Abnormal reflected light interference suppression method based on laser line scanning system

Abstract

The invention relates to the technical field of laser line scanning, and discloses an abnormal reflected light interference suppression method based on a laser line scanning system, which comprises the following steps: S1, extracting all laser lines in original image data, and calculating the position, amplitude and width of each point; s2, laser ray optimal strategy grouping is carried out, and the extracted laser rays are divided into two groups according to the principle of maximum amplitude and maximum width; s3, based on turning point identification, continuity judgment and local continuity judgment, laser ray local continuity judgment and grouping and recombination are comprehensively evaluated; S4, final laser ray reconstruction is carried out, and reconstructed laser ray data are output after smooth processing; s5, outputting and verifying a result, and verifying the result through a visualization or numerical analysis method; through the local continuity judgment and grouping recombination process, abnormal reflected light interference in the laser rays can be effectively identified and processed, and meanwhile the global continuity of the laser rays is kept.

Description

Technical Field

[0001] The present invention relates to the technical field of laser line scanning, and more specifically, to a method for suppressing abnormal reflected light interference based on a laser line scanning system. Background Art

[0002] Laser line scanning technology has been widely used in industrial measurement, 3D reconstruction, machine vision and other fields. This technology projects a laser line onto the surface of an object, and then uses a camera to capture the reflected light image to obtain the 3D contour information of the object. Existing laser line extraction methods include edge method, threshold method, maximum method, grayscale centroid method, curve fitting method and Steger algorithm. In practical applications, laser line scanning systems often face the problem of abnormal reflected light interference, making it difficult to ensure the global continuity of the extracted laser line. The lack of consideration of the local characteristics of the laser line results in inaccurate extraction results. When the laser line is broken or multiple laser lines coexist, it is difficult to accurately reconstruct the complete laser line.

[0003] For the laser line extraction method with high light intensity interference, some scholars have combined the Gaussian distribution correlation coefficient with the adaptive template size adjustment method. This method is complex and computationally intensive, but it can effectively resist high light intensity interference. For the problem of broken lines caused by complex object surfaces, some scholars have proposed the extraction of light stripe centers based on genetic methods. This genetic algorithm can simulate natural selection and genetic mechanisms, find the global optimal solution through iterative search, and repair the broken lines. The genetic algorithm has a large amount of computation and may require a long computing time; in some complex cases, the genetic method may not be able to find the global optimal solution.

[0004] In view of this, the present invention provides a method for suppressing abnormal reflected light interference based on a laser line scanning system. Summary of the invention

[0005] In order to overcome the problems in the prior art, the present invention proposes a method for suppressing abnormal reflected light interference based on a laser line scanning system, which can handle abnormal reflected light interference in complex environments and extract the most continuous laser line that best conforms to the true contour of the object.

[0006] According to one aspect of the present invention, a method for suppressing abnormal reflected light interference based on a laser line scanning system is provided, comprising the following steps:

[0007] Step S1: extract all laser lines in the original image data and calculate the position, amplitude and width of each point;

[0008] Step S2: grouping the laser lines by the optimal strategy, dividing the extracted laser lines into two groups according to the principle of maximum amplitude and maximum width;

[0009] Step S3: Based on the turning point identification, continuity judgment and local continuity judgment, comprehensively evaluate the local continuity judgment and grouping and reorganization of the laser line:

[0010] Step S4: finally reconstructing the laser line, and outputting the reconstructed laser line data after smoothing;

[0011] Step S5: Result output and verification, verify the results through visualization or numerical analysis methods.

[0012] As a preferred technical solution of the present invention, the acquisition logic of the laser line is:

[0013] Acquire raw image data from a laser scanning device, process each line of image data in the raw image data, extract laser lines that meet preset conditions, and calculate the position, amplitude, and width of each point on the laser line;

[0014] For the rows where the laser line position cannot be extracted, special values ​​are assigned to distinguish them from the normal laser line positions.

