Field of view testing method, device and system based on infrared imaging system

Abstract

The present invention discloses a method, device and system for testing the field of view based on an infrared imaging system. The method includes: obtaining an initial response signal when an aperture is not set, setting an aperture and adjusting the aperture distance and spacing value to obtain multiple groups of detection signals, if only the test result of one detection direction needs to be obtained, then analyzing to obtain the spatial angle of each group of initial detection parameters, converting the detection signal into a two-dimensional grayscale image and performing image processing to obtain image pixel parameters, and linearly fitting the spatial angles and image pixel parameters of the multiple groups of detection signals to obtain the field of view test results. The above-mentioned field of view test method converts the detection signal into a two-dimensional grayscale image and performs image processing. By linearly fitting the spatial angles and image pixel parameters of the multiple groups of detection signals, it can effectively avoid the influence of the non-uniformity of infrared radiation from the central area and edge of the black body surface on the test results, thereby improving the reliability of the field of view test of the infrared imaging system.

Description

Technical Field

[0001] The present invention relates to the field of intelligent testing technology, and in particular to a field of view testing method, device and system based on an infrared imaging system. Background Art

[0002] The infrared imaging system in the prior art can perform infrared imaging detection on the field of view within a certain range. To ensure the reliability of the infrared imaging system, its field of view can be tested before use. In the prior art, the horizontal and vertical distances between the detector and the black body are usually changed, and the spatial angle of the field of view is calculated by a formula; however, the existing imaging system does not consider the non-uniformity of infrared radiation from the center area and edge of the black body surface, resulting in poor reliability of the field of view test. Therefore, the prior art method has the problem of low test reliability when performing field of view testing on the infrared imaging system. Summary of the invention

[0003] The embodiments of the present invention provide a method, device and system for testing a field of view based on an infrared imaging system, aiming to solve the problem of low test reliability when performing a field of view test on an infrared imaging system in the prior art methods.

[0004] In a first aspect, an embodiment of the present invention provides a field of view test method based on an infrared imaging system, the method is applied in a data processing terminal, the field of view test system includes a black body, an aperture, a lens and a detector arranged in sequence, the data processing terminal is communicatively connected with the detector, wherein the method includes:

[0005] Acquiring an initial response signal detected by the detector when no aperture is set;

[0006] The aperture and spacing value of the aperture are adjusted according to the initial response signal, and a plurality of detection signals detected by the detector are simultaneously acquired; the spacing value is the spacing between the aperture and the detector;

[0007] Determine whether it is necessary to obtain the test result of only one detection direction;

[0008] If yes, then analyze each group of detection signals and the corresponding initial detection parameters respectively according to the preset spatial angle analysis rules to obtain the spatial angle corresponding to each group of initial detection parameters; the initial detection parameters include the aperture and spacing value of the diaphragm;

[0009] Convert each group of detection signals into a corresponding two-dimensional grayscale image and perform image processing according to a preset image processing algorithm to obtain image pixel parameters corresponding to each group of detection signals;

[0010] Linear fitting is performed on multiple sets of spatial angles and image pixel parameters of the detection signals to obtain corresponding field of view test results.

[0011] In a second aspect, an embodiment of the present invention further provides a field of view test device based on an infrared imaging system, the device is configured in a data processing terminal, the field of view test system includes a black body, an aperture, a lens and a detector arranged in sequence, the data processing terminal is communicatively connected with the detector, wherein the device is used to perform the field of view test method based on the infrared imaging system as described in the first aspect above, the device includes:

[0012] An initial response signal acquisition unit, used to acquire an initial response signal detected by the detector when no aperture is set;

[0013] A detection signal acquisition unit, used for adjusting the aperture and spacing value of the diaphragm according to the initial response signal, and simultaneously acquiring a plurality of groups of detection signals detected by the detector; the spacing value is the spacing between the diaphragm and the detector;

[0014] A judging unit, used to judge whether it is necessary to obtain the test result of only one detection direction;

[0015] A spatial angle analysis unit, for respectively analyzing each group of detection signals and the corresponding initial detection parameters according to a preset spatial angle analysis rule, so as to obtain the spatial angle corresponding to each group of initial detection parameters; the initial detection parameters include the aperture and spacing value of the diaphragm;

[0016] An image pixel parameter acquisition unit, used to convert each group of detection signals into a corresponding two-dimensional grayscale image and perform image processing according to a preset image processing algorithm to obtain image pixel parameters corresponding to each group of detection signals;

[0017] The test result acquisition unit is used to perform linear fitting on the spatial angles and image pixel parameters of the multiple groups of detection signals to obtain corresponding field of view test results.

