Image correction method and device for handheld back scattering X-ray imaging equipment

Abstract

The invention discloses an image correction method and device for handheld back scattering X-ray imaging equipment, and is applied to the technical field of X-ray imaging, and the method comprises the steps: obtaining a scattering image through the handheld back scattering X-ray imaging equipment; based on marshalling of the gaps and weighted statistical averaging of a plurality of imaging lines generated by the gaps, a scattering mean value signal is obtained; calibrating the scattering mean value signal in the vertical direction and the horizontal direction to obtain a calibration coefficient in the vertical direction and a correction coefficient in the horizontal direction; performing image correction on the scattering image according to the vertical direction calibration coefficient and the horizontal direction correction coefficient; the problems of transverse stripes and uneven brightness of the image are effectively solved, and the imaging quality is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of X-ray imaging, and in particular to an image correction method and device for a handheld backscattered X-ray imaging device. Background Art

[0002] A handheld backscatter X-ray imaging device is a handheld device that uses the principle of X-ray scattering imaging to detect contraband inside an object. It is used in application scenarios where the imaging detector and the X-ray source are imaged on the same side. The core working principle of a handheld backscatter X-ray detection device: a fan-beam X-ray source emits a flying spot X-ray light spot through a high-speed rotating chopper wheel, and the detector panel synchronously receives the scattered signal of each flying spot light spot. Usually, the backscatter device will be equipped with a photoelectric counter-beam switch at the slit of the chopper wheel to determine the starting signal of each slit. The signal emitted from each slit is spliced ​​into a line, and the detection signal of each slit is spliced ​​in turn to form a scattered perspective image.

[0003] Existing X-ray backscatter imaging equipment usually does not group the chopper wheel gaps, and only uses methods such as improving processing accuracy or digital image post-processing to smooth and filter the images with horizontal stripes. Although this can weaken the impact of horizontal stripes, since there is no original grouping information of each stripe, only using methods such as digital smoothing cannot achieve a targeted good image processing effect.

[0004] In order to overcome these defects, the present application proposes an image correction method and device for a handheld backscatter X-ray imaging device. Summary of the invention

[0005] The purpose of this application is to provide an image correction method and device for a handheld backscattered X-ray imaging device, aiming to solve the above-mentioned problems.

[0006] To achieve the above objectives, this application provides the following technical solutions:

[0007] In a first aspect, the present application provides an image correction method for a handheld backscatter X-ray imaging device, which is applied to a handheld backscatter X-ray imaging device, wherein the handheld backscatter X-ray imaging device comprises: a fan beam X-ray source, a chopper wheel, a dual photoelectric switch, and a detector panel; the fan beam X-ray source is used to generate X-rays; the chopper wheel is arranged in front of the fan beam X-ray source, and has a plurality of slits for modulating X-rays; the dual photoelectric switch is used to mark the chopper wheel, the first photoelectric switch is used to record the start of each imaging line, and the second photoelectric switch is used to encode the slits on the chopper wheel; the detector panel is used to receive backscatter X-ray signals;

[0008] The image correction method of a handheld backscattered X-ray imaging device comprises:

[0009] Acquiring a scattered image by means of the handheld backscattered X-ray imaging device;

[0010] Based on grouping the gaps and performing weighted statistical averaging on a number of imaging lines generated by the gaps, a scattering mean signal is obtained;

[0011] Calibrate the scattered mean signal in the vertical direction and the horizontal direction to obtain a vertical calibration coefficient and a horizontal correction coefficient;

[0012] Image correction is performed on the scattered image according to the vertical calibration coefficient and the horizontal correction coefficient.

[0013] In a second aspect, the present application provides an image correction device for a handheld backscattered X-ray imaging device, comprising:

[0014] Image acquisition and processing module: acquiring a scattered image through the handheld backscattered X-ray imaging device; obtaining a scattered mean signal based on grouping the gaps and weighted statistical averaging of a number of imaging lines generated by the gaps;

[0015] Correction coefficient calculation module: calibrate the scattered mean signal in vertical and horizontal directions to obtain a vertical calibration coefficient and a horizontal correction coefficient;

[0016] Image correction module: performs image correction on the scattered image according to the vertical calibration coefficient and the horizontal correction coefficient.

