CN103955057A - Correlated imaging system - Google Patents
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- CN103955057A CN103955057A CN201410125688.6A CN201410125688A CN103955057A CN 103955057 A CN103955057 A CN 103955057A CN 201410125688 A CN201410125688 A CN 201410125688A CN 103955057 A CN103955057 A CN 103955057A
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Abstract
The invention provides a correlated imaging system used for carrying out correlated imaging on an object to be imaged through a thermal light source. The correlated imaging system comprises an object arm light path and a first reference arm light path, wherein the object arm light path is internally provided with a first barrel detector and the object to be imaged; the first barrel detector samples a total light field intensity signal Sm, passing through the object to be imaged, in the object arm light path; the first reference arm light path is provided with a reference detector device for sampling the distribution information of the light field intensity of the first reference arm light path; the reference detector device comprises at least one reference detector unit; each reference detector unit comprises a timing sequence controller and a plurality of reference detectors with the spatial resolving power; the reference detectors are controlled by the timing sequence controller; the reference detectors are exposed in sequence for sampling under the control of the timing sequence controller. As the reference detectors are alternately exposed in time sequence, the exposure frame rates can be overlapped, limitation of existing reference detectors on the sampling speed is broken through, the sampling speed is greatly increased, and the imaging time is shortened.
Description
Technical field
The present invention relates to optical field imaging technology, particularly relate to a kind of relevance imaging system.
Background technology
Relevance imaging technology (also claiming " ghost " imaging) is a kind of double velocity correlation characteristic based on thermo-optical field or Quantum Light Fields, a kind of technology that object information is rebuild in non-localized.According to the difference of light field statistical property, relevance imaging has dividing of quantum imaging and thermo-optical relevance imaging, but the imaging results of the two realization is consistent.For example, because thermal light source (sunshine) and our daily life are closely bound up, research direction trends towards the relevance imaging technology based on thermal light source.In recent years, relevance imaging technology based on thermal light source has obtained fast development, be different from traditional lens imaging or camera technology, the relevance imaging technology of thermal light source has unique advantage, such as, can the imaging without lens, and be not subject to the impact of atmospheric turbulence or other scattering medium, can in the situation that atmospheric turbulence, cloud and mist block, still obtain object imaging clearly, this is that traditional classical imaging cannot be accomplished.Relevance imaging technology is in national defence, military affairs, remote sensing, and there is important potential using value in the fields such as communication, biomedicine, is that conventional lenses imaging technique institute is irreplaceable.
The weak point of relevance imaging technology, is that the needed data volume of reconstruction image is large, is about 10
4the magnitude of sampling, and current camera exposure frame per second is lower, is generally 60 frames per second, contradiction between the two becomes the bottleneck of realizing real time correlation imaging.
Summary of the invention
An object of the present invention is to provide the relevance imaging that a kind of sample rate is high, imaging time is fast system.
Further object of the present invention is to provide a kind of practical relevance imaging system.
Especially, the invention provides a kind of relevance imaging system, carry out relevance imaging for utilizing thermal light source to treat imaging object, comprising:
Thing arm light path, is provided with first barrel of detector and described object to be imaged in described thing arm light path, described first barrel of detector is for sampling the total distribution of light intensity signal S of described thing arm light path after described object to be imaged
m, m represents the order of sampling;
The first reference arm light path, is provided with the reference detector device for the distribution of light intensity distributed intelligence of described the first reference arm light path of sampling in described the first reference arm light path;
Wherein, described reference detector device comprises at least one reference detector unit, and described in each, reference detector unit comprises time schedule controller and the multiple reference detectors with spatial resolving power by described time schedule controller control; Wherein, under described time schedule controller control, described multiple reference detectors can expose to carry out described sampling successively.
Further, described in each, reference detector unit also comprises: beam splitting arrangement, for separating multiple sub-reference path arranged side by side from described the first reference arm light path, described in each, reference detector is arranged in corresponding described sub-reference path.
