CN106821301B - A kind of computer based eye movement distance and movements binocular consistency error measuring means and method - Google Patents
A kind of computer based eye movement distance and movements binocular consistency error measuring means and method Download PDFInfo
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Abstract
A kind of computer based eye movement distance and movements binocular consistency error measuring means and method, are related to medical instruments field.Purpose be in order to can not be detected when solving the problem of that existing method can not quickly and accurately detect that eye movement distance and eyeball are blocked eye movement apart from.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 establishes 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 restored according to the characteristic of two benchmark corneal limbus, it extracts test point corresponding with datum mark in the datum mark and test limbus image on two benchmark limbus images respectively again, finally calculates the distance and the consistent sexual deviation of movements binocular that each test point is moved relative to datum mark.The present invention is suitable for the evaluation of eye movement function.
Description
Technical field
The present invention relates to the detections of medical instruments field more particularly to eye movement function.
Background technique
Normal person's images of left and right eyes to all directions can flexible rotating, eye movement to extreme position and keep stare when,
Eyes can reach same position, to guarantee to regard object as single image, when oculomotor nerve palsy or extraocular muscle muscle changes, then
It is uncoordinated to there is movements binocular, shows as eyeball and moves not in place, also referred to as eye movement to a direction or multiple directions
Obstacle.Ocular motility disorder, since the cause of disease is different with the light and heavy degree of the state of an illness, is moved caused by Different types of etiopathogenises damages cranial nerve
Obstacle degree difference, ocular motility disorder situation can change in progression of the disease and lapse to during, thus detect
Ocular motility disorder situation, has very important significance to the severity of disease and rehabilitation evaluation.
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
Remember the eye movement in horizontal direction, mostly eye movement detection in hereafter a very long time is sent out on the basis of the principle
Zhan Erlai is such as detected in darkroom by the desk-top arc perimeter of hand and spot light lamp bulb, and spot light lamp bulb is placed in arc when detection
On form visual field meter, to detect the motion conditions of the multiple angle and directions of eyeball.Specific method: patient covers at a glance, is detected eye
Respectively at it is upper, on temporo, temporo side, under temporo, under, the light bulb under nose, on nasal side, nose on eight direction visual field of fixation meters so that reflective
Point is just falling in the lesser ring of Merkel center of cornea, and eyeball is moved with movement of the light bulb on the device of the visual field, when eyeball is moved to maximum
When moving range, then there is slight chattering in eyeball at this time, what the manually recorded light bulb at this time of doctor moved on the visual field is counted
Degree as eyeball the direction " movement angle ".When using this kind of detection method, when eye movement upwards, on nose, nose
Side, nasal downside to extreme sport when, due to nose shut out the light cannot just throw in cornea lesser ring of Merkel center, at this
The extreme sport situation of eyeball cannot be detected on several directions to greatest extent.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, testing result
More subjective, for the detection method mainly based on manual operations, there is relatively unexpected, short duration in nystagmus phenomenon,
Accuracy is lower, 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 directly to read, but reading repeatable accuracy is low, and low efficiency, different people can read different data.For modern essence
It has been unable to meet for quasi- medical requirement in practical application.
With the development of computer technology, someone, which is proposed, identifies face technology detecting method with threedimensional model to detect
Eye movement situation, due to face structure complexity, threedimensional model identifies without specificity eyeball, detects program complicated and time consumption,
The factors such as at high cost are not widely applied.Hereafter occurs the eye movement detection device of similar concept again, such as double frequency electromagnetism
Actinobolia detection, such device are mainly used in eye movement direction, eye movement inclined degree or eyeball in reaction eye movement
The positional relationship of movement, eye movement speed either blinkpunkt, fixation time and number, twitching of the eyelid distance, the number such as pupil size
According in eye movement research later, mainly specific detection device is attached on eyeball, move together with eyeball
Achieve the purpose that detection, this method is complicated for operation, and it is more to be disturbed sexual factor, has no good popularization 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.
Summary of the invention
The purpose of the present invention is to solve existing methods can not quickly and accurately detect eye movement distance, and
Eyeball can not be detected when being blocked eye movement apart from the problem of, a kind of computer based eye movement distance and eyes are provided
Movement consistency error measuring means and method.
