CN101963666A - Method for correcting intensity image distortion of streak tube imaging laser radar - Google Patents
Method for correcting intensity image distortion of streak tube imaging laser radar Download PDFInfo
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- CN101963666A CN101963666A CN 201010287063 CN201010287063A CN101963666A CN 101963666 A CN101963666 A CN 101963666A CN 201010287063 CN201010287063 CN 201010287063 CN 201010287063 A CN201010287063 A CN 201010287063A CN 101963666 A CN101963666 A CN 101963666A
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Abstract
The invention relates to a method for correcting the intensity image distortion of a streak tube imaging laser radar, and belongs to the technical fields of photoelectronic imaging and image processing. In the method, a static image and a dynamic image of a target are subjected to filtering, wherein the luminance value of a streak tube fluorescent screen of the current streak data point on a static calibration line is shown as L0i, and a gray value of a pixel point of a point (x, yi) in an image to be processed is shown as Gxyi; the distance that the current streak data point is away from the static calibration line is farther, namely accelerating voltage subjected to the current streak data point is larger, the weakening of an intensity value of the current streak data point is worse, so the intensity image distortion of the current streak data point is corrected. The method has the advantages of small computation, simplicity and easy operation, is suitable for a laser radar system based on steak tube three-dimensional imaging and particularly a real-time data-processing system, and can reflect target properties really and provide accurate data for subsequent range information.
Description
Technical field
The present invention relates to the bearing calibration of a kind of striped pipe imaging laser radar intensity image distortion, belong to photoelectronic imaging and technical field of image processing.
Background technology
The laser three-dimensional imaging radar is international in recent years research focus, and it is the product that laser technology combines with Radar Technology, and in military affairs, there is vast potential for future development in fields such as space flight.Imaging laser radar based on the striped pipe is most promising a kind of in all laser three-dimensional imaging radar systems.In the imaging laser radar system based on the striped pipe, the range information that obtains target is the core of total system, also is the final purpose of whole imaging task.Stripe pattern is the most important Data Source that extracts target range information, and the quality that stripe pattern is handled is directly connected to the degree of accuracy that follow-up target range is extracted.In the actual imaging system, it has been generally acknowledged that the video screen fringe intensity image that CCD catches promptly is the power that has reflected the target return laser beam.Yet, fluoroscopic bright dark not only relevant with the density of accelerated electron beam, also relevant with the accelerating potential of electron beam, the different electron beams that arrive constantly have different accelerating potentials, the relative intensity information of so dynamic stripe pattern has just produced certain distortion, if with this view data as follow-up distance extraction, not only can not react target really, more directly influenced follow-up range information extraction work, made range information extract and be based upon on the inaccurate data basis.
Summary of the invention
The objective of the invention is in order to solve in the prior art owing to the extraction that intensity is not proofreaied and correct the range information that causes as data is based upon on the inaccurate data basis, the bearing calibration of a kind of striped pipe imaging laser radar intensity image distortion is proposed, this method is to fringe intensity image weighted, method is simple, be specially adapted to real-time striped pipe three-dimensional imaging laser radar system, guaranteed that range information extracts the accurate of data.
The objective of the invention is to be achieved through the following technical solutions.