[0015] As a preferred technical solution of the present invention, the two groups of laser lines are:

[0016] The first set of laser data: the amplitude is the largest in each row. If the amplitudes are the same, the laser line profile with the largest width is selected;

[0017] The second set of laser data: laser line profile with the next highest amplitude and width.

[0018] As a preferred technical solution of the present invention, the application logic of local continuity determination and grouping reorganization of laser lines is as follows:

[0019] Step S31: identifying turning points in the first set of laser data;

[0020] Step S32: Process each turning point, start traversing from the turning point position corresponding to the next point of the second group, judge the position consistency and direction consistency, and determine whether it is continuous after comprehensive evaluation;

[0021] Step S33: Calculate the position difference and the direction vector angle for each pair of two consecutive points between the turning points, and decide whether reorganization is needed after comprehensive evaluation;

[0022] Step S34: the interval between two adjacent turning points is marked as a local interval, and each turning point is processed, starting from the turning point position corresponding to the next point of the second group, traversing, judging the position consistency and direction consistency, and comprehensively judging whether the local interval has continuity;

[0023] Step S35: Repeat steps S32 to S34 until all turning points are traversed; perform the reorganization operation on all the intervals marked to be reorganized in turn.

[0024] As a preferred technical solution of the present invention, the recognition logic of the turning point is:

[0025] In the first group, points with larger position differences are identified. A position difference threshold can be set. If the point is larger than the position threshold, its position is recorded and considered as a turning point. Otherwise, it is not recorded.

[0026] As a preferred technical solution of the present invention, the processing logic for each turning point is:

[0027] Start from the i-th turning point and end at the i+1-th turning point (if i is the last turning point, end directly).

[0028] Start traversing from the next point of the second group corresponding to the i-th turning point;

[0029] If a special value is encountered, the traversal of the current turning point is terminated and the process returns to step S32;

[0030] If there is no special value, start judging the position consistency and direction consistency and execute step S33.

[0031] As a preferred technical solution of the present invention, the judgment logic of position consistency and direction consistency is:

[0032] Obtaining the coordinates of the turning point in the first set of laser data and the corresponding position of the second set of laser data, calculating the position difference d of the two points, and obtaining first discrimination data of position consistency based on the position difference d;

[0033] Calculate the direction vector angle θ of the two points, and obtain the second discrimination data of direction consistency based on the direction vector angle θ, where θ=arccos((A*B) / (|A|*|B|)*(180° / Π));

[0034] Based on prior knowledge, weight coefficients are assigned to the first discriminant data and the second discriminant data respectively; based on the weight coefficients, weighted accumulation is performed to obtain a comprehensive evaluation, and the comprehensive evaluation w is

[0035] w=W1*d+W2*θ, where W1 and W2 are weight coefficients.

[0036] If all point pairs meet the judging criteria, the four points at the turning point of the first group and after the relevant position of the second group are considered to be initially continuous, and the next step of judgment is performed; otherwise, return to step S32.

[0037] As a preferred technical solution of the present invention, the judgment logic of local continuity is:

[0038] Between the i-th turning point and the i+1-th turning point, the position consistency and direction consistency of each pair of adjacent turning points are calculated and identified to obtain a comprehensive judgment. If all pairs of turning points meet the judgment criteria, the local interval is marked as needing to be reorganized; otherwise, no reorganization is required.

[0039] As a preferred technical solution of the present invention, the logic of reorganization marking and execution is:

[0040] The laser centerline data between the i-th turning point and the i+1-th turning point are replaced from the second group to the corresponding position of the first group.

[0041] According to another aspect of the present invention, a computer program product stored on a computer-readable medium is provided, including a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement a method for suppressing abnormal reflected light interference based on a laser line scanning system.

