CN106821301A - A kind of computer based eye movement distance and movements binocular uniformity error measuring means and method - Google Patents
A kind of computer based eye movement distance and movements binocular uniformity error measuring means and method Download PDFInfo
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Abstract
A kind of computer based eye movement distance and movements binocular uniformity error measuring means and method, are related to medical instruments field.Purpose is cannot quickly and accurately to detect eye movement distance to solve existing method, and eyeball cannot detect the problem of eye movement distance when being blocked.Head fixed mechanism is used for immobilized patients head, and camera is used for real time patient binocular images, and image is sent to computer；Computer sets up plane right-angle coordinate according to reference picture first, then the corneal limbus in reference picture and each test photo is extracted, and the complete image of each test corneal limbus is reduced according to the characteristic of two benchmark corneal limbus, extract the datum mark on two benchmark limbus images respectively again and test test point corresponding with datum mark in limbus image, finally calculate distance and the consistent sexual deviation of movements binocular that each test point is moved relative to datum mark.Evaluation of the present invention suitable for eye movement function.
Description
Technical field
The present invention relates to medical instruments field, more particularly to eye movement function detection.
Background technology
Normal person's images of left and right eyes to all directions can flexible rotating, eye movement to extreme position and holding stare when,
Eyes can reach same position, to ensure to regard thing as single image, when oculomotor nerve palsy or extraocular muscle muscle changes, then
There is movements binocular uncoordinated, show as eyeball and not in place, also referred to as eye movement is moved to a direction or multiple directions
Obstacle.Ocular motility disorder is caused by Different types of etiopathogenises damages cranial nerve, because the cause of disease is different with the light and heavy degree of the state of an illness, to move
Obstacle degree difference, ocular motility disorder situation can change in disease development and during lapsing to, thus detection
Ocular motility disorder situation, the order of severity and rehabilitation evaluation to disease have very important significance.
Eye movement detection is delivered by Dodge et al. in research in 1901 earliest, mainly a kind of to retouch based on cornea is reflective
Eye movement in note horizontal direction, the eye movement detection in hereafter a very long time is sent out on the basis of the principle mostly
Exhibition, is such as detected that spot light lamp bulb is placed in arc during detection by the desk-top arc perimeter of hand and spot light lamp bulb in darkroom
The motion conditions of eyeball multiple angle and direction are detected on form visual field meter.Specific method：Patient covers at a glance, is detected eye
Respectively on upper, temporo, temporo side, under temporo, under, the bulb under nose, on nasal side, nose on eight direction visual field of fixation meters so that it is reflective
Point is just falling in the lesser ring of Merkel center of cornea, moves movement of the eyeball with bulb on the device of the visual field, when eyeball moves to maximum
During moving range, now then there is slight chattering in eyeball, what the manually recorded now bulb of doctor was moved on the visual field is counted
The number of degrees as eyeball the direction " movement angle ".During using this kind of detection method, when eye movement upward, on nose, nose
Side, nasal downside to extreme sport when, because shutting out the light for nose can not be just thrown in the lesser ring of Merkel center of cornea, therefore at this
The extreme sport situation of eyeball can not be to greatest extent detected on several directions.The reflective graphical method of cornea is that doctor passes through observing eye
The chattering of ball judges eyeball extreme sport in this direction, although realize the quantization of testing result, but testing result
More subjective, the detection method is main based on manual operations, and nystagmus phenomenon occurs relatively suddenly, short duration,
Accuracy is relatively low, detects more coarse.Major part clinician still continues to use the detection of simple ruler at present, it is artificial calculate it is related away from
From.Advantage is direct reading, but reading repeatable accuracy is low, and efficiency is low, and different people can read different data.For modern essence
Practical application can not be satisfied with for quasi- medical requirement.
With the development of computer technology, someone is proposed with threedimensional model identification face technology detecting method to detect
Eye movement situation, because face structure is complicated, threedimensional model, without specificity, detects program complicated and time consumption to eyeball identification,
Cost is high etc., and factor is not widely applied.Hereafter occur the eye movement detection means of similar concept, such as double frequency electromagnetism again
Actinobolia detects that the dynamic direction of the eye that such device is mainly used in reaction eye movement, eye move inclined degree or eyeball
The number such as the position relationship of motion, eye movement speed or blinkpunkt, fixation time and number of times, twitching of the eyelid distance, pupil size
According to, in the eye movement research after, mainly specific detection means is attached on eyeball, move to come together with eyeball
Reach the purpose of detection, the method complex operation, it is more to be disturbed sexual factor, has no popularization well on clinical medicine at present.