A kind of computer based eye movement distance of the present invention and movements binocular consistency 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 image is sent to computer；
The computer is embedded in the detection module by software realization, which includes with lower unit:
Establishment of coordinate system unit: plane right-angle coordinate is established according to the reference picture that camera 4 is sent, the benchmark shines
Piece refers to the photo shot when patient faces camera 4；
Corneal limbus extraction unit: extracting the corneal limbus in the reference picture and each test photo that camera 4 is sent, 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 are test corneal limbus；
It tests corneal limbus reduction unit: according to the characteristic of two benchmark corneal limbus, restoring the complete of each test corneal limbus
Image obtains completely testing 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: point corresponding with datum mark in each complete test limbus image is extracted, with this
As test point；
Eye movement metrics calculation unit: it calculates the corresponding each test point of left eye and is moved relative to the datum mark of left eye
Distance and the distance that is moved relative to the datum mark of right eye of the corresponding each test point of right eye, obtain patient's right and left eyes
The move distance of ball in all directions；
Movements binocular consistency deviation computing unit: the move distance of left and right eyeball in the same direction 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 consistency 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 image is sent to computer；
The method the described method comprises the following steps by the software realization being embedded in computer:
Establishment of coordinate system step: plane right-angle coordinate is established according to the reference picture that camera 4 is sent, the benchmark shines
Piece refers to the photo shot when patient faces camera 4；
Corneal limbus extraction step: extracting the corneal limbus in the reference picture and each test photo that camera 4 is sent, 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 are test corneal limbus；
It tests corneal limbus reduction step: according to the characteristic of two benchmark corneal limbus, restoring the complete of each test corneal limbus
Image obtains completely testing 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: point corresponding with datum mark in each complete test limbus image is extracted, with this
As test point；
Eye movement distance calculates step: calculating the corresponding each test point of left eye and is moved relative to the datum mark of left eye
Distance and the distance that is moved relative to the datum mark of right eye of the corresponding each test point of right eye, obtain patient's right and left eyes
The move distance of ball in all directions；
Movements binocular consistency deviation calculates step: the move distance of left and right eyeball in the same direction being 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 for the first time by device and method of the present invention,
The advanced brief victory of operation of means.The Computer Image Processing analytical technology got up using developed recently, to eye movement situation into
The detection of row quantitative accurate.The present invention can be detected in the case where cornea is by most of block, and principle is basis
The cornea figure taken pictures restores complete cornea through computer image procossing, thus calculate eyeball it is mobile away from
From；Realize the function of movements binocular consistency separate-blas estimation；It realizes eye movement function accurately to detect and quantify, precision can
Reach 0.01mm, realizes the automation of eye movement Function detection.The present invention can be used to establish normal person's eye movement function
The standard of energy data parameters；It can be used to reflect by detection data the motion process of extraocular muscle complexity, by these numbers
According to mutation analysis go out extraocular muscle to the regularity of eye movement active force and rotation direction, for the paralysis feelings to impaired eye muscle
Condition is assessed.It is multi-field that above-mentioned apparatus can be applied to disability evaluation etc., is that current eyeball detection field innovates advanced inspection
Survey means.
Feature of the present invention is technologically advanced, apparatus structure is simply shown in, easy to operate, accuracy is high, time-consuming few at low cost, will answer
Miscellaneous detection process is simplified, is automated, and measurement result and intuitive image is directly obtained, to detect and evaluating eye movement function
The new method of one new device can be provided.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of detection device described in embodiment one, and the mainframe box of 1 computer in figure, 2 indicate display
Device, 3 indicate keyboard, and 4 indicate camera, and 5 indicate head fixed mechanism, and 6 indicate bench, and 7 indicate monitor station；
Fig. 2 is the flow chart of 11 the method for embodiment.
Specific embodiment
Specific embodiment 1: embodiment is described with reference to Fig. 1, a kind of computer based described in present embodiment
Eye movement distance and movements binocular consistency 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 image is sent to computer；
The computer is embedded in the detection module by software realization, and software is write using visual c++ 6.0, the module
Including with lower unit:
Establishment of coordinate system unit: plane right-angle coordinate is established according to the reference picture that camera 4 is sent, the benchmark shines
Piece refers to the photo shot when patient faces camera 4；
Corneal limbus extraction unit: extracting the corneal limbus in the reference picture and each test photo that camera 4 is sent, 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 are test corneal limbus；
It tests corneal limbus reduction unit: according to the characteristic of two benchmark corneal limbus, restoring the complete of each test corneal limbus
Image obtains completely testing 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: point corresponding with datum mark in each complete test limbus image is extracted, with this
As test point；
Eye movement metrics calculation unit: it calculates the corresponding each test point of left eye and is moved relative to the datum mark of left eye
Distance and the distance that is moved relative to the datum mark of right eye of the corresponding each test point of right eye, obtain patient's right and left eyes
The move distance of ball in all directions；
Movements binocular consistency deviation computing unit: the move distance of left and right eyeball in the same direction is subtracted each other, is obtained
To the consistent sexual deviation of movements binocular of the direction.
