CN104865566B - A kind of distance measurement method based on relevance imaging - Google Patents
A kind of distance measurement method based on relevance imaging Download PDFInfo
- Publication number
- CN104865566B CN104865566B CN201510263692.3A CN201510263692A CN104865566B CN 104865566 B CN104865566 B CN 104865566B CN 201510263692 A CN201510263692 A CN 201510263692A CN 104865566 B CN104865566 B CN 104865566B
- Authority
- CN
- China
- Prior art keywords
- light
- light intensity
- distance
- path
- phase modulation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
- G01S11/12—Systems for determining distance or velocity not using reflection or reradiation using electromagnetic waves other than radio waves
Landscapes
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Optical Radar Systems And Details Thereof (AREA)
- Measurement Of Optical Distance (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The present invention relates to a kind of distance measurement method based on relevance imaging, based on relevance imaging general principle, realize spatial light phase modulation panel to the measurement of distance between target object.Relevance imaging needs two-way light intensity to carry out related calculation to be imaged, and leads up to the detection of target object coverlet pixel detector, is detection light path light intensity;Another road is directly detected by the detector with spatial resolution not by target object, is reference path light intensity, and both are carried out related calculation imaging.With strong interference immunity, the advantages of reliable and stable;The target of measurement distance is reached by being imaged, is realizing that measurement distance simultaneously, also obtains subject image, is obtaining the substantial amounts of information of object, this is not available for traditional distance-finding method.
Description
Technical field
The present invention relates to a kind of detection technique, more particularly to a kind of distance measurement technique method based on relevance imaging.
Background technology
Current distance measurement technique can only typically measure the distance of target object, complex structure, unitary function, it is impossible to obtain
Obtain the information such as the image of object.Patent " range measurement " (number of patent application 201080011510.9) describes a kind of utilize and launched
Range measurement, transmission signal of this method generation with pulse train, pulse letter are realized with the phase difference for receiving pulse train
Number there is defined pulse recurrence frequency so that transmission signal is dredged with frequency in a frequency domain, and transmission signal is oriented into determinand
Body, and receive the reflected signal from target object reflection, then the spectral line according to as defined in dredging frequency determines transmission signal and anti-
Signal phase difference is penetrated, ranging is realized according to phase difference.This structure is more complicated, makes and installation and debugging require higher, operation
It is cumbersome.And can only measurement distance, it is impossible to obtain the information such as the image of object, unitary function.
Relevance imaging is a kind of new imaging technique for being different from traditional imaging mode, and it is carried out into using light field correlation
Picture, relevance imaging only needs to a single pixel detector without spatial resolving power and obtains the light from object, and with sky
Between resolution capability detector be used for probe source information, can obtain the picture of object by associating computing.Relevance imaging is initial
It is to utilize the entangled photon pairs for changing generation under Spontaneous Parametric to realize, but people equally may be used using counterfeit hot light, thermal light source afterwards
To realize relevance imaging, the light source of most researchers concern imaging, the essence of imaging.But for relevance imaging application compared with
It is few.
The content of the invention
A kind of the problem of existing the present invention be directed to present range test, it is proposed that range measurement side based on relevance imaging
Method, according to relevance imaging general principle, proposes a kind of new method for being different from traditional range measurement, not only can with measurement distance,
The bulk informations such as the image of object can also be obtained.
The technical scheme is that:A kind of distance measurement method based on relevance imaging, specifically includes following steps:
1) detection light path light intensity is obtained:Range-measurement system light path is built, laser is exported from laser generator, is input to collimater
Correction, is then irradiated to spatial light phase modulation panel and is modulated, and modulation light is exported from spatial light phase modulation panel, through target object and double
Lens, light intensity coverlet pixel detector is collected, and sends into computer, and simultaneous computer auxiliary, output driving control signal constantly changes
Become spatial light phase modulation panel phase, multigroup detection light path light intensity Br;
2) analog references light path light intensity:It is theoretical according to Fresnel-Huygens, simulate different propagation distance in reference path
Light intensity I corresponding to Zr(x,y,Z);
3) association computing imaging and ranging:By step 1) and 2) gained BrAnd Ir(x, y, Z) carries out related calculation, and obtains one and is
The corresponding recovery image of different reference distance Z is arranged, the Y-PSNR for recovering image, the maximum corresponding ginseng of Y-PSNR is calculated
It is measurement distance to examine distance.