Therefore urgent clinical needs can continuously reflect ocular motility disorder change procedure, high-precision accurate acquisition eyes image, qualitative, quantitative
The device of ground detection eye movement situation.
The content of the invention
Eye movement distance cannot be quickly and accurately detected the invention aims to solve existing method, and
Eyeball cannot detect the problem of eye movement distance when being blocked, there is provided a kind of computer based eye movement distance and eyes
Movement consistency error measuring means and method.
A kind of computer based eye movement distance of the present invention and movements binocular uniformity error measuring means
Including head fixed mechanism 5, camera 4 and computer；
The head fixed mechanism 5 is used for the head of immobilized patients, and camera 4 is used for real time patient binocular images,
And send to computer image；
The computer is embedded in the detection module realized by software, and the module is included with lower unit：
Establishment of coordinate system unit：The reference picture sent according to camera 4 sets up plane right-angle coordinate, and the benchmark shines
Piece refers to that patient faces the photo shot during camera 4；
Corneal limbus extraction unit：The corneal limbus in reference picture and each test photo that camera 4 is sent is extracted, it is described
Test photo refers to the photo shot when patient's eyes are moved to all directions, and the corneal limbus extracted from reference picture is base
Quasi- corneal limbus, the corneal limbus extracted from test photo is test corneal limbus；
Test corneal limbus reduction unit：According to two characteristics of benchmark corneal limbus, the complete of each test corneal limbus is reduced
Image, obtains complete test corneal limbus；
Datum mark extraction unit：Any point on two benchmark limbus images is extracted respectively, in this, as images of left and right eyes
Datum mark；
Test point extraction unit：Corresponding with datum mark point in each complete test limbus image is extracted, with this
As test point；
Eye movement metrics calculation unit：Corresponding each test point of left eye is calculated to be moved relative to the datum mark of left eye
Distance and corresponding each test point of right eye relative to the distance that the datum mark of right eye is moved, obtain patient's right and left eyes
Ball move distance in all directions；
Movements binocular uniformity deviation computing unit：Eyeball move distance in the same direction in left and right is subtracted each other, is obtained
To the consistent sexual deviation of movements binocular of the direction.
A kind of computer based eye movement distance of the present invention and movements binocular uniformity deviation detecting method
It is to be realized based on following apparatus, described device includes head fixed mechanism 5, camera 4 and computer；
The head fixed mechanism 5 is used for the head of immobilized patients, and camera 4 is used for real time patient binocular images,
And send to computer image；
Methods described is realized by the software being embedded in computer, the described method comprises the following steps：
Establishment of coordinate system step：The reference picture sent according to camera 4 sets up plane right-angle coordinate, and the benchmark shines
Piece refers to that patient faces the photo shot during camera 4；
Corneal limbus extraction step：The corneal limbus in reference picture and each test photo that camera 4 is sent is extracted, it is described
Test photo refers to the photo shot when patient's eyes are moved to all directions, and the corneal limbus extracted from reference picture is base
Quasi- corneal limbus, the corneal limbus extracted from test photo is test corneal limbus；
Test corneal limbus reduction step：According to two characteristics of benchmark corneal limbus, the complete of each test corneal limbus is reduced
Image, obtains complete test corneal limbus；
Datum mark extraction step：Any point on two benchmark limbus images is extracted respectively, in this, as images of left and right eyes
Datum mark；
Test point extraction step：Corresponding with datum mark point in each complete test limbus image is extracted, with this
As test point；
Eye movement is apart from calculation procedure：Corresponding each test point of left eye is calculated to be moved relative to the datum mark of left eye
Distance and corresponding each test point of right eye relative to the distance that the datum mark of right eye is moved, obtain patient's right and left eyes
Ball move distance in all directions；
Movements binocular uniformity deviation calculation procedure：Eyeball move distance in the same direction in left and right is subtracted each other, is obtained
To the consistent sexual deviation of movements binocular of the direction.
