X-ray imaging-based analysis system

Abstract

The present invention relates to an analysis system, and particularly to an analysis system based on X-ray imaging. The system includes a control unit, which comprises: a data acquisition module for acquiring a raw image of a target to be detected received by a receiving plate; a data analysis module connected to the data acquisition module for determining a blurred area of the raw image, extracting features of the blurred area and determining the offset direction and offset distance of the features; a data processing module connected to the data analysis module for determining an inclined receiving plate to capture an offset image of the target to be detected based on the offset direction and offset distance; and a data comparison module connected to the data acquisition module for determining the imaging qualification of the target to be detected based on the characteristic gray value of the restored offset image. The present invention improves the accuracy and precision of X-ray imaging analysis by the X-ray imaging analysis system.

Description

Technical Field

[0001] The present invention relates to the field of X-ray imaging technology, and particularly 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 capabilities of different tissues for X-rays to form images. When X-rays pass through the human body, due to the differences in the densities and thicknesses of different tissues, the degree of attenuation of the rays is different, thus forming a contrast image on the imaging medium. The urgent and changeable treatment environment requires medical equipment to have the capabilities of high efficiency, high stability, and rapid diagnosis.

[0003] Chinese Patent Application Publication No.: CN101301204A discloses an X-ray imaging system, including a device for taking X-ray photographs with an X-ray irradiator and an X-ray receiver, a device for taking optical X-ray photographs for obtaining an optical image of an object, a determining device for analyzing the optical image and determining the physical characteristics of the object, and a positioning device for positioning the X-ray irradiator and the X-ray receiver of the device for taking X-ray photographs based on the determined physical characteristics and the part of the object to be taken X-ray photographs. However, the following problems exist in the prior art: the analysis of X-ray imaging by this system is insufficient, resulting in low accuracy and low precision in the analysis of X-ray imaging. Summary of the Invention

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

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

[0006] A transmitting plate, which includes an X-ray tube disposed in the middle of the transmitting plate for emitting X-rays;

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

[0008] A connecting mechanism, which includes a connecting shaft disposed at one end of the receiving plate and connected to a connecting plate, support rods disposed at both ends of the connecting shaft for connecting the receiving plate and the transmitting plate, and a connecting rod disposed at the end of the transmitting plate close to the support rod and connected to the support rod;

[0009] A driving mechanism, which includes a driving motor disposed at one end of the connecting rod close to the receiving plate for driving the receiving plate to reciprocate along the axis direction of the connecting shaft;

[0010] A control unit, which includes:

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

[0012] A data analysis module, which is connected to the data acquisition module, and is used to determine the division of the square area of the original image based on the edge gray value, and determine the qualification of dividing the square area into a fuzzy area according to the fuzzy prominent edge evaluation value of the fuzzy area. Based on the condition that the square area is qualified to be divided into a fuzzy area, determine the qualification of the fuzzy area feature according to the comparison result between the feature gray value and the preset feature gray value;

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

[0014] A data comparison module, which is connected to the data acquisition module, and is used to determine the qualification of the imaging of the target to be detected according to the comparison result between the feature gray value of the offset image and the feature gray value of the corresponding fuzzy area feature of the original image based on the condition that the offset image is restored.

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

[0016] Further, under the condition that the data analysis module determines that the area is a fuzzy area, determine that the area is qualified to be divided into a fuzzy area based on the comparison result that the fuzzy prominent edge evaluation value of the fuzzy area is less than or equal to the preset fuzzy prominent edge evaluation value.

[0017] Further, under the condition that the data analysis module determines that the area is qualified to be divided into a fuzzy area, determine that the fuzzy area feature is unqualified based on the comparison result that the feature gray value is greater than the preset feature gray value.

[0018] Further, under the condition that the data processing module determines that the fuzzy area feature is unqualified, determine to offset the fuzzy area feature upward relative to the due north of the receiving board with respect to the center point of the fuzzy area based on the comparison result that the feature edge evaluation value is less than or equal to the preset feature edge evaluation value, and determine the offset distance of the fuzzy area feature according to the difference between the feature trajectory smoothness evaluation value and the preset feature trajectory smoothness evaluation value.

