CN109724534A - A kind of Research on threshold selection and device for iteration relevance imaging - Google Patents
A kind of Research on threshold selection and device for iteration relevance imaging Download PDFInfo
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Abstract
The invention discloses a kind of Research on threshold selection and device for iteration relevance imaging, belong to relevance imaging technical field, which includes microcontroller, driver, stepper motor, servo motor and iteration relevance imaging reconfiguration system.Present invention introduces the preparation that microcontroller driving servo motor and stepper motor complete counterfeit thermal light source, threshold value is chosen process and is completed in computer end.The inventive method part mainly clusters the noise jamming item in a certain specific restructing algorithm with beneficial item is reconstructed using K- means clustering method, thus iteration threshold is obtained, the noise jamming item that construction is assumed using the reconstruction result that this restructing algorithm obtains as initial value again, pass through interative computation, realization approaches actual noise interference, last and actual noise makes the difference, to achieve the effect that inhibit actual noise interference.During actual measurement, the threshold value that the method is chosen has a distinct increment to reconstruction quality, can solve the threshold value On The Choice in iteration relevance imaging very well.
Description
Technical field
The present invention relates to relevance imaging technical field, in particular to a kind of Research on threshold selection for iteration relevance imaging
And device.
Background technique
Relevance imaging is as a kind of new imaging mode, because it is with high-resolution, strong antijamming capability, non-locality etc.
Advantage becomes one of the hot spot of quantum optices area research in the late three decades.Relevance imaging uses two detectors to light
Carry out coincidence measurement, and the light for reflecting object or transmiting only detects total light intensity without detecting its spatial distribution, with mesh
Mark object is strong about the light field space for exposing to object plane by charge-coupled device detection at the position of counterfeit thermal light source space symmetr
Degree distribution reconstructs the picture of object finally by association operation, realizes detection and imaging separation.Relevance imaging restructing algorithm is made
For an important link in relevance imaging, great function is played in the practicalization of relevance imaging.Recent researches
Personnel propose many restructing algorithms for being far superior to traditional algorithm, but its reconstruction result remains a large amount of backgrounds and makes an uproar
Sound can be reconstructed result by iterative algorithm and further be promoted.Iterative reconstruction algorithms are on the basis of a certain algorithm
Upper selection appropriate threshold value, then the noise jamming item that construction is assumed using the reconstruction result that this restructing algorithm obtains as initial value,
By interative computation, realization approaches actual noise interference.Last and actual noise makes the difference, to reach inhibition actual noise
Interference effect.But the threshold value of iterative reconstruction algorithms chooses only one rough section before this, and planless
Choosing method, can only be by repeatedly testing to obtain an approximate threshold.
Summary of the invention
In order to overcome drawbacks described above existing in the prior art, the purpose of the present invention is by the method application of K- mean cluster
Into threshold value selection, so that the selection for threshold value in iteration relevance imaging provides a kind of feasible method, can solve to change very well
For the threshold value On The Choice in relevance imaging.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of device that the threshold value for iteration relevance imaging is chosen, including laser 1, light beam expander 2, frosted glass 3, light beam
Beam splitter 4, object under test 5, convex lens 6, bucket detector 7, photoelectric coupled device 8, microcontroller 9, motor servo driver 10,
Stepper motor driver 11, servo motor 12, stepper motor 13, touch screen 14 and computer 15；
Wherein, the laser 1 generates counterfeit thermal light source by being radiated on the frosted glass 3 of rotation after beam expander 2, counterfeit thermal light source
Being divided into two-beam after beam splitter 4 is respectively object arm light beam and reference arm light beam, and object arm light beam irradiates object under test
5, total light intensity is recorded by bucket detector 7 after the imaging of convex lens 6, reference beam irradiation is with object under test 5 about counterfeit thermal light source
Optical field distribution is recorded after photoelectric coupled device 8 at space symmetr position；The microcontroller 9 is driven by servo motor respectively
Dynamic device 10 and stepper motor driver 11 control servo motor 12 and stepper motor 13, and servo motor 12 controls frosted glass 3 and revolves
Turn, stepper motor 13 controls frosted glass 3 and vertically moves, the angular velocity of rotation of servo motor 12 and the stepping rate of stepper motor 13
It is arranged on touchscreen 14, servo motor 12 often rotates a circle, and microcontroller 9 drives the mobile step-length of stepper motor 13, makes
Any position in laser irradiation to frosted glass；From microcontroller to bucket detector and light after the completion of laser irradiation frosted glass process
Charge coupled device emits a pulse simultaneously, indicates that barrel detector and photoelectric coupled device start to execute recording process, threshold with this
It is worth selection process to complete in computer 15.
