Radiation imaging adjustment method and system and medium

Abstract

The embodiment of the invention provides a radiation imaging adjustment method and system and a medium, and the method comprises the steps: obtaining a radiation image, and carrying out the preprocessing of the radiation image, and obtaining a processed image; analyzing whether image parameters meet set condition information based on the processed image, wherein the image parameters comprise image sensitivity, image resolution and image degradation information; if the set condition information is satisfied, generating an optimized radiation image; if the set condition information is not met, generating correction information, adjusting image parameters of the processed image based on the correction information, and generating an adjustment result; transmitting the adjustment result or the optimized radiation image to the terminal according to a preset mode; by optimizing and adjusting different image parameters of the radiation image, the reflection precision of the radiation image is improved, and the sensitivity, high resolution and marginal definition of radiation imaging are ensured.

Description

Technical Field

[0001] The present application relates to the technical field of radiation image optimization, and in particular to a radiation imaging adjustment method, system and medium. Background Art

[0002] In the medical field, radiation image capturing devices have been widely used, which apply radiation to a target and guide the radiation passing through the target to a radiation conversion panel that captures a radiation image from the radiation. A known form of radiation conversion panel includes a traditional radiation film for recording a radiation image by exposure and an excitable phosphor panel, which is used to store radiation energy for presenting a radiation image in the form of a phosphor and reproduce the radiation image by applying excitation light to the phosphor as excited light. In such a radiation conversion panel, the radiation film with a recorded radiation image is supplied to a developing device to develop the radiation film, or the excitable phosphor panel is supplied to a reading device to read the radiation image to obtain a radiation image as a visible image. During the radiation image acquisition process, the clarity of the radiation image is affected by the influence of noise, so that burrs appear on the edge of the acquired radiation image, affecting the acquisition accuracy. The existing radiation image adjustment method cannot dynamically adjust the image parameters, and the sensitivity and resolution of the noise radiation image are low. For the above problems, effective technical solutions are urgently needed. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a radiation imaging adjustment method, system and medium, which improves the reflection accuracy of the radiation image by optimizing and adjusting different image parameters of the radiation image, and ensures the sensitivity, high resolution and edge clarity of the radiation imaging.

[0004] The present application also provides a radiation imaging adjustment method, including:

[0005] Acquire a radiation image, pre-process the radiation image, and obtain a processed image;

[0006] Analyzing image parameters based on the processed image to determine whether they meet set condition information, the image parameters including image sensitivity, image resolution and image degradation information;

[0007] If the set condition information is met, an optimized radiation image is generated;

[0008] If the set condition information is not satisfied, correction information is generated, and image parameters of the processed image are adjusted based on the correction information to generate an adjustment result;

[0009] The adjustment result or the optimized radiation image is transmitted to the terminal in a predetermined manner.

[0010] Optionally, in the radiation imaging adjustment method described in the embodiment of the present application, obtaining a radiation image, preprocessing the radiation image, and obtaining a processed image specifically includes:

[0011] Acquire radiation images, extract radiation image features, and analyze image feature grayscale values ​​based on the radiation image features;

[0012] Analyze whether the grayscale value of the image feature is within the set grayscale value range;

[0013] If it is, it is judged as a normal feature;

[0014] If not, it is determined to be image noise and a noise feature is generated;

[0015] The noise features are removed based on morphological filtering.

[0016] Optionally, in the radiation imaging adjustment method described in the embodiment of the present application, after removing the noise feature based on morphological filtering, the method further includes:

[0017] Acquire normal features, and generate radiation images based on the fusion of normal features;

[0018] Obtain the pixel points of the radiation image, perform morphological dilation operation on the pixel points, and obtain the edge features of the brightened image;

[0019] Based on the edge features of the brightened image, filtering and denoising are performed to obtain a smooth boundary and generate a super-resolution image.

[0020] Optionally, in the radiation imaging adjustment method described in the embodiment of the present application, whether image parameters meet set condition information based on image processing analysis, the image parameters include image sensitivity, image resolution and image degradation information, specifically including:

[0021] Obtaining image sensitivity, comparing the image sensitivity with a set sensitivity threshold, and obtaining a sensitivity difference;

[0022] Obtaining image resolution, comparing the image resolution with a set image resolution threshold, and obtaining a resolution difference;

[0023] Obtain the current radiation image and the original radiation image, analyze the degradation factors, generate degradation information, compare the degradation information with the set degradation threshold, and obtain the image degradation difference;

[0024] Based on the sensitivity difference, resolution difference and image degradation difference, weight optimization is performed to obtain optimized image parameters, and based on the optimized image parameters, it is analyzed whether the set condition information is met.

