A camera frame rate detection device and a camera frame rate detection method

Abstract

This application provides a camera frame rate detection device and a camera frame rate detection method. The camera frame rate detection device includes: a rotation speed generator, a marker disk, and an image analysis system. The marker disk has a marker pattern centered on it, divided into N equal marker portions distributed around the center of the pattern. Each marker portion is filled with color and has a mark. The color of each mark is different from the color of the marker portion it belongs to. Every two adjacent marker portions have different colors, and the marks in marker portions of the same color have different shapes. The included angle between marks in adjacent marker portions is ≥15° and ≤90°. By applying the solution of this invention, through the design of the marker pattern, the actual frame rate of the marker pattern can be obtained quickly and accurately, resulting in more accurate frame interval error and frame rate error data, thereby enabling accurate and effective calibration of the camera under test.

Description

Technical Field

[0001] This application belongs to the field of camera detection technology, and in particular relates to a camera frame rate detection device and a camera frame rate detection method. Background Technology

[0002] High-speed camera systems have a wide range of applications, including aerospace and military applications such as ballistic analysis, combustion research, mechanism movement, and explosion testing; and civilian applications such as automotive crash testing and sports. The main component of a high-speed camera system is the high-speed camera itself. High-speed cameras not only serve as storage and observation devices but are also used for measuring geometric parameters in the static and dynamic analysis of various weapon assemblies and ground-based tests of satellites (ships, rockets). This elevates the high-speed camera from an observational device to a measurement device with metrological attributes.

[0003] In the above applications, the accuracy of the frame rate determines the accuracy of the measurement results of the high-speed camera measurement system. However, there is currently a lack of reliable systems for measuring the frame rate of high-speed cameras, resulting in the inability to trace the frame rate parameters and thus failing to guarantee the accuracy and reliability of the high-speed camera measurement results.

[0004] One reason for the low reliability of high-speed camera frame rate measurement systems is the poor recognizability of existing rotational speed markers commonly used for testing camera frame rates. Commonly used markers in existing technologies are laser-etched markers and matte fan-shaped markers. Laser-etched markers, with their flat surfaces, are prone to reflection, increasing the difficulty of recognizing image markers. During the rotation of the marker, the reflected marker points in the high-speed camera image are difficult to identify, resulting in ineffective image analysis. Matte fan-shaped markers create a reflective difference by setting matte fan-shaped areas on the disk surface to distinguish different parts of the disk surface; however, the boundaries of this type of marker are unclear, and the image pixel error is large, severely affecting the test results.

[0005] In summary, the imaging effect of the marker disk in the existing technology is poor, resulting in a large error in the measurement of the frame rate of the high-speed camera, thus failing to guarantee the accuracy and reliability of the measurement results of the high-speed camera. Summary of the Invention

[0006] The main objective of this invention is to provide a camera frame rate detection device and a camera frame rate detection method to solve the problem of poor measurement accuracy in existing camera frame rate measurement systems.

[0007] To address the aforementioned problems, according to one aspect of the present invention, a camera frame rate detection device is provided, comprising: a rotation speed generating device; and a marker disk, the marker disk being driven by the rotation speed generating device at a preset speed v. srThe system rotates, and a marker pattern with the same center as the marker disk is set on it. The marker pattern is divided into N equal marker parts, which are distributed around the center of the marker pattern. Each marker part is filled with color and has a mark. The color of each mark is different from the color of the marker part it is in. Every two adjacent marker parts have different colors, and the marks in the marker parts with the same color have different shapes. The included angle between the marks in adjacent marker parts is ≥15° and ≤90°, 4≤N≤24, where N is a positive integer. The system is an image analysis system. The marker pattern is set to face the lens of the camera under test. When the marker disk rotates, the camera under test captures and records the movement of the marker pattern, generating raw image data. The raw image data includes the image to be processed. The image analysis system receives the raw image data from the camera under test and processes it to obtain processed data. The processed data includes the frame interval error and frame rate error of the camera under test.

[0008] Furthermore, the aforementioned speed generating device is a dual-shaft standard speed generating device.

[0009] Furthermore, the aforementioned markings are evenly distributed around the center of the marking pattern. Preferably, the markings are fan-shaped, the included angle between the markings is 90°, N=4, and the color of the markings is preferably selected from blue, white, and black. The markings are set on the marking disk by laser engraving.