The detection mode of optical photography is applied to eye movement Function detection by device and method of the present invention first,
The advanced brief victory of operation of means.The Computer Image Processing analytical technology got up using developed recently, is entered to eye movement situation
Row quantitative accurate is detected.The present invention can be detected that its principle is basis in the case where cornea is blocked by major part
Take pictures the cornea figure for obtaining, complete cornea restored through computer image procossing, so as to calculate eyeball movement away from
From；Realize the function of movements binocular uniformity separate-blas estimation；Eye movement function accurate detection and quantization are realized, precision can
0.01mm is reached, the automation of eye movement Function detection is realized.The present invention can be used for setting up normal person's eye movement work(
The standard of energy data parameters；Can be used for reflecting the complicated motion process of extraocular muscle by detection data, by these numbers
According to mutation analysis go out regularity of the extraocular muscle to eye movement active force and rotation direction, for the paralysis feelings to being damaged eye muscle
Condition is estimated.It is multi-field that said apparatus may apply to disability evaluation etc., is that current eyeball detection field innovates advanced inspection
Survey means.
Feature advanced technology of the present invention, apparatus structure are simply shown in that easy to operate, accuracy is high, time-consuming few low cost, will be multiple
Miscellaneous detection process is simplified, automation, measurement result and intuitively image is directly obtained, to detect and evaluating eye movement work(
One new method of new device can be provided.
Brief description of the drawings
Fig. 1 is the structural representation of detection means described in implementation method one, the mainframe box of 1 computer in figure, 2 expression displays
Device, 3 represent keyboard, and 4 represent camera, and 5 represent head fixed mechanism, and 6 represent bench, and 7 represent monitor station；
Fig. 2 is the flow chart of the methods described of implementation method 11.
Specific embodiment
Specific embodiment one：Present embodiment, a kind of computer based described in present embodiment are illustrated with reference to Fig. 1
Eye movement distance and movements binocular uniformity error measuring means, including head fixed mechanism 5, camera 4 and computer；
The head fixed mechanism 5 is used for the head of immobilized patients, and camera 4 is used for real time patient binocular images,
And send to computer image；
The computer is embedded in the detection module realized by software, and software is write using visual c++ 6.0, the module
Including with lower unit：
Establishment of coordinate system unit：The reference picture sent according to camera 4 sets up plane right-angle coordinate, and the benchmark shines
Piece refers to that patient faces the photo shot during camera 4；
Corneal limbus extraction unit：The corneal limbus in reference picture and each test photo that camera 4 is sent is extracted, it is described
Test photo refers to the photo shot when patient's eyes are moved to all directions, and the corneal limbus extracted from reference picture is base
Quasi- corneal limbus, the corneal limbus extracted from test photo is test corneal limbus；
Test corneal limbus reduction unit：According to two characteristics of benchmark corneal limbus, the complete of each test corneal limbus is reduced
Image, obtains complete test corneal limbus；
Datum mark extraction unit：Any point on two benchmark limbus images is extracted respectively, in this, as images of left and right eyes
Datum mark；
Test point extraction unit：Corresponding with datum mark point in each complete test limbus image is extracted, with this
As test point；
Eye movement metrics calculation unit：Corresponding each test point of left eye is calculated to be moved relative to the datum mark of left eye
Distance and corresponding each test point of right eye relative to the distance that the datum mark of right eye is moved, obtain patient's right and left eyes
Ball move distance in all directions；
Movements binocular uniformity deviation computing unit：Eyeball move distance in the same direction in left and right is subtracted each other, is obtained
To the consistent sexual deviation of movements binocular of the direction.
Cleaning Principle：
The object image that people are seen can be understood as being made up of three-dimensional various luminous points, and photo is exactly three-dimensional luminous point
To the projection of two dimensional surface.Taken pictures when positions of any point M in A on cornea, i.e., obtain point M to plane projectionA, protect
Hold head and camera position is constant, taken pictures i.e. to plane projection invocation point M when positions of the point M in BB, if it is known that MAWith MBAway from
From also just having known with a distance from oculomotor.
The present invention realizes the detection of eye movement distance using computer image technology by following link：
1) IMAQ：
Display binocular images in real time of camera 4, and image is sent to computer, as needed to face eye front and
Detection bit image is repeatedly taken pictures；
2) image procossing：
Image enhaucament is carried out to image using computer image processing technology, the feature of corneal limbus, expands in enhancing image
Difference between cornea and conjunctiva is in order to graphical analysis；
3) graphical analysis：
Corneal limbus feature extraction is carried out using image analysis technology, and measures oculomotor distance.