[0017] In a third aspect, the present application provides a handheld backscatter X-ray imaging device, comprising a processor and a memory coupled to the processor, wherein the memory stores program instructions for implementing an image correction method for a handheld backscatter X-ray imaging device; and the processor is used to execute the program instructions stored in the memory to implement image correction for a handheld backscatter X-ray imaging device.

[0018] In a fourth aspect, the present application provides a storage medium storing program instructions executable by a processor, wherein the program instructions are used to execute an image correction method for a handheld backscatter X-ray imaging device.

[0019] The present application provides an image correction method and device for a handheld backscattered X-ray imaging device, which has the following beneficial effects:

[0020] (1) The use of dual photoelectric switches for chopper wheel marking enables accurate identification and grouping of each gap, providing the basic conditions for subsequent correction, so that the equipment can perform targeted correction processing for the inconsistency of each gap, thereby significantly improving the problem of uneven brightness of the image;

[0021] (2) Through weighted statistical averaging and curve fitting correction methods, the horizontal stripes and vertical brightness and darkness unevenness in the image are effectively smoothed, making the image clearer and more delicate, and improving the overall image quality and resolution;

[0022] (3) The method proposed in this application is not only applicable to handheld backscatter X-ray imaging devices, but can also be extended to other imaging devices. By correcting the inconsistency problem in the image, the applicability and reliability of the device are enhanced, so that the device can show excellent performance in various application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of an image correction method for a handheld backscattered X-ray imaging device according to Embodiment 1 of the present application;

[0024] Figure 2 A schematic diagram of a chopper wheel and its marking method according to Example 1 of the present application;

[0025] Figure 3 This is a schematic diagram of the imaging principle of the handheld backscatter X-ray imaging device of Example 1 of the present application;

[0026] Figure 4 This is a schematic diagram of the structure of an image correction device for a handheld backscattered X-ray imaging device according to Embodiment 1 of the present application;

[0027] Figure 5 This is a schematic structural diagram of a handheld backscatter X-ray imaging device according to Example 3 of the present application;

[0028] Figure 6 This is a schematic diagram of the storage medium structure of Example 4 of the present application. DETAILED DESCRIPTION

[0029] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0030] The following is an analysis of the solutions in the prior art in combination with related technologies.

[0031] See also Figure 2 , is a schematic diagram of the chopper wheel and its marking method of Example 1 of the present application. The slits of the chopper wheel are crucial to the resolution and image quality of backscatter imaging. The optimal theoretical slit width and shape can be obtained through simulation methods. However, in the actual processing process, since the chopper wheel material is usually a high-density, high-atomic-number alloy material, the actual processing accuracy is difficult to guarantee, the width and shape of the five slits cannot be completely consistent, and the intersection position angle of the same slit and the X-ray is also inconsistent. That is, the following problems exist:

[0032] (1) Inconsistency of chopper wheel gaps: The direction parallel to the slits is recorded as the horizontal direction. The inconsistency between the five slits causes uneven brightness of each line during imaging, resulting in a horizontal striped image.

[0033] (2) Deviation of the X-ray intersection angle: Deviation of the intersection angle between the same slit and the fan-shaped X-ray will cause different scattering signals for direct and oblique X-rays, resulting in uneven brightness, which is manifested in the image as a situation where the vertical brightness is bright in the middle and dark on both sides.

[0034] The present application uses dual photoelectric switches for chopper wheel marking, combined with weighted statistical averaging, vertical calibration and horizontal calibration methods, to effectively solve the problem of uneven image brightness caused by inconsistent chopper wheel gaps and X-ray intersection angle deviation in handheld backscatter X-ray imaging equipment, thereby improving image resolution and quality.

[0035] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0036] Example 1

[0037] See also Figure 1 , is a flow chart of an image correction method for a handheld backscattered X-ray imaging device according to Embodiment 1 of the present application. The specific steps include:

[0038] S1: Acquire a scattered image by using the handheld backscatter X-ray imaging device.