[0042] The technical effects and advantages of the method for suppressing abnormal reflected light interference based on a laser line scanning system of the present invention are as follows:

[0043] The present invention can effectively identify and process abnormal reflected light interference in the laser line through local continuity judgment and grouping reorganization process, while maintaining the global continuity of the laser line. It is particularly suitable for processing objects with complex surface features or multiple reflections, and can significantly improve the measurement accuracy and reliability of the laser line scanning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A flow chart of a method for suppressing abnormal reflected light interference based on a laser line scanning system provided by the present invention;

[0045] Figure 2 This is a schematic diagram of the laser lines of the present invention being grouped according to rules;

[0046] Figure 3 This is a schematic diagram of the first set of laser data of the present invention;

[0047] Figure 4 This is a schematic diagram of a second set of laser data of the present invention;

[0048] Figure 5 This is a schematic diagram of the reorganized laser line data of the present invention. DETAILED DESCRIPTION

[0049] 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 only 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.

[0050] The existing laser line extraction methods mainly include the following:

[0051] Edge method: extracts the laser line by detecting the edge of the laser line. It first detects the edge and then extracts the midline or average position of the edge as the center of the laser line. It has a fast processing speed and is suitable for measuring large objects or fast-moving objects. It has low accuracy and large errors.

[0052] Threshold method: The threshold method selects a pair of appropriate threshold points on the cross section of the light stripe to segment the laser stripe, and takes the midpoint of the two threshold segmentation points as the center point of the light stripe. The algorithm is simple, the calculation speed is fast, but it is easily affected by noise and the extraction accuracy is poor. If interference noise appears between the two threshold segmentation points, the extracted center point of the laser line will deviate from the actual position.

[0053] Maximum value method: Find the maximum brightness value in each row or column as the laser line position. When the grayscale distribution of the laser stripe cross section is an ideal Gaussian distribution, the extraction effect is good and the speed is fast. However, when there is strong abnormal reflected light, this method may mistakenly identify the abnormal reflected light as a laser line.

[0054] Grayscale centroid method: The grayscale centroid of the light stripe area is extracted by calculating line by line, and this point is used to represent the center point position of the light stripe of the cross section, and finally all the center points are fitted to form the center line of the light stripe. This method has a fast operation speed and can achieve sub-pixel extraction. It also has a certain resistance to noise, but it is still difficult to accurately locate the target laser line when there are multiple laser lines or abnormal reflected light.

[0055] Curve fitting method: Using the pixel coordinates and grayscale values ​​near the peak point to fit the curve, the sub-pixel grayscale extraction can be accurate when it meets the Gaussian distribution. However, when the light stripes are narrow or vary greatly, the error is large and it is sensitive to noise.

[0056] Steger algorithm: The normal direction of the light streaks in the image is obtained based on the Hessian matrix, and then the sub-pixel position is obtained using Taylor expansion in the normal direction. It has high accuracy and can realize sub-pixel extraction. However, it has a huge amount of computation and low efficiency, and is not suitable for real-time applications.

[0057] Example 1

[0058] See also Figure 1 As shown, a method for improving target detection accuracy described in this embodiment includes the following steps:

[0059] Step S1: extract all laser lines in the original image data and calculate the position, amplitude and width of each point.

[0060] It should be noted that by comprehensively considering the amplitude, width and continuity of the laser line, the interference of abnormal reflected light is effectively suppressed and the accuracy of laser line extraction is improved.

[0061] Specifically, if Figure 2 As shown, the logic of obtaining the laser line is:

[0062] Acquire raw image data from a laser scanning device, process each line of image data in the raw image data, extract laser lines that meet preset conditions, and calculate the position, amplitude, and width of each point on the laser line;

[0063] For the rows where the laser line position cannot be extracted, special values ​​are assigned to distinguish them from the normal laser line positions.

[0064] It should be noted that the laser line is composed of multiple points on the image, and one point in the Y-axis direction of the image is a line; the determination is made based on the presence or absence of the laser line on the brightness image, the brightness, the preset laser line width and other conditions.