[0018] In a third aspect, an embodiment of the present invention further provides a field of view test system based on an infrared imaging system, wherein the system includes a data processing terminal, a black body, an aperture, a lens, and a detector;

[0019] The black body, aperture, lens and detector are arranged in sequence on the guide rail through a mounting bracket, and a scale for measuring the distance value is provided on the guide rail;

[0020] The data processing terminal is in communication connection with the detector, and the data processing terminal includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus;

[0021] Memory, used to store computer programs;

[0022] When the processor executes the computer program stored in the memory, the steps of the field of view testing method based on the infrared imaging system as described in the first aspect above are implemented.

[0023] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of the field of view testing method based on the infrared imaging system as described in the first aspect above are implemented.

[0024] The embodiment of the present invention provides a method, device and system for testing the field of view based on an infrared imaging system. The method includes: obtaining an initial response signal when an aperture is not set, setting an aperture and adjusting the aperture distance and spacing value to obtain multiple groups of detection signals, if only the test result of one detection direction needs to be obtained, then analyzing to obtain the spatial angle of each group of initial detection parameters, converting the detection signal into a two-dimensional grayscale image and performing image processing to obtain image pixel parameters, and linearly fitting the spatial angles and image pixel parameters of the multiple groups of detection signals to obtain the field of view test results. The above-mentioned field of view test method converts the detection signal into a two-dimensional grayscale image and performs image processing. By linearly fitting the spatial angles and image pixel parameters of the multiple groups of detection signals, it can effectively avoid the influence of the non-uniformity of infrared radiation from the center area and edge of the black body surface on the test results, thereby improving the reliability of the field of view test of the infrared imaging system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0026] Figure 1 A method flow chart of a field of view testing method based on an infrared imaging system provided by an embodiment of the present invention;

[0027] Figure 2 A structural diagram of a field of view test system based on an infrared imaging system provided by an embodiment of the present invention;

[0028] Figure 3 An application effect diagram of the field of view testing method based on the infrared imaging system provided by an embodiment of the present invention;

[0029] Figure 4 Another application effect diagram of the field of view testing method based on the infrared imaging system provided by an embodiment of the present invention;

[0030] Figure 5Another application effect diagram of the field of view testing method based on the infrared imaging system provided by an embodiment of the present invention;

[0031] Figure 6 A schematic block diagram of a field of view testing device based on an infrared imaging system provided by an embodiment of the present invention;

[0032] Figure 7 It is a schematic block diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0035] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0036] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0037] See also Figure 1 As shown in the figure, the embodiment of the present invention provides a field of view test method based on an infrared imaging system. The method is applied to a data processing terminal. The method is executed by an application installed in the data processing terminal. The data processing terminal can be a laptop, desktop computer, tablet computer or mobile phone. The data processing terminal can also be a control board that realizes data processing and instruction information transmission and reception, such as a PLC (Programmable Logic Controller) circuit board carrying an MCU chip. Figure 2As shown, the visual field test system also includes a black body 11, an aperture 12, a lens 13 and a detector 14 arranged in sequence. The data processing terminal 20 is connected to the detector 14 for communication. The lens 13 and the detector 14 are packaged into a detection module 10 for infrared radiation detection. The black body 11 is used as an infrared radiation source and has a planar structure with a certain size. The aperture 12 is provided with a through hole, which can be adjusted by rotating a knob to adjust the aperture of the through hole, or by sending an adjustment instruction to the automatic control device through the data processing terminal 20 to adjust the aperture of the through hole. Figure 1 As shown, the method includes steps S110 to S160.