[0039] In this embodiment, a scatterer plug made of a thick polyethylene block is usually used because it has a strong scattering ability for X-rays. The scatterer plug is placed in the detection area of ​​the handheld backscattered X-ray imaging device. Then the device is started, so that the fan beam X-ray source shoots out a flying spot X-ray spot through a high-speed rotating chopper wheel, and the detector panel synchronously receives the scattering signal of each flying spot; the dual photoelectric switch records the gap information of the chopper wheel to ensure that the image can be accurately grouped and calibrated later; the scattering signal received by the detector panel is processed to form a scattering image.

[0040] S2: Based on the grouping of the gaps and the weighted statistical averaging of several imaging lines generated by the gaps, a scattering mean signal is obtained.

[0041] In this embodiment, several imaging lines obtained from the same slit are combined into {a, b} two-dimensional data, where a is a row and b is a column. The data of different rows and the same column are summed and divided by the number of rows to obtain scattering mean signals with different numbers. The scattering mean signal is represented by a two-dimensional array {x, y}, where x is the number of slits and y is the number of data points for each slit.

[0042] For example, if the total number of scan lines is 2000, then each slit will generate 400 lines. The 400 lines obtained from the same slit are combined into {a, b} two-dimensional data, where a represents 400 rows and b represents 200 columns. The sum of the data in different rows and the same column is divided by 400. For five slits, five mean arrays are obtained, namely the two-dimensional array {x, y}, where x represents 5 slits and y represents the number of data points for each slit, 200.

[0043] S3: Calibrate the scattered mean signal in the vertical direction and the horizontal direction to obtain a vertical calibration coefficient and a horizontal correction coefficient.

[0044] In this embodiment, the step of calibrating the scattered mean signal in the vertical direction and the horizontal direction to obtain the vertical calibration coefficient and the horizontal correction coefficient specifically includes steps S31 to S32, and each step is described in detail below.

[0045] S31: Use the least square method to perform quadratic curve fitting correction on the scattering mean signal of the gap to obtain the vertical calibration coefficient.

[0046] First, the scattered data of each gap is processed, and several line data of the same gap are weighted averaged according to the gap number to obtain the averaged single line data of each gap. The least squares method is used to fit the single line data to a quadratic curve to obtain the target curve equation; wherein the target curve equation is the curve with the minimum sum of the squares of the vertical distances from all data points to the curve. The specific expression is:

[0047]

[0048] Among them, S(a,b,c) is the sum of the squares of the vertical distances of all data points to the curve; y i is the actual intensity value of the ith data point; x i is the horizontal coordinate value of the single-line data; a, b, c are the fitting coefficients to be solved by the least squares method.

[0049] After completing the curve fitting, a correction vector is obtained, and the correction vector is used as a calibration compensation vector in the vertical direction to convert the original data points into calibrated data points.

[0050] For example, a curve fitting correction is performed on a curve of 200 points of single-line data to make it uniform in vertical intensity. A set of 200-dimensional correction vectors is recorded as the vertical calibration compensation vector (A 1 , A 2 ...A 200 ). The specific fitting method is: through observation and theory, it is known that the single-line curve shows a distribution of bright in the middle and dark on both sides. The least squares method is used to fit the quadratic curve. 1 ,y 2 ...y 200} is converted into 200 data points, with x being the horizontal axis value, ranging from 1 to 200: (1, y 1 ),(2,y 2 ), ...(200, y 200 ); Assume that the curve equation is y = aX 2 +bx+c, the curve equation found by fitting can minimize the sum of the squares of the vertical distances of all data points from the curve.

[0051] In order to obtain the minimum value, the partial derivatives of S with respect to a, b, and c are calculated and set to zero. Through the linear equation system, the values ​​of a, b, and c are obtained. Specifically:

[0052] The partial derivative is:

[0053]

[0054]

[0055] Simplifying the equation, we get:

[0056]

[0057] The above is a linear equation system with three unknowns a, b and c. The coefficients a, b and c are obtained by matrix inversion or other linear algebra methods. The quadratic curve is transformed into a horizontal straight line tangent to the vertex through vertical correction. The vertex coordinates are So the conversion factor of each point to a horizontal line is That is, all points are multiplied by this coefficient to complete the vertical calibration.

[0058] S32: performing weighted summing and averaging on the scattered mean value signal after vertical direction calibration to obtain a horizontal calibration coefficient.