Testing principle:
The object image that people are seen can be understood as being made of three-dimensional various luminous points, and photo is exactly three-dimensional luminous point
Projection to two-dimensional surface.It takes pictures when position of any point M in A on cornea, i.e., obtains point M to plane projectionA, protect
It holds head and camera position is constant, take pictures i.e. when position of the point M in B to plane projection invocation point MB, 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) Image Acquisition:
4 real-time display binocular images of camera, and image is sent to computer, as needed to face eye front and
Detection bit image is repeatedly taken pictures；
2) image procossing:
Image enhancement is carried out to image using computer image processing technology, enhances the feature of corneal limbus in image, expands
Difference between cornea and conjunctiva is in order to image analysis；
3) image analysis:
Corneal limbus feature extraction is carried out using image analysis technology, and measures oculomotor distance.
If establishing coordinate system in the plane it is known that the motion conditions of eyeball in all directions, are shooting thus
It requires that patients head position is adjusted when first photo.Patients head's angle is adjusted first, makes patient's eyes Xiang Zhengqian
Side's head-up, makes 4 face patient's eyes of camera, and by the collected patient's face image of display view camera 4, fine tuning is suffered from
Person head is overlapped the line of patient Liang Ge pupil center point with the X-axis of plane right-angle coordinate in display, makes before patient just
Middle line is overlapped with the Y-axis of plane right-angle coordinate in display.At this moment the position of any point M can use M (x, y) on photo
It indicates.After eyes are moved to some direction certain distance, M point is moved to M1Point, M1Point coordinate is (x1, y1) point.Then have:
Move distance is equal to M, M1The distance between two o'clock；
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 L1For left eye ball move distance, L`1For right eye movement away from
From.
During detection, when the detection of especially 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, at this moment take pictures can only see about 1/3 cornea circle.Computer recalls in reference picture
Cornea circle diagram shape, after complete cornea circle diagram shape and its movement can be restored according to the part that cornea circle is not blocked after movement
Position, to calculate the mobile distance of eyeball.Cornea is realized to be blocked 2/3rds function that still can accurately detect
Energy.
Detection device described in present embodiment has the advantages that
1, detection can be completed in the case where cornea is blocked
Cornea is blocked by eyelid and brings great difficulty, the individual differences such as not of uniform size, the elderly's blepharochalasis of fissura palpebrae to detection
The different accuracy for all affecting detection, especially in the detection in 90 degree and 270 degree directions, cornea pupil is all blocked, clinical
Almost it is unable to measure.Present embodiment is by 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, to calculate oculomotor distance.
2, the detection of the consistent sexual deviation of movements binocular is realized
The eyes of people to a direction when watching attentively, since eyes are respectively by the traction action of different muscle, the reality of eyes
Border moving distance be it is devious, this deviation definition be the consistent sexual deviation of movements binocular.And traditional mode can not be to two
Eyes detect simultaneously, therefore cannot achieve the detection of the consistent sexual deviation of movements binocular.Present embodiment has detection movements binocular
The function of consistent sexual deviation, this function are significant for the evaluation of eyes eye movement Function detection, are current all inspections
Survey method institute is irrealizable.
3, testing result is more accurate
The present invention identifies image technique using computer, acquires limbus image in real time, accurately calculates same point and exist
The difference of different time position can precisely arrive 0.01mm, avoid the detection side of original doctor's subjectivity interpretation, hand-kept
Error caused by formula.
4, normal person's eyeball motor function data parameters standard is established
Big data statistical analysis is carried out by the testing result to normal person, it is inclined to establish two eye movement consistency of normal person
The data of difference, eyeball are eye movement function to eye movements functional parameter standards such as the data of the mobile maximum distance of all directions
The evaluation of energy provides reference value.