[0038] S110, acquiring an initial response signal detected by the detector when no aperture is set.

[0039] When the aperture is not set, adjust the distance between the detector and the black body so that the center area of ​​the black body (about 75% of the diameter range) fills the detector field of view, and collect the response data obtained by the detector sensing infrared radiation to obtain the initial response signal. The initial response signal includes the response signal strength of the horizontal edge and the response signal strength of the vertical edge. If only the test result of one detection direction needs to be obtained, the response signal strength of the horizontal edge or the response signal strength of the vertical edge can be recorded as V 0 If you only need to obtain the test results of two detection directions at the same time, you can record the response signal strength V of the horizontal edge separately. h0 , vertical edge response signal strength V v0 .

[0040] S120, adjusting the aperture and spacing value of the diaphragm according to the initial response signal, and simultaneously acquiring multiple groups of detection signals detected by the detector; the spacing value is the spacing between the diaphragm and the detector.

[0041] Further, such as Figure 3 As shown, add an aperture between the black body and the detection module, move the aperture horizontally, and the distance between the aperture and the detector in the detection module is L 1 , adjust the aperture of the diaphragm so that the image edge pixel response signal in the current detection signal is V 0 / 2 (assuming that only the test results of one detection direction need to be obtained; if the test results of two detection directions need to be obtained at the same time, two tests are required to obtain the same result as V h0 / 2 and V v0 / 2 corresponding to two sets of detection signals and two sets of initial detection parameters), the aperture of the measuring aperture is recorded as D 1 By recording the obtained detection signal and a corresponding set of initial detection parameters, a field of view detection can be completed.

[0042] Further movement makes the distance between the aperture and the detector in the detection module L 2 , and adjust the aperture of the diaphragm at the same time, so that the image edge pixel response signal in the current detection signal is V 0 / 2, the aperture of the measuring diaphragm is recorded as D 2 Move the diaphragm again and adjust the aperture, repeat the above steps to detect the field of view and record the spacing value L 3 and aperture D 3 Specific examples: Figure 3 In other embodiments, more field of view detections may be performed, and more than three groups of detection signals and initial detection parameters may be obtained.

[0043] S130: Determine whether it is necessary to obtain the test result of only one detection direction.

[0044] Furthermore, it can be determined whether it is necessary to obtain the test result of only one detection direction; if so, the response signal strength of the horizontal edge or the response signal strength of the vertical edge in the above-mentioned initial response signal (and detection signal) can be directly taken for a field of view test to obtain the corresponding field of view test result.

[0045] In a more specific embodiment, after step S130, the following steps are also included: if not, then the horizontal detection values, vertical detection values ​​and corresponding initial detection parameters contained in each group of detection signals are respectively analyzed according to a preset spatial angle analysis rule to obtain the horizontal spatial angle and vertical spatial angle corresponding to each group of initial detection parameters; each group of detection signals is converted into a corresponding two-dimensional grayscale image and image processing is performed according to a preset image processing algorithm to obtain the image horizontal pixel parameters and image vertical pixel parameters corresponding to each group of detection signals; the horizontal spatial angles and image horizontal pixel parameters of the multiple groups of detection signals are linearly fitted to obtain the corresponding field of view horizontal test results; the vertical spatial angles and image vertical pixel parameters of the multiple groups of detection signals are linearly fitted to obtain the corresponding field of view vertical test results; the horizontal field of view test results and the field of view vertical test results are combined into the corresponding field of view test results.

[0046] If you need to obtain test results in two detection directions, you need to take the response signal strength of the horizontal edge and the response signal strength of the vertical edge in the initial response signal (and the detection signal) for field of view test respectively, and combine the two sets of test results in the horizontal and vertical directions as the final field of view test results.

[0047] The process of testing the horizontal edge response signal strength and the vertical edge response signal strength is the same as the process of testing one set of response signal strengths, except that the test value (V 0 Replace with V h0 / 2 or V v0 / 2) changes. The following is an explanation of the process of testing a set of response signal strengths.