[0059] The focus of horizontal calibration is to compensate for the processing error of the gap to ensure the consistency of the light flux. The specific compensation method is to perform weighted summing and averaging of the scattered mean signal after vertical calibration, normalize it to the signal of the maximum gap, and obtain the normalization coefficient; perform horizontal calibration on the signal of each gap according to the normalization coefficient.

[0060] For example: perform weighted summing and averaging of the 200 points of the five slits; each of the five slits has 200 points, the first 200 points are averaged as S1, the second is S2, and so on.

[0061] The obtained data is {S1, S2, S3, S4, S5}, which is normalized to the maximum value S1, and then five normalization coefficients {x1, x2, x3, x4, x5} are obtained, x1 = 1, x2 = (S1 / S2), x3 = S1 / S3, ..., x5 = S1 / S5.

[0062] S4: performing image correction on the scattered image according to the vertical calibration coefficient and the horizontal correction coefficient.

[0063] In this embodiment, after the device starts scanning, 200 data points of the first gap are obtained, which are recorded as {p1, p2, ..., p200}. The pixel value after calibration is The data points of the second seam {q1, q2, ..., q200}, the calibrated pixel values ​​are: And so on, the calibration of the entire scanned image is completed.

[0064] See also Figure 3 , which is a schematic diagram of the imaging principle of the handheld backscatter X-ray imaging device of Example 1 of the present application. The fan-shaped area is recorded as a reflective coating of the diffuse reflection sensor used to distinguish the gap grouping. The chopper wheel is also equipped with a reverse photoelectric switch for determining the start and end of the gap, and the diffuse reflection photoelectric switch is used for the gap grouping signal output.

[0065] Furthermore, an image correction method for a handheld backscatter X-ray imaging device is applied to the handheld backscatter X-ray imaging device, the handheld backscatter X-ray imaging device comprising: a fan beam X-ray source, a chopper wheel, a dual photoelectric switch, and a detector panel; the fan beam X-ray source is used to generate X-rays; the chopper wheel is arranged in front of the fan beam X-ray source, and has a plurality of slits for modulating X-rays; the dual photoelectric switch is used to mark the chopper wheel, the first photoelectric switch is used to record the beginning of each imaging line, and the second photoelectric switch is used to encode the slits on the chopper wheel; the detector panel is used to receive backscatter X-ray signals.

[0066] In one embodiment, a handheld backscatter X-ray imaging device includes a fan beam X-ray source, a chopper wheel, a dual photoelectric switch, and a detector panel. The fan beam X-ray source generates flying spot X-ray spots through a high-speed rotating chopper wheel, and these spots can penetrate an object and scatter inside it. The chopper wheel is a key component of the device, and a number of slits are opened on it for modulating the emission of X-rays. During the rotation process, these slits allow the X-rays to be sequentially irradiated onto the object in the form of flying spots, thereby realizing the scanning of the entire object. The detector panel is used to receive the X-ray signal scattered back by the object, and after the signal is converted and processed, a backscatter perspective image of the object can be formed. In addition, a dual photoelectric switch is also used for chopper wheel marking, one anti-reflection photoelectric switch is used to record the beginning of a line, and one diffuse reflection switch is used to realize the encoding of the gap. A reflective coating is sprayed between the two gaps on the chopper wheel, and the gaps behind the reflective coating along the rotation direction begin to be numbered; after the gap grouping is obtained, the basic conditions for correcting the inconsistency between the gaps are met.

[0067] The handheld backscattered X-ray imaging device proposed in this application is suitable for a variety of application scenarios, such as security inspections in public places such as airports and stations, and monitoring of cargo transportation, etc. Its portability and high-precision imaging capabilities enable the device to perform efficient and accurate detection work in various complex environments.