[0019] Further, when the data processing module determines that the characteristics of the blurred area are unqualified, it determines to shift the characteristics of the blurred area downward relative to the direct lower position of the receiving plate with respect to the receiving plate based on the comparison result that the characteristic edge evaluation value is greater than the preset characteristic edge evaluation value, and determines the offset distance of the characteristics of the blurred area according to the difference between the characteristic trajectory smoothness evaluation value and the preset characteristic trajectory smoothness evaluation value.

[0020] Further, when the data processing module determines the offset direction and offset distance of the characteristics of the blurred area, it determines the angle at which the receiving plate is tilted upward relative to the horizontal plane of the receiving plate based on the offset direction and the offset distance.

[0021] Further, when the data processing module determines the offset direction and offset distance of the characteristics of the blurred area, it determines the angle at which the receiving plate is tilted downward relative to the horizontal plane of the receiving plate based on the offset direction and the offset distance.

[0022] Further, when the data acquisition module determines the tilt direction and tilt angle of the receiving plate, it acquires the offset image of the receiving plate at this time, and transforms the offset image according to the transformation matrix calculated from the feature points corresponding to the blurred area characteristics of the original image on the offset image, and restores it to the exact same position as the blurred area characteristics of the original image.

[0023] Further, when the data comparison module determines to restore the offset image, it determines the qualification of the target to be detected based on the comparison result that the characteristic gray value of the offset image is greater than the characteristic gray value of the corresponding blurred area characteristic of the original image.

[0024] Compared with the prior art, the beneficial effects of the present invention are that the present invention divides the image area into two categories, clear and blurred, according to the comparison of the edge gray value and the preset value by photographing the original image at a specific angle, and further evaluates the qualification of the blurred area by comparing the blurred prominent edge evaluation value with the preset value, improving the accuracy and reliability of the evaluation result, thereby improving the accuracy of X-ray imaging analysis.

[0025] Further, on the basis of the qualification of the blurred area, the present invention further evaluates the qualification of the characteristics of the blurred area by comparing the characteristic gray value with the preset value, and determines the offset direction of the characteristics of the blurred area by comparing the characteristic edge evaluation value with the preset value in case of unqualified, improving the pertinence 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 fuzzy region features by comparing the feature trajectory evaluation value with a preset value, and further calculates the offset distance based on the difference between the two, enhancing the accuracy of processing, 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 based on the offset information of the fuzzy region features. After the receiving mechanism is adjusted in place, the data acquisition module acquires the offset image, and corrects the offset image to align with the fuzzy region features of the original image through feature point matching, improving the accuracy of image processing, improving the image quality, improving the efficiency of the image processing process, and thus 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 feature gray values of the offset image and the original image in the fuzzy region features, accurately reflecting the change in clarity after improvement in the fuzzy region of the image, and ensuring the continuous improvement of the image quality. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0030] Figure 2 is a schematic diagram of module connections according to an embodiment of the present invention;

[0031] Figure 3 is a flowchart for determining the qualification of the fuzzy region according to an embodiment of the present invention;

[0032] Figure 4 is a flowchart for determining the qualification of the fuzzy region features according to an embodiment of the present invention.

[0033] In the figure, 1 is a transmitting plate; 2 is a receiving plate; 101 is an X-ray tube; 102 is a connecting shaft; 103 is a support rod; 104 is a connecting rod; 105 is a driving motor. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] In order to make the objectives and advantages of the present invention clearer, the present invention will be 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 will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0036] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for 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 should not be construed as a limitation to the present invention.

[0037] In addition, it should be noted that in the description of the present invention, unless otherwise clearly defined and limited, the terms "installation", "connection", and "coupling" 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 directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0038] Please refer to Figure 1 - Figure 4 as shown in Figure 1 the structural schematic diagram of the analysis system based on X-ray imaging according to an embodiment of the present invention; Figure 2 the schematic diagram of module connection according to an embodiment of the present invention; Figure 3 the flowchart for determining the qualification of the fuzzy area according to an embodiment of the present invention; Figure 4 the flowchart for determining the qualification of the characteristics of the fuzzy area according to an embodiment of the present invention.

