CN109408953A - A kind of background values compensation method suitable for continuous variable frame per second - Google Patents
A kind of background values compensation method suitable for continuous variable frame per second Download PDFInfo
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Abstract
The present invention provides a kind of background values compensation method suitable for continuous variable frame per second, comprising: chooses several sampling frame per second, and acquires the darkfield image under each sampling frame per second；The sampling frame per second and its corresponding darkfield image are fitted, to obtain frame per second-darkfield image model of fit；Based on the frame per second-darkfield image model of fit, the compensation darkfield image under actual frame per second is obtained；And background values compensation is carried out to the bright-field image under the actual frame per second based on the compensation darkfield image, to eliminate the biasing of background caused by leakage current.The background values compensation method suitable for continuous variable frame per second provided through the invention solves the problems, such as the background values compensation method in the prior art without being suitable for continuous variable frame per second.
Description
Technical field
The present invention relates to detector fields, more particularly to a kind of background values compensation side suitable for continuous variable frame per second
Method.
Background technique
(such as orthopaedics C arm) is examined with realizing it is necessary to have brightness automatic control function in the continuous fluoroscopy system of X-ray
Person not androgynous thick (fat or thin, old children), Different Organs or other variations (such as whether there is or not grid, focus to booster input screen away from
From etc.) when, absorption according to testee to X-ray, by adjusting load factor, such as the tube voltage kV of high pressure bulb, high pressure
The tube current mA of the bulb or time for exposure ms of X-ray, keep detector (such as image amplifier, Amorphous silicon flat-panel detectors or
Cmos detector) stable average image brightness, abbreviation auto brightness controls (ABC).
But the tube current mA of the tube voltage kV or high pressure bulb that increase high pressure bulb will increase patient to the absorbent of X-ray
Amount violates low radiation dose principle (as low as reasonably achievable) as far as possible；It can be connect in motion artifacts
By in the case where, increase the time for exposure ms of X-ray as far as possible, promotion picture quality is realized to improve single frames dosage, without increasing
Add patient to the absorbed dose of X-ray.
Under normal conditions, the time for exposure ms for increasing X-ray can reduce frame per second, and when frame per second variation, leakage current will make secretly
The stability of field picture is not meeting, this will control auto brightness and bring error；It just needs to carry out background to image at this time
Value complement is repaid, to eliminate error.Therefore, how to provide a kind of background values compensation method suitable for continuous variable frame per second is to compel now
Be essential technical problems to be solved.
Summary of the invention
In view of the foregoing deficiencies of prior art, the purpose of the present invention is to provide one kind to be suitable for continuous variable frame per second
Background values compensation method, being asked in the prior art without being suitable for the background values compensation method of continuous variable frame per second for solving
Topic.
In order to achieve the above objects and other related objects, the present invention provides a kind of background values suitable for continuous variable frame per second
Compensation method, the background values compensation method include:
Several sampling frame per second are chosen, and acquire the darkfield image under each sampling frame per second；
The sampling frame per second and its corresponding darkfield image are fitted, to obtain frame per second-darkfield image model of fit；
Based on the frame per second-darkfield image model of fit, the compensation darkfield image under actual frame per second is obtained；And based on described
It compensates darkfield image and background values compensation is carried out to the bright-field image under the actual frame per second, it is inclined to eliminate background caused by leakage current
It sets.
Optionally, the method for choosing several sampling frame per second includes: the frame per second model where minimum frame per second and maximum frame per second
M sampling frame per second of interior selection is enclosed, and includes minimum frame per second and maximum frame per second in m sampling frame per second；Wherein m is whole greater than 2
Number.
Optionally, the m sampling frame per second are arranged at equal intervals.
Optionally, the sampling frame per second and its corresponding darkfield image are fitted, it is quasi- to obtain frame per second-darkfield image
The method of molding type includes: by power series fitting formula y=ax3+bx2+ cx+d is to the sampling frame per second and its corresponding dark field
Image is fitted, to obtain frame per second-darkfield image model of fit；Wherein, y is darkfield image, and x is frame per second, and a, b, c, d are
Fitting coefficient.