[0010] Furthermore, the aforementioned camera frame rate detection device also includes: an illumination system, which includes a dark box, an illumination device, and an illumination controller. The dark box has an opening on one side, the illumination device is located inside the dark box, and the illumination controller controls the illumination state of the illumination device. A rotation speed generator and a marker disk are located inside the dark box. The marker pattern is positioned parallel to the dark box opening, and the projection of the marker pattern onto the dark box opening is smaller than the area of ​​the dark box opening. When the illumination device emits light, it can enhance the brightness of the marker pattern. The camera under test is located outside the dark box, with its lens facing the dark box opening. When the marker disk rotates, the camera under test captures and records the movement of the marker pattern, generating raw image data. The illumination device is a flicker-free illumination lamp.

[0011] Furthermore, the aforementioned camera frame rate detection device also includes: a two-dimensional optical vibration isolation adjustment stage, which is used to support the camera under test; and a parameter adjustment system, which is used to adjust the shooting parameters of the camera under test.

[0012] According to another aspect of the present invention, a camera frame rate detection method based on the above-described camera frame rate detection device is provided, comprising: S1: driving a marker disk at a preset speed v via a rotation speed generator. sr S2: Start the camera under test at f sThe frame rate is used to capture images of the rotating logo pattern to obtain raw image data, which includes the image to be processed. The total shooting time is t. S3: The raw image data is transmitted from the camera under test to the image analysis system and processed to obtain processed data, which includes the frame interval error and frame rate error of the camera under test.

[0013] Further, S1 includes: S1: controlling the speed generating device to operate at a preset speed v via a speed controller. sr Rotate, simultaneously driving the indicator disc at a preset speed v sr It rotates and, through a lighting controller, illuminates the lighting device to light up the logo pattern.

[0014] Furthermore, S2 above includes: S21: adjusting the shooting parameters of the camera under test; S22: starting the camera under test at f s The rotating logo pattern is photographed at a frame rate to obtain raw image data.

[0015] Furthermore, S3 above includes: S31: transmitting the original image data including the image to be processed from the camera under test to the image analysis system; S32: extracting the mark pattern from each image to be processed to obtain a valid image segment; S33: processing the valid image segment data to obtain processed data.

[0016] Further, S32 includes: S321: Scanning the original image data through an image analysis system and performing preliminary positioning according to the different gray levels of the markers; S322: Calculating the position coordinates of each marker in each image using a gray-weighted centroid algorithm; S323: Calculating the frame interval error and frame rate error using the position coordinates of each marker in each image.

[0017] By applying the solution of this invention, the image to be processed is clear after the design of the marker pattern, and the features of each marker part are obvious. This allows the image analysis system to quickly and accurately obtain the actual frame rate of the marker pattern through dual recognition of grayscale and graphics. After comparing with theoretical data, more accurate frame interval error and frame rate error data are obtained. This enables accurate and effective calibration of the camera under test, ensuring the stability and reliability of the photographic measurement system. In aerospace surveying and mapping applications, it provides support for various test missions such as non-contact measurement of the Chang'e lunar lander's deployment attitude, manned spacecraft protective missile launch tests, and compartment separation tests. Attached Figure Description

[0018] The following description, in conjunction with the accompanying drawings, will further illustrate the above-mentioned features, technical characteristics, advantages, and implementation methods of this application in a clear and understandable manner. The accompanying drawings are for illustrative and explanatory purposes only and do not limit the scope of this application. Wherein:

[0019] Figure 1 A schematic diagram of a camera frame rate detection device according to an embodiment of this application is shown; and

[0020] Figure 2 A schematic diagram of a logo pattern provided in one embodiment of this application is shown.

[0021] The above figures include the following reference numerals:

[0022] 010. Rotational speed generator; 020. Marker panel; 030. Image analysis system; 050. Two-dimensional optical vibration isolation adjustment table; 060. Camera under test; 021. Marking pattern; 041. Dark box; 042. Lighting device; 043. Lighting controller; 0211. Marking part; 0212. Marking. Detailed Implementation

[0023] To provide a clearer understanding of the technical features, objectives, and effects of this application, specific embodiments of this application will now be described with reference to the accompanying drawings.

[0024] The technical solution provided in this application solves the problem that the frame rate parameters of high-speed cameras cannot be traced, thus making it impossible to guarantee the accuracy and reliability of high-speed camera measurement results.

