Analysis system based on X-ray imaging

Abstract

The invention relates to an analysis system, in particular to an analysis system based on X-ray imaging, and the system comprises a control unit which comprises a data obtaining module which is used for obtaining an original image of a to-be-detected target received by a receiving plate; the data analysis module is connected with the data acquisition module and is used for determining a fuzzy region of the original image so as to extract features of the fuzzy region and determine an offset direction and an offset distance of the features; the data processing module is connected with the data analysis module and is used for determining an inclined receiving plate based on the offset direction and the offset distance so as to shoot an offset image of the to-be-detected target; and the data comparison module is connected with the data acquisition module and is used for determining the imaging qualification of the to-be-detected target based on the feature gray value of the restored offset image. According to the invention, the accuracy and precision of X-ray imaging analysis by the X-ray imaging analysis system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of X-ray imaging, and in particular to an analysis system based on X-ray imaging. Background Art

[0002] X-ray imaging technology is based on the penetrability of X-rays and uses the differences in the absorption capacity of different tissues to form images. When X-rays pass through the human body, the differences in density and thickness of different tissues cause different degrees of ray attenuation, thus forming a contrast image on the imaging medium. The urgent and changing rescue environment requires medical equipment to have high efficiency, high stability and rapid diagnosis capabilities.

[0003] Chinese patent application publication number: CN101301204A discloses an X-ray imaging system, including a radiographing device having an X-ray irradiator and an X-ray receiver, an optical radiographing device for acquiring an optical image of an object, a determining device for analyzing the optical image and determining the body characteristics of the object, and a positioning device for positioning the X-ray irradiator and the X-ray receiver of the radiographing device based on the determined body characteristics and the part of the object to be radiographed. However, there are the following problems in the prior art: the system does not adequately analyze X-ray imaging, resulting in low accuracy and low precision of X-ray imaging analysis. Summary of the invention

[0004] To this end, the present invention provides an analysis system based on X-ray imaging to overcome the problems of low accuracy and low precision of X-ray imaging analysis in the prior art X-ray imaging analysis system.

[0005] To achieve the above object, the present invention provides an analysis system based on X-ray imaging, comprising:

[0006] An emitting plate, comprising an X-ray tube disposed in the middle of the emitting plate for emitting X-rays;

[0007] A receiving plate, which is used to receive the X-rays emitted by the X-ray tube;

[0008] A connecting mechanism, comprising a connecting shaft provided at one end of the receiving plate and connected to the connecting plate, supporting rods provided at both ends of the connecting shaft and used to connect the receiving plate and the launching plate, and a connecting rod provided at an end of the launching plate close to the supporting rod and connected to the supporting rod;

[0009] A driving mechanism, comprising a driving motor disposed at one end of the connecting rod close to the receiving plate and used to drive the receiving plate to reciprocate along the axial direction of the connecting shaft;

[0010] A control unit comprising:

[0011] A data acquisition module, which is used to acquire the original image of the target to be detected received by the receiving plate;

[0012] A data analysis module, which is connected to the data acquisition module, is used to determine the square area division of the original image based on the edge gray value, and determine the eligibility of dividing the square area into the fuzzy area according to the fuzzy protruding edge evaluation value of the fuzzy area, and under the condition that the square area is divided into the fuzzy area, determine the eligibility of the fuzzy area feature according to the comparison result of the feature gray value and the preset feature gray value;

[0013] A data processing module connected to the data analysis module is used to determine an offset strategy of the fuzzy area feature according to the fuzzy area feature parameters under the condition that the fuzzy area feature is unqualified, wherein the offset strategy includes determining an offset direction and an offset distance of the fuzzy area feature;

[0014] A data comparison module is connected to the data acquisition module and is used to determine the eligibility of the imaging of the target to be detected based on the comparison result of the characteristic grayscale value of the offset image and the characteristic grayscale value of the fuzzy area feature corresponding to the original image under the condition of restoring the offset image.

[0015] Furthermore, the data analysis module determines that the area is a fuzzy area based on a comparison result that the edge grayscale value is less than or equal to a preset edge grayscale value, under the condition that the data acquisition module acquires the original image.

[0016] Furthermore, the data analysis module determines that the region is qualified as a fuzzy region based on a comparison result that the fuzzy protruding edge evaluation value of the fuzzy region is less than or equal to a preset fuzzy protruding edge evaluation value under the condition that the region is determined to be a fuzzy region.