[0025] Optionally, in the radiation imaging adjustment method described in the embodiment of the present application, if the set condition information is not met, correction information is generated, and image parameters of the processed image are adjusted based on the correction information to generate an adjustment result, which specifically includes:

[0026] The set condition information is a condition interval, and the condition interval includes an upper limit value and a lower limit value;

[0027] If the image parameter is less than the lower limit of the interval, first correction information is generated, a first correction coefficient is generated based on the first correction information, and the image parameter is adjusted according to the first correction coefficient;

[0028] If the image parameter is greater than the upper limit of the interval, second correction information is generated, a second correction coefficient is generated based on the second correction information, and the image parameter is adjusted according to the second correction coefficient.

[0029] Optionally, in the radiation imaging adjustment method described in the embodiment of the present application, adjusting the image parameters of the processed image based on the correction information further includes:

[0030] Acquire an original radiation image, and perform blur processing on the original radiation image to obtain a degraded image;

[0031] The degraded image is subjected to inverse deblurring processing and the degraded image is enlarged based on an interpolation algorithm;

[0032] Generate high-frequency correction condition information based on a priori constraint conditions, constrain the enlarged degraded image based on the high-frequency correction condition information, and obtain constraint parameters;

[0033] An image parameter of the processed image is constrainedly adjusted based on the constraint parameter.

[0034] In a second aspect, an embodiment of the present application provides a radiation imaging adjustment system, the system comprising: a memory and a processor, the memory comprising a program of a radiation imaging adjustment method, and the program of the radiation imaging adjustment method is executed by the processor to implement the following steps:

[0035] Acquire a radiation image, pre-process the radiation image, and obtain a processed image;

[0036] Analyzing image parameters based on the processed image to determine whether they meet set condition information, the image parameters including image sensitivity, image resolution and image degradation information;

[0037] If the set condition information is met, an optimized radiation image is generated;

[0038] If the set condition information is not satisfied, correction information is generated, and image parameters of the processed image are adjusted based on the correction information to generate an adjustment result;

[0039] The adjustment result or the optimized radiation image is transmitted to the terminal in a predetermined manner.

[0040] Optionally, in the radiation imaging adjustment system described in the embodiment of the present application, acquiring a radiation image, and preprocessing the radiation image to obtain a processed image specifically include:

[0041] Acquire radiation images, extract radiation image features, and analyze image feature grayscale values ​​based on the radiation image features;

[0042] Analyze whether the grayscale value of the image feature is within the set grayscale value range;

[0043] If it is, it is judged as a normal feature;

[0044] If not, it is determined to be image noise and a noise feature is generated;

[0045] The noise features are removed based on morphological filtering.

[0046] Optionally, in the radiation imaging adjustment system described in the embodiment of the present application, after removing the noise feature based on the morphological filtering method, the system further includes:

[0047] Acquire normal features, and generate radiation images based on the fusion of normal features;

[0048] Obtain the pixel points of the radiation image, perform morphological dilation operation on the pixel points, and obtain the edge features of the brightened image;

[0049] Based on the edge features of the brightened image, filtering and denoising are performed to obtain a smooth boundary and generate a super-resolution image.

[0050] In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a radiation imaging adjustment method program, and when the radiation imaging adjustment method program is executed by a processor, the steps of the radiation imaging adjustment method as described in any one of the above items are implemented.

[0051] As can be seen from the above, a radiation imaging adjustment method, system and medium provided in an embodiment of the present application obtain a radiation image, pre-process the radiation image, and obtain a processed image; based on the processed image, analyze whether the image parameters meet the set condition information, and the image parameters include image sensitivity, image resolution and image degradation information; if the set condition information is met, an optimized radiation image is generated; if the set condition information is not met, correction information is generated, and the image parameters of the processed image are adjusted based on the correction information to generate an adjustment result; the adjustment result or the optimized radiation image is transmitted to the terminal in a predetermined manner; by optimizing and adjusting different image parameters of the radiation image, the reflection accuracy of the radiation image is improved, and the sensitivity, high resolution and edge clarity of the radiation imaging are guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 A flow chart of a radiation imaging adjustment method provided in an embodiment of the present application;

[0054] Figure 2 A flow chart of a radiation image preprocessing method of a radiation imaging adjustment method provided in an embodiment of the present application;

[0055] Figure 3 A flow chart of a super-resolution image generation method of a radiation imaging adjustment method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0057] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0058] Please refer to Figure 1 , Figure 1 1 is a flow chart of a radiation imaging adjustment method in some embodiments of the present application. The radiation imaging adjustment method is used in a terminal device, and the radiation imaging adjustment method includes the following steps:

[0059] S101, acquiring a radiation image, and preprocessing the radiation image to obtain a processed image;

[0060] S102, analyzing image parameters based on the processed image to determine whether they meet set condition information, where the image parameters include image sensitivity, image resolution, and image degradation information;

[0061] S103, if the set condition information is met, generating an optimized radiation image;

[0062] S104, if the set condition information is not satisfied, generating correction information, adjusting the image parameters of the processed image based on the correction information, and generating an adjustment result;

[0063] S105, transmitting the adjustment result or the optimized radiation image to the terminal in a predetermined manner.