Further, also comprise:
The second reference arm light path, is provided with second barrel of detector in described the second reference arm light path, for total distribution of light intensity signal R of described the second reference arm light path of sampling
m; With
Threshold value construction unit, for according to described total distribution of light intensity signal S
mwith total distribution of light intensity signal R
mratio signal T
m(S
m/ R
m) predetermined sampling number M
0mean value T
odetermine for described ratio signal T
mupper threshold value T
o +with lower threshold value T
o -, wherein, T
o +> T
o> T
o -;
Wherein, described reference detector device is arranged to only at described ratio signal T
mbe greater than described upper threshold value T
o +situation under or described ratio signal T
mbe less than described lower threshold value T
o -situation under carry out described sampling.
Further, described threshold value construction unit comprises:
The first divider, for receiving the described total distribution of light intensity signal S from described first barrel of detector
mwith the described total distribution of light intensity signal R from described second barrel of detector
m, and produce described ratio signal T
m;
Totalizer, for to described predetermined sampling number M
0described ratio signal T
madd up;
The second divider, for according to the accumulation result of described totalizer and described predetermined sampling number M
0obtain described mean value T
o; With
Discr., for according to described mean value T
ogenerate described upper threshold value T
o +with described lower threshold value T
o -, by described ratio signal T
mwith described upper threshold value T
o +with lower threshold value T
o -compare, and only at described ratio signal T
mbe greater than described upper threshold value T
o +time or described ratio signal T
mbe less than described lower threshold value T
o -time send an exposure trigger pip to described reference detector device, carry out described sampling to trigger described reference detector device.
Further, described threshold value construction unit also comprises:
Count comparator, for to described ratio signal T
msampling number count, to obtain described ratio signal T
msampling order m, and by described sampling order m and described predetermined sampling number M
0compare;
Wherein, be not more than described predetermined sampling number M at described sampling order m
0situation under, from the described ratio signal T of described the first divider
mbe admitted to described totalizer; And described sampling order m is greater than described predetermined sampling number M
0situation under, from the described ratio signal T of described the first divider
mbe admitted to described Discr..
Further, described at least one reference detector unit comprises the first reference detector unit and the second reference detector unit;
Wherein, at described ratio signal T
mbe greater than described upper threshold value T
o +time, the reference detector that described exposure trigger pip triggers in described the first reference detector unit exposes; At described ratio signal T
mbe less than described lower threshold value T
o -time, the reference detector that described exposure trigger pip triggers in described the second reference detector unit exposes.
Further, described upper threshold value T
o +with described lower threshold value T
o -be set as respectively T
0 +=(1+ α) T
0and T
0 -=(1-α) T
0, wherein α is customized parameter and 0< α <1.
Further, the image array data of described the first reference detector unit and described the second reference detector unit sampling gained are sent into respectively different computer memory address A and computer memory address B.
Further, in the time that the image array data bulk of computer memory address A and computer memory address B reception is M, the image array data that both are received are subtracted each other and to subtracting each other the result summation that add up, by computer system, the summed result that adds up are carried out to image processing and obtain rebuilding image.
Further, described multiple reference detector is arranged as the CCD(charge coupled device with spatial resolving power, charge coupled cell) or CMOS(complementary metal oxide semiconductor, complementary metal oxide semiconductor (CMOS)) face array camera.
The preferred embodiments of the present invention are based on following design: by obtaining the light intensity ratio of first barrel of detector and second barrel of detector, estimate distribution of light intensity fluctuation mean value, according to described Intensity Fluctuation mean value, set two Intensity thresholds, and two voltage thresholds corresponding with it, when higher than upper threshold value or lower than lower threshold value, trigger reference detector exposure sampling.
The present invention has overcome the slow restriction of reference detector sample rate in traditional association formation method, adopt multiple reference detectors rapid alternation in chronological order, making to expose frame per second can superposition, break through the restriction of existing reference detector in sample rate, thereby greatly improve sample rate, shortened imaging time.