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

[0040] a transmitting plate, which includes an X-ray tube 101 arranged in the middle of the transmitting plate for emitting X-rays;

[0041] a receiving plate, which is used for receiving the X-rays emitted by the X-ray tube 101;

[0042] a connecting mechanism, which includes a connecting shaft 102 arranged at one end of the receiving plate and connected to a connecting plate, support rods 103 arranged at both ends of the connecting shaft for connecting the receiving plate and the transmitting plate, and a connecting rod 104 arranged at the end of the transmitting plate close to the support rod and connected to the support rod;

[0043] a driving mechanism, which includes a driving motor 105 arranged at one end of the connecting rod close to the receiving plate for driving the receiving plate to make a reciprocating motion along the axial direction of the connecting shaft;

[0044] a control unit, which includes:

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

[0046] A data analysis module, which is connected to the data acquisition module, is used to determine the blurred area of the original image, extract the features of the blurred area, and determine the offset direction and offset distance of the features;

[0047] A data processing module, which is connected to the data analysis module, is used to determine an offset image of the to-be-detected target captured by an inclined receiving plate based on the offset direction and offset distance;

[0048] A data comparison module, which is connected to the data acquisition module, is used to determine the imaging qualification of the to-be-detected target based on the characteristic gray value of the restored offset image.

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

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

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

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

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

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

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

[0056] Specifically, the edge gray value is the ratio of the sum of the squares of the gray values of a plurality of pixel points in the horizontal direction to the sum of the squares of the gray values of a plurality of pixel points in the horizontal direction and the number of pixel points.

[0057] Specifically, under the condition that the data analysis module determines that the square area is a blurred area, it determines the qualification of the square area divided into a blurred area according to the comparison result between the blurred prominent edge evaluation value of the blurred area and the preset blurred prominent edge evaluation value of 0.84,

[0058] If the fuzzy prominent edge evaluation value is less than or equal to the preset fuzzy prominent edge evaluation value, it is determined that the division of the square area into the fuzzy area is qualified;

[0059] If the fuzzy prominent edge evaluation value is greater than the preset fuzzy prominent edge evaluation value, it is determined that the division of the square area into the fuzzy area is unqualified.

[0060] In the embodiment of the present invention, the preset fuzzy prominent edge evaluation value is taken as 0.84. The preset fuzzy prominent edge evaluation value is obtained by taking the average value of the fuzzy prominent edge evaluation values of a number of historical qualified fuzzy areas. However, the above value is not limited to this, and those skilled in the art can also adjust this value according to actual needs.

[0061] Specifically, the fuzzy prominent edge evaluation value is the ratio of the sum of the pixel point gradient intensities at the edge of the fuzzy area to the product of the number of pixel points at the edge of the fuzzy area and the standard deviation of the pixel point gradient intensities at the edge of the fuzzy area.

[0062] In the embodiment of the present invention, the gradient intensity is the rate of change of the gray value at a certain pixel point in the fuzzy area.

[0063] Specifically, in the present invention, the original image is photographed at a specific angle, and the image area is divided into two categories: clear and fuzzy according to the comparison between the edge gray value and the preset value. For the fuzzy area, the qualification of the fuzzy area is further evaluated by comparing the fuzzy prominent edge evaluation value with the preset value, which improves the accuracy and reliability of the evaluation result, and thus improves the accuracy of X-ray imaging analysis.

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

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

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

[0067] In the embodiment of the present invention, the preset characteristic gray value is taken as 30. The preset characteristic gray value is obtained by taking the average value of the characteristic gray values of the features of a number of historical qualified fuzzy areas. However, the above value is not limited to this, and those skilled in the art can also adjust this value according to actual needs.

[0068] Specifically, the characteristic gray value is the ratio of the sum of the squares of the gray values of a number of characteristic points in the horizontal direction and the squares of the gray 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 where the gray value of the fuzzy region feature is not 0.

