CN110123595A - The method and its system of a kind of visual signal to noise ratio inspection during visual performance is trained - Google Patents
The method and its system of a kind of visual signal to noise ratio inspection during visual performance is trained Download PDFInfo
- Publication number
- CN110123595A CN110123595A CN201910396147.XA CN201910396147A CN110123595A CN 110123595 A CN110123595 A CN 110123595A CN 201910396147 A CN201910396147 A CN 201910396147A CN 110123595 A CN110123595 A CN 110123595A
- Authority
- CN
- China
- Prior art keywords
- noise ratio
- signal
- noise
- sighting target
- visual
- 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
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H5/00—Exercisers for the eyes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H2205/00—Devices for specific parts of the body
- A61H2205/02—Head
- A61H2205/022—Face
- A61H2205/024—Eyes
Landscapes
- Health & Medical Sciences (AREA)
- Ophthalmology & Optometry (AREA)
- Epidemiology (AREA)
- Pain & Pain Management (AREA)
- Physical Education & Sports Medicine (AREA)
- Rehabilitation Therapy (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Eye Examination Apparatus (AREA)
Abstract
The invention discloses the methods of the visual signal to noise ratio inspection in visual performance training, include the following steps: to generate and has directive vision noise sighting target, vision noise sighting target is made of background parts and icon part, icon part is the icon for being superimposed upon the upper surface of background parts and can determine whether direction, and the noise jamming of image information is controlled by adjusting the transparency for the icon that can determine whether direction;User judges the direction of sighting target by the key up and down of computer keyboard, save judging result, generate new progressive signal-to-noise ratio image again according to judging result, so circulation, after user can not judge the direction of sighting target, the signal-to-noise ratio of last vision noise sighting target is the other minimum signal-to-noise ratio of corresponding detection eye.The invention also discloses the systems of the visual signal to noise ratio inspection in visual performance training.Operation of the present invention is convenient, at low cost and be easy to universal, possesses intuitive inspection result, to the diagnosis of vision and formulates visual performance training program conducive to doctor and does foundation.
Description
Technical field
The present invention relates to the vision noises in the technical field of visual performance training more particularly to a kind of training of visual performance
Than the method and its system of inspection.
Background technique
The mankind are mostly used the inspections such as eyesight, the visual field, binocular visual function, light sensation, colour vision to the assessment of visual function to complete.Big
In most digital image systems, often it is made of multidimensional image signal, and picture noise is exactly component part therein.It is certain
Electrical system and the external world influence the Accurate Analysis for making picture noise becoming sufficiently complex in the process, and another aspect image is
The medium of visual information is transmitted, the cognition and comprehension to image information is determined by the vision system of people, and different images is made an uproar
The level of sensitivity of sound, people is different, i.e., visual signal to noise ratio is different, and here it is the noise visual characteristics of so-called people, pass through detection
Sensitive new features of the eyes to image noise.Signal-to-noise ratio, English name are called SNR or S/N (SIGNAL-NOISE RATIO), again
Referred to as signal to noise ratio.Refer to the ratio of signal and noise in an electronic equipment or electronic system.Here signal refers to
The electronic signal handled by this equipment is needed from device external, noise refers to the original letter by generating after the equipment
Not existing random extra (or information) in number, and this kind of signal does not change with the variation of original signal.
In general, signal-to-noise ratio is bigger, illustrates that the noise being mixed in signal is smaller, unit: dB.There is presently no visual signal to noise ratio measurements
Method.
Summary of the invention
For overcome the deficiencies in the prior art, the present invention provides a kind of easy to operate, at low cost and be easy to universal view
Feel functional training in visual signal to noise ratio inspection method, can accurate instruction visual performance training image noise parameters setting mention
For reference.