The bearing calibration of a kind of striped pipe imaging laser radar intensity of the present invention image distortion, its concrete steps are:
1) to the still image M of target
sAdopt least square method to carry out static datum line and demarcate, obtain the ordinate y of the i bar static demarcating line of single pixel wide
0i, all ordinates of static demarcating line are y
01, y
02... y
0i... y
0m, wherein i is 1~m, m is the fringe number of stripe pattern;
2) to the dynamic image M of target
dCarry out the border and keep the class smothing filtering, the image that obtains is designated as M
D0
3) according to the ordinate y of the static demarcating line that obtains
01, y
02... y
0i... y
0mAt filtered dynamic image M
D0The corresponding surely straight line of last corresponding coordinate subscript, demarcating the pending image of finishing is M
d';
4) measure the difference of target range distance as requested, set the predeterminated voltage value V of striped pipe
p, the luminous required minimum voltage value of striped tube fluorescent screen is V in the characteristic parameter of striped pipe
d
5) a semi-transparent semi-reflecting glass column is added the magnitude of voltage that scanning voltage is imaged as the point of a series of even distances and notes this series of points, the magnitude of voltage between any 2 of these a series of dibblings and the ratio between the distance value value that obtains of averaging is designated as r;
If x is that current fringe number strong point is in pending image M
d' in horizontal ordinate, y
iFor current fringe number strong point in pending image M
d' in ordinate, the scanning voltage value of the striped pipe of then current fringe number strong point correspondence is formula (1):
V=Vp+(y
i-y
0i)r (1)
6) the striped tube fluorescent screen luminosity of establishing current fringe number strong point correspondence is L
i, L then
iComputing formula be formula (2):
L
i=Aj
i(V
i-V
d)
n (2)
V in the formula
iFor current fringe number strong point correspondence this moment the striped pipe the accelerating potential value, A with n is and the relevant parameter of striped tube fluorescent screen medium, j
iElectron stream density for current fringe number strong point correspondence;
7) if under non-deflection situation, then current fringe number strong point is dropped on the static demarcating line, and remembers that the striped tube fluorescent screen brightness at current fringe number strong point is L
0i, L then
0iShown in (3) formula:
L
0i=Aj
i(V
p-V
d)
n (3)
8) can obtain the striped tube fluorescent screen brightness value L of current fringe number strong point on the static demarcating line by above (1) (2) (3) formula
0iBe formula (4), and hypothesis n=1:
9) pending image M
d' in (x, y
i) point gray values of pixel points G
XyiExpression;
10) with the ordinate y of static demarcating line
01, y
02... y
0i... y
08For benchmark is treated processed image M respectively
d' go up the gray values of pixel points G of every stripe image
XyiMake weighted, weights are
Gray values of pixel points G after the conversion
Xyi' as the formula (5):
Current as can be seen fringe number strong point is far away more apart from the static demarcating line, and the suffered accelerating potential in promptly current fringe number strong point is big more, and the be weakened the more powerful intensity image distortion at then current fringe number strong point of the intensity level at current fringe number strong point obtains proofreading and correct.
Beneficial effect
The present invention is to having carried out the weighted correction because the screen brightness that imaging mechanism causes distorts, method is by existing essential data, and operand is little, and is simple, and be common to laser radar system, especially real-time data handling system based on the three-dimensional imaging of striped pipe; Not only can reflect target property comparatively really, more follow-up range information provides accurate data.
Description of drawings
Fig. 1 is the dynamic image M of target
d
Fig. 2 is the dynamic image M after the process SNN filtering
D0
Fig. 3 is M for demarcating the pending image of finishing
d';
Fig. 4 is for proofreading and correct the image after finishing.
Embodiment
The present invention will be further described below in conjunction with drawings and Examples.
Embodiment
The bearing calibration of a kind of striped pipe imaging laser radar intensity image distortion, its concrete steps are:
1) still image of target is 400*400, to the still image M of target
sAdopt least square method to carry out static datum line and demarcate, obtain the ordinate y of the static demarcating line of single pixel wide
01, y
02... y
0i... y
08The ordinate of the datum line that extracts is as shown in the table:
Striped | ?y 01 | y 02 | y 03 | y 04 | y 05 | y 06 | y 07 | y 08 |
Coordinate | ?50 | 86 | 125 | 162 | 197 | 232 | 270 | 290 |
2) dynamic image of target is 400*400, as shown in Figure 1, and to the dynamic image M of target
dCarry out the SNN border and keep the class smothing filtering, its stencil value is 3; SNN is neighbour's mean filter, and the image that obtains is designated as M
D0, as shown in Figure 2;
3) according to the ordinate y of the static demarcating line that obtains
01, y
02... y
0i... y
08At filtered dynamic image M
D0The corresponding surely straight line of last corresponding coordinate subscript, demarcating the pending image of finishing is M
d', as shown in Figure 3;
4) distance of measuring target as requested is 50m, sets the predeterminated voltage value V of striped pipe
pBe 1000V, the luminous required minimum voltage value V of striped tube fluorescent screen in the characteristic parameter of striped pipe