Optionally, the sampling frame per second and its corresponding darkfield image are fitted, it is quasi- to obtain frame per second-darkfield image
The method of molding type includes: by exponentially fitted formulae y=α * eβx+γ*eδx+ d is to the sampling frame per second and its corresponding dark field
Image is fitted, to obtain frame per second-darkfield image model of fit；Wherein, y is darkfield image, and x is frame per second, α, β, γ, δ, d
It is fitting coefficient.
Optionally, the method for obtaining actual frame per second includes: two pulses of continuous acquisition outer triggering signal, and by two
Time interval between pulse is inverted, using as the actual frame per second.
Optionally, the method for carrying out background values compensation to the bright-field image under the actual frame per second includes: using described bright
Field picture subtracts the compensation darkfield image, carries out background values compensation to the bright-field image to realize.
Optionally, with the increase of booting duration and in raised situation, pass through the frame per second-in the operating temperature of detector
It further include that temperature-compensating is carried out to the compensation darkfield image when darkfield image model of fit obtains the compensation darkfield image；
It include: the darkfield image updated under highest frame per second, and dark to the compensation based on highest frame per second and its updated darkfield image
Field picture carries out temperature-compensating.
Optionally, the method for carrying out temperature-compensating to the compensation darkfield image includes: quasi- in the frame per second-darkfield image
Molding type is y=ax3+bx2When+cx+d, according to temperature-compensating formula yoffset=yhightes+ax3+bx2+ cx+d is to the compensation
Darkfield image carries out temperature-compensating；Wherein yoffsetFor the compensation darkfield image after temperature-compensating, yhightesFor highest frame after update
Darkfield image corresponding to rate, x are the inverse of highest frame per second and the difference reciprocal of actual frame per second, and a, b, c, d are the frame per second-
The fitting coefficient of darkfield image model of fit.
Optionally, the method for carrying out temperature-compensating to the compensation darkfield image includes: quasi- in the frame per second-darkfield image
Molding type is y=α * eβx+γ*eδxWhen+d, according to temperature-compensating formula yoffset=yhightes+α*eβx+γ*eδx+ d is to the benefit
It repays darkfield image and carries out temperature-compensating；Wherein yoffsetFor the compensation darkfield image after temperature-compensating, yhightesFor highest after update
Darkfield image corresponding to frame per second, x are the inverse of highest frame per second and the difference reciprocal of actual frame per second, and α, β, γ, δ, d are described
Frame per second-darkfield image model of fit fitting coefficient.
Optionally, in the operating temperature of detector with the increase of booting duration and in raised situation, setting updates duration,
And the darkfield image under each sampling frame per second is resurveyed based on the update duration and is fitted again, to the frame
Rate-darkfield image model of fit is timed update, realizes to the temperature-compensating of the frame per second-darkfield image model of fit.
As described above, a kind of background values compensation method suitable for continuous variable frame per second of the invention, has beneficial below
Effect:
It, can be according to the quantity for choosing sampling frame per second when the present invention carries out models fitting by sampling frame per second and its darkfield image
Frame per second-darkfield image model of fit precision is adjusted, to realize frame per second-darkfield image model of fit high-precision.The present invention
Darkfield image is also realized with the real-time change namely dark field leakage current of frame per second with exposure by frame per second-darkfield image model of fit
Real-time change between light time, with by the frame per second-darkfield image model of fit to actual frame per second under bright-field image carry out
When background values compensates, compensation darkfield image corresponding to any actual frame per second can be obtained by frame per second-darkfield image model of fit,
Namely dark field leakage current corresponding to any time for exposure, so that background values compensation when frame per second is continuously adjustable is realized, to realize
Automatic brightness adjustment, and then template when solving frame per second mismatch loses Correction Problemss, and the average gray of image has been turned up significantly
Value and uniformity.The present invention more pass through frame per second-darkfield image model of fit realize continuously adjustable multiple frame per second share one
Template is compensated, so that the renewal time of template be greatly saved when frame per second changes.