[0070] Specifically, when the data processing module determines that the fuzzy region feature is unqualified, it determines the offset direction of the fuzzy region feature according to the comparison result between the feature edge evaluation value and the preset feature edge evaluation value of 0.72;

[0071] If the feature edge evaluation value is less than or equal to the preset feature edge evaluation value, it is determined that the fuzzy region feature is offset upward relative to the directly above of the receiving plate with respect to the center point of the fuzzy region;

[0072] If the feature edge evaluation value is greater than the preset feature edge evaluation value, it is determined that the fuzzy region feature is offset downward relative to the directly below of the receiving plate with respect to the center point of the fuzzy region;

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

[0074] In the embodiment of the present invention, the value of the preset feature edge evaluation value is 0.72, but the above value is not limited to this, and those skilled in the art can also adjust this 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 several feature points to the standard deviation of the gradient intensity of several feature points multiplied by the number of feature points of the fuzzy region feature.

[0076] Specifically, based on the qualification of the fuzzy region, the present invention further evaluates the qualification of the fuzzy region feature by comparing the feature gray value with a preset value, and determines the offset direction of the fuzzy region feature by comparing the feature edge evaluation value with the preset value for unqualified cases, improving the pertinence and efficiency of image processing, thereby improving the accuracy and efficiency of imaging analysis.

[0077] Specifically, when the data processing module determines that the fuzzy region feature is unqualified, it determines the offset distance range of the fuzzy region feature according to the comparison result between the feature trajectory smoothness evaluation value and the preset feature trajectory smoothness evaluation value of 0.78;

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

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

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

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

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

[0083] Specifically, the present invention determines the offset distance range of the fuzzy region feature by comparing the feature trajectory smoothness evaluation value with the preset value, and further calculates the offset distance according to the difference between the two, 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 fuzzy region feature. The tilt direction and tilt angle of the receiving plate are positively correlated with the offset direction and offset distance of the fuzzy region feature. If it is determined that the fuzzy region feature offsets upward relative to the receiving plate directly above the center point of the fuzzy region and the determined offset distance, it is determined that the receiving plate tilts upward relative to the horizontal plane of the receiving plate and tilts by the corresponding angle; if it is determined that the fuzzy region feature offsets downward relative to the receiving plate directly below the center point of the fuzzy region and the determined offset distance, it is determined that the receiving plate tilts downward relative to the horizontal plane of the receiving plate and tilts by the corresponding angle, where the angle is the cosine of the angle between the distance of the fuzzy region feature of the tilted receiving plate mapped to the horizontal receiving plate relative to the origin of the horizontal receiving plate and the distance of the fuzzy region feature of the tilted receiving plate relative to the origin of the tilted receiving plate.

[0085] Specifically, under the condition of determining the tilt direction and tilt angle of the receiving plate, the data acquisition module acquires the offset image of the receiving plate at this time, finds the feature points corresponding to the fuzzy region feature of the original image on the offset image through feature matching, and transforms the offset image according to the transformation matrix calculated from the feature points to restore it to the exact same position as the fuzzy region feature of the original image. Among them, feature matching is the process of finding corresponding matching point pairs by comparing the similarity of feature points in different images, and the transformation matrix is the transformation relationship of the image from one coordinate system to another coordinate system.

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

[0087] Specifically, under the condition of determining to restore the offset image, the data comparison module determines the qualification of the imaging of the target to be detected according to the comparison result between the characteristic gray value of the offset image and the characteristic gray value of the corresponding blurred area feature of the original image;