5, it realizes to obtain a result by detection data analysis and evaluates eye movement function
Doctor can evaluate eye movement function by testing result, i.e. the interpretation of testing result is disease severity
Foundation is provided with diagnosis and treatment Scheme Choice.
The rotation of every eyeball can be divided into eight directions, share six eye muscle controls.Each movement of eyeball will not be
One extraocular muscle is movable as a result, but the result of one group of muscle cooperation.Each muscle has identical with its main function
Congener also has the Opposing muscle opposite with its predominant intermolecular forces.Abduction exercise obstacle is since musculus rectus lateralis strength is insufficient.Interior receipts fortune
Dynamic obstacle is since internal rectus muscle strength is insufficient.Outside upper dyskinesia is since superior rectus strength is insufficient.Outside lower dyskinesia be by
It is insufficient in inferior rectus muscle strength.Interior upper dyskinesia is since inferior oblique muscle strength is insufficient.Interior lower dyskinesia is due to musculus obliquus dorsalis power
Amount is insufficient.Due to one or several ballet's disease, cause eyeball to move to certain directions and obstacle occurs, and shows tiltedly
Depending on.Two separation deflections are because of a certain extraocular muscle or several extraocular muscle declines or caused by disappearing.Eyeball is to each
Deflection changes different when a direction moves, and oblique angle increases when moving to paralysis muscle action direction.
Since eyeball is in eye socket, it is difficult to realize, present embodiment realization that complicated effect muscle group, which is detected in living body,
To the non-contact detection of eyeball, and carry out to human body without any injury.By testing eyeball to each difference
The data of direction operating obtain the range data and movement angle data of the consistent sexual deviation of eye movement, 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- range, it is normal that the eyeball function of motion can be assessed as.If detecting numerical value exceeds normal range (NR), according to place quadrant
The data of the consistent sexual deviation maximum distance of extraocular muscle action direction operate obstacle situation to evaluate extraocular muscle.
6, the automation of eye movement Function detection is realized
Present embodiment is handled image using computer, can cornea image needed for automatic identification, filter background
Image calculates eye movement range data, realizes that one-time detection can obtain the fortune of two eyeballs in all directions simultaneously
The data of dynamic data and two eye movement consistency.Entire detection process speed is fast, easy to operate, real compared with traditional detection
Qualitative leap is showed.
Specific embodiment 2: present embodiment is further limiting to detection device described in embodiment one, this
In embodiment, the detection module further include:
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 shooting reference picture
Edge, but the small people of fissura palpebrae can only photograph most of corneal limbus.For this purpose, present embodiment increases benchmark corneal limbus reduction unit,
Complete benchmark corneal limbus is restored, complete benchmark limbus image is obtained.Using complete benchmark limbus image
It is more square to be conducive to choose datum mark.
Specific embodiment 3: present embodiment is the further limit to detection device described in embodiment one and two
It is fixed, in present embodiment, the method for the corneal limbus extraction unit extraction corneal limbus are as follows: use computer picture recognition skill
One test photo is compared with reference picture, removes identical part in two photos by art, obtain benchmark corneal limbus and
Test corneal limbus.
Present embodiment extracts corneal limbus using difference shadow method.Using computer image recognition technology, any one is surveyed
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 4: embodiment is described with reference to Fig. 1, present embodiment is to described in embodiment one to three
Detection device further limit, in present embodiment, datum mark is the central point of corneal limbus.
Corneal limbus is circle, also referred to as cornea circle.When patient's eyes face camera 4, the corneal limbus taken 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 remains unchanged, and therefore, the corneal limbus taken is no longer the circle of standard, it may be possible to ellipse, it is also possible to be it
His figure.If choosing the point on corneal limbus profile as datum mark, find the corneal limbus figure of the datum mark after exercise
Exact position as in is then difficult.If choosing the central point of cornea as datum mark, post exercise corneal limbus is found
Central point is then much easier, and faster, calculated result is also much more accurate for data handling procedure.
Specific embodiment 5: embodiment is described with reference to Fig. 1, present embodiment is to described in embodiment one to four
Detection device further limit, in present embodiment, the detection module further include:
Patient information typing unit: it is used for typing patient information；
Examining report generation unit: examining report is generated according to the move distance of patient or so eyeball in all directions；
Storage unit: all images and examining report in storage detection process.
