CN103777206A - Single-pixel imaging system based on polarization correlated imaging - Google Patents
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- CN103777206A CN103777206A CN201410036686.XA CN201410036686A CN103777206A CN 103777206 A CN103777206 A CN 103777206A CN 201410036686 A CN201410036686 A CN 201410036686A CN 103777206 A CN103777206 A CN 103777206A
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Abstract
The invention discloses a single-pixel imaging system based on polarization correlated imaging. The single-pixel imaging system based on polarization correlated imaging comprises a light source, a modulator, a polarizer, a lens, a polarization analyzer, a filtering sheet, a single-point light intensity detector and a synchronous control and data acquisition module. An emitting end enters the modular through the light source, so that a light field with the light intensity distribution fluctuating randomly is generated, polarization of emergent light is modulated through the polarizer, and the emergent light is emitted to a detection target; the light reflected back through a target object is converged by a receiving end through the lens and the light is converged at the single-point light intensity detector through the polarization analyzer and the filtering sheet; the synchronous control and data acquisition module synchronously controls the emitting end and the receiving end, conducts data acquisition and resolves an association algorithm. According to the single-pixel imaging system based on polarization correlated imaging, the target is detected, identified and imaged through polarization information and intensity correlation of the light, the target detection identification rate and the imaging contrast ratio of traditional correlated imaging are improved, and the system has the advantages of being resistant to complicated background interference and the like.
Description
Technical field
The present invention relates to target detection identification and imaging field, relate in particular to a kind of single pixel imaging system based on polarization relevance imaging.
Background technology
Target detection is identified and is imaged on has important application various aspects such as military affairs detection, intelligent monitoring, biomedicine.Relevance imaging, or claim terrible imaging, as a kind of emerging imaging means, obtain in recent years significant progress.Than traditional imaging, it has single pixel imaging, and without space array detector, anti-scattering medium interference performance is strong, improves the advantages such as imaging resolution, in actual applications the more and more important function of performance.But total light intensity of traditional relevance imaging receiving target and background reflectance is carried out associated recovery.When target is in complicated and broad lower time of background, background light intensity is very large to target light strong jamming, has even flooded target information.When different target reflective light intensity ability difference under same detection, the fluctuation of reflective light intensity is dominated by the strong target of reflection potential on the other hand.Traditional relevance imaging is difficult to recover target information in these cases.
Polarization, as another key property of light, owing to being difficult for the directly perception by human eye institute, is easily left in the basket in traditional detection or formation method.But needing in actual applications the target of surveying in material constituent, surfaceness, the everyways such as water cut and background are not quite similar.Make polarization information separately have larger difference, check and identification target capability so can utilize polarization information to improve.Detection based on polarization and imaging mode have obtained development rapidly, and range of application constantly expands, and becomes the focus in acquisition of information field.
Therefore, in order to add polarization information, combine with relevance imaging, those skilled in the art is devoted to design a kind of single pixel imaging system based on polarization relevance imaging, without space array detector, can improve traditional association imageable target and detect discrimination and imaging resolution, anti-scattering medium and complex background interference performance are strong.This technology is investigated in military affairs, surveys, and in the fields such as remote sensing, all has great significance.
Summary of the invention
Because the above-mentioned defect of prior art, technical matters to be solved by this invention is to provide one can improve traditional association imageable target detection discrimination and imaging resolution, anti-scattering medium and the strong imaging system of complex background interference performance.
For achieving the above object, the invention provides a kind of single pixel imaging system based on polarization relevance imaging, comprise: light source, modulator, the polarizer, lens, analyzer, filter plate, single-point light intensity detector and synchro control and data acquisition module, light source is incident to modulator, produces the light field of light distribution random fluctuation; Polarizer modulation outgoing polarisation of light, and be emitted to target object place; Lens converge the reflected light of target object, then modulate catoptrical polarization through analyzer, then after filter plate, survey catoptrical light intensity value by single-point light intensity detector; Synchro control and data acquisition module carry out synchro control to modulator and single-point detector, and carry out data acquisition and association algorithm resolves, detection identification and the imaging of realize target.