[0017] Furthermore, the data analysis module determines that the fuzzy area feature is unqualified based on a comparison result that the feature grayscale value is greater than a preset feature grayscale value, under the condition that the area is determined to be qualified for classification as a fuzzy area.

[0018] Furthermore, under the condition that the blurred area feature is determined to be unqualified, the data processing module determines to offset the blurred area feature to the top of the blurred area center point relative to the receiving plate based on the comparison result that the feature edge evaluation value is less than or equal to the preset feature edge evaluation value, and determines the offset distance of the blurred area feature according to the difference between the feature trajectory smoothness evaluation value and the preset feature trajectory smoothness evaluation value.

[0019] Furthermore, under the condition that the blurred area feature is determined to be unqualified, the data processing module determines to offset the blurred area feature to the bottom of the blurred area center point relative to the receiving plate based on the comparison result that the feature edge evaluation value is greater than the preset feature edge evaluation value, and determines the blurred area feature offset distance according to the difference between the feature trajectory smoothness evaluation value and the preset feature trajectory smoothness evaluation value.

[0020] Furthermore, the data processing module determines the angle at which the receiving plate is tilted directly above the horizontal plane of the receiving plate based on the offset direction and the offset distance under the condition of determining the offset direction and the offset distance of the blurred area feature.

[0021] Furthermore, the data processing module determines the angle at which the receiving plate is tilted directly below the horizontal plane of the receiving plate based on the offset direction and the offset distance under the condition of determining the offset direction and the offset distance of the blurred area feature.

[0022] Furthermore, the data acquisition module obtains the offset image of the receiving plate at this time under the condition of determining the tilt direction and tilt angle of the receiving plate, and transforms the offset image according to the transformation matrix calculated based on the feature points on the offset image corresponding to the blurred area features of the original image, and restores it to a position that is exactly the same as the blurred area features of the original image.

[0023] Furthermore, the data comparison module determines the passivity of the target to be detected based on the comparison result that the characteristic grayscale value of the offset image is greater than the characteristic grayscale value of the fuzzy area feature corresponding to the original image, under the condition that the offset image is restored.

[0024] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention divides the image area into two categories, clear and blurred, by shooting the original image at a specific angle and comparing the edge grayscale value with the preset value, and further evaluates the qualification of the blurred area by comparing the blurred protruding edge evaluation value with the preset value, thereby improving the accuracy and reliability of the evaluation result, thereby improving the accuracy of X-ray imaging analysis.

[0025] Furthermore, the present invention evaluates the qualification of the blurred area features by comparing the feature grayscale value with the preset value on the basis of the blurred area being qualified; for the unqualified case, the offset direction of the blurred area features is determined by comparing the feature edge evaluation value with the preset value, thereby improving the targetedness and efficiency of image processing, thereby improving the accuracy and efficiency of imaging analysis.

[0026] Furthermore, the present invention determines the offset distance range of the blurred area feature by comparing the feature trajectory evaluation value with the preset value, and further calculates the offset distance based on the difference between the two, thereby enhancing the processing accuracy, improving the flexibility of image processing, and improving the accuracy of X-ray imaging analysis.

[0027] Furthermore, the present invention determines the tilt adjustment scheme of the receiving mechanism through the offset information of the blurred area features. The data acquisition module obtains the offset image after the receiving mechanism is adjusted into place, and corrects the offset image to align with the blurred area features of the original image through feature point matching, thereby improving the accuracy of image processing, improving image quality, and improving the efficiency of the image processing process, thereby improving the accuracy and efficiency of imaging analysis.

[0028] Furthermore, the present invention evaluates whether the imaging of the target to be detected is qualified by comparing the characteristic grayscale values ​​of the offset image and the original image in the blurred area, accurately reflects the change in clarity of the image after improvement in the blurred area, and ensures continuous improvement of image quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the structure of an analysis system based on X-ray imaging according to an embodiment of the present invention;

[0030] Figure 2 This is a schematic diagram of module connection in an embodiment of the present invention;

[0031] Figure 3 A flow chart for determining the eligibility of a fuzzy region according to an embodiment of the present invention;

[0032] Figure 4 A flow chart for determining the eligibility of fuzzy region features according to an embodiment of the present invention.