The present invention is by carrying out temperature-compensating to frame per second-darkfield image model of fit or to the compensation dark field under actual frame per second
Image carry out temperature-compensating, with eliminate because the operating temperature of detector with booting duration increase due to increase when caused by mistake
Difference realizes temperature-compensating, to further improve detection accuracy.
Detailed description of the invention
Fig. 1 is shown as the flow chart of background values compensation method of the present invention.
Fig. 2 is shown as the model of fit schematic diagram of present invention sampling frame per second and its corresponding darkfield image.
Fig. 3 is shown as the timing diagram of background values compensation method of the present invention.
The comparison that Fig. 4 is shown as the background values compensation method compensation front and back background values and frame per second through the invention is illustrated
Figure.
Fig. 5 is shown as the image schematic diagram before the background values compensation method compensation through the invention.
Fig. 6 is shown as the compensated image schematic diagram of the background values compensation method through the invention.
Specific embodiment
Illustrate embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this specification
Other advantages and efficacy of the present invention can be easily understood for disclosed content.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints and application, without departing from
Various modifications or alterations are carried out under spirit of the invention.
Fig. 1 is please referred to Fig. 6.It should be noted that diagram provided in the present embodiment only illustrates this in a schematic way
The basic conception of invention, only shown in schema then with related component in the present invention rather than package count when according to actual implementation
Mesh, shape and size are drawn, when actual implementation kenel, quantity and the ratio of each component can arbitrarily change for one kind, and its
Assembly layout kenel may also be increasingly complex.
As shown in Figure 1, the present embodiment provides a kind of background values compensation method suitable for continuous variable frame per second, the background
Value complement compensation method includes:
Several sampling frame per second are chosen, and acquire the darkfield image under each sampling frame per second；
The sampling frame per second and its corresponding darkfield image are fitted, to obtain frame per second-darkfield image model of fit；
Based on the frame per second-darkfield image model of fit, the compensation darkfield image under actual frame per second is obtained；And based on described
It compensates darkfield image and background values compensation is carried out to the bright-field image under the actual frame per second, it is inclined to eliminate background caused by leakage current
It sets.
As an example, the method for choosing several sampling frame per second includes: the frame per second where minimum frame per second and maximum frame per second
M sampling frame per second is chosen in range, and includes minimum frame per second and maximum frame per second in m sampling frame per second；Wherein m is greater than 2
Integer.Specifically, the number of samples and fitting precision of the sampling frame per second are proportional, and it is also proportional with fit time, i.e., it is described
The number of samples for sampling frame per second is more, and the precision of subsequent model of fit is higher, also longer the time required to model of fit, otherwise described
The number of samples for sampling frame per second is fewer, and the precision of subsequent model of fit is lower, also shorter the time required to model of fit；Therefore in reality
In, appropriate number of sampling frame per second can be chosen according to the requirement of practical application, to meet precision and time simultaneously
It is required that.Optionally, m sampling frame per second are arranged at equal intervals, as 1fps, 6fps, 11fps, 16fps, 21fps, 26fps,
31fps etc., to further increase the precision of subsequent model of fit.
As an example, the method for the darkfield image under the acquisition sampling frame per second includes: the base when not having x-ray bombardment
In the sampling frame per second, Image Acquisition is carried out to object to be checked by detector, with described in obtaining under the sampling frame per second to
Examine the darkfield image of object.It should be noted that only needing to change when carrying out darkfield image acquisition to multiple sampling frame per second
The value of frame per second is sampled, the other conditions such as object to be checked are constant；And due to darkfield image be by detector itself caused by,
I.e. under the same terms, the darkfield image of different detector acquisitions may be different, therefore can the background values compensation through this embodiment
Method carries out background values correction to each detector, to guarantee the measurement accuracy of each detector.
As an example, the sampling frame per second and its corresponding darkfield image are fitted, to obtain frame per second-dark field plot
As the method for model of fit includes: by power series fitting formula y=ax3+bx2+ cx+d is to the sampling frame per second and its corresponding
Darkfield image is fitted, to obtain frame per second-darkfield image model of fit；Wherein, y is darkfield image, and x is frame per second, a, b, c, d
It is fitting coefficient.Passing through power series fitting formula y=ax3+bx2When+cx+d carries out models fitting, in order to obtain fitting system
The value of number a, b, c, d, at least need to choose four groups of sampling frame per second and its corresponding darkfield image, as shown in Figure 2.