Another object of the present invention is to provide a kind of Research on threshold selection for iteration relevance imaging, in known speckle
The matrix Φ generated in the case where optical field distribution, speckle field size and sampling number to speckle field optical field distribution and this
One matrix transposition ΦTOr with its pseudo inverse matrixResult of product clustered, make reconstruction quality be deteriorated part be known as noise
Distracter is known as reconstructing beneficial to item, selects threshold value with this to the part of reconstruct quality；Threshold value selection can be by computer
In write threshold value Selection of Function completion.
The present invention is suitable for the iteration relevance imaging of matrix-type, next mainly with conventional iterative relevance imaging and iteration
The step of pseudoinverse relevance imaging illustrates the method, the specific steps are as follows:
(1), laser light source irradiation rotating ground glass obtains counterfeit thermal light source, the rotation of Serve Motor Control frosted glass, stepping
The longitudinal movement of motor control frosted glass, servo motor often rotate a circle, and the mobile step-length of stepper motor makes different moments laser
Different speckle fields is generated after irradiation frosted glass；
(2), counterfeit thermal light source is divided into object arm light beam and reference arm light beam by beam splitter；Assuming that object under test transfer function and sky
Between be distributed and indicated in two-dimensional coordinate system, x, y respectively represents abscissa and ordinate.It is T that object arm light beam, which irradiates transmission coefficient,
Its total light intensity is recorded by bucket detector after the object under test of (x, y), the total light intensity that n-th detects is denoted as Bn, with reference to
The optical field distribution of arm light beam is received by CCD, and n-th measurement obtains speckle field and is denoted as In(x,y)；
(3) speckle field that n times measurement obtains is arranged line by line, generates observing matrix Φ, and find out its pseudo inverse matrix；
The reconstruction formula of pseudoinverse relevance imaging are as follows:
Wherein, Φ is to arrange the speckle field that n times measurement obtains line by line, the observing matrix of generation,
It is the pseudo inverse matrix of observing matrix Φ；
The matrix form of the reconstruction formula of traditional association imaging is expressed as
<Bn> be the total light intensity that n times measurement obtains mean value；
(4), theoretically, observing matrix and its transposed matrix result of product ΦTΦ or observing matrix and its pseudo inverse matrix
Result of productIn diagonal entry play a crucial role to image quality, off diagonal element contain much noise interference.
So ΦTΦ andIt is written respectively as following form:
ΦTΦ=s+n
Wherein, s is ΦTΦ orDiagonal entry composition diagonal matrix, n is ΦTΦ orNon-diagonal
The noise jamming item matrix of line element composition；
Traditional association imaging reconstruction formula be
The reconstruction formula of pseudoinverse relevance imaging is
(5), in order to approach actual noise interference, respectively using traditional association reconstruction result and pseudoinverse relevance imaging reconstruct knot
Fruit assumes noise jamming item as initial value, constructionWithThen conventional iterative relevance imaging and
The reconstruction formula of iteration pseudoinverse relevance imaging is expressed as
Wherein n'GI, n'PGIIt is conventional iterative relevance imaging restructing algorithm and iteration pseudoinverse relevance imaging restructing algorithm respectively
Threshold value.