If setting up coordinate system in the plane it is known that eyeball motion conditions in all directions, are that this is shooting
Require to be adjusted patients head position during first photo.Patients head's angle is adjusted first, makes patient's eyes to before just
Side is looked squarely, and makes camera 4 just to patient's eyes, and the patient's face image collected by display view camera 4, fine setting is suffered from
Person's head, makes the line of patient Liang Ge pupil center point be overlapped with the X-axis of display midplane rectangular coordinate system, makes before patient just
Center line overlaps with the Y-axis of display midplane rectangular coordinate system.At this moment the position of any point M can use M (x, y) on photo
Represent.After eyes move certain distance to certain direction, M points are moved to M1Point, M1Point coordinates is (x1, y1) point.Then have：
Move distance is equal to M, M1The distance between 2 points；
The direction of motion is angle α, then sin α=(y1-y)/(x1- x), α=arcsin (y1-y)/(x1-x)；
The consistent deviation △ L=L of two eye movements1-L`1, wherein L1It is left eye ball move distance, L`1For right eye movement away from
From.
During detection, during the detection of particularly 90 degree and 270 degree of directions (X-axis positive direction is 0 degree), it is past up,
Lower eyelid can block a part of cornea, the cornea circle that can only see about 1/3 of at this moment taking pictures.Computer is recalled in reference picture
Cornea circle diagram shape, after the part not being blocked according to cornea circle after movement can restore complete cornea circle diagram shape and its movement
Position, so as to calculate eyeball movement distance.Realize cornea be blocked 2/3rds still can accurate detection work(
Energy.
Detection means described in present embodiment has the advantages that：
1st, detection can be completed in the case where cornea is blocked
Cornea is blocked by eyelid and carrys out great difficulty to detection band, the individual difference such as fissura palpebrae is not of uniform size, the elderly's blepharochalasis
The different accuracy that all have impact on detection, particularly in the detection in 90 degree and 270 degree directions, cornea pupil is all blocked, clinical
Cannot almost measure.Present embodiment passes through image restoring technology, according to be not blocked after eyeball movement 1/3 or less than 1/3
Image can restore complete corneal limbus, obtain its movement after position, so as to calculate oculomotor distance.
2nd, the detection of the consistent sexual deviation of movements binocular is realized
The eyes of people receive the traction action of different muscle, the reality of eyes due to eyes respectively when watching attentively to a direction
Border displacement is devious, and this deviation definition is the consistent sexual deviation of movements binocular.And traditional mode cannot be to two
Eyes are detected simultaneously, therefore cannot realize the detection of the consistent sexual deviation of movements binocular.Present embodiment has detection movements binocular
The function of consistent sexual deviation, this function evaluates significant for eyes eye movement Function detection, is current all inspections
Survey method institute is irrealizable.
3rd, testing result is more accurate
The present invention recognizes image technique using computer, and Real-time Collection limbus image accurately calculates same point and exists
The difference of different time position, can precisely arrive 0.01mm, it is to avoid the interpretation of original doctor's subjectivity, the detection side of hand-kept
The error that formula is caused.
4th, normal person's eyeball motor function data parameters standard is set up
Big data statistical analysis is carried out by the testing result to normal person, the eye movement uniformity of normal person two is set up inclined
Poor data, the eye movement functional parameter standard such as data from eyeball to all directions movement ultimate range, be eye movement work(
The evaluation of energy provides reference value.
5th, realize and evaluation eye movement function of obtaining a result is analyzed by detection data
Doctor can evaluate the interpretation of eye movement function, i.e. testing result by testing result, be disease severity
Foundation is provided with diagnosis and treatment Scheme Choice.
Every rotation of eyeball can be divided into eight directions, have six eye muscle controls.Eyeball each motion is all without being
One result of extraocular muscle activity, but one group of result of muscle cooperation.Each muscle has and its Main Function identical
Congener, also there is the Opposing muscle opposite with its predominant intermolecular forces.Abduction exercise obstacle is because musculus rectus lateralis strength is not enough.It is interior to receive fortune
Dynamic obstacle is because internal rectus muscle strength is not enough.Outside upper dyskinesia is because superior rectus strength is not enough.Lower dyskinesia outward be by
It is not enough in inferior rectus muscle strength.Interior upper dyskinesia is because inferior oblique muscle strength is not enough.Interior lower dyskinesia is due to musculus obliquus dorsalis power
Amount is not enough.Due to one or several ballet's disease, eyeball is caused to move generation obstacle to some directions, and show tiltedly
Depending on.The separation deflection of two causes because of a certain bar extraocular muscle or several extraocular muscle declines or disappearance.Eyeball is to each
Deflection changes and differs when individual direction is moved, oblique angle increase when being moved to paralysis muscle action direction.