Patient information includes the information such as name, gender, age, the cause of disease, disease time, treatment condition.By patient information with
The move distance synthesis examining report of the eyeball measured in all directions is stored, and can also be printed.
Present embodiment realizes the function of continuity storage detection data and data.It is automatically generated by computer including inspection
The examining report including result is surveyed, establishes the state of an illness archives of patient automatically, continuous record can obtain patient's eye movement function
Situation of change, breaching original detection cannot achieve the problem of image data and data store, and establish for clinical science research
Basis.
Specific embodiment 6: embodiment is described with reference to Fig. 1, the computer based eye movement distance and
Movements binocular consistency error measuring means structure is as shown in Figure 1.Installation has the head fixed mechanism of jaw support on monitor station, shines
Camera is mounted on the other side of monitor station, and is kept fixed with the relative position of head fixed mechanism.Tester logs in test
Program inputs the personal essential information such as name, gender, 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, is instructed according to doctor and is carried out head position adjustment, is adjusted
Section jaw support height guarantee is overlapped the line of patient's pupil of both eyes central point with the X-axis in display；Make patient's anterior median line with
Y-axis in display is overlapped；Into test pattern, first photo (immediately ahead of binocular fixation) of shooting is for establishing coordinate
System.Subsequent patient carries out eyeball movement under the instruction of doctor, respectively to 8 directions of coordinate system i.e. 0 degree (left side), 45 degree of (left sides
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, it takes a picture in each direction.Computer automatically generates detection numerical value.And detection numerical value is stored, or according to
Need to generate printing examining report.
The detection data of several patients forms database for later clinical research, scientific research statistics, systematic searching etc..
Specific embodiment 7: illustrating present embodiment in conjunction with Fig. 1 and Fig. 2, one kind described in present embodiment is based on
The eye movement distance and movements binocular consistency deviation detecting method of calculation machine are realized based on following apparatus, described device packet
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 image is sent to computer；
The method the described method comprises the following steps by the software realization being embedded in computer:
Establishment of coordinate system step: plane right-angle coordinate is established according to the reference picture that camera 4 is sent, the benchmark shines
Piece refers to the photo shot when patient faces camera 4；
Corneal limbus extraction step: extracting the corneal limbus in the reference picture and each test photo that camera 4 is sent, 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 are test corneal limbus；
It tests corneal limbus reduction step: according to the characteristic of two benchmark corneal limbus, restoring the complete of each test corneal limbus
Image obtains completely testing 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: point corresponding with datum mark in each complete test limbus image is extracted, with this
As test point；
Eye movement distance calculates step: calculating the corresponding each test point of left eye and is moved relative to the datum mark of left eye
Distance and the distance that is moved relative to the datum mark of right eye of the corresponding each test point of right eye, obtain patient's right and left eyes
The move distance of ball in all directions；
Movements binocular consistency deviation calculates step: the move distance of left and right eyeball in the same direction being 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 embodiment one.
Specific embodiment 8: being to the further of detection method described in embodiment seven in conjunction with Fig. 2 present embodiment
It limits, in present embodiment, the method also includes:
Benchmark corneal limbus reduction step: incomplete benchmark corneal limbus is reduced into complete benchmark corneal limbus；
The datum mark extraction step extracts datum mark from complete benchmark limbus image.
Method described in present embodiment is corresponding with the detection module in embodiment two.
Specific embodiment 9: present embodiment is further limiting to detection method described in embodiment seven, this
In embodiment, the method for the corneal limbus extraction step extraction corneal limbus are as follows: computer image recognition technology is used, by one
It opens test photo to be compared with reference picture, removes 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 embodiment three.
Specific embodiment 10: present embodiment is further limiting to detection method described in embodiment seven, this
In embodiment, datum mark is the central point of corneal limbus.
Method described in present embodiment is corresponding with the detection module in embodiment four.
Specific embodiment 11: being to detection method described in embodiment seven into one in conjunction with Fig. 2 present embodiment
Step limits, in present embodiment, the method also includes:
Patient information typing step: it is used for typing patient information；
Examining report generation step: examining report is generated according to the move distance of patient or so eyeball 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 embodiment five.