[0033] In the figure, 1, transmitting plate; 2, receiving plate; 101, X-ray tube; 102, connecting shaft; 103, supporting rod; 104, connecting rod; 105, driving motor. DETAILED DESCRIPTION

[0034] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0035] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0036] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0037] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0038] See also Figure 1 - Figure 4 As shown, Figure 1 It is a structural schematic diagram of an analysis system based on X-ray imaging according to an embodiment of the present invention; Figure 2 This is a schematic diagram of module connection in an embodiment of the present invention; Figure 3 A flow chart for determining the eligibility of a fuzzy region according to an embodiment of the present invention; Figure 4 A flow chart for determining the eligibility of fuzzy region features according to an embodiment of the present invention.

[0039] The analysis system based on X-ray imaging according to the embodiment of the present invention comprises:

[0040] An emitting plate, comprising an X-ray tube 101 disposed in the middle of the emitting plate for emitting X-rays;

[0041] A receiving plate, which is used to receive X-rays emitted by the X-ray tube 101;

[0042] A connecting mechanism, comprising a connecting shaft 102 provided at one end of the receiving plate and connected to the connecting plate, a supporting rod 103 provided at both ends of the connecting shaft and used to connect the receiving plate and the launching plate, and a connecting rod 104 provided at an end of the launching plate close to the supporting rod and connected to the supporting rod;

[0043] A driving mechanism, comprising a driving motor 105 disposed at one end of the connecting rod close to the receiving plate and used to drive the receiving plate to reciprocate along the axial direction of the connecting shaft;

[0044] A control unit comprising:

[0045] A data acquisition module, which is used to acquire the original image of the target to be detected received by the receiving plate;

[0046] A data analysis module, connected to the data acquisition module, for determining the blurred area of ​​the original image, extracting the features of the blurred area and determining the offset direction and offset distance of the features;

[0047] A data processing module connected to the data analysis module, for determining the tilting of the receiving plate based on the offset direction and the offset distance to capture an offset image of the target to be detected;

[0048] A data comparison module is connected to the data acquisition module and is used to determine the imaging eligibility of the target to be detected based on the characteristic grayscale value of the restored offset image.

[0049] Wherein, the connecting shaft and the supporting rod are movably connected, and the supporting rod and the connecting rod are movably connected.

[0050] Specifically, the data acquisition module acquires the original film image when the target to be detected and the receiving plate are in a parallel state, wherein the parallel state means that both the target to be detected and the receiving plate are parallel to the ground.

[0051] Specifically, the data analysis module divides the original film image into a number of square areas with a length and width of 1 mm×1 mm.

[0052] Specifically, the data analysis module is used to determine the square area division of the original image according to the comparison result of the edge gray value of the original image and the preset edge gray value 55;

[0053] If the edge gray value is less than or equal to the preset edge gray value, the square area is determined to be a fuzzy area;

[0054] If the edge gray value is greater than the preset edge gray value, the square area is determined to be a clear area.

[0055] In the embodiment of the present invention, the preset edge gray value is 55, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0056] Specifically, the edge grayscale value is the ratio of the square of the grayscale values ​​of a number of pixels in the horizontal direction to the sum of the square of the grayscale values ​​of a number of pixels in the horizontal direction and the number of pixels.

[0057] Specifically, the data analysis module determines the eligibility of the square area to be divided into the fuzzy area according to the comparison result between the fuzzy protruding edge evaluation value of the fuzzy area and the preset fuzzy protruding edge evaluation value of 0.84 under the condition that the square area is determined to be the fuzzy area.

[0058] If the fuzzy protruding edge evaluation value is less than or equal to the preset fuzzy protruding edge evaluation value, it is determined that the square area is qualified to be divided into a fuzzy area;

[0059] If the fuzzy protruding edge evaluation value is greater than the preset fuzzy protruding edge evaluation value, it is determined that the square area is not qualified for classification as a fuzzy area.

[0060] In the embodiment of the present invention, the preset fuzzy protruding edge evaluation value is 0.84. The preset fuzzy protruding edge evaluation value is obtained by taking the average of the fuzzy protruding edge evaluation values ​​of several historical qualified fuzzy areas, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0061] Specifically, the fuzzy highlighted edge evaluation value is the ratio of the sum of the pixel gradient strengths at the edge of the fuzzy region to the number of pixels at the edge of the fuzzy region multiplied by the standard deviation of the pixel gradient strengths at the edge of the fuzzy region.