Because eyeball is in eye socket, it is difficult to realize that complicated effect muscle group is detected in live body, and present embodiment is realized
To the non-contact detection of eyeball, and carry out in the case of to human body without any injury.It is different to each by testing eyeball
The data of direction operating obtain the consistent sexual deviation of eye movement, the range data and movement angle data of eyeball operating, according to
These data judge the eye muscle working order of detected person, if testing result is in normal person's eyeball motor function parameter mark
In quasi- scope, the eyeball function of motion can be assessed as normal.If detection numerical value exceeds normal range (NR), according to place quadrant
The data of the consistent sexual deviation ultimate range of extraocular muscle action direction come evaluate extraocular muscle operating obstacle situation.
6th, the automation of eye movement Function detection is realized
Present embodiment is processed image using computer, can cornea image needed for automatic identification, filter background
Image, calculates eye movement range data, realizes that one-time detection can be while obtain two eyeballs fortune in all directions
Dynamic data and two data of eye movement uniformity.Whole detection process speed is fast, simple to operate, compares real with traditional detection
Qualitative leap is showed.
Specific embodiment two：Present embodiment is the further restriction to the detection means described in implementation method one, this
In implementation method, described detection module also includes：
Benchmark corneal limbus reduction unit：Incomplete benchmark corneal limbus is reduced into complete benchmark corneal limbus；
Datum mark extraction unit extracts datum mark from complete benchmark limbus image.
The palpebral fissure size of different people is different, and the big people of fissura palpebrae can photograph complete cornea when reference picture is shot
Edge, but the small people of fissura palpebrae can only photograph most of corneal limbus.Therefore, present embodiment increased benchmark corneal limbus reduction unit,
Complete benchmark corneal limbus is reduced, complete benchmark limbus image is obtained.Using complete benchmark limbus image
It is more square beneficial to choose datum mark.
Specific embodiment three：Present embodiment is the further limit to the detection means described in implementation method one and two
Fixed, in present embodiment, the method that described corneal limbus extraction unit extracts corneal limbus is：Using computer picture recognition skill
Art, by one test photo be compared with reference picture, remove identical part in two photos, obtain benchmark corneal limbus with
Test corneal limbus.
Present embodiment extracts corneal limbus using difference shadow method.Using computer image recognition technology, by any one survey
Examination photo is compared with reference picture, removes identical part in two photos, and at this moment every photo is just only left two angles
Film edge.
Specific embodiment four：Present embodiment is illustrated with reference to Fig. 1, present embodiment is to described in implementation method one to three
Detection means further restriction, in present embodiment, datum mark for corneal limbus central point.
Corneal limbus is circle, also referred to as cornea circle.When patient's eyes face camera 4, the corneal limbus for photographing is rounded.
After eyeball moves certain distance to a direction, plane where corneal limbus has occurred and that deflection, and the position and angle of camera 4
Degree keeps constant, therefore, the corneal limbus for photographing no longer is the circle of standard, it may be possible to oval, it is also possible to be it
His figure.If choosing the point on corneal limbus profile as datum mark, then, find datum mark corneal limbus figure after exercise
Then difficulty is very big for exact position as in.If choosing the central point of cornea as datum mark, post exercise corneal limbus is found
Central point is then much easier, and faster, result of calculation is also much more accurate for data handling procedure.
Specific embodiment five：Present embodiment is illustrated with reference to Fig. 1, present embodiment is to described in implementation method one to four
Detection means further restriction, in present embodiment, described detection module also includes：
Patient information typing unit：For typing patient information；
Examining report generation unit：Examining report is generated according to patient or so eyeball move distance in all directions；
Memory cell：All images and examining report in storage detection process.
The patient information information such as including name, sex, age, the cause of disease, disease time, treatment.By patient information with
The eyeball for measuring move distance synthesis examining report in all directions is stored, and can also be printed.
Present embodiment realizes the function of continuity storage detection data and data.Automatically generated including inspection by computer
Result is surveyed in interior examining report, the state of an illness archives of patient are set up automatically, continuous record can obtain patient's eye movement function
Situation of change, breaching original detection cannot realize the problem of image data and data storage, be clinical science research establish
Basis.