[0025] Figure 1 This is a schematic diagram of a camera frame rate detection device according to an embodiment of the present invention, as shown below. Figure 1 As shown, the camera frame rate detection device includes: a rotation speed generating device 010, a marker disk 020, and an image analysis system 030, wherein a marker pattern 021 with the same center as the marker disk 020 is provided on the marker disk 020.

[0026] The camera frame rate detection device in this embodiment uses a marker disk 020 with a marker pattern 021 centered at the same point as the marker disk 020. The marker pattern 021 is divided into N equal marker portions 0211, which are distributed around the center of the marker pattern 021. Each marker portion 0211 is filled with color and has a mark 0212. The color of the mark 0212 is different from the color of the marker portion 0211 it belongs to. Every two adjacent marker portions 0211 have different colors, and the marks 0212 in the marker portions 0211 with the same color have different shapes. The included angle between the marks 0212 in adjacent marker portions 0211 is ≥15° and ≤90°, 4≤N≤24, and N is a positive integer.

[0027] If the angle between adjacent markers 0212 is too small (less than 15°), ghosting can easily occur in the captured image due to the markers being too close together. If the angle is too large (greater than 90°), the number of markers 0211 will be too small, resulting in fewer corresponding recognition features, which will affect the accuracy and precision of the recognition. (Using 40000f) ps Taking a high-speed camera as an example, if the rotation speed system is set to 100,000 r / min (i.e. 1667 r / s), then theoretically the feature point rotation angle that the high-speed camera can capture in each frame is: 1667*360 / 40000≈15°. Therefore, the interval between the marker points must be more than 15°.

[0028] By using color and mark 0212 to double-identify the logo pattern 021, the combination of color and mark 0212 shape in each logo part 0211 is different, thus making it possible to clearly distinguish each logo part 0211. At the same time, the above-mentioned double identification allows the image analysis system to quickly and accurately determine each logo part 0211 and its position through dual recognition of grayscale and graphics during image processing.

[0029] The device provided in this application has a marker pattern 021 on the marker disk 020. In the marker pattern 021, there are clear boundaries between the marker parts 0211 and between the mark 0212 and the marker part 0211, which can improve the image software processing effect, reduce image pixel error, improve image tracking effect, and make the captured image clear. The features of each marker part 0211 are obvious, so that the image analysis system can quickly and accurately obtain the actual frame rate of the camera under test by dual recognition of the grayscale of the marker part 0211 and the shape of the mark 0212. After comparing with the theoretical data, more accurate frame interval error and frame rate error data are obtained, which can then accurately and effectively calibrate the camera under test 060, ensuring the stability and reliability of the photographic measurement system. In aerospace surveying and mapping applications, it can provide support for various types of test missions such as non-contact measurement of the Chang'e lander's deployment attitude, manned spacecraft protective missile launch test, and compartment separation test.

[0030] As is common in the prior art, the aforementioned speed generating device 010 includes a rotator and a rotator controller, and the image analysis system 030 can be a personal computer, workstation, laptop computer, tablet computer, etc., which will not be described in detail here.

[0031] Figure 2 The illustration shows a mark pattern 021 used in a specific embodiment of the present invention. For example... Figure 2As shown, the marking pattern 021 is divided into four marking portions 0211 by two perpendicular straight lines, and each marking portion 0211 is a 90° sector. Among them, adjacent marking portions 0211 have different colors, and opposite marking portions 0211 have the same color. For example, in this embodiment, the marking portions 0211 in the first and third quadrants are black, and the marking portions 0211 in the second and fourth quadrants are white. The marks 0212 in the marking portions 0211 having the same color have different shapes. In this embodiment, the marks 0212 provided in the marking portions 0211 of the first and second quadrants are circular, and the marks 0212 provided in the marking portions 0211 of the third and fourth quadrants are cross-shaped. The color of the mark 0212 is different from the color of the marking portion 0211 where it is located. In this embodiment, the marks 0212 in the first and third quadrants are white, and the marks 0212 in the second and fourth quadrants are black.