The present invention has improved the efficiency of sampling, and the one, hits can greatly reduce, and the 2nd, in calculating, do not re-use the associated multiplying of matrix in prior art and use matrix plus and minus calculation, save computing time.Both combinations, make can realize in theory the quasi real-time imaging of second-time, break through the restriction that existing device can not be realized high-speed sampling and can not meet real time correlation imaging, make relevance imaging on imaging time, have qualitative leap, the image of the relevance imaging obtaining combines with specific image processing method formula, make relevance imaging technology on image quality or imaging time all close to practical.
According to the detailed description to the specific embodiment of the invention by reference to the accompanying drawings below, those skilled in the art will understand above-mentioned and other objects, advantage and feature of the present invention more.
Brief description of the drawings
Hereinafter describe specific embodiments more of the present invention in detail in exemplary and nonrestrictive mode with reference to the accompanying drawings.In accompanying drawing, identical Reference numeral has indicated same or similar parts or part.In accompanying drawing:
Fig. 1 is the schematic structure arrangenent diagram of relevance imaging system according to an embodiment of the invention;
Fig. 2 is the schematic structure composition diagram of the first reference detector unit shown in Fig. 1;
Fig. 3 is the schematic structure composition diagram of the second reference detector unit shown in Fig. 1;
Fig. 4 is the schematic workflow diagram of relevance imaging system according to an embodiment of the invention.
Embodiment
Fig. 1 is the schematic structure arrangenent diagram of relevance imaging system according to an embodiment of the invention.Relevance imaging system in Fig. 1 can comprise thing arm light path OA, the first reference arm light path RA1 and the second reference arm light path RA2.In thing arm light path OA, can there is first barrel of detector 45 and object to be imaged 3.First barrel of detector 45 is for the total distribution of light intensity signal S of described thing arm light path OA after described object 3 to be imaged that sample
m.In the first reference arm light path RA1, there is reference detector device, for the distribution of light intensity distributed intelligence of described the first reference arm light path RA1 that samples.Reference detector device can have multiple reference detectors unit.In the embodiment shown in fig. 1, reference detector device has the first reference detector unit 15 and the second reference detector unit 16.In other embodiments, reference detector device can also arrange more or less reference detector unit.The second reference arm light path RA2 has second barrel of detector 78 and threshold value construction unit.Second barrel of detector 78 is for total distribution of light intensity signal R of described the second reference arm light path RA2 that samples
m.Threshold value construction unit can comprise the first divider 9, count comparator 10, totalizer 11, the second divider 12 and Discr. 13.
Contrast Fig. 1 and Fig. 4, the light that thermal light source 1 sends can be divided into 1:(N through unpolarized beam splitter 2
0-1) two light beams of light intensity ratio, N
0for being more than or equal to 2 natural number.Wherein, the 1/N that beam splitter 2 separates
0light beam enters into thing arm light path OA, and through object 3 to be imaged.Can be through can be also to pass through with reflected version with transmission form through the light of object 3 to be imaged.Then collect the light of process object 3 to be imaged and converged to point probe 5 with lens 4.Point probe 5 can be for example photodiode.Lens 4 have formed first barrel of detector 45 together with point probe 5.First barrel of detector 45 obtains total distribution of light intensity signal S of the light of object 3 transmissions to be imaged or reflection
m, m represents the order of sampling.
The intensity being separated by beam splitter 2 is (N
0-1)/N
0another light beam enter unpolarized beam splitter 6 and be divided into according to 1:1 the two light beams that light intensity is equal.A branch of light beam that beam splitter 6 separates enters into the second reference arm light path RA2, and is received by second barrel of detector 78 wherein, obtains total distribution of light intensity signal R of the light beam that enters the second reference arm light path RA2
m.Similarly, m represents the order of sampling.Second barrel of detector 78 here can be made up of lens 7 and point probe 8.