[0048] S140, if yes, then analyze each group of detection signals and the corresponding initial detection parameters respectively according to the preset spatial angle analysis rules to obtain the spatial angle corresponding to each group of initial detection parameters; the initial detection parameters include the aperture and spacing value of the diaphragm.

[0049] According to the preset spatial angle analysis rules, each group of detection signals and the initial detection parameters corresponding to each group of detection signals are analyzed respectively. Since one group of detection signals corresponds to one group of initial detection parameters, the two parts of data can be comprehensively analyzed to obtain the spatial angles corresponding to each group of initial detection parameters. The number of spatial angles obtained is equal to the number of initial detection parameters.

[0050] In a more specific embodiment, step S140 specifically includes the following sub-steps: inputting the initial detection parameters of each group of detection signals into the analytical formula in the spatial angle analytical rule respectively, so as to obtain the spatial angles corresponding to each group of initial detection parameters respectively.

[0051] Specifically, the initial detection parameters of each group of detection signals can be input into the analytical formula respectively, and the analytical formula can be expressed by formula (1):

[0052] (1);

[0053] Where n is the number of groups of initial detection parameters, that is, n=1, 2, 3…; θ n is the nth group of space angles obtained analytically, D n is the aperture in the nth set of initial detection parameters, L n is the spacing value in the nth set of initial detection parameters.

[0054] S150, converting each group of detection signals into a corresponding two-dimensional grayscale image and performing image processing according to a preset image processing algorithm to obtain image pixel parameters corresponding to each group of detection signals.

[0055] Furthermore, each group of detection signals is converted into a corresponding two-dimensional grayscale image. The detection signal contains detection intensity values ​​corresponding to multiple pixel points. Different detection intensity values ​​can be converted into different grayscale colors. The larger the detection intensity value, the darker the grayscale color, and the smaller the detection intensity value, the lighter the grayscale color. The obtained two-dimensional grayscale image is as follows: Figure 4As shown. According to the acquisition process of the above detection signal, the center of the obtained two-dimensional grayscale image is a circular high-temperature area, indicating that the black body radiates infrared light to the detector, and the top corner of the image is a low-temperature area, indicating that the black body radiation is blocked by the aperture. The obtained two-dimensional grayscale image is processed according to the preset image processing algorithm to obtain the image pixel parameters corresponding to the two-dimensional grayscale image, and each group of detection signals can correspond to a group of image pixel parameters.

[0056] In a more specific embodiment, step S150 specifically includes the following sub-steps: calculating the gradient value of each pixel point in the two-dimensional grayscale image and obtaining the maximum gradient value; screening the pixel points in the two-dimensional grayscale image according to the judgment ratio configured in the image processing algorithm and the maximum gradient value to obtain valid pixel points; solving the evaluation function in the image processing algorithm to obtain the center coordinates and radius corresponding to the gradient value of the valid pixel point as the image pixel parameters.

[0057] Specifically, each pixel in a two-dimensional grayscale image corresponds to a coordinate value and a grayscale value, and the gradient value of each pixel can be calculated as shown in formula (2):

[0058] (2);

[0059] Slope x Slope is the horizontal gradient component of the pixel with coordinate value (x, y). y is the vertical gradient component of the pixel with coordinate value (x, y). According to the above calculation formula, the gradient value of each pixel can be obtained respectively, and the maximum gradient value in each two-dimensional grayscale image can be obtained, which is Max(Grad). The image composed of the gradient values ​​of each pixel is as follows Figure 5 As shown (dark color indicates small gradient, light color indicates large gradient).

[0060] The pixels in the two-dimensional grayscale image are further screened according to the judgment ratio configured in the image processing algorithm; specifically, according to the judgment ratio T and the maximum gradient value of the two-dimensional grayscale image, the screening threshold T×Max(Grad) can be calculated, and it is further determined whether the gradient value of each pixel in the two-dimensional grayscale image is not less than the screening threshold; if it is not less than the screening threshold, the pixel is retained, and if it is less than the screening threshold, the pixel is screened out, and finally the retained pixel is obtained as the valid pixel.