dBe 500V;
5) a semi-transparent semi-reflecting glass column is added the magnitude of voltage that scanning voltage is imaged as the point of a series of even distances and notes this series of points, the magnitude of voltage between any 2 of these a series of dibblings and the ratio between the distance value value that obtains of averaging is designated as r=0.68V;
If x is that current fringe number strong point is in pending image M
d' in horizontal ordinate, y
iFor current fringe number strong point in pending image M
d' in ordinate, the scanning voltage value V of the striped pipe of then current fringe number strong point correspondence is:
V=1000+0.68(y
i-y
0i)
6) establish the striped tube fluorescent screen luminosity L of current fringe number strong point correspondence
iFor:
L
i=Aj
i(V
i-500)
7) if under non-deflection situation, then current fringe number strong point is dropped on the static demarcating line, and remembers the striped tube fluorescent screen brightness L at current fringe number strong point
0iFor:
L
0i=500Aj
i
8) according to step 5), 6) and 7) the striped tube fluorescent screen brightness value L of current fringe number strong point on the static demarcating line can be obtained
0iFor:
9) pending image M
d' in (x, y
i) point gray values of pixel points G
XyiExpression;
10) with the ordinate y of static demarcating line
01, y
02... y
0i... y
08For benchmark is treated processed image M respectively
d' go up the gray values of pixel points G of every stripe image
XyiMake weighted, weights are
Gray values of pixel points G after the conversion
Xyi' be:
Promptly
Wherein, y
i=y
1, y
0i=y
01=50;
With the Matlab software for calculation according to the above-mentioned processed image M for the treatment of respectively
d' in each pixel in every stripe bring above-mentioned formula into and travel through calculating, the image that obtains as shown in Figure 4, compare Fig. 3 as can be seen by Fig. 4, every stripe image is that benchmark has all obtained weakening in various degree with the static demarcating line, distortion in images has obtained correction, for follow-up intensity provides reliable accurate data as reconstruct and range information.
Claims (2)
1. the bearing calibration of striped pipe imaging laser radar intensity image distortion is characterized in that concrete steps are:
1) to the still image M of target
sAdopt least square method to carry out static datum line and demarcate, obtain the ordinate y of the i bar static demarcating line of single pixel wide
0i, all ordinates of static demarcating line are y
01, y
02... y
0i... y
0m, wherein i is 1~m, m is the fringe number of stripe pattern;
2) to the dynamic image M of target
dCarry out the border and keep the class smothing filtering, the image that obtains is designated as M
D0
3) according to the ordinate y of the static demarcating line that obtains
01, y
02... y
0i... y
0mAt filtered dynamic image M
D0The corresponding surely straight line of last corresponding coordinate subscript, demarcating the pending image of finishing is M
d';
4) measure the difference of target range distance as requested, set the predeterminated voltage value V of striped pipe
p, the luminous required minimum voltage value of striped tube fluorescent screen is V in the characteristic parameter of striped pipe
d
5) a semi-transparent semi-reflecting glass column is added the magnitude of voltage that scanning voltage is imaged as the point of a series of even distances and notes this series of points, the magnitude of voltage between any 2 of these a series of dibblings and the ratio between the distance value value that obtains of averaging is designated as r;
If x is that current fringe number strong point is in pending image M
d' in horizontal ordinate, y
iFor current fringe number strong point in pending image M
d' in ordinate, the scanning voltage value of the striped pipe of then current fringe number strong point correspondence is formula (1):
V=V
p+(y
i-y
0i)r (1)
6) the striped tube fluorescent screen luminosity of establishing current fringe number strong point correspondence is L
i, L then
iComputing formula be formula (2):
L
i=Aj
i(V
i-V
d)
n (2)
V in the formula
iFor current fringe number strong point correspondence this moment the striped pipe the accelerating potential value, A with n is and the relevant parameter of striped tube fluorescent screen medium, j
iElectron stream density for current fringe number strong point correspondence;
7) if under non-deflection situation, then current fringe number strong point is dropped on the static demarcating line, and remembers that the striped tube fluorescent screen brightness at current fringe number strong point is L
0i, L then
0iShown in (3) formula:
L
0i=Aj
i(V
p-V
d)
n (3)
8) can obtain the striped tube fluorescent screen brightness value L of current fringe number strong point on the static demarcating line by above (1) (2) (3) formula
0iBe formula (4), and hypothesis n=1:
9) pending image M
d' in (x, y
i) point gray values of pixel points G
XyiExpression;
10) with the ordinate y of static demarcating line
01, y
02... y
0i... y
08For benchmark is treated processed image M respectively
d' go up the gray values of pixel points G of every stripe image
XyiMake weighted, weights are
Gray values of pixel points G after the conversion
XyiAs the formula (5):
2. the bearing calibration of a kind of striped pipe imaging laser radar intensity according to claim 1 image distortion is characterized in that: step 2) in to the dynamic image M of target
dCarrying out border maintenance class smothing filtering is neighbour's mean filter SNN, and its stencil value is 3.