As another example, the sampling frame per second and its corresponding darkfield image are fitted, to obtain frame per second-dark field
The method of image model of fit includes: by exponentially fitted formulae y=α * eβx+γ*eδx+ d is to the sampling frame per second and its correspondence
Darkfield image be fitted, to obtain frame per second-darkfield image model of fit；Wherein, y is darkfield image, and x is frame per second, α, β,
γ, δ, d are fitting coefficient.Passing through exponentially fitted formulae y=α * eβx+γ*eδxWhen+d carries out models fitting, in order to obtain
The value of fitting coefficient α, β, γ, δ, d at least need to choose five groups of sampling frame per second and its corresponding darkfield image.
For frame per second-darkfield image model of fit, since frame per second and time for exposure are in reciprocal relation, and different frame
The corresponding dark field leakage current of darkfield image under rate is different, therefore the present embodiment can be obtained by frame per second-darkfield image model of fit
The case where changing to dark field leakage current with the time for exposure.
As an example, the method for obtaining actual frame per second includes: two pulses of continuous acquisition outer triggering signal, and by two
Time interval between a pulse is inverted, using as the actual frame per second.Between the two neighboring pulse of outer triggering signal
Time interval be real exposure time, due to being in reciprocal relation between frame per second and time for exposure, therefore by real exposure time
It is inverted that actual frame per second can be obtained.
As an example, the method for obtaining the compensation darkfield image under actual frame per second includes: the base when not having x-ray bombardment
In the actual frame per second, Image Acquisition is carried out to object to be checked by detector, it is described to be checked under the actual frame per second to obtain
The compensation darkfield image of object.
As an example, the method for obtaining the bright-field image under actual frame per second includes: to be based on the reality under x-ray bombardment
Border frame per second carries out Image Acquisition to object to be checked by detector, to obtain the object to be checked under the actual frame per second
Bright-field image.
As an example, the method for carrying out background values compensation to the bright-field image under the actual frame per second includes: described in utilization
Bright-field image subtracts the compensation darkfield image, carries out background values compensation to the bright-field image to realize.The reality of the present embodiment
Existing principle is: when the time for exposure is identical, the bright-field image under same frame per second is identical with the leakage current of darkfield image, therefore passes through
The compensation darkfield image under actual frame per second is subtracted using the bright-field image under actual frame per second, background caused by leakage current can be eliminated
Biasing is realized and carries out background values compensation to the bright-field image under actual frame per second.Specifically as shown in figure 3, the present embodiment passes through utilization
It samples frame per second and its corresponding darkfield image carries out models fitting, to create the frame that dark field leakage current changes with the time for exposure in advance
Rate-darkfield image model of fit；After receiving ready signal (prep), detector is emptied (CLR) operation, when eliminating long
Between dark current accumulate historical influence；Then in the case where X-ray continues outlet (XON), detector according to image grayscale from
When dynamic change frame per second (such as light2 to light3, exposure time increase), the frame per second created in advance-darkfield image is utilized to be fitted mould
Type, which is realized, carries out background values compensation to the bright-field image under actual frame per second.
As an example, in the operating temperature with the increase of booting duration and in raised situation of detector, by described
It further include that temperature is carried out to the compensation darkfield image when frame per second-darkfield image model of fit obtains the compensation darkfield image
Compensation；It include: the darkfield image updated under highest frame per second, and based on highest frame per second and its updated darkfield image to the benefit
It repays darkfield image and carries out temperature-compensating.
Specifically, the method for carrying out temperature-compensating to the compensation darkfield image includes: quasi- in the frame per second-darkfield image
Molding type is y=ax3+bx2When+cx+d, according to temperature-compensating formula yoffset=yhightes+ax3+bx2+ cx+d is to the compensation
Darkfield image carries out temperature-compensating；Wherein yoffsetFor the compensation darkfield image after temperature-compensating, yhightesFor highest frame after update
Darkfield image corresponding to rate, x are the inverse of highest frame per second and the difference reciprocal of actual frame per second, and a, b, c, d are the frame per second-
The fitting coefficient of darkfield image model of fit.