Further, light source be monochromatic continuously or pulsed laser, monochromatic LED, after ordinary light source (even daylight) pack, choose narrowband wavelength by filter plate and also can as light source.
Further, modulator adopts spatial light modulator (SLM) or digital micro-mirror array (DMD).
Further, the polarizer adopts linear polarizer to produce line polarisation, when needs produce rotatory polarization or the elliptic polarization light time needs linear polarizer to add that quarter-wave plate or linear polarizer add half-wave plate and add quarter-wave plate, or other has the prism combination (for example, Glan-Taylor prism) of polarization effect.Analyzer adopts the linear polarizer identical with the polarizer or linear polarizer to add quarter-wave plate or linear polarizer to add that half-wave plate adds quarter-wave plate or other prism combines (for example, Glan-Taylor prism).
Further, lens adopt convex lens or concavees lens.
Further, filter plate is the narrow band filter slice corresponding with the wavelength of light source.
Further, single-point light intensity detector adopts photodiode or photomultiplier (PMT).
Further, imaging system takes multiple measurements stack, the modulation intelligence of the light intensity value obtaining and light source is done to corresponding associated computing and draw object imaging, specifically calculates according to following formula (1):
G(x,y)=<(S
i-<S
i>)(P
i(x,y)-<P
i(x,y)>)>(1)
Wherein, G(x, y) be the picture of target object, N is measurement number of times,
represent the mean value of measuring for N time, S
ithe light field of surveying for single-point light intensity detector is worth by force, P
i(x, y) is the distribution of distribution of light intensity Random Graph.
In preferred embodiments of the present invention, measure times N=20000, also can adopt N to be more than or equal to the arbitrary value in 1000 scopes, measuring number of times increases with the residing circumstance complication degree of target object.
Further, synchro control and data acquisition module adopt data collecting card, and are connected and carry out data acquisition with described modulator and described single-point light intensity detector respectively by physical connection, to carry out synchro control.
Further, synchro control and data acquisition module also can adopt the algorithm method of synchronization, modulator and single-point light intensity detector are separate, and single-point light intensity detector adopts the speed higher than spatial light modulator modulation rate to carry out light intensity value collection, then separates synchronous operation.
The course of work of the single pixel imaging system based on polarization relevance imaging of the present invention is as follows:
1, user generates the modulation intelligence that modulator is carried out to random strength modulation in advance.
2, light source is incident to after modulator, and modulator carries out primary modulation according to existing preset modulation intelligence to light field, generates the light field of desirable spatial light intensity stochastic distribution.
3, emergent light is modulated its light field polarization information through the polarizer.
4, the analyzing state of analyzer is set, and the light after target object reflection is converged by lens, and by analyzer, analyzing goes out corresponding light field.
5, single-point light intensity detector receives and converges through lens, and carries out luminous intensity measurement by the light field after filter plate.
6, repeat 2-5 operation, altogether carry out N time and measure, the size of N can be according to user the demand to image definition, and external influence decision.
7, N single-point light intensity detector recorded to light intensity value and carry out associated computing with the modulation intelligence prestoring according to formula (1), obtain the picture of target object.
8, change the analyzing state of analyzer, repeat 2-7 operation, the target that can obtain under different analyzing states is recovered information, the polarization characteristic of combining target relatively extracts optimal effectiveness, and can carry out polarization difference relevance imaging by the antipodal two groups of data of analyzing state, realize background and suppress, improve image contrast.
Imaging system of the present invention adopts the single pixel imaging system based on polarization relevance imaging, and compared with prior art, the present invention has following beneficial effect:
1, can optionally from complex background, extract target Intensity Fluctuation by polarization information, Background suppression light, carries out relevance imaging, overcomes the low shortcoming of the anti-complex background ability of traditional association imaging mode.
2, can be according to the polarization characteristic of different target, simultaneously or in succession recover the target of different reflection characteristics, overcome traditional association imaging and cannot recover the shortcoming of weak reflectance target.
3, use the preset light source that can modulate, save the measurement of the information to light source, the data that only need measuring-signal road just can imaging, single-point light intensity detector picking rate is high, image data amount is little, and detector does not need to have spatial resolving power, can overcome in traditional imaging some infrared band detector array expensive or differentiate the shortcoming of rate variance.