Another light beams that beam splitter 6 separates enters into the first reference arm light path RA1, and by being arranged on the sample distribution of light intensity distributed intelligence of this light path of reference detector device in the first reference arm light path RA1.In the embodiment shown in fig. 1, this reference detector device comprises the first reference detector unit 15 and the second reference detector unit 16 that are arranged in parallel.For this reason, can in this first reference arm light path RA1,1:1 beam splitter 14 be set.The two-beam speed being separated by beam splitter 14 enters respectively the first reference detector unit 15 and the second reference detector unit 16 through port one 4a and port one 4b.
The first reference detector unit 15 and the second reference detector unit 16 are each to be formed by multiple reference detectors, and multiple reference detectors can accelerate to obtain the speed of image array data.Each reference detector all has spatial resolving power, it can be for example the camera of CCD, CMOS camera or any other type, as one for example, CCD can be EMCCD(electronic multiplying charge coupled device, electron multiplication charge-coupled image sensor).Multiple reference detectors are CCD, CMOS face array camera, or the face array camera of any other type.In order to realize relevance imaging, should ensure the lens 7 in each reference detector and second barrel of detector 78 of the first reference detector unit 15 and 16 inside, the second reference detector unit, equate to the distance of thermal light source 1 with object 3 to be imaged.Second barrel of detector 78 improved speed of detection on the one hand, triggers reference detector device on the other hand for selectivity, reduces the exposure frequency of reference detector device.
By the total distribution of light intensity signal S from first barrel of detector 45
mwith the total distribution of light intensity signal R from second barrel of detector 78
minput divider 9, by the ratio signal T producing
m=S
m/ R
msend into count comparator 10 pending.Count comparator 10 is for correlative value signal T
msampling number m count, and by described sampling order m and predetermined sampling number M
0compare.Predetermined sampling number M
0can pre-deposit count comparator 10, also deposit the second divider 12 simultaneously in.M
0can artificially set, for example, can set M
0=500.As m≤M
0time, count comparator 10 allows ratio signal T
mexport totalizer 11 to from port one 0a.The cumulative M of totalizer 11
0inferior, finally obtain accumulated value
this accumulated value is through pre-depositing predetermined sampling number M
0the second divider 12 of value obtains mean value
?
the second divider 12 is exported mean value T again
oto Discr. 13.Work as m>M
0time, count comparator 10 makes ratio signal T
mdirectly export Discr. 13 to by port one 0b.
The mean value T that Discr. 13 is inputted according to the second divider 12
oset dual threshold, wherein upper threshold value T
o +for T
0 +=(1+ α) T
0, lower threshold value T
o -for T
0 -=(1-α) T
0, 0< α <1.α is wherein customized parameter, and for example α can value be 0.25.When the port one 0b of count comparator 10 is every M
0ratio signal T is constantly exported in inferior sampling
mto Discr. 13, if comparing its value, Discr. 13 is greater than upper threshold voltage T
o +, i.e. T
m>T
o +, Discr. 13, through port one 3a output trigger pip, triggers one of them the reference detector exposure in the first reference detector unit 15.If comparing its value, Discr. 13 is less than threshold voltages, i.e. T
m<T
o -, Discr. 13, through port one 3b output trigger pip, triggers one of them the reference detector exposure in the second reference detector unit 16.The setting of two threshold values and triggering, make contained the containing much information of the each exposure of reference detector, and the image array data of acquisition are more efficient, thereby improved the efficiency of sampling, reduced hits.The reference detector of the first reference detector unit 15 and 16 inside, the second reference detector unit exports the image array data of collection respectively to different computer memory address A and the computer memory address B of computing machine 17.Computer memory address A and computer memory address B can be the interior different registers of computing machine 17.The principle of work of the first reference detector unit 15 and the second reference detector unit 16 is below describing in detail.