Claims (8)
1. a kind of computer based eye movement distance and movements binocular consistency error measuring means, which is characterized in that packet
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 image is sent to computer；
The computer is embedded in the detection module by software realization, which includes with lower unit:
Establishment of coordinate system unit: plane right-angle coordinate, the reference picture are established according to the reference picture that camera (4) is sent
Refer to the photo shot when patient faces camera (4)；
Corneal limbus extraction unit: the corneal limbus in the reference picture and each test photo that camera (4) are sent, the survey are extracted
Examination photo refers to the photo shot when patient's eyes are moved to all directions, on the basis of the corneal limbus extracted in reference picture
Corneal limbus, the corneal limbus extracted from test photo are test corneal limbus；
The method that the corneal limbus extraction unit extracts corneal limbus are as follows: use computer image recognition technology, one is tested
Photo is compared with reference picture, removes identical part in two photos, obtains benchmark corneal limbus and test corneal limbus；
It tests corneal limbus reduction unit: according to the characteristic of two benchmark corneal limbus, restoring the complete image of each test corneal limbus,
It obtains completely testing 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: extracting point corresponding with datum mark in each complete test limbus image, in this, as
Test point；
Eye movement metrics calculation unit: calculate the corresponding each test point of left eye relative to the datum mark of left eye moved away from
From and with a distance from the 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 consistency deviation computing unit: the move distance of left and right eyeball in the same direction is subtracted each other, is somebody's turn to do
The consistent sexual deviation of the movements binocular in direction；
The consistent deviation △ L=L of two eye movements1-L`1, wherein L1For left eye ball move distance, L`1For right eye ball move distance.
2. the apparatus according to claim 1, which is characterized in that the detection module further include:
Benchmark corneal limbus reduction unit: incomplete benchmark corneal limbus is reduced into complete benchmark corneal limbus；
The datum mark extraction unit extracts datum mark from complete benchmark limbus image.
3. the apparatus according to claim 1, which is characterized in that datum mark is the central point of corneal limbus.
4. the apparatus according to claim 1, which is characterized in that the detection module further include:
Patient information typing unit: it is used for typing patient information；
Examining report generation unit: examining report is generated according to the move distance of patient or so eyeball in all directions；
Storage unit: all images and examining report in storage detection process.
5. a kind of computer based eye movement distance and movements binocular consistency deviation detecting method, the method are to be based on
What following apparatus was realized, 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 image is sent to computer；
It is characterized in that, the method the described method comprises the following steps by the software realization being embedded in computer:
Establishment of coordinate system step: plane right-angle coordinate, the reference picture are established according to the reference picture that camera (4) is sent
Refer to the photo shot when patient faces camera (4)；
Corneal limbus extraction step: the corneal limbus in the reference picture and each test photo that camera (4) are sent, the survey are extracted
Examination photo refers to the photo shot when patient's eyes are moved to all directions, on the basis of the corneal limbus extracted in reference picture
Corneal limbus, the corneal limbus extracted from test photo are test corneal limbus；
The method that the corneal limbus extraction step extracts corneal limbus are as follows: use computer image recognition technology, one is tested
Photo is compared with reference picture, removes identical part in two photos, obtains benchmark corneal limbus and test corneal limbus；
It tests corneal limbus reduction step: according to the characteristic of two benchmark corneal limbus, restoring the complete image of each test corneal limbus,
It obtains completely testing 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: extracting point corresponding with datum mark in each complete test limbus image, in this, as
Test point；
Eye movement distance calculates step: calculate the corresponding each test point of left eye relative to the datum mark of left eye moved away from
From and with a distance from the 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 consistency deviation calculates step: the move distance of left and right eyeball in the same direction being subtracted each other, is somebody's turn to do
The consistent sexual deviation of the movements binocular in direction；
The consistent deviation △ L=L of two eye movements1-L`1, wherein L1For left eye ball move distance, L`1For right eye ball move distance.
6. according to the method described in claim 5, it is characterized in that, the method also includes:
Benchmark corneal limbus reduction step: incomplete benchmark corneal limbus is reduced into complete benchmark corneal limbus；
The datum mark extraction step extracts datum mark from complete benchmark limbus image.
7. according to the method described in claim 5, it is characterized in that, datum mark is the central point of corneal limbus.
8. according to the method described in claim 5, it is characterized in that, the method also includes:
Patient information typing step: it is used for typing patient information；
Examining report generation step: examining report is generated according to the move distance of patient or so eyeball in all directions；
Storing step: all images and examining report in storage detection process.
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