CN110082072B - Detector array target data processing method - Google Patents
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Abstract
The invention discloses a data processing method for a detector array target, which comprises the following steps: determining the corresponding relation between interpolation multiplying power and pixel point fractional part gray valueIs a step of; according to the corresponding relation between interpolation multiplying power and pixel point fractional part gray value and the formula J ═ A1A2……AK]And L ═ JT＝[A1A2……AK]TDetermining the relationship between the interpolation multiplying power and the weight coefficient matrix J and the relationship between the interpolation multiplying power and the weight coefficient matrix L; acquiring a light spot image matrix acquired by a detector array target and setting an interpolation magnification value; selecting a weight coefficient J corresponding to the interpolation multiplying power according to the corresponding relation between the interpolation multiplying power and the fractional part gray value of the pixel pointpAnd a weight coefficient Lp(ii) a And performing interpolation processing on the gray value G (i + u, j + v) of each pixel point in the light spot image matrix to obtain a gray value G' (i + u, j + v) after the interpolation processing. The detector array target data processing method provided by the invention has the characteristics of high image processing efficiency and high image processing precision.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to a method for processing detector array target data.
Background
The method is an effective means for directly obtaining important parameters such as beam quality, target energy, centroid drift and the like from laser spots, and has important significance for analyzing the transmission effect of strong laser in the atmosphere, researching and evaluating the beam control capability, aiming capability and the like of a strong laser system.
At present, methods for measuring far-field light spot parameters at home and abroad mainly comprise an array detection method and a camera shooting method. The camera shooting method adopts non-contact measurement, has the advantages of simple structure, easy acquisition of high-resolution spot images and the like, but is only suitable for real-time measurement of the relative spatial distribution of laser spots because quantitative measurement of the spatial distribution of the laser spots is difficult to realize. The array type detection method is not limited by time, has the characteristics of high precision, good real-time performance and the like, and is widely applied to the performance test of the laser. The disadvantage is that a large number of detectors are required, which leads to a drastic increase in costs. Therefore, the detectors are arranged on the target surface according to a certain distribution mode, and the phenomenon that the measured light spot image is distorted can be caused. In order to make up for the defect of uneven distribution of the detector, interpolation processing needs to be carried out on the sampled light spots to obtain relatively accurate far-field light spot parameters.
The laser power density distribution at the laser outlet is greatly different from the far-field spot power density due to the influence of factors such as turbulence, thermal halo and extinction when the laser is transmitted in the atmosphere. The array detection method is the optimal method for measuring far-field light spot parameters under the condition of effectively reducing the cost. However, in the process of measuring laser parameters of the array target, due to the influence of the distribution of the target surface detectors, the sampled light spots are all distorted, and interpolation processing needs to be performed on the light spot images obtained by sampling. In general, in order to obtain data with high real-time performance, a nearest neighbor interpolation algorithm with low complexity is generally adopted, but the nearest neighbor interpolation algorithm reduces the accuracy of measurement data to a certain extent, and the obtained light spot images have obvious intervals. The invention improves the bicubic interpolation algorithm in the nonlinear interpolation, greatly shortens the processing time of the bicubic interpolation algorithm, improves the image signal to noise ratio relative to the bicubic interpolation algorithm, can obtain smooth light spot images and improves the visual effect.
In a conventional bicubic interpolation algorithm, a bicbuic kernel function is used, as shown in formula (1), weight coefficients of a point to be interpolated and 16 adjacent pixels around an original image are calculated, and pixel values of surrounding points are accumulated according to corresponding weights to obtain a pixel value of the point to be interpolated. In general, a is-0.5.
w is the function argument and s (w) is the sampling function.
Because the method considers the position relation of 16 adjacent points around the target point and the calculation of the floating point coordinates, the calculation complexity is high, and the processing speed is necessarily reduced. Assuming that the interpolated gray-level value of the target point is G (i + u, j + v), and the original gray-level value is G (x, y), the gray-level value of the target point can be obtained from the formulas (2), (3), (4) and (5).
G(i+u,j+v)＝A*B*C (2)
A＝(S(1+v)S(v)S(1-v)S(2-v)) (3)
In the actual processing process using the bicubic interpolation algorithm, when each target point is interpolated, the weight coefficients of surrounding pixel points need to be calculated through formulas 1 to 3, which may cause the problems of low image processing efficiency and low accuracy of the bicubic interpolation algorithm.
Disclosure of Invention
The invention aims to provide a data processing method of a detector array target, which has the characteristics of high image processing efficiency and high image processing precision.
In order to achieve the purpose, the invention provides the following scheme:
a detector array target data processing method, comprising:
determining the corresponding relation between interpolation multiplying power and pixel point fractional part gray value;
according to the corresponding relation between interpolation multiplying power and pixel point fractional part gray value and the formula J ═ A1A2……AK]And L ═ JT＝[A1A2……AK]TDetermining the relationship between the interpolation multiplying power and the weight coefficient matrix J and the relationship between the interpolation multiplying power and the weight coefficient matrix L; wherein A isK＝[S(1+v)S(v)S(1-v)S(2-v)]，
S is a sampling function, a is-0.5, K is interpolation multiplying power, v is in a value range of 1/K-1, AKThe weight coefficient is corresponding to the interpolation multiplying power K;
acquiring a light spot image matrix acquired by a detector array target and setting an interpolation magnification value;
selecting a weight coefficient J corresponding to the set interpolation magnification from a weight coefficient matrix JpSelecting a weight coefficient L corresponding to the set interpolation magnification from a weight coefficient matrix Lp；
Acquiring a gray value G (i + u, j + v) of each pixel point in a light spot image matrix, wherein i and j are integer parts of the gray value, and u and v are decimal parts of the gray value;
performing interpolation processing on the gray value G (i + u, j + v) to obtain a gray value G' (i + u, j + v) after the interpolation processing; the interpolated gradation value G' (i + u, J + v) ═ Jp*B*Lp；
Wherein the content of the first and second substances,
g (x, y) is the original gray value of the pixel point.
And calculating far-field parameters of the target light spot image of the detector array according to the obtained image of the gray value after the interpolation processing.
Optionally, the method for processing the detector array target data further includes displaying the obtained image with the gray value after interpolation processing.
Optionally, the far-field parameters include a far-field total energy of the light spot, a centroid coordinate of the light spot, and a power ratio of the light spot to the surrounding power.
Optionally, the method for obtaining the total energy of the far field of the light spot comprises the following steps,
multiplying the pixel value of each pixel point by the corresponding energy correction coefficient;
and accumulating and summing the obtained multiplication results to obtain the far-field total energy of the light spot.
Optionally, the coordinates of the centroid of the light spot are obtained by any one of a gravity center method, a Hough transformation method and a space moment positioning method.
Optionally, the step of calculating the coordinates of the centroid of the light spot by using the gravity center method specifically includes: by the formula
And solving the coordinates of the centroid of the light spot, wherein X is the number of pixel points in the horizontal axis direction of the light spot image, Y is the number of pixel points in the vertical axis direction of the light spot image, G (X, Y) is the pixel value of the pixel point, X is the coordinates of the horizontal axis direction of the point, and Y is the coordinates of the vertical axis direction of the point.
Optionally, the method for calculating the power ratio around the spot includes: taking the spot centroid coordinate as an origin, and respectively taking r, 2r, … … and nr as radiuses to make a circle to obtain a plurality of spot circular rings, wherein n is an integer; accumulating and summing the light spot energy in each light spot circular ring to obtain the light spot energy sum of a plurality of light spot circular rings; and dividing the obtained light spot energy sum by the total light spot energy on the target surface of the detector array to obtain the light spot surrounding power ratio.
Optionally, the set interpolation magnification value is 16.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects: the detector array target data processing method provided by the invention comprises the steps of determining the corresponding relation between interpolation multiplying power and pixel point fractional part gray value; according to the corresponding relation between interpolation multiplying power and pixel point fractional part gray value and the formula J ═ A1A2……AK]And L ═ JT ═ A1A2……AK] TAnd determining the relationship between the interpolation multiplying power and the weight coefficient matrix J and the relationship between the interpolation multiplying power and the weight coefficient matrix L. In the process of processing the detector array target data, the interpolation multiplying power is set according to requirements, and the corresponding weight coefficient can be called according to the set interpolation multiplying power to complete interpolation processing. Therefore, the calculation process that the weight coefficient corresponding to each target point needs to be solved in the interpolation processing process is avoided, and the processing efficiency of the image is improved. And moreover, the combination of the images is carried out according to the gray value result of the pixel points after the interpolation processing, so that the accuracy of the image processing can be further improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flowchart illustrating a method for processing target data of a detector array according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a data processing method of a detector array target, which has the characteristics of high image processing efficiency and high image processing precision.
The present invention will be described in further detail with reference to specific embodiments in order to make the above objects, features and advantages more comprehensible.
Fig. 1 is a flowchart of a method for processing target data of a detector array according to an embodiment of the present invention, and as shown in fig. 1, the method for processing target data of a detector array includes:
s1, determining the corresponding relation between the interpolation multiplying power K and the pixel point fractional part gray value v, wherein the value range of v is 1/K-1;
s2, according to the corresponding relation between the interpolation multiplying power and the gray value of the fractional part of the pixel point and the formula J ═ A1A2……AK]And L ═ JT＝[A1A2……AK]TDetermining the relationship between the interpolation multiplying power and the weight coefficient matrix J and the relationship between the interpolation multiplying power and the weight coefficient matrix L; wherein A isK＝[S(1+v)S(v)S(1-v)S(2-v)]，
S (—) is the sampling function, a is-0.5, K is the interpolation factor, AKThe weight coefficient is corresponding to the interpolation multiplying power K; due to the difference of the interpolation multiplying factor set value K, the gray value fractional parts u and v correspondingly have K different values, so that the obtained weight coefficient AKIs also continuously circulated, and each circulation is AK＝[0100]And (6) ending. In addition, the weight coefficient matrix J is substantially a weight coefficient matrix of surrounding points in the abscissa direction of the target data image of the detector array to be processed. The weight coefficient matrix L is substantially the weight coefficient matrix of surrounding points in the ordinate direction of the target data image of the detector array to be processed.
S3, acquiring a light spot image matrix M x N acquired by the detector array target and setting an interpolation magnification, wherein the interpolation magnification is set manually according to actual requirements;
s4, selecting a weight coefficient J corresponding to the set interpolation multiplying factor from the weight coefficient matrix JpSelecting a weight coefficient L corresponding to the set interpolation magnification from a weight coefficient matrix Lp；
S5, obtaining a gray value G (i + u, j + v) of each pixel point in the light spot image matrix, wherein i and j are integer parts of the gray value, and u and v are decimal parts of the gray value; because the matrix of the light spot image collected by the original detector array target is M x N and the interpolation multiplying power is 16, the value range of i is 1-M x 16, the value range of j is 1-N x 16, the value range of u is 1/16-1, and the value range of v is 1/16-1. Taking the first point in the upper left corner as an example, when K is 16, i and j both have a value of 1, and u and v both have a value of 1/16.
S6, carrying out interpolation processing on the gray value G (i + u, j + v) to obtain a gray value G' (i + u, j + v) after the interpolation processing; the interpolated gradation value G' (i + u, J + v) ═ Jp*B*Lp；
Wherein the content of the first and second substances,
g (x, y) is likeThe original gray value of the pixel.
And S7, obtaining far-field parameters of the target light spot image of the detector array according to the obtained image of the gray value after interpolation processing. And simultaneously displaying the obtained image of the gray value after the interpolation processing on the PC end.
The far-field parameters comprise the total far-field energy of the light spot, the centroid coordinate of the light spot and the surrounding power ratio of the light spot.
The method for calculating the total energy of the far field of the light spot comprises the following steps,
multiplying the pixel value of each pixel point by the corresponding energy correction coefficient;
and accumulating and summing the obtained multiplication results to obtain the far-field total energy of the light spot.
And calculating the coordinates of the centroid of the light spot by adopting any one of a gravity center method, a Hough transformation method and a space moment positioning method.
Wherein, adopt the gravity center method to ask facula barycenter coordinate specifically to include: by the formula
And solving a centroid coordinate of the light spot, wherein X is the number of pixel points in the transverse axis direction of the light spot image, Y is the number of pixel points in the longitudinal axis direction of the light spot image, G (X, Y) is the pixel value of the pixel point, X is the coordinate in the transverse axis direction of the point, and Y is the coordinate in the longitudinal axis direction of the point.
The method for calculating the power ratio of the surrounding light spots comprises the following steps: taking the coordinates of the centroid of the light spot as an origin, and taking r, 2r, … … and nr as radiuses to make a circle respectively to obtain a plurality of light spot circular rings, wherein n is an integer; accumulating and summing the light spot energy in each light spot ring to obtain the light spot energy sum of a plurality of light spot rings; and dividing the obtained light spot energy sum by the total light spot energy on the target surface of the detector array to obtain the light spot surrounding power ratio.
The following further explains the method for processing the target data of the detector array provided by the invention by comparing the calculation results, and can improve the image processing efficiency and the image processing precision.
The method for processing the detector array target data disclosed by the invention is implanted into an InterCorei5 with the version 2014 and the CPU 2.30GHz and a Matlab platform with the internal memory 8GB by a means of programming, and except for an improved bicubic interpolation algorithm, other algorithms are default parameters.
Inputting the set interpolation magnification 16 into the system to obtain a corresponding calculation result as follows:
table 1 shows that the interpolation magnification of the spot image by different interpolation algorithms is 16 times, and the result of image calculation is compared, and it can be seen from table 1 that the improved algorithm is significantly improved in processing time, the spot centroid error is reduced, and the signal-to-noise ratio is improved to a certain extent.
TABLE 1 comparison of results of different interpolation algorithms
| Interpolation algorithm | Treatment time(s) | Signal-to-noise ratio (SNR) | Error of spot centroid |
| Bicubic interpolation algorithm | 21.495 | 18.5347 | 1.46％ |
| The interpolation algorithm provided by the invention | 9.606 | 18.5348 | 0.68％ |
According to the inventionIn the specific embodiment, the invention discloses the following technical effects: the detector array target data processing method provided by the invention comprises the steps of determining the corresponding relation between interpolation multiplying power and pixel point fractional part gray value; according to the corresponding relation between interpolation multiplying power and pixel point fractional part gray value and the formula J ═ A1A2……AK]And L ═ JT ═ A1A2……AK]TAnd determining the relationship between the interpolation multiplying power and the weight coefficient matrix J and the relationship between the interpolation multiplying power and the weight coefficient matrix L. In the process of processing the detector array target data, the interpolation multiplying power is set according to requirements, and the corresponding weight coefficient can be called according to the set interpolation multiplying power to complete interpolation processing. Therefore, the process of repeatedly calling the formula (1) to obtain the corresponding weight coefficient of each target point in the process of interpolation processing is avoided, and the processing efficiency of the image is improved. And moreover, the combination of the images is carried out according to the gray value result of the pixel points after the interpolation processing, so that the accuracy of the image processing can be further improved.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (7)
1. A method for processing target data for a detector array, comprising:
determining the corresponding relation between interpolation multiplying power and pixel point fractional part gray value;
according to the corresponding relation between interpolation multiplying power and pixel point fractional part gray value and the formula J ═ A1A2……AK]And L ═ JT＝[A1A2……AK]TDetermining the relationship between the interpolation multiplying power and the weight coefficient matrix J and the relationship between the interpolation multiplying power and the weight coefficient matrix L; wherein A isK＝[S(1+v)S(v)S(1-v)S(2-v)]，
S is a sampling function, a is-0.5, K is interpolation multiplying power, v is in a value range of 1/K-1, AKThe weight coefficient is corresponding to the interpolation multiplying power K;
acquiring a light spot image matrix acquired by a detector array target and setting interpolation magnification; the value of the set interpolation magnification is 16;
selecting a weight coefficient J corresponding to the set interpolation magnification from a weight coefficient matrix JpSelecting a weight coefficient L corresponding to the set interpolation magnification from a weight coefficient matrix Lp；
Acquiring a gray value G (i + u, j + v) of each pixel point in a light spot image matrix, wherein i and j are integer parts of the gray value, and u and v are decimal parts of the gray value;
performing interpolation processing on the gray value G (i + u, j + v) to obtain a gray value G' (i + u, j + v) after the interpolation processing; the interpolated gradation value G' (i + u, J + v) ═ Jp*B*Lp；
Wherein the content of the first and second substances,
g (x, y) is the original gray value of the pixel point;
and calculating far-field parameters of the target light spot image of the detector array according to the obtained image of the gray value after the interpolation processing.
2. The method of claim 1, including displaying the interpolated gray scale value image.
3. The detector array target data processing method of claim 2, wherein the far field parameters comprise spot far field total energy, spot centroid coordinates and spot ring power ratio.
4. The method for processing the target data of the detector array according to claim 3, wherein the method for obtaining the total far-field energy of the light spot comprises,
multiplying the pixel value of each pixel point by the corresponding energy correction coefficient;
and accumulating and summing the obtained multiplication results to obtain the far-field total energy of the light spot.
5. The method as claimed in claim 3, wherein the coordinates of the centroid of the light spot are obtained by using any one of a barycenter method, a Hough transform method and a space moment location method.
6. The method as claimed in claim 5, wherein the determining the coordinates of the centroid of the light spot by using the centroid method specifically comprises: by the formula
And solving the coordinates of the centroid of the light spot, wherein X is the number of pixel points in the horizontal axis direction of the light spot image, Y is the number of pixel points in the vertical axis direction of the light spot image, G (X, Y) is the pixel value of the pixel point, X is the coordinates of the horizontal axis direction of the point, and Y is the coordinates of the vertical axis direction of the point.
7. The method for processing target data of a detector array according to claim 4, wherein the step of calculating the power ratio of the beam spot circumference comprises: taking the spot centroid coordinate as an origin, and respectively taking r, 2r, … … and nr as radiuses to make a circle to obtain a plurality of spot circular rings, wherein n is an integer; accumulating and summing the light spot energy in each light spot circular ring to obtain the light spot energy sum of a plurality of light spot circular rings; and dividing the obtained light spot energy sum by the total light spot energy on the target surface of the detector array to obtain the light spot surrounding power ratio.
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