Computing machine 17, by the image array data of computer memory address A and computer memory address B reception, records respectively matrix data quantity N
+and N
-.By the processing to imaging noise, can obtain the image quality of high s/n ratio, high-contrast.Particularly, work as N
+=N
-time, inner computer memory address A corresponding image array data are deducted the inner corresponding image array data of computer memory address B by computing machine 17, obtains new image array data, does cumulative summation.Above process can adopt graphic system GPU video card parallel computation accelerated reconstruction, also can adopt custom-designed ASIC circuit board.For the image array data that obtain, computing machine 17 completes normalization, enhancing and the demonstration output of data simultaneously, now can obtain the reconstruction image of object 3 to be imaged.
Generally, in each reference detector unit 15 or 16 for example for the beam splitting arrangement of various beam splitters separates multiple sub-reference path arranged side by side from the first reference arm light path, each reference detector is arranged in corresponding described sub-reference path.Particularly, contrast Fig. 2 and Fig. 3 illustrates in the structural arrangement of the first reference detector unit 15 and the second reference detector unit 16 and workflow:
As shown in Figure 2, in the first reference detector unit 15, from the light beam of port one 4a, press 1:N beam splitting through beam splitter BSa1, light beam 1/ (N+1) by port a1 to reference detector Da1.Another part light beam N/ (N+1), through beam splitter, BSa2 presses 1:(N-1) beam splitting, export reference detector Da2 to by port a2.The rest may be inferred, until N light beams is divided into two bundles by 1:1 beam splitter BSan, wherein a light beam exports reference detector Dan to by an port, and another light beam enters reference detector Da (n+1).All reference detectors in the first reference detector unit 15 are by the first time schedule controller control, by Da1, Da2 ..., the order of Dan and Da (n+1) is exposed successively, and capable of circulation sampling.In the first reference detector unit 15, after each reference detector exposure, gained image array data all export the first hub to, can be inputed to by the unification of USB transmission technology the computer memory address A of computing machine 17.By multiple reference detectors rapid alternation in chronological order, make the exposure frame per second of reference detector can superposition, overcome that reference detector exposure frame per second is lower causes the slow restriction of sample rate.
As shown in Figure 3, in the second reference detector unit 16, from the light beam of port one 4b, press 1:N beam splitting through beam splitter BSb1, light beam 1/ (N+1) by port b1 to reference detector Db1.Another part light beam N/ (N+1), through beam splitter BSb1 by 1:(N-1) beam splitting exports reference detector Db2 to by port b2.The rest may be inferred, until N light beams is divided into two bundles by 1:1 beam splitter BSbn, exports reference detector Dbn to by port bn, and another part light beam enters reference detector Db (n+1).All reference detectors in the second reference detector unit 16 are by the second time schedule controller control, by Db1, Db2 ..., Dbn and Db (n+1) order, expose successively, and capable of circulation sampling.After each reference detector exposure in the second reference detector unit 16, gained image array data all export the second hub to, can be inputed to by the unification of USB transmission technology the computer memory address B of computing machine 17.The setting of the first reference detector unit 15 and the second interior time schedule controller in reference detector unit 16 and multiple reference detectors, has improved sampling rate greatly.
After the first reference detector unit 15 exposing through triggering and the second reference detector unit 16 exposures, will obtain signal I
r (m)(i, j) (i, j represents pixel coordinates).By signal I
r (m)(i, j) deposits the corresponding computer memory address A of computing machine 17 and computer memory address B in.The internal memory of general computer memory is limited, supposes and can realize at most M sampling.Computing machine counting M time, the image array data bulk that computer memory address A and computer memory address B are corresponding is equated, image array data corresponding computer memory address A are deducted to the image array data that computer memory address B is corresponding, i.e. I
r (m+)(i, j)-I
r (m-)(i, j), I
r (m+)(i, j) is computer memory address A image array data, I
r (m-)(i, j) is the image array data in computer memory address B, can obtain like this reconstructed image data of object 3 to be imaged.The cumulative of result subtracted each other in calculating,
can pass through computer programming, also can realize by hardware.This step can utilize Graphics Processing Unit GPU video card parallel calculating method to accelerate.By computer system to result
carry out image processing, as normalization, figure image intensifying, gray-scale value equalization, mean filters etc., obtain rebuilding image Δ T
(1).If image quality can not meet the demands, return and the internal memory of dump storage address A and computer memory address B, recalculate and obtain new reconstruction image Δ T
(2), carry out image addition with last time reconstruction image and be averaging, be i.e. (Δ T
(1)+ Δ T
(2))/2.By this image noise reduction and iterative process, can guarantee to obtain the reconstruction image that quality is high.
