system and detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110050831.XA CN112401828B (en) | 2021-01-14 | 2021-01-14 | Binocular visual signal-to-noise ratio balance degree detection system and detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112401828A true CN112401828A (en) | 2021-02-26 |
| CN112401828B CN112401828B (en) | 2022-08-16 |
Family
ID=74783000
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110050831.XA Active CN112401828B (en) | 2021-01-14 | 2021-01-14 | Binocular visual signal-to-noise ratio balance degree detection system and detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112401828B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113081719A (en) * | 2021-04-12 | 2021-07-09 | 广州市诺以德医疗科技发展有限公司 | Stereoscopic vision induction method and system under random element distribution background mode |
| CN113129289A (en) * | 2021-04-23 | 2021-07-16 | 广州市诺以德医疗科技发展有限公司 | Stereoscopic vision evaluation system based on constituent element information quantity and visual noise |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100201942A1 (en) * | 2007-10-23 | 2010-08-12 | Mcgill University | Binocular vision assessment and/or therapy |
| CN102499626A (en) * | 2011-12-19 | 2012-06-20 | 东南大学 | Stereoscopic vision flickering perception test device |
| US20130100400A1 (en) * | 2011-10-19 | 2013-04-25 | Albert John Hofeldt | Amblyometer for balancing bridging rivalrous binocular vision |
| WO2014197489A1 (en) * | 2013-06-03 | 2014-12-11 | University Of Louisville | Systems and methods for improving sensory eye dominance, binocular imbalance, and/or stereopsis in a subject |
| CN106725278A (en) * | 2016-11-25 | 2017-05-31 | 温州医科大学眼视光研究院 | It is a kind of to suppress instrument and the suppression quantitative detecting method using the suppression instrument |
| CN109966130A (en) * | 2019-05-13 | 2019-07-05 | 广州视景医疗软件有限公司 | The method and its system of a kind of eyes comparison degree of balance measurement during visual performance is trained |
| CN110604541A (en) * | 2019-10-23 | 2019-12-24 | 重庆康萃医药科技有限公司 | Binocular balance detection system and detection method thereof |
| WO2020146952A1 (en) * | 2019-01-17 | 2020-07-23 | The Royal Institution For The Advancement Of Learning/Mcgill University | System and method for digital measurement of stereo vision |
-
2021
- 2021-01-14 CN CN202110050831.XA patent/CN112401828B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100201942A1 (en) * | 2007-10-23 | 2010-08-12 | Mcgill University | Binocular vision assessment and/or therapy |
| US20130100400A1 (en) * | 2011-10-19 | 2013-04-25 | Albert John Hofeldt | Amblyometer for balancing bridging rivalrous binocular vision |
| CN102499626A (en) * | 2011-12-19 | 2012-06-20 | 东南大学 | Stereoscopic vision flickering perception test device |
| WO2014197489A1 (en) * | 2013-06-03 | 2014-12-11 | University Of Louisville | Systems and methods for improving sensory eye dominance, binocular imbalance, and/or stereopsis in a subject |
| CN106725278A (en) * | 2016-11-25 | 2017-05-31 | 温州医科大学眼视光研究院 | It is a kind of to suppress instrument and the suppression quantitative detecting method using the suppression instrument |
| WO2020146952A1 (en) * | 2019-01-17 | 2020-07-23 | The Royal Institution For The Advancement Of Learning/Mcgill University | System and method for digital measurement of stereo vision |
| CN109966130A (en) * | 2019-05-13 | 2019-07-05 | 广州视景医疗软件有限公司 | The method and its system of a kind of eyes comparison degree of balance measurement during visual performance is trained |
| CN110604541A (en) * | 2019-10-23 | 2019-12-24 | 重庆康萃医药科技有限公司 | Binocular balance detection system and detection method thereof |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113081719A (en) * | 2021-04-12 | 2021-07-09 | 广州市诺以德医疗科技发展有限公司 | Stereoscopic vision induction method and system under random element distribution background mode |
| CN113081719B (en) * | 2021-04-12 | 2022-12-30 | 广州市诺以德医疗科技发展有限公司 | Stereoscopic vision induction method and system under random element distribution background mode |
| CN113129289A (en) * | 2021-04-23 | 2021-07-16 | 广州市诺以德医疗科技发展有限公司 | Stereoscopic vision evaluation system based on constituent element information quantity and visual noise |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112401828B (en) | 2022-08-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112401828B (en) | Binocular visual signal-to-noise ratio balance degree detection system and detection method | |
| Landy et al. | Measurement and modeling of depth cue combination: in defense of weak fusion | |
| Patterson | Human factors of stereo displays: An update | |
| CN113425243B (en) | Stereoscopic vision testing method based on random point stereogram | |
| JP2023100632A (en) | System and method for digital measurement of stereo vision | |
| CN112053781A (en) | Dynamic and static stereoscopic vision testing method and terminal | |
| CN108140362A (en) | Display method, display device, electronic equipment and computer program product | |
| CN112367512B (en) | RDK stereoscopic vision detection system and use method thereof | |
| Westheimer | Lines and Gabor functions compared as spatial visual stimuli | |
| Serrano-Pedraza et al. | A specialization for vertical disparity discontinuities | |
| McKee et al. | The ‘uniqueness constraint’and binocular masking | |
| CN112353365B (en) | Binocular dynamic energy stereoscopic vision detection system and detection method | |
| Barkowsky et al. | Is visual fatigue changing the perceived depth accuracy on an autostereoscopic display? | |
| Norman et al. | The perception of 3-D structure from contradictory optical patterns | |
| Read et al. | The stroboscopic Pulfrich effect is not evidence for the joint encoding of motion and depth | |
| Berends et al. | Stereo-slant adaptation is high level and does not involve disparity coding | |
| Gillam | Stereoscopic slant reversals: a new kind of ‘induced’effect | |
| Avetisov et al. | Calculation of anisotropy and symmetry coefficients of corneal nerve orientation based on automated recognition of digital confocal images | |
| Read et al. | All Pulfrich-like illusions can be explained without joint encoding of motion and disparity | |
| Paulus et al. | Measurement of individual changes in the performance of human stereoscopic vision for disparities at the limits of the zone of comfortable viewing | |
| US20230200640A1 (en) | Assessment system for higher grades of binocular vision | |
| van Ee | Perceptual learning without feedback and the stability of stereoscopic slant estimation | |
| Endrikhovski et al. | Predicting individual fusional range from optometric data | |
| Majdak | Influence of physiological factors on stereopsis | |
| BEŠIĆ et al. | RFID AND VIRTUAL REALITY TEST SETUP FOR VISUALLY IMPAIRED ASSISTIVE TECHNOLOGY |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |