PHOTOELECTRIC DETECTION AND ACQUISITION SYSTEM AND CENTROID DETECTION METHOD BASED ON SINGLE-PIXEL DETECTOR

Abstract

A centroid detection method based on a single-pixel detector, including: S1: establishing a photoelectric detection and acquisition system, and generating three two-dimensional (2D) array matrices A, B and C; S2: generating, by letting element value of each column in the matrix A be the corresponding serial number of the column, element value of each row in the matrix B be the corresponding serial number of the row, and element value of the matrix C be 1, 2D modulation information having distribution of the matrices A, B and C; S3: modulating illumination light according to the mode of the 2D modulation information and projecting the illumination light to a target object or modulating, according to the mode of the 2D modulation information, an image formed by the target object; and S4: acquiring intensity value of target reflected light to obtain position parameter of the target centroid.

Claims

1. A photoelectric detection and acquisition system, comprising: a light generation component, a digital micromirror device (DMD), a lens, a photodetector that are arranged along a light path and a data acquisition unit that is coupled to the photodetector, wherein the light generation component generates three two-dimensional (2D) array matrices A, B and C.

2. A centroid detection method based on a single-pixel detector, comprising the following steps: S1: establishing a photoelectric detection and acquisition system, wherein the photoelectric detection and acquisition system is the photoelectric detection and acquisition system according to claim 1; and the light generation component in the photoelectric detection and acquisition system generates three two-dimensional (2D) array matrices A, B and C; S2: generating, by letting element value of each column in the matrix A be the corresponding serial number of the column, element value of each row in the matrix B be the corresponding serial number of the row, and element value of the matrix C be 1, 2D modulation information having distribution of the matrices A, B and C; S3: modulating illumination light according to the mode of the 2D modulation information and projecting the illumination light to a target object or modulating, according to the mode of the 2D modulation information, an image formed by the target object; and S4: acquiring intensity value of target reflected light with the data acquisition unit in the photoelectric detection and acquisition system, and substituting the intensity value into a centroid solving algorithm to obtain position parameter of the target centroid.

3. (canceled)

4. The centroid detection method based on a single-pixel detector according to claim 2, wherein a light beam of the light generation component is projected to the DMD, and light modulated by the DMD is projected to the target object through the lens; and a light signal reflected by the target object is converted by the photodetector into an electrical signal, and the electrical signal is sent to the data acquisition unit.

5. The centroid detection method based on a single-pixel detector according to claim 2, wherein a light beam of the light generation component is projected to the target object, and light reflected by the target object is projected to the DMD through the lens; the DMD modulates received light to generate a light signal and transmits the light signal to the photodetector; and the photodetector converts the light signal into an electrical signal and sends the electrical signal to the data acquisition unit.

6. The centroid detection method based on a single-pixel detector according to claim 4, wherein step S2 is implemented by letting the element values of the matrices A, B and C in the 2D modulation information meet the following equations respectively: S.sub.1(x,y)=x, S.sub.2(x,y)=y and S.sub.3(x,y)=1, wherein a function S(x,y) represents an element value corresponding to a coordinate (x,y) in a 2D matrix.

7. The centroid detection method based on a single-pixel detector according to claim 6, wherein step S4 specifically comprises the following steps: S41: acquiring intensity value of reflected light of the target object with the data acquisition unit from the following equations: $I_1=\underset{x,y}{.Math.}f\left(x,y\right).Math.S_1\left(x,y\right),I_2=\underset{x,y}{.Math.}f\left(x,y\right).Math.S_2\left(x,y\right)\mathrm{and}{I}_3=\underset{x,y}{.Math.}f\left(x,y\right).Math.S_3\left(x,y\right),$ wherein f(x,y) is 2D distribution function of the target object or the image formed by the target object, and each of I.sub.1, I.sub.2 and I.sub.3 is the intensity value acquired with the data acquisition unit; and S42: substituting the intensity value into the centroid solving algorithm to obtain an equation on the centroid position of the target object: x.sub.c=I.sub.1/I.sub.3 and y.sub.c=I.sub.2/I.sub.3, wherein (x.sub.c,y.sub.c) is the position coordinate of the target centroid.

8. The centroid detection method based on a single-pixel detector according to claim 5, wherein step S2 is implemented by letting the element values of the matrixes A, B and C in the 2D modulation information meet the following equations respectively: S.sub.1(x,y)=x, S.sub.2(x,y)=y and S.sub.3(x,y)=1, wherein a function S(x,y) represents an element value corresponding to a coordinate (x,y) in a 2D matrix.