[0061] Furthermore, by solving the evaluation function in the image processing algorithm, the image pixel parameters corresponding to each two-dimensional grayscale image can be obtained. The evaluation function can be expressed by formula (3):

[0062] (3);

[0063] It can be proved that this evaluation function has a unique minimum value, and when the minimum value is obtained (x 0 ,y 0 ) is the circular center point of the two-dimensional grayscale image, R is the pixel radius, and the unit is the number of pixels; (x i ,y i ) is the coordinate value of the i-th pixel point in the effective pixel points. According to the above evaluation function, the pixel radius R and the center coordinates (x 0 ,y 0 ) as the corresponding image pixel parameters; then each set of detection signals can be calculated to obtain a set of image pixel parameters, and the center coordinates (x 0 ,y 0 ) is the same, only the pixel radius R changes. For example, for the above three sets of detection signals, the corresponding L 1 and D 1 The corresponding radius R 1 Based on the same principle, we can get 2 and D 2 The corresponding radius R 2 , and L 3 and D 3 The corresponding radius R 3 .

[0064] S160, performing linear fitting on the spatial angles and image pixel parameters of the multiple groups of detection signals to obtain corresponding field of view test results.

[0065] There is a certain linear correlation between the spatial angles of different detection signals and the image pixel parameters. Linear fitting can be performed on the spatial angles and image pixel parameters of multiple sets of detection signals to obtain the corresponding field of view test results.

[0066] In a more specific embodiment, step S160 specifically includes the following sub-steps: performing linear fitting on the spatial angle and the radius in the image pixel parameters to obtain corresponding fitting parameters; generating a fitting function corresponding to the field of view angle and the number of array pixels as the corresponding field of view test result based on the fitting parameters.

[0067] Specifically, a linear fit can be performed on the radius and the spatial angle in the image pixel parameters corresponding to the same set of detection signals. The specific fitting process can be expressed by formula (4):

[0068] (4);

[0069] Among them, θ n is the spatial angle corresponding to the nth group of detection signals, R nis the radius of the image pixel parameter of the nth group of detection signals, k and b are both fitting parameters. The fitting parameters can be determined by fitting the radius and space angle of at least three groups of detection signals.

[0070] Obviously, when 2R is equal to the number of array pixels N, the field of view test condition is met, so the corresponding fitting function can be generated as the field of view test result according to the fitting parameters. The obtained fitting function can be expressed by formula (5):

[0071] (5);

[0072] Wherein, k and b are known values, N is the number of array pixels of the detector, and FOV is the field of view angle.

[0073] In the above example, the number of pixels in the horizontal and vertical directions of the detector is the same, so the test result in one direction can be used as the indicator of the module. If the number of pixels in the horizontal and vertical directions is inconsistent, it is necessary to measure the horizontal field of view HFOV and the vertical field of view VFOV respectively. The measurement process is the same as the above process. When R-θ linear fitting is performed, the coefficients in the horizontal and vertical directions may be different. The final result should use the number of pixels in the horizontal direction N H and the number of pixels in the vertical direction N V Calculate separately. Then we can obtain the horizontal field of view test result corresponding to the horizontal field of view HFOV and the vertical field of view test result corresponding to the vertical field of view VFOV. Combining the horizontal field of view test result with the vertical field of view test result, we can get the corresponding field of view test result. The specific field of view test result is shown in formula (6);

[0074] (6).

[0075] In the field of view test method based on the infrared imaging system disclosed in the above embodiment, the method includes: obtaining the initial response signal when the aperture is not set, setting the aperture and adjusting the aperture distance and spacing value to obtain multiple groups of detection signals, if only the test result of one detection direction needs to be obtained, then analyzing to obtain the spatial angle of each group of initial detection parameters, converting the detection signal into a two-dimensional grayscale image and performing image processing to obtain image pixel parameters, and linearly fitting the spatial angles and image pixel parameters of the multiple groups of detection signals to obtain the field of view test results. The above field of view test method converts the detection signal into a two-dimensional grayscale image and performs image processing. By linearly fitting the spatial angles and image pixel parameters of the multiple groups of detection signals, it can effectively avoid the influence of the non-uniformity of infrared radiation from the center area and edge of the black body surface on the test results, thereby improving the reliability of the field of view test of the infrared imaging system.