Specific embodiment six：Illustrate present embodiment with reference to Fig. 1, described computer based eye movement distance and
Movements binocular uniformity error measuring means structure is as shown in Figure 1.Head fixed mechanism with jaw support is installed on monitor station, is shone
Camera is arranged on the other side of monitor station, and keeps fixing with the relative position of head fixed mechanism.Tester logs in test
Program, is input into the personal essential information such as name, sex, age, testDate, medical record number, contact method of patient.Patient is sitting in
On bench before monitor station, lower jaw is placed in the jaw support of head fixed mechanism, and head position adjustment is carried out according to doctor's instruction, is adjusted
Section jaw support highly ensures to make the line of patient's pupil of both eyes central point be overlapped with the X-axis in display；Make patient's anterior median line with
Y-axis in display overlaps；Into test pattern, first photo (binocular fixation front) of shooting is for setting up coordinate
System.Subsequent patient carries out eyeball movement under the instruction of doctor, is respectively 0 degree (left side), 45 degree of (left sides to 8 directions of coordinate system
On), 90 degree (on), 135 degree (upper right), 180 degree (right side), 225 degree (bottom right), 270 degree (under) and 315 degree of (lower-left) directions move
It is dynamic, take a picture in each direction.Computer automatically generates detection numerical value.And detection numerical value is stored, or according to
Need generation printing examining report.
The detection data of several patients forms database and is used for later clinical research, scientific research statistics, systematic searching etc..
Specific embodiment seven：With reference to Fig. 1 and Fig. 2 explanation present embodiments, the one kind described in present embodiment is based on meter
The eye movement distance and movements binocular uniformity deviation detecting method of calculation machine are based on following apparatus realization, described device bag
Include head fixed mechanism 5, camera 4 and computer；
The head fixed mechanism 5 is used for the head of immobilized patients, and camera 4 is used for real time patient binocular images,
And send to computer image；
Methods described is realized by the software being embedded in computer, the described method comprises the following steps：
Establishment of coordinate system step：The reference picture sent according to camera 4 sets up plane right-angle coordinate, and the benchmark shines
Piece refers to that patient faces the photo shot during camera 4；
Corneal limbus extraction step：The corneal limbus in reference picture and each test photo that camera 4 is sent is extracted, it is described
Test photo refers to the photo shot when patient's eyes are moved to all directions, and the corneal limbus extracted from reference picture is base
Quasi- corneal limbus, the corneal limbus extracted from test photo is test corneal limbus；
Test corneal limbus reduction step：According to two characteristics of benchmark corneal limbus, the complete of each test corneal limbus is reduced
Image, obtains complete test corneal limbus；
Datum mark extraction step：Any point on two benchmark limbus images is extracted respectively, in this, as images of left and right eyes
Datum mark；
Test point extraction step：Corresponding with datum mark point in each complete test limbus image is extracted, with this
As test point；
Eye movement is apart from calculation procedure：Corresponding each test point of left eye is calculated to be moved relative to the datum mark of left eye
Distance and corresponding each test point of right eye relative to the distance that the datum mark of right eye is moved, obtain patient's right and left eyes
Ball move distance in all directions；
Movements binocular uniformity deviation calculation procedure：Eyeball move distance in the same direction in left and right is subtracted each other, is obtained
To the consistent sexual deviation of movements binocular of the direction.
Method described in present embodiment is corresponding with the detection module in implementation method one.
Specific embodiment eight：It is to the further of the detection method described in implementation method seven with reference to Fig. 2 present embodiments
Limit, in present embodiment, methods described also includes：
Benchmark corneal limbus reduction step：Incomplete benchmark corneal limbus is reduced into complete benchmark corneal limbus；
Described datum mark extraction step extracts datum mark from complete benchmark limbus image.
Method described in present embodiment is corresponding with the detection module in implementation method two.
Specific embodiment nine：Present embodiment is the further restriction to the detection method described in implementation method seven, this
In implementation method, the method that described corneal limbus extraction step extracts corneal limbus is：Using computer image recognition technology, by one
Open test photo to be compared with reference picture, remove identical part in two photos, obtain benchmark corneal limbus and test angles
Film edge.
Method described in present embodiment is corresponding with the detection module in implementation method three.
Specific embodiment ten：Present embodiment is the further restriction to the detection method described in implementation method seven, this
In implementation method, datum mark is the central point of corneal limbus.
Method described in present embodiment is corresponding with the detection module in implementation method four.
Specific embodiment 11：It is that one is entered to the detection method described in implementation method seven with reference to Fig. 2 present embodiments
Step is limited, and in present embodiment, methods described also includes：
Patient information typing step：For typing patient information；
Examining report generation step：Examining report is generated according to patient or so eyeball move distance in all directions；
Storing step：All images and examining report in storage detection process.