[0032] The marking pattern 021 is preferably circular. Since the distance from each point on the circular edge to the center is the same, the occurrence of edge motion smearing can be minimized in high-speed rotating photographs, which improves the clarity of the image to be processed. Since the included angle between the two straight lines dividing each marking portion 0211 is 90°, on the one hand, a relatively small number of identification regions can reduce the amount of data, which can further improve the efficiency of the identification process of the image analysis system; on the other hand, the included angle between adjacent marks 0212 is sufficiently large, which further avoids smearing in images captured by a high-speed camera. In addition, due to the axial symmetry, regular shape and uniform distribution of the four sector regions, combined with the uniqueness, high identifiability and double confirmation of the mark brought by the combined identification method of the color of the marking portions and the shape of the marks 0212, the image analysis system can quickly, effectively, accurately and clearly identify each marking portion 0211 during identification, so that the accuracy and credibility of the data are significantly improved. It has been verified by experiments that when the rotation speed of the standard rotating speed device is 80000r / min and the camera frame rate is 50000 frames / s, the standard deviation of the frame speed obtained by detecting the high-speed camera using the embodiment of the present application does not exceed 0.02 frames / s, the measurement accuracy is high, which ensures that the camera can be accurately calibrated.

[0033] Optionally, when N is an even number, there are N / 2 types of colors of the marking portions and shapes of the marks 0212 therein respectively; when N is an odd number, there are [N / 2]+1 types of colors of the marking portions and shapes of the marks 0212 therein respectively. The included angle between the marks 0212 can be 15°, 18°, 20°, 24°, 30°, 36°, 40°, 45°, 60° or 72°. The shape of the mark 0212 can be one of convex polygons (such as triangles, parallelograms, trapezoids, etc.), concave polygons, several intersecting lines (such as "丰"-shaped lines, "叉"-shaped lines, asterisks, etc.), star shapes and other commonly used marks.

[0034] The mark 0212 is preferably set on the mark disk 020 by laser engraving. Using laser lines for engraving can quickly and accurately engrave a wide variety of marks 0212, and the laser-engraved marks 0212 have clear boundaries, which is convenient for the image analysis system 030 to recognize and process.

[0035] The frame rate error and frame interval error of this application can be calculated using algorithms commonly used in the prior art. To simplify and improve the efficiency of the calculation process and enhance testing efficiency, in some embodiments of this application, the frame rate error of the camera under test 060 includes t. x Maximum error of instantaneous frame rate during duration t x Average error per frame rate over time and t x Duration Frame Rate Standard Deviation Where a″ ri For the i-th t x The logo pattern 021 rotated within the time limit

[0036] The actual angle (which can be calculated from the position coordinates of each marker in the corresponding image), a″ s For t x The theoretical angle that the logo pattern 021 rotated through within the time limit. Total shooting time t of camera 060 under test, t x ≤t. The above v sr The units are r / min, f is in frames / s, and t is in seconds. x The unit is seconds (s). Frame interval error Including maximum frame interval error Frame Interval Average Error and frame interval standard deviation Where, a′ ri Let a′ be the actual relative angle difference between the (i+1)th image to be processed and the ith image to be processed, specifically the marker pattern 021 (which can be calculated from the position coordinates of each marker in the corresponding image), where a′ s The theoretical angle that the marker pattern 021 rotates between two adjacent frames when captured by the camera under test 060. f s The frame rate set for camera shooting, measured in frames per second (fps).

[0037] The rotational speed generating device 010 used in this application can be selected from the prior art under the above conditions by those skilled in the art. Preferably, the rotational speed generating device 010 is a dual-axis standard rotational speed device, which has excellent stability and very small rotational speed error, further improving the measurement accuracy of the camera 060 under test.

[0038] In another embodiment of this application, the camera frame rate detection device further includes an illumination system, which includes a dark box 041, an illumination device 042, and an illumination controller 043. By setting up the illumination system, the rotation speed generator 010 and the marker disk 020 are placed in the dark box 041, and the marker disk 020 is illuminated by the illumination device 042. When the camera under test 060 takes a picture of the motion state of the fully exposed marker pattern 021 through the opening of the dark box 041 from outside the dark box, the resulting image shows a strong contrast between the marker pattern 021 and the surrounding environment. This allows the image analysis system 030 to quickly and accurately identify the marker pattern 021 to be measured during subsequent processing, further improving the efficiency and effectiveness of the measurement device.

[0039] In the embodiments of this application, the lighting device 042 is a flicker-free lamp. By using a flicker-free lamp, it is further ensured that the image brightness of the camera under test 060 remains at a high level during high-frequency photography.