Specifically, the method for carrying out temperature-compensating to the compensation darkfield image includes: quasi- in the frame per second-darkfield image
Molding type is y=α * eβx+γ*eδxWhen+d, according to temperature-compensating formula yoffset=yhightes+α*eβx+γ*eδx+ d is to the benefit
It repays darkfield image and carries out temperature-compensating；Wherein yoffsetFor the compensation darkfield image after temperature-compensating, yhightesFor highest after update
Darkfield image corresponding to frame per second, x are the inverse of highest frame per second and the difference reciprocal of actual frame per second, and α, β, γ, δ, d are described
Frame per second-darkfield image model of fit fitting coefficient.
As another example, in the operating temperature of detector with the increase of booting duration and in raised situation, setting is more
New duration, and the darkfield image under each sampling frame per second is resurveyed based on the update duration and is fitted again, with
Update is timed to the frame per second-darkfield image model of fit, is realized to the frame per second-darkfield image model of fit temperature
Compensation.
It should be noted that due to leakage current has significant change with temperature (as shown in Fig. 2, under same frame per second, different temperatures
Corresponding darkfield image is different, i.e., dark field leakage current is different), thus the operating temperature of detector with the increase of booting duration and
In raised situation, in order to improve detection accuracy, need to carry out temperature to compensation darkfield image or frame per second-darkfield image model of fit
Degree compensation.When carrying out temperature-compensating to the frame per second-darkfield image model of fit, due to needing to resurvey each sampling frame per second
Under darkfield image, and be fitted again, therefore the time spent by it is longer, but its precision is relatively high；And to the reality
When compensation darkfield image under the frame per second of border carries out temperature-compensating, since it need to only resurvey dark field plot corresponding to highest frame per second
Picture, and the compensation darkfield image after temperature-compensating is directly acquired based on temperature-compensating formula, therefore the time spent by it is relatively
It is short, but its precision is relatively low with respect to the former.Therefore, in practical applications, can be selected different according to the requirement of practical application
Temperature-compensating mode to detector carry out temperature-compensating；Can also two kinds of temperature-compensating modes of simultaneous selection to meet higher essence
Degree requires, and such as carries out temperature-compensating to the compensation darkfield image under each actual frame per second, and then according to duration is updated, timing is again
Update frame per second-darkfield image model of fit.
It please refers to Fig. 1 to Fig. 6 background values compensation method described in the present embodiment below to be illustrated, wherein this implementation
The operating temperature of the example detector is temperature 2, actual frame per second 12fps.
Step 1: choosing several sampling frame per second, and acquires the darkfield image under each sampling frame per second.
Specifically, and acquiring as shown in Fig. 2, choose 5 groups of sampling frame per second (1fps, 5fps, 10fps, 15fps and 30fps)
Darkfield image under each sampling frame per second is y1, y2, y3, y4 and y5.
Step 2: being fitted the sampling frame per second and its corresponding darkfield image, to obtain dark field leakage current with exposure
The frame per second of light time change-darkfield image model of fit.
Specifically, the present embodiment passes through power series fitting formula y=ax3+bx2+ cx+d samples frame per second described in 5 groups
(1fps, 5fps, 10fps, 15fps and 30fps) and its corresponding darkfield image (y1, y2, y3, y4 and y5) are fitted, with
Frame per second-darkfield image model of fit is obtained, as shown in Figure 2；Wherein, y is darkfield image, and x is frame per second, and a, b, c, d are fitting
Coefficient.
Step 3: being based on the frame per second-darkfield image model of fit, obtains the compensation darkfield image under actual frame per second；And
Background values compensation is carried out to the bright-field image under the actual frame per second based on the compensation darkfield image, is caused with eliminating leakage current
Background biasing.