(6), to observing matrix and its pseudo inverse matrix result of product either observing matrix and its transposed matrix result of product
It is clustered, this process can be completed by writing threshold value Selection of Function in computer end, and the present invention uses MATLAB software programming
Threshold value Selection of Function, specific as follows:
Inputting parameter is speckle field optical field distribution, picture size and sampling number, and output parameter is threshold value, function part master
K- means Method is completed to observing matrix and its transposition result of product ΦTΦ either observing matrix and its pseudo inverse matrix
Result of productOff diagonal element cluster；In order to reduce reconstitution time and ΦTΦ andDiagonal entry counterweight
Structure quality influences less, so only clustering to off diagonal element.According to ΦTΦ orEach number on off-diagonal
The distribution situation at strong point determines clusters number, then provides the initial cluster center of every one kind, according to off-diagonal data point to often
The distance of a initial cluster center point, adheres to all data points in respective classification separately；According to class in the classification adhered to separately
The distance average of interior each data point and this kind of initial cluster center points, obtains new cluster centre point.Obtain it is new
After cluster centre point, again according to off-diagonal data point to the distance of new cluster centre point, cluster, Zhi Daoxin are repartitioned
Determining cluster centre point no longer changes, end of clustering；Select the maximum value of cluster centre minimum data subset as threshold value n '；
(7), this threshold value n ' is used in the restructing algorithm of conventional iterative relevance imaging and iteration pseudoinverse relevance imaging.Every time
After iterative reconstruction algorithms, the threshold value n ' that the present invention obtains can remove a part of background noise, can make after successive ignition reconstruct
Image reconstruction quality is highly improved.
Further, microcontroller control stepper motor makes laser facula be radiated at frosted glass outer, the every rotation of rotating electric machine
The stepper motor that circles moves a step-length, until laser facula is moved to edge in frosted glass.
Further, microcontroller is spaced in synchronization at regular intervals and sends start pulse signal to photoelectric coupling
Device and bucket detector, make its synchronous acquisition.
Further, cluster described in step (6) uses K- means clustering method, and threshold value is cluster centre minimum data
The maximum value of collection.
Compared with prior art, the present invention has the advantage that
The prior art chooses only rough range for threshold value, has no the selection method of science, can only repeatedly test
An ideal threshold value is selected afterwards.This method provides a kind of new approaches for threshold value selection, i.e., is chosen by clustering method
Threshold value, obtains that threshold value reconstruction quality is more ideal and threshold value selection can be completed by computer software substantially, hardware with cluster
Expense is small, and threshold value chooses fast and easy, realizes advantages of simple, there is wide application prospect.
Detailed description of the invention
Fig. 1 is the system diagram that iteration relevance imaging threshold value is chosen；
In figure: laser 1, light beam expander 2, frosted glass 3, beam splitter 4, object under test 5, convex lens 6, bucket detector 7,
Photoelectric coupled device 8, microcontroller 9, motor servo driver 10, stepper motor driver 11, servo motor 12, stepper motor
13, touch screen 14, computer 15；
Fig. 2 is in pseudo- inverse iteration relevance imagingOff diagonal element Clustering Effect figure；
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing and specific implementation case
Iteration pseudoinverse relevance imaging algorithm is described in further detail the present invention.Obviously, described embodiment is only this hair
Bright a part of the embodiment, rather than whole embodiments.Based on the embodiment of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of innovative labor achievement is made, the scope that the present invention protects is belonged to.
Embodiment
The present invention provides a kind of Research on threshold selection and device for iteration relevance imaging.The major function of described device
It is to prepare counterfeit thermal light source, completes a certain specific restructing algorithm, such as traditional association imaging algorithm, pseudoinverse relevance imaging algorithm and difference
Divide relevance imaging restructing algorithm etc..
Referring to Fig. 1, Fig. 1 is the system diagram that iteration relevance imaging threshold value is chosen, it include 1, laser 2, light beam expander 3, hair
Glass 4, beam splitter 5, object under test 6, convex lens 7, bucket detector 8, photoelectric coupled device 9, microcontroller 10, servo electricity
Machine driver 11, stepper motor driver 12, servo motor 13, stepper motor 14, touch screen 15, computer.
As shown in Figure 1, laser 1 generates counterfeit thermal light source by being radiated on the frosted glass 3 of rotation after beam expander 2, counterfeit hot light
Source is divided into two beams after beam splitter 4.Light beam irradiates object under test 5, is remembered after the imaging of convex lens 6 by bucket detector 7
Total light intensity is recorded, another Shu Guangzhao is penetrated and target object is about quilt after the photoelectric coupled device 8 at counterfeit thermal light source space symmetr position
Record optical field distribution.Microcontroller 9 completes the control to servo motor 12 and stepper motor 13 by driver 10 and 11 respectively,
Servo motor makes frosted glass start to rotate, and stepper motor vertically moves frosted glass, the angular velocity of rotation of servo motor and stepping
The stepping rate of motor can be arranged on touchscreen 14, and the speed of service of two motors of appropriate adjustment is irradiated to laser
Any position on frosted glass.From microcontroller to bucket detector and photoelectric coupled device after the completion of laser irradiation frosted glass process
Emit a pulse simultaneously, indicates that barrel detector and photoelectric coupled device start to execute recording process with this.Threshold value chooses process
It is completed in computer terminal 15.