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

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

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

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

[0092] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the 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 are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, 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, Including: A transmitting plate, which includes an X-ray tube disposed in the middle of the transmitting plate for emitting X-rays; A receiving plate, which is used to receive the X-rays emitted by the X-ray tube; A connecting mechanism, which includes a connecting shaft disposed at one end of the receiving plate and connected to a connecting plate, support rods disposed at both ends of the connecting shaft for connecting the receiving plate and the transmitting plate, and a connecting rod disposed at the end of the transmitting plate near the support rod and connected to the support rod; A driving mechanism, which includes a driving motor disposed at one end of the connecting shaft near the receiving plate for driving the receiving plate to reciprocate along the axis direction of the connecting shaft; A control unit, which includes: A data acquisition module, which is used to acquire the original image of the target to be detected received by the receiving plate; The data acquisition module acquires the original image when the target to be detected is in a parallel state with the receiving plate, where the parallel state means that both the target to be detected and the receiving plate are parallel to the ground; A data analysis module, which is connected to the data acquisition module, and is used to determine the division of the square area of the original image based on the edge gray value, and determine the qualification of dividing the square area into a fuzzy area according to the fuzzy prominent edge evaluation value of the fuzzy area. Based on the condition that the square area is qualified to be divided into a fuzzy area, determine the qualification of the fuzzy area feature according to the comparison result between the feature gray value and the preset feature gray value; The edge gray value is the ratio of the sum of the squares of the gray values of a number of pixel points in the horizontal direction and the sum of the squares of the gray values of a number of pixel points in the horizontal direction to the number of pixel points; The fuzzy prominent edge evaluation value is the ratio of the sum of the pixel point gradient intensities of the fuzzy area edge to the product of the number of pixel points of the fuzzy area edge and the standard deviation of the pixel point gradient intensities of the fuzzy area edge; The feature gray value is the ratio of the sum of the squares of the gray values of a number of feature points in the horizontal direction and the sum of the squares of the gray values of a number of feature points in the vertical direction to the number of feature points of the fuzzy area feature; A data processing module, which is connected to the data analysis module, and is used to determine the offset strategy of the fuzzy area feature according to the fuzzy area feature parameters under the condition that the fuzzy area feature is unqualified, where the offset strategy includes determining the offset direction and offset distance of the fuzzy area feature; A data comparison module, which is connected to the data acquisition module, and is used to determine the qualification of the imaging of the target to be detected according to the comparison result between the feature gray value of the offset image and the feature gray value of the corresponding fuzzy area feature of the original image under the condition of determining that the offset image is restored.

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

3. The X-ray imaging-based analysis system according to claim 2, wherein The data analysis module determines that the area is qualified to be divided into a fuzzy area based on the comparison result that the fuzzy prominent edge evaluation value of the fuzzy area is less than or equal to the preset fuzzy prominent edge evaluation value when determining that the area is a fuzzy area.

4. The X-ray imaging-based analysis system according to claim 3, wherein The data analysis module determines that the fuzzy area feature is unqualified based on the comparison result that the feature gray value is greater than the preset feature gray value when determining that the area is qualified to be divided into a fuzzy area.

5. The X-ray imaging-based analysis system according to claim 4, characterized in that, When the data processing module determines that the characteristics of the blurred area are unqualified, it determines to shift the characteristics of the blurred area upward relative to the directly above of 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 characteristics of the blurred area according to the difference between the feature trajectory smoothness evaluation value and the preset feature trajectory smoothness evaluation value; The feature edge evaluation value is the ratio of the difference between the pixel values on both sides of several feature points to the standard deviation of the gradient intensities of several feature points multiplied by the number of feature points of the blurred area feature; The feature trajectory smoothness evaluation value is the ratio of the average value of the distances between two adjacent feature points of the feature trajectory to the standard deviation of the distances between two adjacent feature points of the feature trajectory plus 1.

6. The analysis system based on X-ray imaging according to claim 4, characterized in that, When the data processing module determines that the characteristics of the blurred area are unqualified, it determines to shift the characteristics of the blurred area downward relative to the directly below of 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 offset distance of the characteristics of the blurred area 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, When the data processing module determines the offset direction and offset distance of the characteristics of the blurred area, it determines the angle at which the receiving plate tilts upward relative to the horizontal plane of the receiving plate based on the offset direction and the offset distance.

8. The X-ray imaging-based analysis system according to claim 6, characterized in that, When the data processing module determines the offset direction and offset distance of the characteristics of the blurred area, it determines the angle at which the receiving plate tilts downward relative to the horizontal plane of the receiving plate based on the offset direction and the offset distance.

9. The X-ray imaging-based analysis system according to claim 8, characterized in that, When the data acquisition module determines the tilt direction and tilt angle of the receiving plate, it acquires the offset image of the receiving plate at this time, and transforms the offset image according to the transformation matrix calculated from the feature points corresponding to the blurred area feature of the original image on the offset image, and restores it to the same position as the blurred area feature of the original image.

10. The X-ray imaging-based analysis system according to claim 9, wherein When the data comparison module determines to restore the offset image, it determines the qualification of the target to be detected based on the comparison result that the feature gray value of the offset image is greater than the feature gray value of the corresponding blurred area feature of the original image.

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