[0040] In another embodiment of this application, the camera frame rate detection device further includes a two-dimensional optical vibration isolation adjustment stage 050 and a parameter adjustment system. Placing the camera under test 060 on the two-dimensional optical vibration isolation adjustment stage 050 ensures stability during camera shooting. The parameter adjustment system can adjust the shooting parameters of the camera under test 060, such as aperture, shutter speed, and resolution, to obtain higher quality images under corresponding external optical conditions.

[0041] According to one embodiment of this application, a camera frame rate detection method is also provided, the method comprising: S1: driving the marker disk 020 at a preset speed v via a rotation speed generator 010. sr Rotate; S2: Start the camera under test 060 at f s The frame rate is used to capture images of the rotating logo pattern 021 to obtain raw image data, which includes the image to be processed. The total shooting time is t. S3: The raw image data is transmitted from the camera under test 060 to the image analysis system 030 and processed to obtain processed data, which includes the frame interval error and frame rate error of the camera under test 060.

[0042] In this embodiment of the application, the speed generating device 010 drives the indicator disk 020 at a preset speed v. sr By rotating the camera and taking a picture of the marker pattern 021 through the camera under test 060, the raw image data can be obtained. This raw image data includes the camera's set frame rate f. sAll images to be processed were recorded by the camera. Due to the design of the marker pattern, the images obtained were clear, and the features of each marker part 0211 were obvious. This allowed the image analysis system to quickly and accurately obtain the actual frame rate of the marker pattern 021 through dual recognition of grayscale and graphics. After comparing with theoretical data, more accurate frame interval error and frame rate error data were obtained. This enabled accurate and effective calibration of the camera 060 under test, ensuring the stability and reliability of the photographic measurement system. In aerospace surveying and mapping applications, this system provides support for various test missions, such as non-contact attitude measurement of the Chang'e lunar lander, launch tests of manned spacecraft protective shields, and compartment separation tests.

[0043] In another embodiment of this application, S1 includes driving the marker disk 020 at a preset speed v via the rotation speed generating device 010. sr The device rotates and controls the lighting device 042 to emit light via the lighting controller 043, illuminating the marking pattern 021. The lighting device 042 illuminates the marking disk 020, creating a strong contrast between the marking pattern 021 in the image to be measured and the surrounding environment. This allows the image analysis system 030 to quickly and accurately identify the marking pattern 021 to be measured during subsequent processing, further improving the efficiency and effectiveness of the measuring device.

[0044] Optionally, S2 includes: S21: adjusting the shooting parameters of the camera under test 060; S22: starting the camera under test 060 at f s The rotating marker pattern 021 is photographed at a frame rate to obtain raw image data. The camera's shooting parameters (such as aperture, shutter speed, resolution, etc.) are adjusted to obtain a higher quality image under the appropriate external optical conditions.

[0045] Optionally, S3 includes: S31: transmitting the original image data, including the image to be processed, from the camera under test to the image analysis system; S32: extracting the marker pattern from each image to be processed to obtain effective image segments; S33: processing the effective image segment data to obtain processed data. Before analyzing the image to be processed, the image analysis system 030 first analyzes the original data to obtain effective image data that is easy to measure, that is, selecting clearer photos and coherent images from the high-quality images to be processed, further improving the accuracy of the detection device of this application.

[0046] Those skilled in the art can use existing image recognition methods to obtain the processed data. In order to make the recognition method better match the logo pattern of this application and thus obtain the output result efficiently and accurately, S32 preferably includes: S321: scanning the original image data through an image analysis system and performing preliminary positioning according to the different gray levels of the logo part 0211; S322: calculating the position coordinates of each mark 0212 in each image using a gray-weighted centroid algorithm; S323: calculating the frame interval error and frame rate error using the position coordinates of each mark 0212 in each image.

[0047] It should be understood that although this specification is described according to various embodiments, not every embodiment contains only one independent technical solution. This way of describing the specification is only for clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

[0048] The above description is merely an illustrative embodiment of this application and is not intended to limit the scope of this application. Any equivalent changes, modifications, and combinations made by those skilled in the art without departing from the concept and principles of this application shall fall within the scope of protection of this application.