The present invention provides a kind of Research on threshold selection for iteration relevance imaging, specifically includes the following steps:
1. laser light source obtains counterfeit thermal light source, the rotation of Serve Motor Control frosted glass, stepping by rotating ground glass piece
Motor control frosted glass longitudinal movement, it is therefore an objective to generate different speckle fields.
2. counterfeit thermal light source is divided into object arm light beam and reference arm light beam by beam splitter；Object arm light beam irradiate transmission coefficient be T (x,
Y) its total light intensity is recorded by bucket detector after object under test, the total light intensity that n-th detects is denoted as Bn, with reference to arm light
The optical field distribution of beam is received by CCD, and n-th measurement obtains speckle field and is denoted as In(x,y)。
3. the reconstruction formula of iteration pseudoinverse relevance imaging is represented by
Wherein, Φ is to arrange the speckle field that n times measurement obtains line by line, the observing matrix of generation,It is observing matrix Φ
Pseudo inverse matrix.
4. using pseudoinverse relevance imaging reconstruction result as initial value to approach actual noise interference, construction is assumed to make an uproar
Acoustic jamming itemThen the reconstruction formula of iteration pseudoinverse relevance imaging is represented by
5. pair observing matrix and the off diagonal element of its pseudo inverse matrix result of product cluster.This process can be by computer
Threshold value Selection of Function is write to complete in end；Wherein input parameter is speckle field optical field distribution, picture size and sampling number, output
Parameter is threshold value, and K- means Method is mainly completed to the result of product of observing matrix and its pseudo inverse matrix in function part's
Off diagonal element cluster.In order to reduce reconstitution time andDiagonal entry on reconstruction quality influence less, so only
Off diagonal element is clustered.According toThe distribution situation of each data point determines clusters number on off-diagonal, then
The initial cluster center of every one kind is provided, off-diagonal data point is close with a distance from which initial cluster center point, just the number
It adheres to separately in this classification at strong point；According to data point each in class and this kind of initial cluster center points in the classification adhered to separately
Distance average, obtain new central point.After obtaining new central point, previous step is executed again, repartitions cluster；
Until newly determining central point no longer changes, end of clustering selects the maximum value of cluster centre minimum data subset as threshold value
n′.Fig. 2 is in pseudo- inverse iteration relevance imagingOff diagonal element Clustering Effect figure, wherein speckle field size be 50 ×
50 pixels, sampling number are 600 times.According toIn each data point distribution determine that clusters number is 3, set it is every it is a kind of just
Beginning cluster centre.Experiment shows that bottom one kind after end of clustering is noise jamming item, and intermediate and upper two layers are reconstruct
Beneficial to item, so selecting the maximum value of cluster centre minimum data subset as threshold value n '.
In conclusion a kind of method and apparatus chosen for iteration relevance imaging threshold value according to the present invention, threshold value
Selection can be completed substantially by computer software, hardware spending is small, threshold value choose fast and easy, realize advantages of simple, have compared with
Broad application prospect.
Claims (2)
1. a kind of device that the threshold value for iteration relevance imaging is chosen, which is characterized in that including laser (1), light beam expander
(2), frosted glass (3), beam splitter (4), object under test (5), convex lens (6), bucket detector (7), photoelectric coupled device
(8), microcontroller (9), motor servo driver (10), stepper motor driver (11), servo motor (12), stepper motor
(13), touch screen (14) and computer (15)；
Wherein, the laser (1) generates counterfeit thermal light source by being radiated on the frosted glass (3) of rotation after beam expander (2), counterfeit hot light
It is respectively object arm light beam and reference arm light beam that source is divided into two-beam after beam splitter (4), and the irradiation of object arm light beam is to be measured
Object (5), records total light intensity by bucket detector (7) after convex lens (6) imaging, and reference beam irradiates and object under test (5)
About being recorded optical field distribution after the photoelectric coupled device (8) at counterfeit thermal light source space symmetr position；The microcontroller (9) point
Not Tong Guo motor servo driver (10) and stepper motor driver (11) servo motor (12) and stepper motor (13) are controlled,
Servo motor (12) controls frosted glass (3) rotation, and stepper motor (13) controls frosted glass (3) longitudinal movement, servo motor (12)
Angular velocity of rotation and the stepping rate of stepper motor (13) be arranged on touch screen (14), the every rotation one of servo motor (12)
Week, microcontroller (9) drive stepper motor (13) mobile step-length, make any position in laser irradiation to frosted glass；Swashing
Light irradiates after the completion of frosted glass process emits a pulse from microcontroller to bucket detector and photoelectric coupled device simultaneously, with this
Instruction bucket detector and photoelectric coupled device start to execute recording process, and threshold value is chosen process and completed in computer (15).