[0062] In the embodiment of the present invention, the gradient intensity is the rate at which the grayscale value at a certain pixel point in the blurred area changes.

[0063] Specifically, the present invention divides the image area into two categories, clear and blurred, by shooting the original image at a specific angle and comparing the edge grayscale value with a preset value. The qualification of the blurred area is further evaluated by comparing the blurred protruding edge evaluation value with a preset value, thereby improving the accuracy and reliability of the evaluation result, thereby improving the accuracy of X-ray imaging analysis.

[0064] Specifically, the data analysis module determines the eligibility of the fuzzy area feature according to the comparison result between the feature gray value and the preset feature gray value 30 under the condition that the square area is determined to be qualified as the fuzzy area;

[0065] If the characteristic grayscale value is less than or equal to the preset characteristic grayscale value, it is determined that the fuzzy area feature is qualified;

[0066] If the characteristic grayscale value is greater than the preset characteristic grayscale value, it is determined that the fuzzy area feature is unqualified.

[0067] In the embodiment of the present invention, the preset feature grayscale value is 30, and the preset feature grayscale value is obtained by taking the average value of the feature grayscale values ​​of the historical qualified fuzzy area features, but the above value is not limited to this, and technical personnel in this field can also adjust the value according to actual needs.

[0068] Specifically, the characteristic grayscale value is the ratio of the sum of the squares of the grayscale values ​​of a number of characteristic points in the horizontal direction and the squares of the grayscale values ​​of a number of characteristic points in the vertical direction to the number of characteristic points of the fuzzy area feature.

[0069] In the embodiment of the present invention, the feature point is a point in the fuzzy area whose feature grayscale value is not 0.

[0070] Specifically, the data processing module determines the offset direction of the fuzzy area feature according to the comparison result between the feature edge evaluation value and the preset feature edge evaluation value 0.72 under the condition that the fuzzy area feature is determined to be unqualified;

[0071] If the feature edge evaluation value is less than or equal to the preset feature edge evaluation value, determining to shift the fuzzy area feature toward the center point of the fuzzy area directly above the receiving plate;

[0072] If the feature edge evaluation value is greater than the preset feature edge evaluation value, determining to shift the fuzzy area feature toward the center point of the fuzzy area directly below the receiving plate;

[0073] The center point of the fuzzy area is the geometric center point of the fuzzy area, which is obtained by calculating the average value of the coordinates of all points on the boundary of the fuzzy area.

[0074] In the embodiment of the present invention, the preset feature edge evaluation value is 0.72, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0075] Specifically, the feature edge evaluation value is the ratio of the difference between the pixel values ​​on both sides of a number of feature points and the standard deviation of the gradient strength of a number of feature points multiplied by the number of feature points of the fuzzy area feature.

[0076] Specifically, the present invention further evaluates the qualification of the blurred area features by comparing the feature grayscale value with the preset value on the basis of the blurred area being qualified; for the unqualified case, the offset direction of the blurred area features is determined by comparing the feature edge evaluation value with the preset value, thereby improving the pertinence and efficiency of image processing, thereby improving the accuracy and efficiency of imaging analysis.

[0077] Specifically, the data processing module determines the offset distance range of the fuzzy area feature according to the comparison result of the feature trajectory smoothness evaluation value and the preset feature trajectory smoothness evaluation value of 0.78 under the condition that the fuzzy area feature is determined to be unqualified;

[0078] If the feature trajectory smoothness evaluation value is less than or equal to the preset feature trajectory smoothness evaluation value, then determining that the offset distance range of the fuzzy area feature is 1-5 mm;

[0079] If the feature trajectory smoothness evaluation value is greater than the preset feature trajectory smoothness evaluation value, the offset distance of the fuzzy area feature is determined to be 5-10 mm.

[0080] In the embodiment of the present invention, the preset characteristic trajectory smoothness evaluation value is 0.78, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0081] Specifically, the feature track smoothness evaluation value is the ratio of the average value of the distance between two adjacent feature points of the feature track to the standard deviation of the distance between two adjacent feature points of the feature track plus 1.