[0064] It should be noted that by performing denoising processing on the radiation image and removing the image noise, a processed image after noise removal is obtained to ensure the accuracy of image analysis, so as to analyze whether the radiation image meets the requirements, and then dynamically adjust the image parameters of the radiation image to improve the adjustment accuracy.

[0065] Please refer to Figure 2 , Figure 2 This is a flow chart of a radiation image preprocessing method of a radiation imaging adjustment method in some embodiments of the present application. According to an embodiment of the present invention, a radiation image is acquired, and the radiation image is preprocessed to obtain a processed image, specifically including:

[0066] S201, acquiring a radiation image, extracting radiation image features, and analyzing image feature grayscale values ​​based on the radiation image features;

[0067] S202, analyzing whether the image feature grayscale value is within a set grayscale value range;

[0068] S203, if it is, it is determined to be a normal feature;

[0069] S204, if not, it is determined to be image noise, and a noise feature is generated;

[0070] S205, removing noise features based on morphological filtering.

[0071] It should be noted that by analyzing the grayscale value of image features, the noise features of the radiation image are screened, the noise features are accurately removed, the normal features are retained, and the response accuracy of the radiation image is improved.

[0072] Please refer to Figure 3 , Figure 3 This is a flow chart of a super-resolution image generation method of a radiation imaging adjustment method in some embodiments of the present application. According to an embodiment of the present invention, after removing the noise feature based on the morphological filtering method, it also includes:

[0073] S301, obtaining normal features, and generating a radiation image based on the fusion of the normal features;

[0074] S302, obtaining pixel points of the radiation image, performing morphological dilation operation on the pixel points, and obtaining edge features of the brightened image;

[0075] S303, performing filtering and denoising based on edge features of the brightened image to obtain a smooth boundary and generate a super-resolution image.

[0076] It should be noted that the image features after noise removal are fused, and the image features at the edges are enhanced through morphological dilation operation, so that the image edges can be accurately rounded and image burrs can be removed.

[0077] According to an embodiment of the present invention, based on the processed image, image parameters are analyzed to determine whether they meet the set condition information, and the image parameters include image sensitivity, image resolution and image degradation information, specifically including:

[0078] Obtaining image sensitivity, comparing the image sensitivity with a set sensitivity threshold, and obtaining a sensitivity difference;

[0079] Obtaining image resolution, comparing the image resolution with a set image resolution threshold, and obtaining a resolution difference;

[0080] Obtain the current radiation image and the original radiation image, analyze the degradation factors, generate degradation information, compare the degradation information with the set degradation threshold, and obtain the image degradation difference;

[0081] Based on the sensitivity difference, resolution difference and image degradation difference, weight optimization is performed to obtain optimized image parameters, and based on the optimized image parameters, it is analyzed whether the set condition information is met.

[0082] It should be noted that by analyzing the difference between the current radiation image and the original radiation image, the image degradation information is obtained, the degradation factors are analyzed based on the image degradation information, and the weights are optimized through the sensitivity difference and the resolution difference to obtain accurate image parameters.

[0083] Furthermore, usually due to data measurement errors (such as noise interference, changes in external environmental conditions such as the atmosphere, instability of internal sensors in the system, etc.), the obtained image will be distorted and the image quality will be reduced, which is called image degradation.

[0084] According to an embodiment of the present invention, if the set condition information is not met, correction information is generated, and image parameters of the processed image are adjusted based on the correction information to generate an adjustment result, which specifically includes:

[0085] The set condition information is a condition interval, and the condition interval includes an upper limit value and a lower limit value;

[0086] If the image parameter is less than the lower limit of the interval, first correction information is generated, a first correction coefficient is generated based on the first correction information, and the image parameter is adjusted according to the first correction coefficient;

[0087] If the image parameter is greater than the upper limit of the interval, second correction information is generated, a second correction coefficient is generated based on the second correction information, and the image parameter is adjusted according to the second correction coefficient.

[0088] It should be noted that different correction coefficients are obtained by analyzing the image parameters and the set condition intervals, and the image parameters are adjusted in different ways according to the different correction coefficients, thereby improving the adjustment accuracy.