2. the Research on threshold selection for the device that a kind of threshold value for iteration relevance imaging as described in claim 1 is chosen,
It is characterized in that, the specific steps are as follows:
(1), laser light source irradiation rotating ground glass obtains counterfeit thermal light source, the rotation of Serve Motor Control frosted glass, stepper motor
Frosted glass longitudinal movement is controlled, servo motor often rotates a circle, and the mobile step-length of stepper motor makes different moments laser irradiation
Different speckle fields is generated after frosted glass；
(2), counterfeit thermal light source is divided into object arm light beam and reference arm light beam by beam splitter；If object under test transfer function and spatial distribution
It is indicated in two-dimensional coordinate system, x, y respectively represents abscissa and ordinate；It is T (x, y) that object arm light beam, which irradiates transmission coefficient,
Its total light intensity is recorded by bucket detector after object under test, the total light intensity that n-th detects is denoted as Bn, with reference to arm light beam
Optical field distribution is received by CCD, and n-th measurement obtains speckle field and is denoted as In(x,y)；
(3) speckle field that n times measurement obtains is arranged line by line, generates observing matrix Φ, and find out its pseudo inverse matrix；
The reconstruction formula of pseudoinverse relevance imaging are as follows:
Wherein, Φ is to arrange the speckle field that n times measurement obtains line by line, the observing matrix of generation,It is the puppet of observing matrix Φ
Inverse matrix；
The matrix form of the reconstruction formula of traditional association imaging is expressed as
Wherein, < Bn> be the total light intensity that n times measurement obtains mean value；
(4) by ΦTΦ andIt is written respectively as following form:
ΦTΦ=s+n
Wherein, s is ΦTΦ orDiagonal entry composition diagonal matrix, n is ΦTΦ orOff diagonal element
The noise jamming item matrix of composition；
Traditional association imaging reconstruction formula be
The reconstruction formula of pseudoinverse relevance imaging is
(5), use traditional association reconstruction result and pseudoinverse relevance imaging reconstruction result as initial value respectively, construction assumes noise
DistracterWithThen the reconstruction formula of conventional iterative relevance imaging and iteration pseudoinverse relevance imaging
It is expressed as
Wherein n'GI, n'PGIIt is the threshold of conventional iterative relevance imaging restructing algorithm and iteration pseudoinverse relevance imaging restructing algorithm respectively
Value；
(6), observing matrix and its pseudo inverse matrix result of product or observing matrix and its transposed matrix result of product are clustered,
This process can be completed by writing threshold value Selection of Function in computer end, and the present invention chooses letter using MATLAB software programming threshold value
Number, specific as follows:
Inputting parameter is speckle field optical field distribution, picture size and sampling number, and output parameter is threshold value, and threshold value Selection of Function is complete
At K- means Method to observing matrix and its transposition result of product ΦTThe result of product of Φ or observing matrix and its pseudo inverse matrixOff diagonal element cluster；According to ΦTΦ orThe distribution situation of each data point determines poly- on off-diagonal
Class number, then provide the initial cluster center of every one kind, according to off-diagonal data point to each initial cluster center point away from
From all data points are adhered to separately in respective classification；According to data point each in class and this kind in the classification adhered to separately
The distance average of initial cluster center point obtains new cluster centre point；After obtaining new cluster centre point, again according to
Off-diagonal data point repartitions cluster to the distance of new cluster centre point, until newly determining cluster centre point no longer
Variation, end of clustering；Select the maximum value of cluster centre minimum data subset as threshold value n '；
(7), this threshold value n ' is used in the restructing algorithm of conventional iterative relevance imaging and iteration pseudoinverse relevance imaging.
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