[0076] The embodiment of the present invention further provides a field of view test device based on an infrared imaging system, which can be configured in a data processing terminal, the data processing terminal is connected to the detector for communication, and the field of view test device based on an infrared imaging system is used to execute any embodiment of the field of view test method based on an infrared imaging system. Specifically, please refer to Figure 6 , Figure 6 A schematic block diagram of a field of view testing device based on an infrared imaging system provided in an embodiment of the present invention.

[0077] like Figure 6 As shown, the field of view testing device 100 based on the infrared imaging system includes an initial response signal acquiring unit 110 , a detection signal acquiring unit 120 , a judging unit 130 , a space angle analyzing unit 140 , an image pixel parameter acquiring unit 150 and a test result acquiring unit 160 .

[0078] The initial response signal acquisition unit 110 is used to acquire the initial response signal detected by the detector when no aperture is set.

[0079] The detection signal acquisition unit 120 is used to adjust the aperture and spacing value of the diaphragm according to the initial response signal, and simultaneously acquire multiple groups of detection signals detected by the detector; the spacing value is the spacing between the diaphragm and the detector.

[0080] The judging unit 130 is used to judge whether it is necessary to obtain the test result of only one detection direction.

[0081] The spatial angle analysis unit 140 is used to analyze each group of detection signals and the corresponding initial detection parameters according to the preset spatial angle analysis rules to obtain the spatial angle corresponding to each group of initial detection parameters; the initial detection parameters include the aperture and spacing value of the diaphragm.

[0082] The image pixel parameter acquisition unit 150 is used to convert each group of detection signals into a corresponding two-dimensional grayscale image and perform image processing according to a preset image processing algorithm to obtain image pixel parameters corresponding to each group of detection signals.

[0083] The test result acquisition unit 160 is used to perform linear fitting on the spatial angles and image pixel parameters of the multiple sets of detection signals to obtain corresponding field of view test results.

[0084] The field of view test device based on the infrared imaging system provided in the embodiment of the present invention applies the above-mentioned field of view test method based on the infrared imaging system, obtains the initial response signal when the aperture is not set, sets the aperture and adjusts the aperture distance and spacing value to obtain multiple groups of detection signals, and if only the test result of one detection direction needs to be obtained, the spatial angle of each group of initial detection parameters is obtained by analysis, the detection signal is converted into a two-dimensional grayscale image and image processing is performed to obtain the image pixel parameters, and the spatial angles and image pixel parameters of the multiple groups of detection signals are linearly fitted to obtain the field of view test results. The above-mentioned field of view test method converts the detection signal into a two-dimensional grayscale image and performs image processing. By linearly fitting the spatial angles and image pixel parameters of the multiple groups of detection signals, it can effectively avoid the influence of the non-uniformity of infrared radiation from the central area and edge of the black body surface on the test results, thereby improving the reliability of the field of view test of the infrared imaging system.

[0085] The present application also provides a field of view test system based on an infrared imaging system. Figure 2 and Figure 3 As shown, the system includes a data processing terminal 20, a black body 11, an aperture 12, a lens 13 and a detector 14; the black body 11, the aperture 12, the lens 13 and the detector 14 are arranged in sequence on a guide rail 15 through a mounting bracket, and a scale for measuring distance values ​​is provided on the guide rail 15; the data processing terminal 20 is in communication connection with the detector 14. The lens 13 and the detector 14 are packaged into a detection module 10 for infrared radiation detection. More specifically, the detector 14 is an infrared thermopile detection array; wherein the aperture 12 is rotatably connected to the end of the screw rod, and the screw rod rotates to drive the aperture to translate along the guide rail.

[0086] The detector 14 may be configured as a 32×32 infrared thermopile detection array, and the array pixels in the detector 14 are 32×32.