Specifically, the operating temperature of the detector as described in the present embodiment can occur to increase now with the increase of booting duration
As, therefore in order to further increase detection accuracy, the present embodiment is obtaining the benefit by the frame per second-darkfield image model of fit
When repaying darkfield image, include the steps that carrying out temperature-compensating to the compensation darkfield image；Practical obtain compensates darkfield image
Method is as follows: updating the darkfield image (y under highest frame per second (30fps)hightes), and according to temperature-compensating formula yoffset=
yhightes+ax3+bx2+ cx+d carries out temperature-compensating to the compensation darkfield image；Wherein yoffsetFor the compensation after temperature-compensating
Darkfield image, yhightesFor darkfield image corresponding to highest frame per second after update, x is the inverse and actual frame per second of highest frame per second
Difference (1/30-1/12) reciprocal, a, b, c, d are the frame per second-darkfield image model of fit fitting coefficient.
Specifically, the compensation darkfield image y after obtaining temperature-compensatingoffsetAfterwards, based on the compensation darkfield image to institute
The bright-field image (y) stated under actual frame per second (12fps) carries out background values compensation, that is, passes through formula ycorrect=y-yoffset=y-
(yhightes+ax3+bx2+ cx+d) carry out background values compensation；Wherein ycorrectTo pass through background value complement under actual frame per second (12fps)
Bright-field image after repaying, y are the bright-field image under actual frame per second (12fps) before background values compensation.
The background values of front and back and the contrast schematic diagram of frame per second are compensated as shown in figure 4, compensating schematic diagram such as Fig. 5 of front and back image
With shown in Fig. 6, from fig. 4 to fig. 6 as can be seen that carry out background values compensation and temperature-compensating after, the average gray value of image and
Even property is more preferable.
In conclusion a kind of background values compensation method suitable for continuous variable frame per second of the invention, has beneficial below
Effect:, can be according to the quantity tune for choosing sampling frame per second when the present invention carries out models fitting by sampling frame per second and its darkfield image
Frame per second-darkfield image model of fit precision is saved, to realize frame per second-darkfield image model of fit high-precision.The present invention is also
Darkfield image is realized with the real-time change namely dark field leakage current of frame per second with exposure by frame per second-darkfield image model of fit
The real-time change of time, with by the frame per second-darkfield image model of fit to actual frame per second under bright-field image carry out this
When floors compensates, compensation darkfield image corresponding to any actual frame per second can be obtained by frame per second-darkfield image model of fit,
Dark field leakage current corresponding to i.e. any time for exposure, so that background values compensation when frame per second is continuously adjustable is realized, to realize certainly
Template when moving brightness regulation, and then solving frame per second mismatch loses Correction Problemss, and the average gray value of image has been turned up significantly
And uniformity.The present invention, which more passes through frame per second-darkfield image model of fit, realizes the shared benefit of continuously adjustable multiple frame per second
Template is repaid, so that the renewal time of template be greatly saved when frame per second changes.The present invention is by being fitted frame per second-darkfield image
Model carries out temperature-compensating or carries out temperature-compensating to the compensation darkfield image under actual frame per second, to eliminate the work because of detector
Temperature error caused when increasing with the increase of booting duration, realizes temperature-compensating, to further improve detection
Precision.So the present invention effectively overcomes various shortcoming in the prior art and has high industrial utilization value.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should be covered by the claims of the present invention.
Claims (11)
1. a kind of background values compensation method suitable for continuous variable frame per second, which is characterized in that the background values compensation method packet
It includes:
Several sampling frame per second are chosen, and acquire the darkfield image under each sampling frame per second；
The sampling frame per second and its corresponding darkfield image are fitted, to obtain frame per second-darkfield image model of fit；
Based on the frame per second-darkfield image model of fit, the compensation darkfield image under actual frame per second is obtained；And it is based on the compensation
Darkfield image carries out background values compensation to the bright-field image under the actual frame per second, to eliminate the biasing of background caused by leakage current.
2. the background values compensation method according to claim 1 suitable for continuous variable frame per second, which is characterized in that if choosing
The method for doing the sampling frame per second include: choose m sampling frame per second within the scope of frame per second where minimum frame per second and maximum frame per second, and
It and include minimum frame per second and maximum frame per second in m sampling frame per second；Wherein m is the integer greater than 2.