[0068] In summary, the image correction method for a handheld backscattered X-ray imaging device proposed in this embodiment 1 is mainly aimed at correcting the uneven brightness of the image caused by the inconsistent gap of the chopper wheel. First, a dual photoelectric switch is used to mark the chopper wheel, one photoelectric switch records the beginning of a line, and one diffuse reflection switch realizes the encoding of the gap, and the gap is numbered to provide basic conditions for subsequent correction. Use a scatterer plug, such as a thick polyethylene block, to obtain a scattered image for image correction. Then, the multiple lines of each slit are weighted and statistically averaged according to the slit number to obtain the scattered mean signal with different numbers. Then perform vertical calibration, sum the array of each slit, obtain the averaged single-line data, and use the least squares method to fit the quadratic curve; after completing the vertical calibration, perform horizontal calibration to compensate for the processing error of the gap and ensure the consistency of the light flux. Finally, after obtaining the vertical calibration coefficient and the horizontal correction coefficient, you can start to calibrate the scanned image, so as to solve the problem of horizontal stripes and uneven brightness of the image.

[0069] Example 2

[0070] See also Figure 4 , which is a structural schematic diagram of an image correction device for a handheld backscattered X-ray imaging device according to Embodiment 2 of the present application; the specific contents include:

[0071] Image acquisition and processing module: acquiring a scattered image through the handheld backscattered X-ray imaging device; obtaining a scattered mean signal based on grouping the gaps and weighted statistical averaging of a number of imaging lines generated by the gaps;

[0072] Correction coefficient calculation module: calibrate the scattered mean signal in vertical and horizontal directions to obtain a vertical calibration coefficient and a horizontal correction coefficient;

[0073] Image correction module: performs image correction on the scattered image according to the vertical calibration coefficient and the horizontal correction coefficient.

[0074] In this embodiment, the image correction device includes a handheld backscatter X-ray imaging device. In the handheld backscatter X-ray imaging device, a chopper wheel is installed on the handheld backscatter X-ray imaging device, and a counter-reflection photoelectric switch and a diffuse reflection photoelectric switch are installed; a reflective coating is sprayed on the chopper wheel, and the gaps are numbered, and a scattering plug is used to obtain a scattering image. The image is processed by the image acquisition and processing module to obtain a scattering mean signal. The correction coefficient calculation module is used to calibrate the scattering mean signal in the vertical and horizontal directions, and finally the calibration of the entire scanned image is completed by the image correction module.

[0075] In summary, the image correction device proposed in this embodiment 2 effectively improves the uneven brightness and horizontal stripe defects of the image, and improves the image quality; at the same time, it is also suitable for various handheld backscatter X-ray imaging devices and has wide applicability.

[0076] Example 3

[0077] See also Figure 5 , is a schematic diagram of the structure of a handheld backscatter X-ray imaging device according to Embodiment 3 of the present application. The device 50 includes a processor 51 and a memory 52 coupled to the processor 51 .

[0078] The memory 52 stores program instructions for implementing the above-mentioned image correction method for the handheld backscatter X-ray imaging device.

[0079] The processor 51 is used to execute program instructions stored in the memory 52 to implement image correction of a handheld backscatter X-ray imaging device.

[0080] The processor 51 may also be referred to as a CPU (Central Processing Unit).

[0081] The processor 51 may be an integrated circuit chip with signal processing capabilities. The processor 51 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0082] Example 4

[0083] See also Figure 6 , which is a schematic diagram of the structure of the storage medium of Example 4 of the present application. The storage medium of the embodiment of the present application stores a program file 61 that can implement all the above methods, wherein the program file 61 can be stored in the above storage medium in the form of a software product, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned 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), a random access memory (RAM), a magnetic disk or an optical disk, or a computer, a server, a mobile phone, a tablet, and other devices.

[0084] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0085] The above description is only a preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly used in other related technical fields, are also included in the patent protection scope of the present application.

[0086] Although the embodiments of the present application have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present application, and that the scope of the present application is defined by the appended claims and their equivalents.

[0087] Of course, the present invention may have many other implementations. Based on this implementation, other implementations obtained by ordinary technicians in this field without any creative work are all within the scope of protection of the present invention.