The step 1) middle detection light path light intensity BrFor:
Br=∫ ∫ Ir(x,y,L)T(x,y)dxdy
Wherein, T (x, y) represents target object, Ir(x, y, L) represents that in detection light path light goes out from spatial light phase modulation panel
Defeated rear propagation distance L light intensity, constantly changes phase-plate, and iterative operation n times can must detect light path light intensity Br。
The step 2) simulate the corresponding light intensity I in different propagation distance Z places in reference pathr(x, y, Z) is:
Ir(x, y, Z)=| Er(x,y,Z)|2,
Wherein, hZ(x, y) represents the Fresnel propagation function of propagation distance Z in reference path, symbolRepresent convolution meter
Calculate, Er(x, y, 0) is the Electric Field Distribution for being irradiated to the incident light before spatial light phase modulation panel, Er(x, y, Z) is from spatial light phase modulation panel
The Electric Field Distribution of light after output, propagation distance Z.
The step 3) the middle pixel value O (x, y) for recovering image:
Wherein,N number of light intensity average that n times operation single pixel detector is detected is represented, changes Z value values
Size, a series of reference path light intensity are drawn up using computer mould, can obtain a series of recovery images.
The beneficial effects of the present invention are:Distance measurement method of the invention based on relevance imaging, with strong interference immunity,
Reliable and stable the advantages of;The target of measurement distance is reached by being imaged, measurement distance is being realized simultaneously, object figure is also obtained
Picture, obtains the substantial amounts of information of object, and this is not available for traditional distance-finding method.
Brief description of the drawings
Fig. 1 is the Range Measurement System structure chart of the invention based on relevance imaging;
A series of recovery images that Fig. 2 is obtained for the present invention using different propagation distance Z in computer simulation reference path
Figure;
Fig. 3 calculates the Y-PSNR tendency chart for recovering image for the present invention.
Embodiment
Based on relevance imaging general principle, realize spatial light phase modulation panel to the measurement of distance between target object.It is associated to
As needing two-way light intensity to carry out related calculation to be imaged, the detection of target object coverlet pixel detector is led up to, is detection light
Road light intensity;By target object, do not detected by the detector with spatial resolution directly, be reference path light in another road
By force, both are carried out related calculation imaging.
The present invention obtains detection light path light intensity using light path is built;Reference path light intensity is then according to Fresnel-Huygens
Theory, using the reference path light intensity of computer simulation different propagation distance, detection light path light intensity and reference path light intensity are done
Related operation, obtains a series of recovery image of target objects, the corresponding reference distance in the optimal place of picture quality is to be measured
Distance.
Range Measurement System structure chart as shown in Figure 1 based on relevance imaging, system includes laser generator 1, collimater
2nd, spatial light phase modulation panel 3, target object 4, double lens 5, single pixel detector 6 and computer 7.Measurement space light phase modulation panel 3 is arrived
The distance between target object 4.This programme mainly includes three steps:
1st, the 1 range-measurement system figure built with reference to the accompanying drawings, laser exports from laser generator 1, is input to collimater 2 and corrects,
Then it is irradiated to spatial light phase modulation panel 3 to be modulated, modulation light is exported from phase-plate 3, through target object 4 and double lens 5, light
Strong coverlet pixel detector 6 is collected.Aided in by computer 7, output driving control signal, constantly change spatial light phase modulation panel phase
Position, can be detected light path light intensity vector Br, it is typically repeated times N and takes 16000,
Detect light path light intensity BrIt can be represented with formula (1):
Br=∫ ∫ Ir(x,y,L)T(x,y)dxdy (1)
Wherein, T (x, y) represents target object, Ir(x, y, L) represents that in detection light path light is defeated from spatial light phase modulation panel
Go out, the light intensity after propagation distance L, constantly change phase-plate, iterative operation n times can must detect light path light intensity Br;
2nd, it is theoretical according to Fresnel-Huygens using area of computer aided, reference light is simulated by formula (2) and formula (3)
Lu Shang, the light intensity I after different propagation distance Zr(x, y, Z), as shown in Figure 2 using different in computer simulation reference path
A series of recovery image graphs that propagation distance Z is obtained, it is specific as follows:
Formula (2) can obtain reference path glazing from the electric field point of the light after propagation distance Z after the output of spatial light phase modulation panel
Cloth Er(x,y,Z)
Wherein, hZ(x, y) represents the Fresnel propagation function of propagation distance Z in reference path, symbolRepresent convolution meter
Calculate, so as to obtain the Electric Field Distribution E of the light after reference path propagation distance Zr(x, y, Z), Er(x, y, 0) is to be irradiated to phase-plate
The Electric Field Distribution of preceding incident light.Reference path light intensity Ir(x, y, Z) can be calculated by formula (3):
Ir(x, y, Z)=| Er(x,y,Z)|2 (3)
3rd, the B that two steps are obtained above is utilizedrAnd Ir, according to formula (4), by BrAnd IrCarry out related calculation, obtain a series of
The corresponding recovery image of different reference distance Z, calculates the Y-PSNR (PSNR) for recovering image, Y-PSNR (PSNR) is most
Big corresponding reference distance is measurement distance,
Recover the pixel value O (x, y) of image:
Wherein,N number of light intensity average that n times operation single pixel detector is detected is represented, changes Z value values big
It is small, a series of reference path light intensity are drawn up using computer mould, a series of recovery images can be obtained by formula (4), wherein recovering figure
As the reference path distance at optimal quality is measurement distance, the matter for recovering image is weighed with Y-PSNR (PSNR)
Amount, the reference distance recovered corresponding to image Y-PSNR (PSNR) maximum is testing distance, as shown in Figure 3.