3. the background values compensation method according to claim 2 suitable for continuous variable frame per second, which is characterized in that m institute
Sampling frame per second is stated to arrange at equal intervals.
4. the background values compensation method according to claim 1 suitable for continuous variable frame per second, which is characterized in that described
Sampling frame per second and its corresponding darkfield image are fitted, and include: to pass through to obtain frame per second-darkfield image model of fit method
Power series fitting formula y=ax3+bx2+ cx+d is fitted the sampling frame per second and its corresponding darkfield image, with getting frame
Rate-darkfield image model of fit；Wherein, y is darkfield image, and x is frame per second, and a, b, c, d are fitting coefficient.
5. the background values compensation method according to claim 1 suitable for continuous variable frame per second, which is characterized in that described
Sampling frame per second and its corresponding darkfield image are fitted, and include: to pass through to obtain frame per second-darkfield image model of fit method
Exponentially fitted formulae y=α * eβx+γ*eδx+ d is fitted the sampling frame per second and its corresponding darkfield image, with getting frame
Rate-darkfield image model of fit；Wherein, y is darkfield image, and x is frame per second, and α, β, γ, δ, d are fitting coefficient.
6. the background values compensation method according to claim 1 suitable for continuous variable frame per second, which is characterized in that obtain real
The method of border frame per second includes: two pulses of continuous acquisition outer triggering signal, and the time interval between two pulses is taken
Inverse, using as the actual frame per second.
7. the background values compensation method according to claim 1 suitable for continuous variable frame per second, which is characterized in that described
The method that bright-field image under actual frame per second carries out background values compensation includes: to subtract the compensation dark field using the bright-field image
Image carries out background values compensation to the bright-field image to realize.
8. the background values compensation method according to claim 1 suitable for continuous variable frame per second, which is characterized in that detecting
The operating temperature of device is obtained with the increase of booting duration and in raised situation by the frame per second-darkfield image model of fit
It further include that temperature-compensating is carried out to the compensation darkfield image when compensation darkfield image；It include: to update under highest frame per second
Darkfield image, and temperature-compensating is carried out to the compensation darkfield image based on highest frame per second and its updated darkfield image.
9. the background values compensation method according to claim 8 suitable for continuous variable frame per second, which is characterized in that described
It is y=ax that the method that compensation darkfield image carries out temperature-compensating, which includes: in the frame per second-darkfield image model of fit,3+bx2+cx+
When d, according to temperature-compensating formula yoffset=yhightes+ax3+bx2+ cx+d carries out temperature-compensating to the compensation darkfield image；
Wherein yoffsetFor the compensation darkfield image after temperature-compensating, yhightesFor darkfield image corresponding to highest frame per second after update, x
For the inverse of highest frame per second and the difference reciprocal of actual frame per second, a, b, c, d are that the frame per second-darkfield image model of fit is quasi-
Collaboration number.
10. the background values compensation method according to claim 8 suitable for continuous variable frame per second, which is characterized in that institute
It is y=α * e that the method for stating compensation darkfield image progress temperature-compensating, which includes: in the frame per second-darkfield image model of fit,βx+γ*
eδxWhen+d, according to temperature-compensating formula yoffset=yhightes+α*eβx+γ*eδx+ d carries out temperature to the compensation darkfield image
Compensation；Wherein yoffsetFor the compensation darkfield image after temperature-compensating, yhightesFor dark field plot corresponding to highest frame per second after update
Picture, x are the inverse of highest frame per second and the difference reciprocal of actual frame per second, and α, β, γ, δ, d are the frame per second-darkfield image fitting
The fitting coefficient of model.
11. the background values compensation method according to claim 1 suitable for continuous variable frame per second, which is characterized in that visiting
The operating temperature of device is surveyed with the increase of booting duration and in raised situation, setting updates duration, and is based on the update duration
The darkfield image resurveyed under each sampling frame per second is fitted again, to be fitted mould to the frame per second-darkfield image
Type is timed update, realizes to the temperature-compensating of the frame per second-darkfield image model of fit.
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