The number of times that 4, can change according to the requirement to object sharpness sampling, dirigibility is high.
Below with reference to accompanying drawing, the technique effect of design of the present invention, concrete structure and generation is described further, to understand fully object of the present invention, feature and effect.
Accompanying drawing explanation
Fig. 1 is the single pixel imaging system schematic diagram based on polarization relevance imaging of the present invention;
Fig. 2 is the single pixel imaging system schematic diagram based on linear polarization relevance imaging in complex background situation of the embodiment of the present invention 1;
Fig. 3 is the single pixel imaging system schematic diagram based on linear polarization relevance imaging under different reflection characteristic targets of the embodiment of the present invention 2.
Embodiment
Below in conjunction with specific embodiment, the present invention is described in detail.Following examples will contribute to those skilled in the art further to understand the present invention, but not limit in any form the present invention.It should be pointed out that to those skilled in the art, without departing from the inventive concept of the premise, can also make some distortion and improvement.These all belong to protection scope of the present invention.
As shown in Figure 1, a kind of single pixel imaging system based on polarization relevance imaging, comprising: light source 1, modulator 2, the polarizer 3, lens 4, analyzer 5, filter plate 6, single-point light intensity detector 7 and synchro control and data acquisition module 8.Transmitting terminal is incident on modulator 2 by light source 1, produces the light field of light distribution random fluctuation, by the rear modulation outgoing of the polarizer 3 polarisation of light, and is emitted to detecting objects body 9 places; Receiving end converges by lens 4 light that target object 9 reflects, and converges at single-point light intensity detector 7 by analyzer 5 and filter plate 6; Synchronization module and data acquisition module 8 be to transmitting terminal and receiving end synchro control, and carry out data acquisition and association algorithm resolves.
The requirement of light source 1 is not strict, monochromatic continuously or pulsed laser or monochromatic LED, or after ordinary light source (even daylight) pack, choose narrowband wavelength by filter plate and also can as light source.
It is the light field of random fluctuation that modulator 2 distributes for generation of distribution of light intensity, and the optical field distribution figure that needs default one group of stochastic distribution is as with reference to road signal.Similarly have living space photomodulator (SLM), digital micro-mirror array (DMD) etc. of product.
The polarizer 3 useable linear polaroids or linear polarizer add that quarter-wave plate or linear polarizer add half-wave plate and add quarter-wave plate generation all kinds polarized light, analyzer 5 can add that quarter-wave plate or linear polarizer add half-wave plate and add quarter-wave plate and carry out analyzing by the linear polarizer identical with the polarizer 3 or linear polarizer, and other devices also can be used as the polarizer 3 or analyzer 5 as Glan-Taylor prism.In the time only need to utilizing line polarisation, as shown in Figures 2 and 3, can be only by linear polarizer 11.
Single-point light intensity detector 7 reflects through lens 4 and converges and the filtered distribution of light intensity of filter plate 6 for gathering target object 9, can realize with photodiode or photomultiplier (PMT).
Synchro control for realizing synchronizeing and carrying out data acquisition of modulator 2 and single-point light intensity detector 7, guarantees that each modulation and the light intensity gathering are mapped with data acquisition module 8.Synchronization module has two kinds of ways: one is directly to be connected by physical connection line, accurately controls; The 2nd, without physical connection line, two ends are completely independent, and the speed that collection terminal single-point light intensity detector 7 use are higher than modulated light source modulation rate gathers, and then the later stage is separated synchronous operation by respective algorithms.The data that single-point detector is collected and the distribution of preset random light field are done association algorithm and can be recovered target information.