The present invention is achieved through the following technical solutions:
The method of visual signal to noise ratio inspection during a kind of visual performance is trained, including the following steps: generating has directionality
Vision noise sighting target, the vision noise sighting target consists of two parts, and a part is background parts, is uniform noise figure
Picture, another part are icons, are that can determine whether the icon in direction in the superposition of the upper surface of background parts, by adjusting the transparency of icon
The noise jamming of image information is controlled, the transparency of icon is from 100% to 0%, to obtain corresponding sighting target signal-to-noise ratio number
The signal-to-noise ratio image of value;The judging result of user is saved, i.e. user judges view by the key up and down of computer keyboard
The judging result in target direction generates new progressive signal-to-noise ratio image according to judging result again, so recycles, until using
After person can not judge direction or the misjudgment of sighting target, the signal-to-noise ratio of last vision noise sighting target is that corresponding detection eye is other
The smallest signal-to-noise ratio, detection terminates will be as the result is shown on user's terminal display screen.
The sighting target is the E letter for having noise.
Further, including four kinds of modes are checked, be respectively: the first, default mode, the mode is first to check right eye
Then it checks left eye, is finally to check eyes simultaneously;Second, left eye checking mode, it is only necessary to check left eye;The third, right eye
Checking mode, it is only necessary to check right eye;4th kind, eyes checking mode, eyes are checked simultaneously.
Further, setting checks that eye is other first, left eye, right eye, eyes.Select eye not after, main frame provides prompt,
If checking left eye, right eye is needed to cover, check that right eye then needs left eye to cover, eyes do not need then, calculate owner
The sighting target signal-to-noise ratio that machine generates is checked since 100%, answers the direction of sighting target, if answering correct, the view generated again
Mark then gradually decreases the signal-to-noise ratio of sighting target, successively decreases amplitude Value Operations by fixed percentage, then the signal-to-noise ratio image that n-th generates
It is that percentage fixed described in 100%- (n-1) * successively decreases range value, so recycles, until erroneous answers, then with the last time
It answers correct signal noise ratio (snr) of image and is denoted as the other minimum signal-to-noise ratio of user's inspection eye, n is natural number.
The present invention also provides a kind of systems based on the visual signal to noise ratio inspection in visual performance above-mentioned training, including
Terminal, terminal include main frame, terminal display screen and computer keyboard.
It further include server, server is connect with terminal, and the terminal is equipped with one or two or three
Platform and three or more.
The beneficial effects of the present invention are: based on there is presently no visual signal to noise ratio measurement methods, therefore the present invention makes up
This blank checked, by the inspection of visual signal to noise ratio can accurate instruction visual performance training image noise parameters be arranged
Reference is provided.
Operation of the present invention is convenient, by computer system, installs the calculating of visual signal to noise ratio inspection method design of the present invention
Machine program, selection check that the eye of detection is other, and only needing control keyboard, key judge the direction of sighting target, that is, to complete vision noise up and down
The inspection of ratio.The present invention is low in cost and is easy to universal, and personal or unit only needs one and is just often connected to internet
Computer can use this inspections system progress visual signal to noise ratio inspection.Possess intuitive inspection result, is especially advantageous for
Doctor does foundation to the diagnosis of vision and formulation visual performance training program.
Detailed description of the invention
System diagram when Fig. 1 present invention checks from program to server request signal-to-noise ratio;
Signal-to-noise ratio image when Fig. 2 present invention checks;
Fig. 3 present procedure operational flow diagram;
The E letter that the signal-to-noise ratio ladder of Fig. 4 signal-to-noise ratio image of the present invention reduces from big to small.
Specific embodiment
Below with reference to some specific embodiments to a kind of visual signal to noise ratio inspection method of the present invention.Specific implementation
Example is present invention be described in more detail, non-limiting protection scope of the present invention.
The method of visual signal to noise ratio inspection in visual performance training of the present invention has easy to operate, low in cost, science
Objectively can rapid proliferation the characteristics of.