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Cited By (5)
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CN106097423A (en) * | 2016-06-08 | 2016-11-09 | 河海大学 | LiDAR point cloud intensity correction method based on k neighbour |
CN107607931A (en) * | 2017-08-07 | 2018-01-19 | 哈尔滨工业大学 | A kind of laser radar echo image processing method |
CN109903344A (en) * | 2019-02-28 | 2019-06-18 | 东软睿驰汽车技术(沈阳)有限公司 | A kind of scaling method and device |
CN115639571A (en) * | 2022-10-31 | 2023-01-24 | 哈尔滨工业大学 | Streak tube imaging laser radar image coordinate correction method and device |
CN115639548A (en) * | 2022-10-31 | 2023-01-24 | 哈尔滨工业大学 | Stripe pipe imaging laser radar image coordinate correcting device |
Families Citing this family (1)
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CN102998668B (en) * | 2012-12-05 | 2014-10-08 | 中国工程物理研究院流体物理研究所 | Restoring method and device for removing imaging distortion of underwater detected target |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7164787B1 (en) * | 2003-06-26 | 2007-01-16 | The United States Of America As Represented By The Secretary Of The Navy | Enhancing two-dimensional contrast images rendered from three-dimensional streak tube imaging lidar (STIL) data |
US7203339B1 (en) * | 2003-06-26 | 2007-04-10 | The United States Of America As Represented By The Secretary Of The Navy | Enhancing two-dimensional contrast and range images rendered from three-dimensional streak tube imaging lidar (STIL) data |
CN101630009A (en) * | 2009-08-17 | 2010-01-20 | 哈尔滨工业大学 | Laser light four-dimensional imaging device based on optical fiber image convertor and multi-slit streak tube |
-
2010
- 2010-09-20 CN CN2010102870631A patent/CN101963666B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7164787B1 (en) * | 2003-06-26 | 2007-01-16 | The United States Of America As Represented By The Secretary Of The Navy | Enhancing two-dimensional contrast images rendered from three-dimensional streak tube imaging lidar (STIL) data |
US7203339B1 (en) * | 2003-06-26 | 2007-04-10 | The United States Of America As Represented By The Secretary Of The Navy | Enhancing two-dimensional contrast and range images rendered from three-dimensional streak tube imaging lidar (STIL) data |
CN101630009A (en) * | 2009-08-17 | 2010-01-20 | 哈尔滨工业大学 | Laser light four-dimensional imaging device based on optical fiber image convertor and multi-slit streak tube |
Non-Patent Citations (4)
Title |
---|
《Proc. SPIE》 20000426 Anthony D.Gleckler Multiple-Slit Streak Tube Imaging Lidar(MS-STIL) Applications 266-278 1-2 第4035卷, * |
《中国激光》 20080630 李思宁等 条纹管激光成像雷达数据处理系统分析与设计 943-946 1-2 第35卷, 第6期 * |
《中国激光》 20090831 刘金波等 多狭缝条纹管激光雷达系统设计及实验研究 1991-1994 1-2 第36卷, 第8期 * |
《中国激光》 20100228 孙剑峰等 条纹管激光成像雷达目标重构算法 510-513 1-2 第37卷, 第2期 * |
Cited By (7)
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---|---|---|---|---|
CN106097423A (en) * | 2016-06-08 | 2016-11-09 | 河海大学 | LiDAR point cloud intensity correction method based on k neighbour |
CN107607931A (en) * | 2017-08-07 | 2018-01-19 | 哈尔滨工业大学 | A kind of laser radar echo image processing method |
CN107607931B (en) * | 2017-08-07 | 2020-06-05 | 哈尔滨工业大学 | Laser radar echo image processing method |
CN109903344A (en) * | 2019-02-28 | 2019-06-18 | 东软睿驰汽车技术(沈阳)有限公司 | A kind of scaling method and device |
CN115639571A (en) * | 2022-10-31 | 2023-01-24 | 哈尔滨工业大学 | Streak tube imaging laser radar image coordinate correction method and device |
CN115639548A (en) * | 2022-10-31 | 2023-01-24 | 哈尔滨工业大学 | Stripe pipe imaging laser radar image coordinate correcting device |
CN115639571B (en) * | 2022-10-31 | 2024-08-16 | 哈尔滨工业大学 | Stripe tube imaging laser radar image coordinate correction method and device |
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