Be appreciated that in other embodiments, reference detector device also can only have an above-mentioned reference detector unit 15 or 16.In this case, Discr. 13 can be according to T
m>T
o +or T
m<T
o -both of these case provides corresponding distinguishing signal to computing machine 17, and computing machine 17 can deposit respectively different computer memory address A or B in reference to the detector cells 15 or 16 image array data that obtain of exposing according to this distinguishing signal.Now, also can omit the beam splitter 14 in Fig. 1.
Be further appreciated that and in the relevance imaging method of other type, can there is no the second reference arm light path RA2, that is to say and in its algorithm, do not need to gather aforesaid total distribution of light intensity signal R
m.In this case, in its first reference arm light path RA1, set reference detector device still can adopt single or multiple reference detectors unit of the present invention to sample.Now, also can omit the beam splitter 6 in Fig. 1.In addition, the setting of two threshold values and triggering, make contained the containing much information of the each exposure of reference detector, thereby improve sampling efficiency, reduces hits, is an important content of the present invention.
Although embodiments of the invention have only been enumerated the form that light source is thermal light source, relevance imaging system of the present invention be equally applicable to light field obey between the natural light of thermo-optical statistical distribution or the imaging scheme of artificial counterfeit thermal light source and light source and reference detector have, lensless imaging scheme.
Relevance imaging system of the present invention at least has following advantage:
1. the present invention can be for all relevance imaging technology of upgrading, and particularly can utilize the true thermal light source of various classics or counterfeit thermal light source and the compute associations imaging technique based on computing machine modulated beam of light space distribution to improve the speed of relevance imaging.
2. the present invention has overcome the slow restriction of reference detector sample rate in traditional association formation method, adopt multiple reference detectors rapid alternation in chronological order, making to expose frame per second can superposition, break through the restriction of existing reference detector in sample rate, thereby greatly improve sample rate, shortened imaging time.
3. the present invention has improved the efficiency of sampling.Hits can greatly reduce first; The 2nd, in calculating, do not re-use the associated multiplying of matrix, save computing time; Both combinations, make can realize in theory the quasi real-time imaging of second-time, break through the restriction that existing device can not be realized high-speed sampling and can not meet real time correlation imaging, make relevance imaging on imaging time, have qualitative leap, the image of the relevance imaging obtaining combines with specific image processing method formula, make relevance imaging technology on image quality or imaging time all close to practical.
4. confirm through experiment, imaging signal to noise ratio (S/N ratio) of the present invention is high, is not subject to the impact of environment, and antijamming capability is strong.
5. difference relevance imaging technology and normalization relevance imaging technology compared with traditional association imaging, have the raising of the order of magnitude in imaging signal to noise ratio (S/N ratio), therefore have very strong application, this imaging system to image size without algorithm limits.The present invention integrates difference relevance imaging and normalization relevance imaging has superiority, and draw all advantages of corresponding difference relevance imaging of time, imaging signal to noise ratio (S/N ratio) has the raising of the order of magnitude with respect to existing relevance imaging technology, particularly remarkable to the object effect of multi-level gray scale, and algorithm is relatively simple, simultaneously insensitive to neighbourhood noise, antijamming capability is strong.
So far, those skilled in the art will recognize that, illustrate and described of the present invention multiple exemplary embodiment although detailed herein, but, without departing from the spirit and scope of the present invention, still can directly determine or derive many other modification or the amendment that meet the principle of the invention according to content disclosed by the invention.Therefore, scope of the present invention should be understood and regard as and cover all these other modification or amendments.