[0065] Step S2: grouping the laser lines by the optimal strategy, dividing the extracted laser lines into two groups according to the principle of maximum amplitude and maximum width;

[0066] It should be noted that: the multi-level judgment mechanism and adaptive grouping strategy enable this method to adapt to various complex environments and enhance the reliability of laser line reconstruction; through the strategy of rapid grouping and local optimization, the most continuous laser line in the world can be quickly located and distinguished, so as to more comprehensively reflect the overall situation of the laser line, and comprehensively consider the continuity of the laser line. Therefore, based on the comprehensive consideration of amplitude and width, the optimal grouping strategy is formulated to improve the anti-interference ability of laser line extraction and the adaptive grouping strategy.

[0067] Specifically, the laser lines are divided into two groups that can best reflect the contour of the object, and the grouping strategy based on the optimal strategy of the laser lines ensures that the first group has the best global continuity; e.g. Figure 3-4 As shown, the two groups of laser lines are:

[0068] The first set of laser data: the amplitude is the largest in each row. If the amplitudes are the same, the laser line profile with the largest width is selected;

[0069] The second set of laser data: laser line profile with the next highest amplitude and width.

[0070] Step S3: Based on the turning point identification, continuity judgment and local continuity judgment, comprehensively evaluate the local continuity judgment and grouping and reorganization of the laser line;

[0071] It should be noted that: through the optimal grouping strategy and local continuity judgment, the local optimization within the laser data group is carried out, and the laser lines are reorganized, which effectively improves the global continuity of the extracted laser lines and better reflects the real contour of the object.

[0072] Application logic of local continuity determination and grouping reorganization of laser lines:

[0073] Step S31: identifying turning points in the first set of laser data;

[0074] Specifically, the logic for identifying turning points is:

[0075] In the first group, points with larger position differences are identified. A position difference threshold can be set. If the point is larger than the position threshold, its position is recorded and considered as a turning point. Otherwise, it is not recorded.

[0076] Step S32: Process each turning point, start traversing from the turning point position corresponding to the next point of the second group, judge the position consistency and direction consistency, and determine whether it is continuous after comprehensive evaluation;

[0077] The processing logic for each turning point is:

[0078] Start from the i-th turning point and end at the i+1-th turning point (if i is the last turning point, end directly).

[0079] Start traversing from the next point of the second group corresponding to the i-th turning point;

[0080] If a special value is encountered, the traversal of the current turning point is terminated and the process returns to step S32;

[0081] If there is no special value, start judging the position consistency and direction consistency and execute step S33.

[0082] Step S33: Calculate the position difference and the direction vector angle for each pair of two consecutive points between the turning points, and decide whether reorganization is needed after comprehensive evaluation;

[0083] Specifically, the judgment logic of position consistency and direction consistency is:

[0084] Obtaining the coordinates of the turning point in the first set of laser data and the corresponding position of the second set of laser data, calculating the position difference d of the two points, and obtaining first discrimination data of position consistency based on the position difference d;

[0085] Calculate the direction vector angle θ of the two points, and obtain the second discrimination data of direction consistency based on the direction vector angle θ, where θ=arccos((A*B) / (|A|*|B|)*(180° / Π));

[0086] Based on prior knowledge, weight coefficients are assigned to the first discriminant data and the second discriminant data respectively; based on the weight coefficients, weighted accumulation is performed to obtain a comprehensive evaluation, and the comprehensive evaluation w is

[0087] w=W1*d+W2*θ, where W1 and W2 are weight coefficients.

[0088] If all point pairs meet the judging criteria, the four points at the turning point of the first group and after the relevant position of the second group are considered to be initially continuous, and the next step of judgment is performed; otherwise, return to step S32.

[0089] It should be noted that the last point of the second group is the starting point, and four points are taken backwards.