The method of visual signal to noise ratio inspection in visual performance training of the present invention, including the following steps: generating has direction
The vision noise sighting target of property, the vision noise sighting target consist of two parts, and a part is background parts, is uniform noise figure
Picture, another part are icons, are that can determine whether the icon in direction in the superposition of the upper surface of background parts, by adjusting the transparency of icon
The noise jamming of image information is controlled, the transparency of icon is from 100% to 0%, to obtain corresponding sighting target signal-to-noise ratio number
The signal-to-noise ratio image of value;User judges the direction of sighting target by the key up and down of computer keyboard, saves sentencing for user
It is disconnected as a result, generate new progressive signal-to-noise ratio image again according to judging result, so recycle, until user can not judge
Behind the direction of sighting target or misjudgment, the signal-to-noise ratio of last vision noise sighting target is the corresponding detection other the smallest noise of eye
Than detection terminates will be as the result is shown on user's terminal display screen.View in visual performance training according to the present invention
Feel that the method for signal-to-noise ratio inspection is designed to computer program, operation therein is completed by computer.
With reference to the accompanying drawing, it is described in detail.
Such as Fig. 1, user passes through terminal to server first, sends the request of a visual signal to noise ratio inspection,
Server receives the rear of the request that this terminal is sent and sends visual signal to noise ratio inspection meter to this terminal
Calculation machine program, visual signal to noise ratio check that computer program is successfully transmitted to terminal.Four kinds of modes may be selected to be examined
Look into, be respectively: the first, it is finally to check eyes simultaneously that default mode, the mode, which is first to check then right eye checks left eye,.
Second, left eye checking mode, it is only necessary to check left eye.The third, right eye checking mode, it is only necessary to check right eye.4th kind, eyes
Checking mode, eyes are checked simultaneously.
Such as after user selects to check eye not, visual signal to noise ratio checks that computer program is whole in user's computer
Visual signal to noise ratio sighting target is generated by our preset algorithms on the computer screen at end, the sighting target, can be one has noise
E letter, such as Fig. 2.
By computer keyboard, key judges the direction of sighting target to user up and down, and judging result is input to signal-to-noise ratio inspection
In computer program, visual signal to noise ratio checks that computer program generates new progressive signal-to-noise ratio figure according to judging result again
Picture, such as Fig. 4 so recycle, and after user can not judge the direction of sighting target, the signal-to-noise ratio of last sighting target is corresponding inspection
The not the smallest signal-to-noise ratio of eye is surveyed, detection terminates will be as the result is shown on user's terminal display screen.
The generating principle of noise sighting target: a noise sighting target is divided into two parts composition, and background is uniform noise image, above
Superposition can determine whether the icon in direction, such as E letter, and the noise jamming of image information is controlled by adjusting the transparency of E letter,
The transparency of E letter is from 100% to 0%, to obtain corresponding signal-to-noise ratio from 100% to 0.
Setting checks that eye is other first, left eye, right eye, eyes.Select eye not after, prompted before program checkout, according to prompt such as
Fruit checks left eye, then right eye is needed to cover, and checks that right eye then needs left eye to cover, eyes do not need then.Program Generating
Sighting target signal-to-noise ratio is checked since 100%, answers the direction of sighting target, if answer it is correct, if the sighting target generated again gradually
The signal-to-noise ratio for reducing sighting target, by fixed amplitude 5% of successively decreasing, then the signal-to-noise ratio image 100%- (n-1) * 5% that n-th generates,
So circulation then answers correct image until user can not judge direction or the erroneous answers of sighting target with the last time
Signal-to-noise ratio is denoted as user and checks the other minimum signal-to-noise ratio of eye, such as inspection result such as following table.
Fig. 3 is that the method for the visual signal to noise ratio inspection in visual performance training of the present invention is fabricated to the fortune after computer program
Row flow chart.
The present invention may not be available this system for ability to express difference or amentia user.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright description is applied directly or indirectly in other relevant technology necks
Domain is included within the scope of the present invention.