[0082] Specifically, the offset distance of the fuzzy area feature is the root of the ratio of the result of subtracting the preset feature trajectory smoothness evaluation value from the feature trajectory smoothness evaluation value and the preset feature trajectory smoothness evaluation value.

[0083] Specifically, the present invention determines the offset distance range of the blurred area feature by comparing the feature trajectory smoothness evaluation value with a preset value, and further calculates the offset distance based on the difference between the two, thereby enhancing the processing accuracy, improving the flexibility of image processing, and improving the accuracy of X-ray imaging analysis.

[0084] Specifically, the data processing module determines the tilt direction and tilt angle of the receiving plate according to the offset direction and offset distance of the blurred area feature, and the tilt direction and tilt angle of the receiving plate are positively correlated with the offset direction and offset distance of the blurred area feature. If it is determined that the blurred area feature is offset toward the center point of the blurred area relative to the upper side of the receiving plate and the offset is a determined offset distance, then it is determined that the receiving plate is tilted toward the upper side of the horizontal plane of the receiving plate and the tilt angle is corresponding; if it is determined that the blurred area feature is offset toward the lower side of the blurred area relative to the center point of the blurred area relative to the receiving plate and the offset is a determined offset distance, then it is determined that the receiving plate is tilted toward the lower side of the horizontal plane of the receiving plate and the tilt angle is corresponding, wherein the angle is the cosine of the angle between the distance of the blurred area feature of the receiving plate after being mapped to the horizontal receiving plate relative to the origin of the horizontal receiving plate and the distance of the blurred area feature of the receiving plate relative to the origin of the tilted receiving plate.

[0085] Specifically, the data acquisition module obtains the offset image of the receiving plate at this time under the condition of determining the tilt direction and tilt angle of the receiving plate, finds the feature points on the offset image corresponding to the blurred area features of the original image through feature matching, transforms the offset image according to the transformation matrix calculated according to the feature points, and restores it to a position that is exactly the same as the blurred area features of the original image, wherein feature matching is a process of finding corresponding matching point pairs by comparing the similarities of feature points in different images, and the transformation matrix is ​​the transformation relationship of an image from one coordinate system to another.

[0086] Specifically, the present invention determines the tilt adjustment scheme of the receiving plate through the offset information of the blurred area features. The data acquisition module obtains the offset image after the receiving plate is adjusted into place, and corrects the offset image to align with the blurred area features of the original image through feature point matching, thereby improving the accuracy of image processing, improving image quality, and improving the efficiency of the image processing process, thereby improving the accuracy and efficiency of imaging analysis.

[0087] Specifically, the data comparison module determines the eligibility of the imaging of the target to be detected based on the comparison result of the characteristic grayscale value of the offset image and the characteristic grayscale value of the fuzzy area feature corresponding to the original image under the condition of restoring the offset image;

[0088] If the characteristic grayscale value of the offset image is less than or equal to the characteristic grayscale value of the fuzzy area feature corresponding to the original image, it is determined that the imaging of the target to be detected is unqualified;

[0089] If the characteristic grayscale value of the offset image is greater than the characteristic grayscale value of the fuzzy area feature corresponding to the original image, it is determined that the imaging of the target to be detected is qualified.

[0090] Specifically, the feature grayscale value is the ratio of the sum of the squares of the grayscale values ​​of several feature points in the horizontal direction of the offset image and the squares of the grayscale values ​​of several feature points in the vertical direction of the offset image to the number of feature points in the offset image. The feature points of the offset image are one-to-one corresponding to the feature points of the blurred area features, and the number of feature points of the offset image is equal to the number of feature points of the blurred area features.

[0091] Specifically, the present invention evaluates whether the imaging of the target to be detected is qualified by comparing the characteristic grayscale values ​​of the offset image and the original image in the blurred area, accurately reflects the change in clarity of the image after improvement in the blurred area, and ensures the continuous improvement of image quality.