Claims (1)
1. a kind of distance measurement method based on relevance imaging, it is characterised in that specifically include following steps:
1)Obtain detection light path light intensity:Range-measurement system light path is built, laser is exported from laser generator, be input to collimater and rectify
Just, be then irradiated to spatial light phase modulation panel to be modulated, modulation light is exported from spatial light phase modulation panel, through target object and it is double thoroughly
Mirror, light intensity coverlet pixel detector is collected, and sends into computer, and simultaneous computer auxiliary, output driving control signal constantly changes
Spatial light phase modulation panel phase, multigroup detection light path light intensityB r ;
The detection light path light intensityB r For:
Wherein,T(x, y) target object is represented,I r (x, y, L) represent in detection light path, light is exported from spatial light phase modulation panel
Propagation distance afterwardsLLight intensity, constantly change phase-plate, iterative operationNIt is secondary, it can must detect light path light intensityB r ;
2)Analog references light path light intensity:It is theoretical according to Fresnel-Huygens, simulate different propagation distance in reference pathZInstitute
Corresponding light intensityI r (x, y, Z);
It is described to simulate different propagation distance in reference pathZThe corresponding light intensity in placeI r (x, y, Z) be:
,
,
Wherein,h Z (x, y) represent propagation distance in reference pathZFresnel propagation function, symbolRepresent convolutional calculation, E r (x,y,0) it is the Electric Field Distribution for being irradiated to the incident light before spatial light phase modulation panel,E r (x, y, Z) it is from spatial light phase modulation panel
Output, propagation distanceZThe Electric Field Distribution of light afterwards;
3)Associate computing imaging and ranging:By step 1)With 2)GainedB r WithI r (x, y, Z) carry out related calculation, obtain a series of
Different reference distancesZCorresponding recovery image, calculates the Y-PSNR for recovering image, the maximum corresponding reference of Y-PSNR
Distance is measurement distance;
The pixel value for recovering imageO(x, y):
,
Wherein,RepresentNWhat secondary operation single pixel detector was detectedNIndividual light intensity average, changesZIt is worth size, profit
A series of reference path light intensity are simulated with computer, a series of recovery images can be obtained.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510263692.3A CN104865566B (en) | 2015-05-21 | 2015-05-21 | A kind of distance measurement method based on relevance imaging |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510263692.3A CN104865566B (en) | 2015-05-21 | 2015-05-21 | A kind of distance measurement method based on relevance imaging |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104865566A CN104865566A (en) | 2015-08-26 |
CN104865566B true CN104865566B (en) | 2017-07-18 |
Family
ID=53911527
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510263692.3A Expired - Fee Related CN104865566B (en) | 2015-05-21 | 2015-05-21 | A kind of distance measurement method based on relevance imaging |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104865566B (en) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105842682A (en) * | 2016-05-06 | 2016-08-10 | 薛峰 | Vehicle safety interval detection system |
CN106791781B (en) * | 2016-12-15 | 2019-04-09 | 哈尔滨工业大学 | A kind of continuous wave phase measurement formula single pixel 3-D imaging system and method |
CN107219638B (en) * | 2017-05-27 | 2019-05-10 | 辽宁大学 | Super-resolution relevance imaging system and imaging method based on low-pass filtering |
CN107976687A (en) * | 2017-10-27 | 2018-05-01 | 华东交通大学 | Infrared imaging method and system based on coincidence measurement |
CN108663800B (en) * | 2018-04-16 | 2021-03-19 | 华东交通大学 | Optical encryption and decryption method, device and system |