Embodiment mono-
As shown in Figure 2, a single pixel system based on linear polarization relevance imaging in complex background situation, comprising: the continuous He-Ne laser instrument 12 of 632.8nm, digital micro-mirror array (DMD) 10, linear polarizer 11(are as the polarizer), lens, linear polarizer 11(are as analyzer), 632.8nm filter plate 6, photodiode 13 and synchro control and data acquisition module 8.Digital micro-mirror array comprises 1024 × 768 micro mirrors, and the value that generates in advance N=20000(N is more than or equal to 1000 and can implements equally the present embodiment) width light field Random Graph P
i(x, y), and with the speed of 100 frame/seconds, the laser that incides digital micro-mirror array (DMD) 10 is modulated, linear polarizer 11(is as the polarizer) be set to vertical polarization, making emergent light is the orthogonal polarized light of light field stochastic distribution, and irradiates on target object 9.Target is in a bulk of white foam, to have a key, and the reflective light intensity fluctuation of foam is very large on the impact of key, has almost flooded the reflective light intensity fluctuation of key.Traditional association is imaged on and is difficult in this case recover target information, image blur, and it is key that basic None-identified goes out.
Receiving end utilizes bore for 50mm, and the lens 4 that focal length is 75mm converge, and linear polarizer 11(is as analyzer) be set to the polarization direction parallel with the polarizer.The wide part that target key fires back is all vertical polarization, all can see through analyzer, and the linearly polarized light that the light of foam reflection is all directions, some can pass through analyzer, has greatly suppressed the interference of background.
Single-point light intensity detector adopts photodiode 13, by synchro control and data acquisition module 8 and digital micro-mirror array (DMD) 10 synchronous acquisitions, sample frequency is 100Hz, and the value that sampling number is N=20000(N is more than or equal to 1000 can implement the present embodiment equally), sampled value is S
i, the measured value being obtained by photodiode 13 and the modulation intelligence of preset light source carry out associated computing and just can draw picture G(x, the y of target object according to formula (1)), can identify target object 9 is keys.Along with the increase of N, obtaining picture can become clear gradually.
On the other hand, analyzer being set is the polarization direction vertical with the polarizer.The wide part that target key reflects is suppressed, and bias light still some can pass through analyzer, the measured value being obtained by single-point detector is S
i *, by S
ideduct S
i *, obtain
can eliminate most background, it is more clear to obtain, the better image of contrast, and in image, the border of key and background is more clear.
Embodiment bis-
As shown in Figure 3, the present embodiment is the single pixel imaging system based on linear polarization relevance imaging under different reflection characteristic targets.500nm wavelength LED light source 14 exposes to digital micro-mirror array, is radiated on target object 9 by the linear polarizer 11 of vertical polarization, and target is made up of four letters " SJTU ", and wherein S and T are formed by masking foil cutting, and J and U are that the cutting of white hard paper plate forms.In traditional association imaging, reflection light field fluctuation is leading by S and T, and the information of J and U is submerged to such an extent as to cannot recovers.
Receiving end analyzer is divided into two-way by polarization beam apparatus (PBS) 15, vertical polarization and horizontal polarization, and gather light intensity by two photodiodes 13, and process and Recovery image via late time data module.It is similar that other is arranged at embodiment mono-, repeats no more.Wherein adopt traditional association imaging to recover to show S and T in the recovery figure of object information, and J and U are without demonstration; Adopt polarization relevance imaging, compare and the recovery figure that adopts traditional association imaging with the recovery figure of the output terminal calculation result of polarizer polarization direction level, S and T are more clear, and J and U are still without demonstration; J and the clear demonstration of U in the recovery figure of the output terminal calculation result vertical with polarizer polarization direction, S and T are without demonstration.Hence one can see that, and polarization association table pixel imaging system not only can improve image quality, and can recover respectively the target of different qualities, overcome the shortcoming of traditional association imaging.
More than describe preferred embodiment of the present invention in detail.The ordinary skill that should be appreciated that this area just can design according to the present invention be made many modifications and variations without creative work.Therefore, all technician in the art, all should be in by the determined protection domain of claims under this invention's idea on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment.
Claims (10)
1. the single pixel imaging system based on polarization relevance imaging, it is characterized in that, comprise: light source, modulator, the polarizer, lens, analyzer, filter plate, single-point light intensity detector and synchro control and data acquisition module, described light source is incident to described modulator, produces the light field of light distribution random fluctuation; Described polarizer modulation outgoing polarisation of light, and be emitted to target object place; Described lens converge the reflected light of described target object, then modulate catoptrical polarization through described analyzer, then after described filter plate, survey described catoptrical light intensity value by described single-point light intensity detector; Described synchro control and data acquisition module carry out synchro control to described modulator and described single-point detector.