9. The centroid detection method based on a single-pixel detector according to claim 8, wherein step S4 specifically comprises the following steps: S41: acquiring intensity value of reflected light of the target object with the data acquisition unit from the following equations: $I_1=\underset{x,y}{.Math.}f\left(x,y\right).Math.S_1\left(x,y\right),I_2=\underset{x,y}{.Math.}f\left(x,y\right).Math.S_2\left(x,y\right)\mathrm{and}{I}_3=\underset{x,y}{.Math.}f\left(x,y\right).Math.S_3\left(x,y\right),$ wherein f(x,y) is 2D distribution function of the target object or the image formed by the target object, and each of I.sub.1, I.sub.2 and I.sub.3 is the intensity value acquired with the data acquisition unit; and S42: substituting the intensity value into the centroid solving algorithm to obtain an equation on the centroid position of the target object: x.sub.c=I.sub.1/I.sub.3 and y.sub.c=I.sub.2/I.sub.3, wherein (x.sub.c,y.sub.c) is the position coordinate of the target centroid.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0021] To describe the technical solutions in the embodiments of the present disclosure or in the current technology more clearly, the accompanying drawings required for the embodiments are briefly described below. Apparently, the accompanying drawings in the following description show merely some embodiments of the present disclosure, and a person of ordinary skill in the art may still derive other accompanying drawings from these accompanying drawings without creative efforts.

[0022] FIG. 1 shows a flow chart for detecting a centroid with SPI.

[0023] FIG. 2 shows a 2D projection pattern generated according to a specific implementation of the present disclosure, where, the (a) in FIG. 2 is a 2D projection pattern of a matrix A; the (b) in FIG. 2 is a 2D projection pattern of a matrix B; and the (c) in FIG. 2 is a 2D projection pattern of a matrix C.

[0024] FIG. 3 shows a simulation result of a target centroid estimation error (CEE) detected with SPI, where, (a) in FIG. 3 is an original target image; (b) in FIG. 3 is a simulation result of a target CEE at an SNR of 0.5; (c) in FIG. 3 is a simulation result of a target CEE at an SNR of 1; (d) in FIG. 3 is a simulation result of a target CEE at an SNR of 1.5; (e) in FIG. 3 is a simulation result of a target CEE at an SNR of 2: (f) in FIG. 3 is a simulation result of a target CEE at an SNR of 3; (g) in FIG. 3 is a simulation result of a target CEE at an SNR of 5; (h) in FIG. 3 is a simulation result of a target CEE at an SNR of 7; (i) in FIG. 3 is a simulation result of a target CEE at an SNR of 9; and (j) in FIG. 3 is a simulation result of a target CEE at an SNR of 10.

[0025] FIG. 4 shows a simulation curve of a target CEE detected with SPI.

DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The technical solutions of the embodiments of the present disclosure are clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. Apparently, the described embodiments are merely a part rather than all of the embodiments of the present disclosure. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present disclosure without creative efforts shall fall within the protection scope of the present disclosure.

[0027] An objective of the present disclosure is to provide a photoelectric detection and acquisition system and a centroid detection method based on a single-pixel detector, to detect a target centroid with SPI.

[0028] To make the above-mentioned objectives, features, and advantages of the present disclosure clearer and more comprehensible, the present disclosure will be further described in detail below with reference to the accompanying drawings and the specific implementations.

[0029] A photoelectric detection and acquisition system provided by the present disclosure includes: a light generation component, a DMD, a lens, a photodetector that are arranged along a light path and a data acquisition unit, where

[0030] the light generation component generates three 2D array matrices A, B and C.

[0031] A centroid detection method based on a single-pixel detector, which is implemented based on the photoelectric detection and acquisition system, includes the following steps as shown in FIG. 1:

[0032] S1: Establish the photoelectric detection and acquisition system, where the light generation component in the photoelectric detection and acquisition system generates three 2D array matrices A, B and C.

[0033] There are two solutions for the photoelectric detection and acquisition system:

[0034] First Solution:

[0035] The photoelectric detection and acquisition system includes the light generation component, the DMD, the lens, the photodetector and the data acquisition unit, where a light beam of the light generation component is projected to the DMD, light modulated by the DMD is projected to the target object through the lens, a light signal reflected by the target object is converted by the photodetector into an electrical signal, and the electrical signal is sent to the data acquisition unit.

[0036] Second Solution:

[0037] The photoelectric detection and acquisition system includes the light generation component, the DMD, the lens, the photodetector and the data acquisition unit, where a light beam of the light generation component is projected to the target object, light reflected by the target object is projected to the DMD through the lens, a light signal modulated by the DMD is converted by the photodetector into an electrical signal, and the electrical signal is sent to the data acquisition unit.