Claims

1. A camera frame rate detection device, comprising: Speed ​​generating device; The indicator disc, driven by the rotation speed generator, moves at a preset speed v sr The sign disk is rotated, and a sign pattern with the same center as the sign disk is set on it. The sign pattern is divided into N equal sign parts, which are distributed around the center of the sign pattern. Each sign part is filled with color and has a mark. The color of each mark is different from the color of the sign part in which the mark is located. Every two adjacent sign parts have different colors, and the marks in the sign parts with the same color have different shapes. The included angle between the marks in adjacent sign parts is ≥15° and ≤90°, 4≤N≤24, where N is a positive integer. Image analysis system; The marker pattern is positioned facing the lens of the camera under test. As the marker disk rotates, the camera under test captures and records the movement of the marker pattern, generating raw image data. The raw image data includes the image to be processed. The image analysis system receives the raw image data from the camera under test and processes the raw image data to obtain processed data. The processed data includes the frame interval error and frame rate error of the camera under test, wherein the frame interval error and frame rate error are calculated in the following manner: The image analysis system scans the original image data and performs preliminary positioning based on the different gray levels of the markers; the gray-weighted centroid algorithm is used to calculate the position coordinates of each marker in each image; and the frame interval error and frame rate error are calculated using the position coordinates of each marker in each image.

2. The camera frame rate detection device according to claim 1, wherein, The speed generating device is a dual-axis standard speed generating device.

3. The camera frame rate detection device according to claim 1, wherein, The logo portions are evenly distributed around the center of the logo pattern.

4. The camera frame rate detection device according to claim 3, wherein, The logo portion is evenly distributed around the center of the logo pattern, and the logo portion is fan-shaped.

5. The camera frame rate detection device according to claim 4, wherein, The included angle between the marks is 90°, N=4, and the color of the mark portion is selected from blue, white, and black. The marks are set on the mark disk by laser engraving.

6. The camera frame rate detection device according to claim 1, wherein, The camera frame rate detection device also includes: A lighting system, comprising a dark box, a lighting device, and a lighting controller, wherein the dark box has an opening on one side, the lighting device is disposed inside the dark box, and the lighting controller controls the light emission state of the lighting device; The rotation speed generating device and the indicator disk are disposed in the dark box. The indicator pattern is arranged parallel to the opening of the dark box, and the projection of the indicator pattern onto the opening surface is smaller than the area of ​​the opening. When the lighting device emits light, it can increase the brightness of the indicator pattern. The camera under test is positioned outside the dark box, with its lens facing the opening of the dark box. As the marker disk rotates, the camera under test captures and records the movement of the marker pattern, generating raw image data. The lighting device is a flicker-free light.

7. The camera frame rate detection device according to claim 1, wherein, The camera frame rate detection device also includes: A two-dimensional optical vibration isolation adjustment stage is used to support the camera under test; A parameter adjustment system is provided for adjusting the shooting parameters of the camera under test.

8. A camera frame rate detection method for the camera frame rate detection device according to claim 1, comprising: S1: The indicator disc is driven by the speed generator at the preset speed v. sr Rotate; S2: Start the camera under test at f s The rotating logo pattern is photographed at a frame rate to obtain raw image data, which includes the image to be processed. The total shooting time is t. S3: The original image data is transmitted from the camera under test to the image analysis system, and the original image data is processed to obtain processed data, which includes the frame interval error and frame rate error of the camera under test.

9. The camera frame rate detection method according to claim 8, wherein, S1 includes: S1: The speed controller controls the speed generating device to operate at the preset speed v. sr Rotation, simultaneously driving the indicator disk at the preset speed v sr The device rotates and illuminates the logo pattern by controlling the lighting device via a lighting controller.

10. The camera frame rate detection method according to claim 8, wherein, S2 includes: S21: Adjust the shooting parameters of the camera under test; S22: Start the camera under test with the f s The rotating logo pattern is photographed at a frame rate to obtain the original image data.

11. The camera frame rate detection method according to claim 8, wherein, S3 includes: S31: The raw image data, including the image to be processed, is transmitted from the camera under test to the image analysis system; S32: Extract the logo pattern from each of the images to be processed to obtain a valid image segment; S33: Process the effective image segment data to obtain the processed data.

12. The camera frame rate detection method according to claim 11, wherein, S32 includes: S321: Scan the original image data using the image analysis system and perform preliminary positioning based on the different gray levels of the marker portion; S322: The position coordinates of each marker in each image are calculated using the gray-scale weighted centroid algorithm; S323: Using the position coordinates of each marker in each image, calculate the frame interval error and the frame rate error.

Images