Claims

1. An image correction method for a handheld backscattered X-ray imaging device, characterized in that: Applied to a handheld backscatter X-ray imaging device, the handheld backscatter X-ray imaging device comprises: a fan beam X-ray source, a chopper wheel, a dual photoelectric switch, and a detector panel; the fan beam X-ray source is used to generate X-rays; the chopper wheel is arranged in front of the fan beam X-ray source, and has a plurality of slits for modulating X-rays; the dual photoelectric switch is used to mark the chopper wheel, the first photoelectric switch is used to record the start of each imaging line, and the second photoelectric switch is used to encode the slits on the chopper wheel; the detector panel is used to receive backscatter X-ray signals; The image correction method of a handheld backscattered X-ray imaging device comprises: Acquiring a scattered image by means of the handheld backscattered X-ray imaging device; Based on grouping the gaps and performing weighted statistical averaging on a number of imaging lines generated by the gaps, a scattering mean signal is obtained; Calibrate the scattered mean signal in the vertical direction and the horizontal direction to obtain a vertical calibration coefficient and a horizontal correction coefficient; Image correction is performed on the scattered image according to the vertical calibration coefficient and the horizontal correction coefficient.

2. The image correction method of a handheld backscattered X-ray imaging device according to claim 1, characterized in that: The step of obtaining a scattering mean signal based on grouping the gaps and performing weighted statistical averaging on a plurality of imaging lines generated by the gaps specifically includes the following steps: Combine several imaging lines obtained from the same slit into {a, b} two-dimensional data, where a is the row and b is the column; The data of different rows and the same column are summed and divided by the number of rows to obtain the scattered mean signals with different numbers; The scattering mean signal is represented as a two-dimensional array {x, y}, where x is the number of gaps and y is the number of data points for each gap.

3. The image correction method of a handheld backscattered X-ray imaging device according to claim 2, characterized in that: The step of calibrating the scattered mean signal in the vertical direction and the horizontal direction to obtain the vertical calibration coefficient and the horizontal correction coefficient specifically includes the following steps: The least square method is used to perform quadratic curve fitting correction on the scattering mean signal of the gap to obtain the vertical calibration coefficient; The scattered mean signal after vertical calibration is weighted and averaged to obtain the horizontal calibration coefficient.

4. The image correction method of a handheld backscattered X-ray imaging device according to claim 3, characterized in that: The step of using the least square method to perform quadratic curve fitting correction on the scattered mean signal of the gap to obtain the vertical direction calibration coefficient specifically includes the following steps: The scattered data of each slit is processed, and several line data of the same slit are weighted averaged according to the slit number to obtain the averaged single line data of each slit; The single-line data is fitted with a quadratic curve using the least square method to obtain a target curve equation; wherein the target curve equation is a curve with the minimum sum of the squares of the vertical distances from all data points to the curve; After completing the curve fitting, a correction vector is obtained, and the correction vector is used as a calibration compensation vector in the vertical direction to convert the original data points into calibrated data points.

5. The image correction method for a handheld backscattered X-ray imaging device according to claim 3, characterized in that: The step of performing weighted summing and averaging on the scattered mean signal after vertical direction calibration to obtain the horizontal calibration coefficient specifically includes the following steps: The scattered mean signal after vertical calibration is weighted and averaged, normalized to the signal of the maximum gap, and the normalization coefficient is obtained; The signal of each slit is calibrated horizontally according to the normalization coefficient.

6. A device for image correction method of a handheld backscattered X-ray imaging device according to any one of claims 1 to 5, characterized in that: include: Image acquisition and processing module: acquiring a scattered image through the handheld backscattered X-ray imaging device; obtaining a scattered mean signal based on grouping the gaps and weighted statistical averaging of a number of imaging lines generated by the gaps; Correction coefficient calculation module: calibrate the scattered mean signal in vertical and horizontal directions to obtain a vertical calibration coefficient and a horizontal correction coefficient; Image correction module: performs image correction on the scattered image according to the vertical calibration coefficient and the horizontal correction coefficient.

7. A handheld backscattered X-ray imaging device, characterized in that: The device includes a processor and a memory coupled to the processor, wherein the memory stores program instructions for implementing an image correction method for a handheld backscatter X-ray imaging device as described in any one of claims 1 to 5; and the processor is used to execute the program instructions stored in the memory to implement image correction for a handheld backscatter X-ray imaging device.

8. A storage medium, characterized in that: Program instructions executable by a processor are stored, and the program instructions are used to execute the image correction method for a handheld backscatter X-ray imaging device as described in any one of claims 1 to 5.

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