[0038] S2: Generate, by letting element value of each column in the matrix A be the corresponding serial number of the column, element value of each row in the matrix B be the corresponding serial number of the row, and element value of the matrix C be 1, 2D modulation information having distribution of the matrices A, B and C, where three 2D projection patterns are as shown in (a), (b) and (c) in FIG. 2. Specifically, let the element values of the 2D matrices A, B and C meet the following equations respectively: S.sub.1(x,y)=x, S.sub.2(x,y)=y and S.sub.3(x,y)=1, where a function S(x,y) represents an element value corresponding to a coordinate (x,y) in a 2D matrix.

[0039] S3: Modulate illumination light according to the mode of the 2D modulation information and project the illumination light to a target object when the first solution of the photoelectric detection and acquisition system is used; or modulate, according to the mode of the 2D modulation information, an image formed by the target object when the second solution of the photoelectric detection and acquisition system is used.

[0040] S4: Acquire intensity value of target reflected light with the data acquisition unit in the photoelectric detection and acquisition system, and substitute the intensity value into a centroid solving algorithm to obtain the position parameter of a target centroid. Specifically, there are the following steps:

[0041] S41: Acquire intensity value of reflected light of the target object with the data acquisition unit from the following equations:

[00002]$I_1=\underset{x,y}{.Math.}f\left(x,y\right).Math.S_1\left(x,y\right),I_2=\underset{x,y}{.Math.}f\left(x,y\right).Math.S_2\left(x,y\right)\mathrm{and}{I}_3=\underset{x,y}{.Math.}f\left(x,y\right).Math.S_3\left(x,y\right),$

where f(x,y) is 2D distribution function of the target object, and each of I.sub.1, I.sub.2 and I.sub.3 is the intensity value acquired with the photoelectric detection and acquisition system; and

[0042] S42: Substitute the intensity value into the centroid solving algorithm to obtain an equation on the centroid position of the target object: x.sub.c=I.sub.1/I.sub.3, and y.sub.c=I.sub.2/I.sub.3, where (x.sub.c,y.sub.c) is the position coordinate of the target centroid.

[0043] In order to obtain the position parameter of the target centroid, the target centroid is calculated as follows:

[00003]$x_c=\frac{I_1}{I_3}=\frac{\underset{x,y}{.Math.}f\left(x,y\right)x}{\underset{x,y}{.Math.}f\left(x,y\right)},\mathrm{and}{y}_c=\frac{I_2}{I_3}=\frac{\underset{x,y}{.Math.}f\left(x,y\right)y}{\underset{x,y}{.Math.}f\left(x,y\right)},$

where, (x.sub.c,y.sub.c) is the position coordinate of the centroid of the target object.

[0044] As can be seen from the above calculation process, the centroid of the target object can be directly obtained by the SPI, without pre-establishing the image of the target object.

[0045] In an implementation of the present disclosure, with a target image of M×N as an example, the relation between a CEE and a peak SNR (PSNR) is used to evaluate the accuracy of the method provided by the present disclosure. The CT and the PSNR are respectively calculated with the following equations:

[00004]$\mathrm{CEE}=\sqrt{{\left(x_c-x_0\right)}^2+{\left(y_c-y_0\right)}^2}\mathrm{PSNR}=10{\log }_{10}\left(\frac{{\mathrm{MAX}}^2}{\mathrm{MSE}}\right)\mathrm{MSE}=\frac{1}{\mathrm{MN}}\underset{i=1}{\overset{M}{.Math.}}\underset{j=1}{\overset{N}{.Math.}}{\left[f\left(i,j\right)-K\left(i,j\right)\right]}^2$

[0046] where, CEE is the centroid estimation error, MAX is a maximum grayscale value in the target image, MSE is a mean square error, and x.sub.0 and y.sub.0 are true centroid position of the object in simulation. CEEs at different SNRs are shown in (a)-(j) in FIG. 3. A linear graph in FIG. 4 is obtained according to multiple sets of data. As can be seen from FIG. 4, the CEE can still be stabilized within one pixel even at a low SNR in the SPI; and while the PSNR increases, the CEE decreases slowly to improve the accuracy.

[0047] Each embodiment of the present specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts between the embodiments may refer to each other. Since the system disclosed in the embodiments corresponds to the method disclosed in the embodiments, the description is relatively simple, and reference can be made to the method description.

[0048] In this specification, several specific embodiments are used for illustration of the principles and implementations of the present disclosure. The description of the foregoing embodiments is used to help illustrate the method of the present disclosure and the core ideas thereof. In addition, those of ordinary skill in the art can make various modifications in terms of specific implementations and the scope of application in accordance with the ideas of the present disclosure. In conclusion, the content of this specification shall not be construed as a limitation to the present disclosure.