Method described in present embodiment is corresponding with the detection module in implementation method five.
Claims (10)
1. a kind of computer based eye movement distance and movements binocular uniformity error measuring means, it is characterised in that bag
Include head fixed mechanism (5), camera (4) and computer；
The head fixed mechanism (5) for immobilized patients head, camera (4) for real time patient binocular images,
And send to computer image；
The computer is embedded in the detection module realized by software, and the module is included with lower unit：
Establishment of coordinate system unit：The reference picture sent according to camera (4) sets up plane right-angle coordinate, the reference picture
Refer to that patient faces the photo shot during camera (4)；
Corneal limbus extraction unit：Extract the corneal limbus in reference picture and each test photo that camera (4) is sent, the survey
Examination photo refers to the photo shot when patient's eyes are moved to all directions, on the basis of the corneal limbus extracted from reference picture
Corneal limbus, the corneal limbus extracted from test photo is test corneal limbus；
Test corneal limbus reduction unit：According to two characteristics of benchmark corneal limbus, the complete image of each test corneal limbus is reduced,
Obtain complete test corneal limbus；
Datum mark extraction unit：Any point on two benchmark limbus images is extracted respectively, in this, as the base of images of left and right eyes
On schedule；
Test point extraction unit：Corresponding with datum mark point in each complete test limbus image is extracted, in this, as
Test point；
Eye movement metrics calculation unit：Calculate corresponding each test point of left eye relative to the datum mark of left eye moved away from
From and with a distance from corresponding each test point of right eye moved relative to the datum mark of right eye, obtain patient or so eyeball and exist
Move distance in all directions；
Movements binocular uniformity deviation computing unit：Eyeball move distance in the same direction in left and right is subtracted each other, is somebody's turn to do
The consistent sexual deviation of movements binocular in direction.
2. device according to claim 1, it is characterised in that described detection module also includes：
Benchmark corneal limbus reduction unit：Incomplete benchmark corneal limbus is reduced into complete benchmark corneal limbus；
Described datum mark extraction unit extracts datum mark from complete benchmark limbus image.
3. device according to claim 1, it is characterised in that the method that described corneal limbus extraction unit extracts corneal limbus
For：Using computer image recognition technology, a test photo is compared with reference picture, removes identical in two photos
Part, obtain benchmark corneal limbus and test corneal limbus.
4. device according to claim 1, it is characterised in that datum mark is the central point of corneal limbus.
5. device according to claim 1, it is characterised in that described detection module also includes：
Patient information typing unit：For typing patient information；
Examining report generation unit：Examining report is generated according to patient or so eyeball move distance in all directions；
Memory cell：All images and examining report in storage detection process.
6. a kind of computer based eye movement distance and movements binocular uniformity deviation detecting method, methods described is to be based on
What following apparatus were realized, described device includes head fixed mechanism (5), camera (4) and computer；
The head fixed mechanism (5) for immobilized patients head, camera (4) for real time patient binocular images,
And send to computer image；
Characterized in that, methods described is realized by the software being embedded in computer, the described method comprises the following steps：
Establishment of coordinate system step：The reference picture sent according to camera (4) sets up plane right-angle coordinate, the reference picture
Refer to that patient faces the photo shot during camera (4)；
Corneal limbus extraction step：Extract the corneal limbus in reference picture and each test photo that camera (4) is sent, the survey
Examination photo refers to the photo shot when patient's eyes are moved to all directions, on the basis of the corneal limbus extracted from reference picture
Corneal limbus, the corneal limbus extracted from test photo is test corneal limbus；
Test corneal limbus reduction step：According to two characteristics of benchmark corneal limbus, the complete image of each test corneal limbus is reduced,
Obtain complete test corneal limbus；
Datum mark extraction step：Any point on two benchmark limbus images is extracted respectively, in this, as the base of images of left and right eyes
On schedule；
Test point extraction step：Corresponding with datum mark point in each complete test limbus image is extracted, in this, as
Test point；
Eye movement is apart from calculation procedure：Calculate corresponding each test point of left eye relative to the datum mark of left eye moved away from
From and with a distance from corresponding each test point of right eye moved relative to the datum mark of right eye, obtain patient or so eyeball and exist
Move distance in all directions；
Movements binocular uniformity deviation calculation procedure：Eyeball move distance in the same direction in left and right is subtracted each other, is somebody's turn to do
The consistent sexual deviation of movements binocular in direction.