Claims (10)
1. a relevance imaging system, carries out relevance imaging for utilizing thermal light source (1) to treat imaging object (3), comprising:
Thing arm light path, is provided with first barrel of detector (45) and described object to be imaged (3) in described thing arm light path, described first barrel of detector (45) is for the total distribution of light intensity signal S of described thing arm light path after described object to be imaged (3) that sample
m, m represents the order of sampling;
The first reference arm light path, is provided with the reference detector device for the distribution of light intensity distributed intelligence of described the first reference arm light path of sampling in described the first reference arm light path;
Wherein, described reference detector device comprises at least one reference detector unit (15,16), and reference detector unit described in each (15,16) comprise time schedule controller and the multiple reference detectors with spatial resolving power by described time schedule controller control; Wherein, under described time schedule controller control, described multiple reference detectors can expose to carry out described sampling successively.
2. relevance imaging system according to claim 1, wherein,
Described in each, reference detector unit also comprises: beam splitting arrangement, for separating multiple sub-reference path arranged side by side from described the first reference arm light path, described in each, reference detector is arranged in corresponding described sub-reference path.
3. according to the relevance imaging system described in any one in claim 1-2, wherein, also comprise:
The second reference arm light path, is provided with second barrel of detector (78) in described the second reference arm light path, for total distribution of light intensity signal R of described the second reference arm light path of sampling
m; With
Threshold value construction unit, for according to described total distribution of light intensity signal S
mwith total distribution of light intensity signal R
mratio signal T
m(S
m/ R
m) predetermined sampling number M
0mean value T
odetermine for described ratio signal T
mupper threshold value T
o +with lower threshold value T
o -, wherein, T
o +> T
o> T
o -;
Wherein, described reference detector device is arranged to only at described ratio signal T
mbe greater than described upper threshold value T
o +situation under or described ratio signal T
mbe less than described lower threshold value T
o -situation under carry out described sampling.
4. relevance imaging system according to claim 3, wherein, described threshold value construction unit comprises:
The first divider (9), for receiving the described total distribution of light intensity signal S from described first barrel of detector
mwith the described total distribution of light intensity signal R from described second barrel of detector (78)
m, and produce described ratio signal T
m;
Totalizer (11), for to described predetermined sampling number M
0described ratio signal T
madd up;
The second divider (12), for according to the accumulation result of described totalizer and described predetermined sampling number M
0obtain described mean value T
o; With
Discr. (13), for according to described mean value T
ogenerate described upper threshold value T
o +with described lower threshold value T
o -, by described ratio signal T
mwith described upper threshold value T
o +with lower threshold value T
o -compare, and only at described ratio signal T
mbe greater than described upper threshold value T
o +time or described ratio signal T
mbe less than described lower threshold value T
o -time send an exposure trigger pip to described reference detector device, carry out described sampling to trigger described reference detector device.
5. relevance imaging system according to claim 4, wherein, described threshold value construction unit also comprises:
Count comparator (10), for to described ratio signal T
msampling number count, to obtain described ratio signal T
msampling order m, and by described sampling order m and described predetermined sampling number M
0compare;
Wherein, be not more than described predetermined sampling number M at described sampling order m
0situation under, from the described ratio signal T of described the first divider (9)
mbe admitted to described totalizer (11); And described sampling order m is greater than described predetermined sampling number M
0situation under, from the described ratio signal T of described the first divider (9)
mbe admitted to described Discr. (13).
6. according to the relevance imaging system described in claim 4 or 5, wherein,
Described at least one reference detector unit (15,16) comprises the first reference detector unit (15) and the second reference detector unit (16);
Wherein, at described ratio signal T
mbe greater than described upper threshold value T
o +time, the reference detector that described exposure trigger pip triggers in described the first reference detector unit (15) exposes; At described ratio signal T
mbe less than described lower threshold value T
o -time, the reference detector that described exposure trigger pip triggers in described the second reference detector unit (16) exposes.