CN113923313B (en) * | 2021-10-09 | 2023-06-27 | 上海理工大学 | Carrier generation type information hiding method and extraction method based on cartoon pattern |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104021522A (en) * | 2014-04-28 | 2014-09-03 | 中国科学院上海光学精密机械研究所 | Target image separating device and method based on intensity correlated imaging |
CN104101928A (en) * | 2014-07-25 | 2014-10-15 | 上海理工大学 | Beam splitter with continuous splitting ratios |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014193480A1 (en) * | 2013-05-28 | 2014-12-04 | Fusao Ishii | High contrast projection screen |
US9002112B2 (en) * | 2013-08-27 | 2015-04-07 | Trimble Navigation Limited | Video alignment system |
-
2015
- 2015-05-21 CN CN201510263692.3A patent/CN104865566B/en not_active Expired - Fee Related
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104021522A (en) * | 2014-04-28 | 2014-09-03 | 中国科学院上海光学精密机械研究所 | Target image separating device and method based on intensity correlated imaging |
CN104101928A (en) * | 2014-07-25 | 2014-10-15 | 上海理工大学 | Beam splitter with continuous splitting ratios |
Non-Patent Citations (1)
Title |
---|
《对应归一关联成像方案及关联成像在图像识别中的应用研究》;庄鹏;《中国优秀硕士学位论文全文数据库 信息科技辑》;20150515(第05期);正文第4-7、11-15、17-22页 * |
Also Published As
Publication number | Publication date |
---|---|
CN104865566A (en) | 2015-08-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104865566B (en) | A kind of distance measurement method based on relevance imaging | |
CN103268608B (en) | Based on depth estimation method and the device of near-infrared laser speckle | |
CN103323396B (en) | A kind of two-dimensional compression ghost imaging system based on coincidence measurement and method | |
TWI463244B (en) | System, device and method for acquiring depth image | |
CN104154878B (en) | A kind of optical imaging method using single pixel detector | |
CN102651135B (en) | Optimized direction sampling-based natural image matting method | |
CN104713497B (en) | Phase offset calibration method, the method for 3D SHAPE DETECTIONs, system and optical projection system | |
CN109215042B (en) | Photovoltaic cell panel hot spot effect detection system based on computer vision and calculation method thereof | |
US9444978B2 (en) | Turbulence-free camera system and related method of image enhancement | |
EP3594617B1 (en) | Three-dimensional-shape measurement device, three-dimensional-shape measurement method, and program | |
CN104345318A (en) | Wall corner bypassing type imaging system and imaging method based on calculating correlation imaging | |
JP2009032743A (en) | Abnormality detecting device for photovoltaic power generation system | |
CN106772310A (en) | A kind of objective identification devices and methods therefor based on calculating ghost imaging | |
CN102025919B (en) | Method and device for detecting image flicker and camera applying the device | |
CN105116542B (en) | A kind of double vision field computation relevance imaging system and method | |
CN107894284B (en) | A kind of infrared camera wave band comparative approach of combination detection efficiency | |
JP2010190675A (en) | Distance image sensor system and method of generating distance image | |
CN106296698A (en) | A kind of lightning 3-D positioning method based on stereoscopic vision | |
CN107316309A (en) | High spectrum image conspicuousness object detection method based on matrix decomposition | |
CN106706132A (en) | Infrared detecting device and method for target recognition in sea surface sun bright band | |
CN104778749B (en) | The method that photometric stereo vision based on grouping sparsity realizes non-lambertian object reconstruction | |
CN106324615A (en) | Underwater extra-long-distance imaging device and imaging method based on ghost image calculation | |
CN103728022B (en) | A kind of bearing calibration of bad pixel | |
CN103968943B (en) | A kind of accurate measurement method of fiber spectrometer signal to noise ratio (S/N ratio) | |
CN105513071A (en) | Topographic map schema quality evaluation method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
EXSB | Decision made by sipo to initiate substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170718 Termination date: 20200521 |