[0087] The above-mentioned field of view test device based on infrared imaging system can be realized in the form of a computer program. The computer program can be used in Figure 7 Runs on the computer device shown.

[0088] See also Figure 7 , Figure 7 1 is a schematic block diagram of a computer device provided by an embodiment of the present invention. The computer device may be a data processing terminal for executing a field of view test method based on an infrared imaging system to perform a field of view test.

[0089] See also Figure 7The computer device 500 includes a processor 502 , a memory and a communication interface 505 connected via a communication bus 501 , wherein the memory may include a storage medium 503 and an internal memory 504 .

[0090] The storage medium 503 can store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, the processor 502 can execute a field of view test method based on an infrared imaging system, wherein the storage medium 503 can be a volatile storage medium or a non-volatile storage medium.

[0091] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500 .

[0092] The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute a field of view test method based on an infrared imaging system.

[0093] The communication interface 505 is used for network communication, such as providing data information transmission, etc. Those skilled in the art will appreciate that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device 500 to which the solution of the present invention is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0094] The processor 502 is used to run the computer program 5032 stored in the memory to implement the corresponding functions in the above-mentioned field of view testing method based on the infrared imaging system.

[0095] Those skilled in the art will understand that Figure 7 The embodiments of the computer device shown in the figure do not constitute a limitation on the specific composition of the computer device. In other embodiments, the computer device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, in some embodiments, the computer device may only include a memory and a processor. In such embodiments, the structure and function of the memory and the processor are the same as those of the embodiment of the present invention. Figure 7 The embodiments shown are consistent and will not be described again here.

[0096] It should be understood that in the embodiment of the present invention, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0097] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium may be a volatile or non-volatile computer-readable storage medium. The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps included in the above-mentioned field of view test method based on an infrared imaging system are implemented.

[0098] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the above-described equipment, devices and units can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. Those of ordinary skill in the art can appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0099] In the several embodiments provided by the present invention, it should be understood that the disclosed equipment, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. Units with the same function may also be combined into one unit. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices or units, or may be an electrical, mechanical or other form of connection.

[0100] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0101] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0102] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a computer-readable storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a magnetic disk or an optical disk.

[0103] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for testing the field of view based on an infrared imaging system, characterized in that: The method is applied in a data processing terminal, the field of view test system includes a black body, an aperture, a lens and a detector arranged in sequence, the data processing terminal is connected to the detector for communication, and the method includes: Acquiring an initial response signal detected by the detector when no aperture is set; The aperture and spacing value of the aperture are adjusted according to the initial response signal, and a plurality of detection signals detected by the detector are simultaneously acquired; the spacing value is the spacing between the aperture and the detector; Determine whether it is necessary to obtain the test result of only one detection direction; If yes, then analyze each group of detection signals and the corresponding initial detection parameters respectively according to the preset spatial angle analysis rules to obtain the spatial angle corresponding to each group of initial detection parameters; the initial detection parameters include the aperture and spacing value of the diaphragm; Convert each group of detection signals into a corresponding two-dimensional grayscale image and perform image processing according to a preset image processing algorithm to obtain image pixel parameters corresponding to each group of detection signals; Performing linear fitting on the spatial angles and image pixel parameters of the plurality of detection signals to obtain corresponding field of view test results; The converting each group of detection signals into a corresponding two-dimensional grayscale image and performing image processing according to a preset image processing algorithm to obtain image pixel parameters corresponding to each group of detection signals includes: Calculating the gradient value of each pixel in the two-dimensional grayscale image and obtaining the maximum gradient value; Screening the pixels in the two-dimensional grayscale image according to the determination ratio configured in the image processing algorithm and the maximum gradient value to obtain valid pixels; The center coordinates and radius of a circle corresponding to the gradient value of the effective pixel point are obtained by solving the evaluation function in the image processing algorithm as the image pixel parameters.

2. The field of view testing method based on the infrared imaging system according to claim 1, characterized in that: The step of respectively analyzing each group of detection signals and the corresponding initial detection parameters according to a preset spatial angle analysis rule to obtain the spatial angle corresponding to each group of initial detection parameters includes: The initial detection parameters of each group of detection signals are respectively input into the analytical formula in the spatial angle analytical rule to obtain the spatial angles corresponding to each group of initial detection parameters.