[0090] Step S34: the interval between two adjacent turning points is marked as a local interval, and each turning point is processed, starting from the turning point position corresponding to the next point of the second group, traversing, judging the position consistency and direction consistency, and comprehensively judging whether the local interval has continuity;

[0091] The judgment logic of local continuity is:

[0092] Between the i-th turning point and the i+1-th turning point, the position consistency and direction consistency of each pair of adjacent turning points are calculated and identified to obtain a comprehensive judgment. If all pairs of turning points meet the judgment criteria, the local interval is marked as needing to be reorganized; otherwise, no reorganization is required.

[0093] Step S35: Repeat steps S32 to S34 until all turning points are traversed; perform the reorganization operation on all the intervals marked to be reorganized in turn.

[0094] Specifically, the logic of reorganization marking and execution is:

[0095] The laser centerline data between the i-th turning point and the i+1-th turning point are replaced from the second group to the corresponding position of the first group.

[0096] Step S4: finally reconstructing the laser line, and outputting the reconstructed laser line data after smoothing;

[0097] Specifically, a more accurate laser line reconstruction is achieved through a multi-level judgment mechanism of global continuity judgment, local continuity judgment, and turning point continuity judgment. The final laser line profile is reconstructed based on the reorganized first set of data, such as Figure 5As shown; the reconstructed laser line is smoothed to eliminate possible minor discontinuities.

[0098] Step S5: Result output and verification, verify the results through visualization or numerical analysis methods.

[0099] Specifically, the reconstructed laser line data is output; the accuracy and continuity of the reconstruction results are verified by visualization methods or numerical analysis methods.

[0100] The present invention effectively handles complex situations such as the coexistence of multiple laser lines and laser line breakage, has strong adaptability, and can be widely used in various laser line scanning systems; combined with algorithm optimization, the system's anti-interference ability is improved, which can reduce the requirements for hardware equipment to a certain extent, thereby reducing the overall cost of the system.

[0101] Example 2

[0102] In an exemplary embodiment, a computer program product stored on a computer-readable medium includes a computer-readable program, which, when executed on an electronic device, provides a user input interface to implement a method for suppressing abnormal reflected light interference based on a laser line scanning system.

[0103] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0104] In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program includes one or more program codes, and the one or more program codes are stored in a computer-readable storage medium. One or more processors of an electronic device can read the one or more program codes from the computer-readable storage medium, and the one or more processors execute the one or more program codes, so that the electronic device can perform the above-mentioned method for suppressing abnormal reflected light interference based on a laser line scanning system.

[0105] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0106] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0107] A person of ordinary skill in the art will understand that all or part of the steps to implement the above embodiments can be completed by hardware, or can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. The above-mentioned storage medium can be a read-only memory, a disk or an optical disk, etc.

[0108] The above description is only an optional embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0109] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, 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 one, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0110] 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 solution of this embodiment.

[0111] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0112] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for suppressing abnormal reflected light interference based on a laser line scanning system, characterized in that: The following steps are involved: Step S1: extract all laser lines in the original image data and calculate the position, amplitude and width of each point; Step S2: grouping the laser lines by the optimal strategy, dividing the extracted laser lines into two groups according to the principle of maximum amplitude and maximum width; Step S3: Based on the turning point identification, continuity judgment and local continuity judgment, comprehensively evaluate the local continuity judgment and grouping and reorganization of the laser line: Step S4: finally reconstructing the laser line, and outputting the reconstructed laser line data after smoothing; Step S5: Result output and verification, verify the results through visualization or numerical analysis methods.

2. The method for suppressing abnormal reflected light interference based on a laser line scanning system according to claim 1, characterized in that: The acquisition logic of the laser line: Acquire raw image data from a laser scanning device, process each line of image data in the raw image data, extract laser lines that meet preset conditions, and calculate the position, amplitude, and width of each point on the laser line; For the rows where the laser line position cannot be extracted, special values ​​are assigned to distinguish them from the normal laser line positions.