7. according to the relevance imaging system described in any one in claim 3-6, wherein,
Described upper threshold value T
o +with described lower threshold value T
o -be set as respectively T
0 +=(1+ α) T
0and T
0 -=(1-α) T
0, wherein α is customized parameter and 0< α <1.
8. relevance imaging system according to claim 6, wherein,
The image array data of described the first reference detector unit (15) and described the second reference detector unit (16) sampling gained are sent into respectively different computer memory address A and computer memory address B.
9. relevance imaging system according to claim 8, wherein,
In the time that the image array data bulk of computer memory address A and computer memory address B reception is M, the image array data that both are received are subtracted each other and to subtracting each other the result summation that add up, by computer system, the summed result that adds up are carried out to image processing and obtain rebuilding image.
10. relevance imaging system according to claim 1, wherein,
Described multiple reference detector is arranged as CCD or the CMOS face array camera with spatial resolving power.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN108469685A (en) * | 2018-05-17 | 2018-08-31 | 辽宁大学 | A kind of super-resolution relevance imaging system and imaging method |
| CN109724534A (en) * | 2019-02-01 | 2019-05-07 | 吉林大学 | A kind of Research on threshold selection and device for iteration relevance imaging |
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| CN110285755A (en) * | 2019-07-10 | 2019-09-27 | 吉林大学 | A kind of device and method for screening relevance imaging sampled data |
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| CN104484879B (en) * | 2014-12-19 | 2017-05-17 | 南京理工大学 | Method for estimating number of optimal orders |
| CN104484879A (en) * | 2014-12-19 | 2015-04-01 | 南京理工大学 | Method for estimating number of optimal orders |
| CN107192684A (en) * | 2016-03-14 | 2017-09-22 | 热映光电股份有限公司 | Gas concentration arrangement for detecting and its method for detecting |
| CN106154284A (en) * | 2016-06-17 | 2016-11-23 | 北京航空航天大学 | A kind of monochromatic light arm relevance imaging method that atmospheric turbulance is compensated |
| CN110308614A (en) * | 2018-03-20 | 2019-10-08 | 中国科学院物理研究所 | The method and apparatus of X-ray intensity relevance imaging |
| CN108469685B (en) * | 2018-05-17 | 2020-08-25 | 辽宁大学 | Super-resolution associated imaging system and imaging method |
| CN108469685A (en) * | 2018-05-17 | 2018-08-31 | 辽宁大学 | A kind of super-resolution relevance imaging system and imaging method |
| CN109814128A (en) * | 2019-01-23 | 2019-05-28 | 北京理工大学 | The high-resolution fast imaging system and method that time flight is combined with relevance imaging |
| CN109814128B (en) * | 2019-01-23 | 2020-08-11 | 北京理工大学 | High-resolution rapid imaging system and method combining time flight and associated imaging |
| CN109859135A (en) * | 2019-01-31 | 2019-06-07 | 北京邮电大学 | A kind of image enhancement processing method applied to relevance imaging |
| CN109859135B (en) * | 2019-01-31 | 2021-05-07 | 北京邮电大学 | Image enhancement processing method applied to associated imaging |
| CN109724534A (en) * | 2019-02-01 | 2019-05-07 | 吉林大学 | A kind of Research on threshold selection and device for iteration relevance imaging |
| CN109724534B (en) * | 2019-02-01 | 2020-05-05 | 吉林大学 | Threshold selection method and device for iterative correlation imaging |
| CN110285755A (en) * | 2019-07-10 | 2019-09-27 | 吉林大学 | A kind of device and method for screening relevance imaging sampled data |
| CN110285755B (en) * | 2019-07-10 | 2021-05-25 | 吉林大学 | Device and method for screening correlated imaging sampling data |
| CN112187457A (en) * | 2020-09-30 | 2021-01-05 | 长春大学 | Quantum password matrix correlation imaging method based on cloud service |
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