[0092] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0093] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An analysis system based on X-ray imaging, characterized in that: include: An emitting plate, comprising an X-ray tube disposed in the middle of the emitting plate for emitting X-rays; A receiving plate, used for receiving X-rays emitted by the X-ray tube; A connecting mechanism, comprising a connecting shaft provided at one end of the receiving plate and connected to the connecting plate, supporting rods provided at both ends of the connecting shaft and used to connect the receiving plate and the launching plate, and a connecting rod provided at an end of the launching plate close to the supporting rod and connected to the supporting rod; A driving mechanism, comprising a driving motor disposed at one end of the connecting rod close to the receiving plate and used to drive the receiving plate to reciprocate along the axial direction of the connecting shaft; A control unit comprising: A data acquisition module, which is used to acquire the original image of the target to be detected received by the receiving plate; A data analysis module, which is connected to the data acquisition module, is used to determine the square area division of the original image based on the edge gray value, and determine the eligibility of dividing the square area into the fuzzy area according to the fuzzy protruding edge evaluation value of the fuzzy area, and under the condition that the square area is divided into the fuzzy area, determine the eligibility of the fuzzy area feature according to the comparison result of the feature gray value and the preset feature gray value; A data processing module connected to the data analysis module is used to determine an offset strategy of the fuzzy area feature according to the fuzzy area feature parameters under the condition that the fuzzy area feature is unqualified, wherein the offset strategy includes determining an offset direction and an offset distance of the fuzzy area feature; A data comparison module is connected to the data acquisition module and is used to determine the eligibility of the imaging of the target to be detected based on the comparison result of the characteristic grayscale value of the offset image and the characteristic grayscale value of the fuzzy area feature corresponding to the original image under the condition of restoring the offset image.

2. The X-ray imaging-based analysis system according to claim 1, characterized in that: The data analysis module determines that the area is a fuzzy area based on a comparison result that the edge gray value is less than or equal to a preset edge gray value under the condition that the data acquisition module acquires the original image.

3. The X-ray imaging-based analysis system according to claim 2, characterized in that: The data analysis module determines that the region is classified as a fuzzy region based on a comparison result that the fuzzy protruding edge evaluation value of the fuzzy region is less than or equal to a preset fuzzy protruding edge evaluation value, under the condition that the region is determined to be a fuzzy region.

4. The X-ray imaging-based analysis system according to claim 3, characterized in that: The data analysis module determines that the fuzzy area feature is unqualified based on the comparison result that the feature grayscale value is greater than the preset feature grayscale value, under the condition that the region is determined to be qualified for classification as a fuzzy area.

5. The X-ray imaging-based analysis system according to claim 4, characterized in that: The data processing module determines, under the condition that the blurred area feature is determined to be unqualified, that the blurred area feature is offset to the top of the blurred area center point relative to the receiving plate based on the comparison result that the feature edge evaluation value is less than or equal to the preset feature edge evaluation value, and determines the offset distance of the blurred area feature according to the difference between the feature trajectory smoothness evaluation value and the preset feature trajectory smoothness evaluation value.

6. The X-ray imaging-based analysis system according to claim 4, characterized in that: The data processing module determines, under the condition that the blurred area feature is determined to be unqualified, that the blurred area feature is offset to the bottom of the blurred area center point relative to the receiving plate based on the comparison result that the feature edge evaluation value is greater than the preset feature edge evaluation value, and determines the blurred area feature offset distance according to the difference between the feature trajectory smoothness evaluation value and the preset feature trajectory smoothness evaluation value.

7. The X-ray imaging-based analysis system according to claim 5, characterized in that: The data processing module determines the angle at which the receiving plate is tilted relative to the horizontal plane of the receiving plate based on the offset direction and the offset distance under the condition of determining the offset direction and the offset distance of the blurred area feature.

8. The X-ray imaging-based analysis system according to claim 6, characterized in that: The data processing module determines the angle at which the receiving plate is tilted directly below the horizontal plane of the receiving plate based on the offset direction and the offset distance under the condition of determining the offset direction and the offset distance of the blurred area feature.

9. The X-ray imaging-based analysis system according to claim 8, characterized in that: The data acquisition module obtains the offset image of the receiving plate at this time under the condition of determining the tilt direction and tilt angle of the receiving plate, and transforms the offset image according to the transformation matrix calculated based on the feature points on the offset image corresponding to the blurred area features of the original image, and restores it to a position that is exactly the same as the blurred area features of the original image.

10. The X-ray imaging-based analysis system according to claim 9, characterized in that: The data comparison module determines whether the target to be detected is qualified based on the comparison result that the characteristic grayscale value of the offset image is greater than the characteristic grayscale value of the fuzzy area feature corresponding to the original image, under the condition that the offset image is restored.

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