2. the single pixel imaging system based on polarization relevance imaging as claimed in claim 1, is characterized in that, described light source adopts mono-colour laser or monochromatic LED.
3. the single pixel imaging system based on polarization relevance imaging as claimed in claim 1, is characterized in that, described modulator adopts spatial light modulator or digital micro-mirror array.
4. the single pixel imaging system based on polarization relevance imaging as claimed in claim 1, it is characterized in that, the described polarizer adopts the linear polarizer corresponding with the wavelength of described light source or described linear polarizer to add quarter-wave plate or described linear polarizer to add half-wave plate and add described quarter-wave plate; Described analyzer adopts the described linear polarizer identical with the described polarizer or described linear polarizer to add described quarter-wave plate or described linear polarizer to add described half-wave plate and add described quarter-wave plate.
5. the single pixel imaging system based on polarization relevance imaging as claimed in claim 1, is characterized in that, described lens adopt concavees lens or convex lens.
6. the single pixel imaging system based on polarization relevance imaging as claimed in claim 1, is characterized in that, described filter plate is the narrow band filter slice corresponding with the wavelength of described light source.
7. the single pixel imaging system based on polarization relevance imaging as claimed in claim 1, is characterized in that, described single-point light intensity detector adopts photodiode or photomultiplier.
8. the single pixel imaging system based on polarization relevance imaging as claimed in claim 1, is characterized in that, described system takes multiple measurements stack, the described light intensity value obtaining is done to associated computing with the light field producing through described modulator and draw object imaging.
9. the single pixel imaging system based on polarization relevance imaging as described in claim 1-8 any one, it is characterized in that, described synchro control and data acquisition module adopt data collecting card, and are connected and carry out data acquisition with described modulator and described single-point light intensity detector respectively by physical connection.
10. the single pixel imaging system based on polarization relevance imaging as described in claim 1-8 any one, it is characterized in that, described synchro control and data acquisition module adopt the algorithm method of synchronization, described modulator and described single-point light intensity detector are separate, the mode that adopts the detection rate of described single-point light intensity detector to be greater than the modulation rate of described modulator is carried out described light intensity value collection, then separates synchronous operation.
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Publication number | Priority date | Publication date | Assignee | Title |
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Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050151965A1 (en) * | 2003-11-26 | 2005-07-14 | Florida Environmental Research Institute, Inc. | Spectral imaging system |
CN1963381A (en) * | 2005-10-24 | 2007-05-16 | 通用电气公司 | Method and apparatus for inspecting an object |
CN101078765B (en) * | 2007-07-05 | 2010-10-13 | 北京航空航天大学 | Laser radar remote sensing polarized imaging system |
CN103323396A (en) * | 2013-06-28 | 2013-09-25 | 中国科学院空间科学与应用研究中心 | Two-dimensional compression ghost imaging system and method based on coincidence measurement |
-
2014
- 2014-01-26 CN CN201410036686.XA patent/CN103777206B/en not_active Expired - Fee Related
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050151965A1 (en) * | 2003-11-26 | 2005-07-14 | Florida Environmental Research Institute, Inc. | Spectral imaging system |
US7369229B2 (en) * | 2003-11-26 | 2008-05-06 | Florida Environmental Research Institute, Inc. | Spectral imaging system |
CN1963381A (en) * | 2005-10-24 | 2007-05-16 | 通用电气公司 | Method and apparatus for inspecting an object |
CN101078765B (en) * | 2007-07-05 | 2010-10-13 | 北京航空航天大学 | Laser radar remote sensing polarized imaging system |
CN103323396A (en) * | 2013-06-28 | 2013-09-25 | 中国科学院空间科学与应用研究中心 | Two-dimensional compression ghost imaging system and method based on coincidence measurement |
Non-Patent Citations (1)
Title |
---|
YINZUO ZHANG ET AL.: "Imaging through aberrating media by computational ghost imaging with incoherent light", 《CHINESE OPTICS LETTERS》 * |
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