3. The method for suppressing abnormal reflected light interference based on a laser line scanning system according to claim 2, characterized in that: The two groups of laser lines are: The first set of laser data: the amplitude is the largest in each row. If the amplitudes are the same, the laser line profile with the largest width is selected; The second set of laser data: laser line profile with the next highest amplitude and width.

4. The method for suppressing abnormal reflected light interference based on a laser line scanning system according to claim 3, characterized in that: Application logic of local continuity determination and grouping reorganization of laser lines: Step S31: identifying turning points in the first set of laser data; Step S32: Process each turning point, start traversing from the turning point position corresponding to the next point of the second group, judge the position consistency and direction consistency, and determine whether it is continuous after comprehensive evaluation; Step S33: Calculate the position difference and the direction vector angle for each pair of two consecutive points between the turning points, and decide whether reorganization is needed after comprehensive evaluation; Step S34: the interval between two adjacent turning points is marked as a local interval, and each turning point is processed, starting from the turning point position corresponding to the next point of the second group, traversing, judging the position consistency and direction consistency, and comprehensively judging whether the local interval has continuity; Step S35: Repeat steps S32 to S34 until all turning points are traversed; perform the reorganization operation on all the intervals marked to be reorganized in turn.

5. The method for suppressing abnormal reflected light interference based on a laser line scanning system according to claim 4, characterized in that: The logic of identifying turning points is: In the first group, points with larger position differences are identified. A position difference threshold can be set. If the point is larger than the position threshold, its position is recorded and considered as a turning point. Otherwise, it is not recorded.

6. The method for suppressing abnormal reflected light interference based on a laser line scanning system according to claim 5, characterized in that: The processing logic for each turning point is: Start from the i-th turning point and end at the i+1-th turning point. If i is the last turning point, end directly. Start traversing from the next point of the second group corresponding to the i-th turning point; If a special value is encountered, the traversal of the current turning point is terminated and the process returns to step S32; If there is no special value, start judging the position consistency and direction consistency and execute step S33.

7. The method for suppressing abnormal reflected light interference based on a laser line scanning system according to claim 6, characterized in that: The judgment logic of position consistency and direction consistency is: Obtaining the coordinates of the turning point in the first set of laser data and the corresponding position of the second set of laser data, calculating the position difference d of the two points, and obtaining first discrimination data of position consistency based on the position difference d; Calculate the direction vector angle θ of the two points, and obtain the second discrimination data of direction consistency based on the direction vector angle θ, where θ=arc cos((A*B) / (|A|*|B|)*(180° / Π)); Based on prior knowledge, weight coefficients are assigned to the first discrimination data and the second discrimination data respectively; weighted accumulation is performed based on the weight coefficients to obtain a comprehensive evaluation, and the comprehensive evaluation w is w=W1*d+W2*θ, wherein W1 and W2 are weight coefficients. If all point pairs meet the judging criteria, the four points at the turning point of the first group and after the relevant position of the second group are considered to be initially continuous, and the next step of judgment is performed; otherwise, return to step S32.

8. The method for suppressing abnormal reflected light interference based on a laser line scanning system according to claim 7, characterized in that: The judgment logic of local continuity is: Between the i-th turning point and the i+1-th turning point, the position consistency and direction consistency of each pair of adjacent turning points are calculated and identified to obtain a comprehensive judgment. If all pairs of turning points meet the judgment criteria, the local interval is marked as needing to be reorganized; otherwise, no reorganization is required.

9. The method for suppressing abnormal reflected light interference based on a laser line scanning system according to claim 8, characterized in that: The logic of reorganization marking and execution is: The laser centerline data between the i-th turning point and the i+1-th turning point are replaced from the second group to the corresponding position of the first group.

10. A computer program product stored on a computer readable medium, characterized in that: It comprises a computer readable program, which, when executed on an electronic device, provides a user input interface to implement a method for suppressing abnormal reflected light interference based on a laser line scanning system as described in any one of claims 1 to 9.

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