7. method according to claim 6, it is characterised in that methods described also includes：
Benchmark corneal limbus reduction step：Incomplete benchmark corneal limbus is reduced into complete benchmark corneal limbus；
Described datum mark extraction step extracts datum mark from complete benchmark limbus image.
8. method according to claim 6, it is characterised in that the method that described corneal limbus extraction step extracts corneal limbus
For：Using computer image recognition technology, a test photo is compared with reference picture, removes identical in two photos
Part, obtain benchmark corneal limbus and test corneal limbus.
9. method according to claim 6, it is characterised in that datum mark is the central point of corneal limbus.
10. method according to claim 6, it is characterised in that methods described also includes：
Patient information typing step：For typing patient information；
Examining report generation step：Examining report is generated according to patient or so eyeball move distance in all directions；
Storing step：All images and examining report in storage detection process.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107997933A (en) * | 2017-11-27 | 2018-05-08 | 南京大学 | A kind of children's visual function training rehabilitation system with real-time evaluation function |
| CN108742510A (en) * | 2018-06-20 | 2018-11-06 | 首都医科大学附属北京儿童医院 | Slant visibility and horizontal torsion angle detector suitable for low age infant |
| CN110135370A (en) * | 2019-05-20 | 2019-08-16 | 北京百度网讯科技有限公司 | The method and device of face In vivo detection, electronic equipment, computer-readable medium |
| CN110246158A (en) * | 2019-07-19 | 2019-09-17 | 上海交通大学医学院附属第九人民医院 | Eye illness detection device, method, electric terminal and storage medium |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5094521A (en) * | 1990-11-07 | 1992-03-10 | Vision Research Laboratories | Apparatus for evaluating eye alignment |
| CN101108120A (en) * | 2007-08-29 | 2008-01-23 | 中国人民解放军第三军医大学第一附属医院 | Testing and analyzing method for eye movement |
| CN102961117A (en) * | 2012-11-06 | 2013-03-13 | 温州医学院 | Strabismus diagnosis device based on mobile platform |
| CN105455775A (en) * | 2015-12-18 | 2016-04-06 | 邓宏伟 | Eyeball position and extraocular muscle strength measuring apparatus and methods |
-
2017
- 2017-01-24 CN CN201710054692.1A patent/CN106821301B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5094521A (en) * | 1990-11-07 | 1992-03-10 | Vision Research Laboratories | Apparatus for evaluating eye alignment |
| CN101108120A (en) * | 2007-08-29 | 2008-01-23 | 中国人民解放军第三军医大学第一附属医院 | Testing and analyzing method for eye movement |
| CN102961117A (en) * | 2012-11-06 | 2013-03-13 | 温州医学院 | Strabismus diagnosis device based on mobile platform |
| CN105455775A (en) * | 2015-12-18 | 2016-04-06 | 邓宏伟 | Eyeball position and extraocular muscle strength measuring apparatus and methods |
Cited By (8)
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|---|---|---|---|---|
| CN107997933A (en) * | 2017-11-27 | 2018-05-08 | 南京大学 | A kind of children's visual function training rehabilitation system with real-time evaluation function |
| CN108742510A (en) * | 2018-06-20 | 2018-11-06 | 首都医科大学附属北京儿童医院 | Slant visibility and horizontal torsion angle detector suitable for low age infant |
| CN108742510B (en) * | 2018-06-20 | 2023-06-06 | 首都医科大学附属北京儿童医院 | Oblique vision and horizontal torsion angle detector suitable for children with low age |
| CN110135370A (en) * | 2019-05-20 | 2019-08-16 | 北京百度网讯科技有限公司 | The method and device of face In vivo detection, electronic equipment, computer-readable medium |
| CN110135370B (en) * | 2019-05-20 | 2022-09-09 | 北京百度网讯科技有限公司 | Method and device for detecting living human face, electronic equipment and computer readable medium |
| CN110246158A (en) * | 2019-07-19 | 2019-09-17 | 上海交通大学医学院附属第九人民医院 | Eye illness detection device, method, electric terminal and storage medium |
| CN111839455A (en) * | 2020-08-11 | 2020-10-30 | 上海鹰瞳医疗科技有限公司 | Eye sign identification method and equipment for thyroid-associated ophthalmopathy |
| CN112022641A (en) * | 2020-09-10 | 2020-12-04 | 深圳职业技术学院 | Method and system for assisting eye rotation movement |
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