3. The visual field testing method based on the infrared imaging system according to claim 1, characterized in that: The linear fitting of the spatial angles and image pixel parameters of the plurality of detection signals to obtain corresponding field of view test results includes: Performing linear fitting on the space angle and the radius in the image pixel parameters to obtain corresponding fitting parameters; A fitting function corresponding to the field of view angle and the number of array pixels is generated according to the fitting parameters as the corresponding field of view test result.

4. The method for testing the field of view based on an infrared imaging system according to any one of claims 1 to 3, characterized in that: After determining whether it is necessary to obtain the test result of only one detection direction, the method further includes: If not, the horizontal detection value and the vertical detection value contained in each group of detection signals and the corresponding initial detection parameters are respectively analyzed according to the preset spatial angle analysis rules to obtain the horizontal spatial angle and the vertical spatial angle corresponding to each group of initial detection parameters; Convert each group of detection signals into a corresponding two-dimensional grayscale image and perform image processing according to a preset image processing algorithm to obtain image horizontal pixel parameters and image vertical pixel parameters corresponding to each group of detection signals; Performing linear fitting on the horizontal spatial angles and image horizontal pixel parameters of the plurality of detection signals to obtain corresponding field of view horizontal test results; Performing linear fitting on the vertical spatial angles and vertical pixel parameters of the image of the plurality of groups of detection signals to obtain corresponding vertical field of view test results; The horizontal field of view test result and the vertical field of view test result are combined into a corresponding field of view test result.

5. A field of view testing device based on an infrared imaging system, characterized in that: The device is configured in a data processing terminal, the field of view test system includes a black body, an aperture, a lens and a detector arranged in sequence, the data processing terminal is connected to the detector for communication, and the field of view test device based on the infrared imaging system is used to perform the field of view test method based on the infrared imaging system according to any one of claims 1 to 4, and the device includes: An initial response signal acquisition unit, used to acquire an initial response signal detected by the detector when no aperture is set; A detection signal acquisition unit, used for adjusting the aperture and spacing value of the diaphragm according to the initial response signal, and simultaneously acquiring a plurality of detection signals detected by the detector; the spacing value is the spacing between the diaphragm and the detector; A judging unit, used to judge whether it is necessary to obtain the test result of only one detection direction; A spatial angle analysis unit, for respectively analyzing each group of detection signals and the corresponding initial detection parameters according to a preset spatial angle analysis rule, so as to obtain the spatial angle corresponding to each group of initial detection parameters; the initial detection parameters include the aperture and spacing value of the diaphragm; An image pixel parameter acquisition unit, used to convert each group of detection signals into a corresponding two-dimensional grayscale image and perform image processing according to a preset image processing algorithm to obtain image pixel parameters corresponding to each group of detection signals; The test result acquisition unit is used to perform linear fitting on the spatial angles and image pixel parameters of the multiple groups of detection signals to obtain corresponding field of view test results.

6. A field of view test system based on an infrared imaging system, characterized in that: The system includes a data processing terminal, a black body, an aperture, a lens and a detector; The black body, aperture, lens and detector are arranged in sequence on the guide rail through a mounting bracket, and a scale for measuring the distance value is provided on the guide rail; The data processing terminal is in communication connection with the detector, and the data processing terminal includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When the processor executes the computer program stored in the memory, the steps of the field of view testing method based on the infrared imaging system as described in any one of claims 1 to 4 are implemented.

7. The visual field test system based on the infrared imaging system according to claim 6, characterized in that: The detector is an infrared thermopile detection array.

8. The field of view test system based on the infrared imaging system according to claim 6 or 7, characterized in that: The diaphragm is rotatably connected to the end of the lead screw, and the lead screw rotates to drive the diaphragm to translate along the guide rail.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the field of view testing method based on an infrared imaging system as described in any one of claims 1 to 4 are implemented.

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