Claims (6)
1. a kind of method of the visual signal to noise ratio inspection in visual performance training, including the following steps:
It generates and has directive vision noise sighting target, the vision noise sighting target consists of two parts, and a part is background portion
Point, it is uniform noise image, another part is icon, is that can determine whether the icon in direction in background parts laminated thereto, passes through
The transparency of icon is adjusted to control the noise jamming of image information, the transparency of icon is from 100% to 0%, to obtain pair
The signal-to-noise ratio image for the sighting target signal-to-noise ratio numerical value answered;
The judging result of user is saved, i.e., the key up and down that user passes through computer keyboard judges sentencing for the direction of sighting target
It is disconnected as a result, generate new progressive signal-to-noise ratio image again according to judging result, so recycle, until user can not judge
Behind the direction of sighting target or misjudgment, the signal-to-noise ratio of last vision noise sighting target is the corresponding detection other the smallest noise of eye
Than detection terminates will be as the result is shown on user's terminal display screen.
2. the method for the visual signal to noise ratio inspection in visual performance training according to claim 1, it is characterised in that described
Sighting target is the E letter for having noise.
3. the method for the visual signal to noise ratio inspection in visual performance training according to claim 1, it is characterised in that including
Four kinds of modes are checked, are respectively: the first, default mode, the mode is first to check then right eye checks left eye, is finally
Eyes are checked simultaneously;Second, left eye checking mode, it is only necessary to check left eye;The third, right eye checking mode, it is only necessary to check right
Eye;4th kind, eyes checking mode, eyes are checked simultaneously.
4. the method for the visual signal to noise ratio inspection in visual performance training according to claim 3, it is characterised in that first
Setting checks that eye is other, left eye, right eye, eyes.Select eye not after, main frame provides prompt, if inspection left eye, need
Right eye is covered, check right eye then need left eye to cover, eyes do not need then, main frame generate sighting target signal-to-noise ratio from
100% starts to check, answers the direction of sighting target, if answering correct, the sighting target that generates again if gradually decreases the letter of sighting target
It makes an uproar ratio, successively decreases amplitude Value Operations by fixed percentage, then the signal-to-noise ratio image that n-th generates is solid described in 100%- (n-1) *
Fixed percentage successively decreases range value, so recycles, and until erroneous answers, then answers correct signal noise ratio (snr) of image with the last time
It is denoted as user and checks the other minimum signal-to-noise ratio of eye, n is natural number.
5. a kind of system of the visual signal to noise ratio inspection during visual performance based on claims 1 or 2 or 3 or 4 is trained, including meter
Calculation machine terminal, terminal include main frame, terminal display screen and computer keyboard.
6. the system of the visual signal to noise ratio inspection in visual performance training according to claim 5, further includes server, clothes
Business device is connect with terminal, and the terminal is equipped with one or two or three and three or more.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910396147.XA CN110123595B (en) | 2019-05-13 | 2019-05-13 | Method and system for checking visual signal-to-noise ratio in visual function training |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910396147.XA CN110123595B (en) | 2019-05-13 | 2019-05-13 | Method and system for checking visual signal-to-noise ratio in visual function training |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110123595A true CN110123595A (en) | 2019-08-16 |
CN110123595B CN110123595B (en) | 2021-08-10 |
Family
ID=67573877
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910396147.XA Active CN110123595B (en) | 2019-05-13 | 2019-05-13 | Method and system for checking visual signal-to-noise ratio in visual function training |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110123595B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111513999A (en) * | 2020-05-09 | 2020-08-11 | 胡敏 | Game-based memory amblyopia training method and system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07299033A (en) * | 1994-04-30 | 1995-11-14 | Canon Inc | Visual function measuring device |
CN102905609A (en) * | 2010-04-21 | 2013-01-30 | 松下电器产业株式会社 | Visual function testing device |
CN104825127A (en) * | 2015-05-26 | 2015-08-12 | 北京大学第三医院 | Dynamic visual acuity detecting method |
CN105105705A (en) * | 2015-07-08 | 2015-12-02 | 甄毅 | Vision test terminal |
CN107095733A (en) * | 2017-04-21 | 2017-08-29 | 杭州瑞杰珑科技有限公司 | Amblyopia treatment system based on AR technologies |
CN107115094A (en) * | 2017-04-21 | 2017-09-01 | 杭州瑞杰珑科技有限公司 | Amblyopia detecting system |
CN107550452A (en) * | 2016-06-30 | 2018-01-09 | 中国科学院心理研究所 | A kind of personalized self-adapting type defect of visual field treatment system |
-
2019
- 2019-05-13 CN CN201910396147.XA patent/CN110123595B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07299033A (en) * | 1994-04-30 | 1995-11-14 | Canon Inc | Visual function measuring device |
CN102905609A (en) * | 2010-04-21 | 2013-01-30 | 松下电器产业株式会社 | Visual function testing device |
CN104825127A (en) * | 2015-05-26 | 2015-08-12 | 北京大学第三医院 | Dynamic visual acuity detecting method |
CN105105705A (en) * | 2015-07-08 | 2015-12-02 | 甄毅 | Vision test terminal |
CN107550452A (en) * | 2016-06-30 | 2018-01-09 | 中国科学院心理研究所 | A kind of personalized self-adapting type defect of visual field treatment system |
CN107095733A (en) * | 2017-04-21 | 2017-08-29 | 杭州瑞杰珑科技有限公司 | Amblyopia treatment system based on AR technologies |
CN107115094A (en) * | 2017-04-21 | 2017-09-01 | 杭州瑞杰珑科技有限公司 | Amblyopia detecting system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111513999A (en) * | 2020-05-09 | 2020-08-11 | 胡敏 | Game-based memory amblyopia training method and system |
Also Published As
Publication number | Publication date |
---|---|
CN110123595B (en) | 2021-08-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3222203B1 (en) | System and method for the rapid measurement of the visual contrast sensitivity function | |
US9326675B2 (en) | Virtual vision correction for video display | |
Stobert et al. | Exploring usability effects of increasing security in click-based graphical passwords | |
US20090096778A1 (en) | Method and apparatus of detecting image-sticking of display device | |
US6203157B1 (en) | Method for testing visual function capable of guaranteeing validity thereof | |
KR20070099969A (en) | Embodiment method for color-weakness in mobile display apparatus | |
CN111248851B (en) | Visual function self-testing method | |
US20050213039A1 (en) | Color vision characteristic detection apparatus | |
CN109966130A (en) | The method and its system of a kind of eyes comparison degree of balance measurement during visual performance is trained | |
CN109003665A (en) | Vision testing method, device, equipment and storage medium based on terminal device | |
CN101243380A (en) | User interface system for a personal healthcare environment | |
CN107870856A (en) | Video playback starting duration method of testing, device and electric terminal | |
CN106200926A (en) | Control method, control device and electronic installation | |
Iqbal et al. | Adaptive interface for color-blind people in mobile-phones | |
CN110123595A (en) | The method and its system of a kind of visual signal to noise ratio inspection during visual performance is trained | |
Toscani et al. | Underconfidence in peripheral vision | |
CN106073694A (en) | A kind of interactive sighting target display system based on Kinect and sighting target display optimization method | |
Fisk et al. | Exclusion failure does not demonstrate unconscious perception | |
CN106333642A (en) | Dynamic vision test instrument and test method thereof | |
US20040113926A1 (en) | Method and apparatus for the detection of the effective number of gray levels of a display when showing motion images | |
EP3440532B1 (en) | Improving readability of content displayed on a screen | |
CN109875498B (en) | Dynamic vision measuring system based on reaction time | |
CN111543933A (en) | Vision detection method and device and intelligent electronic equipment | |
CN215662610U (en) | Book clip with vision detection function | |
CN115998241B (en) | Visual detection method, visual detection device, electronic equipment and visual detection system |
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 |