[0089] According to an embodiment of the present invention, adjusting the image parameters of the processed image based on the correction information further includes:

[0090] Acquire an original radiation image, and perform blur processing on the original radiation image to obtain a degraded image;

[0091] The degraded image is subjected to inverse deblurring processing and the degraded image is enlarged based on an interpolation algorithm;

[0092] Generate high-frequency correction condition information based on a priori constraint conditions, constrain the enlarged degraded image based on the high-frequency correction condition information, and obtain constraint parameters;

[0093] An image parameter of the processed image is constrainedly adjusted based on the constraint parameter.

[0094] It should be noted that the original radiation image is first blurred to degrade the quality of the original radiation image, and then reversely deblurred to reduce the influence of noise characteristics through bidirectional processing, and the image parameters are corrected through prior constraints to improve the correction accuracy.

[0095] According to an embodiment of the present invention, a method for restoring a degraded radiation image specifically includes:

[0096] Obtain the original radiation image and the current radiation image, analyze the degradation factors, and obtain the degradation information;

[0097] Analyze the geometric offset information of the current radiation image based on the degradation information, and analyze the pixel point diffusion information based on the geometric offset information;

[0098] Analyze the current radiation image resolution based on pixel point diffusion information;

[0099] Generate compensation information based on comparing the current radiation image resolution with the set standard image resolution;

[0100] The pixel resolution of the current radiation image is compensated based on the compensation information.

[0101] It should be noted that by analyzing the resolution difference between the current radiation image and the original radiation image, the image resolution is dynamically compensated to obtain a super-resolution image, thereby optimizing the degraded radiation image.

[0102] In a second aspect, an embodiment of the present application provides a radiation imaging adjustment system, the system comprising: a memory and a processor, the memory comprising a program of a radiation imaging adjustment method, and when the program of the radiation imaging adjustment method is executed by the processor, the following steps are implemented:

[0103] Acquire a radiation image, pre-process the radiation image, and obtain a processed image;

[0104] Analyzing image parameters based on the processed image to determine whether they meet set condition information, the image parameters including image sensitivity, image resolution and image degradation information;

[0105] If the set condition information is met, an optimized radiation image is generated;

[0106] If the set condition information is not satisfied, correction information is generated, and image parameters of the processed image are adjusted based on the correction information to generate an adjustment result;

[0107] The adjustment result or the optimized radiation image is transmitted to the terminal in a predetermined manner.

[0108] According to an embodiment of the present invention, obtaining a radiation image and preprocessing the radiation image to obtain a processed image specifically includes:

[0109] Acquire radiation images, extract radiation image features, and analyze image feature grayscale values ​​based on the radiation image features;

[0110] Analyze whether the grayscale value of the image feature is within the set grayscale value range;

[0111] If it is, it is judged as a normal feature;

[0112] If not, it is determined to be image noise and a noise feature is generated;

[0113] The noise features are removed based on morphological filtering.

[0114] According to an embodiment of the present invention, after removing the noise feature based on morphological filtering, the method further includes:

[0115] Acquire normal features, and generate radiation images based on the fusion of normal features;

[0116] Obtain the pixel points of the radiation image, perform morphological dilation operation on the pixel points, and obtain the edge features of the brightened image;

[0117] Based on the edge features of the brightened image, filtering and denoising are performed to obtain a smooth boundary and generate a super-resolution image.

[0118] It should be noted that the image features after noise removal are fused, and the image features at the edges are enhanced through morphological dilation operation, so that the image edges can be accurately rounded and image burrs can be removed.

[0119] According to an embodiment of the present invention, based on the processed image, image parameters are analyzed to determine whether they meet the set condition information, and the image parameters include image sensitivity, image resolution and image degradation information, specifically including:

[0120] Obtaining image sensitivity, comparing the image sensitivity with a set sensitivity threshold, and obtaining a sensitivity difference;

[0121] Obtaining image resolution, comparing the image resolution with a set image resolution threshold, and obtaining a resolution difference;

[0122] Obtain the current radiation image and the original radiation image, analyze the degradation factors, generate degradation information, compare the degradation information with the set degradation threshold, and obtain the image degradation difference;

[0123] Based on the sensitivity difference, resolution difference and image degradation difference, weight optimization is performed to obtain optimized image parameters, and based on the optimized image parameters, it is analyzed whether the set condition information is met.

[0124] It should be noted that by analyzing the difference between the current radiation image and the original radiation image, the image degradation information is obtained, the degradation factors are analyzed based on the image degradation information, and the weights are optimized through the sensitivity difference and the resolution difference to obtain accurate image parameters.

[0125] Furthermore, usually due to data measurement errors (such as noise interference, changes in external environmental conditions such as the atmosphere, instability of internal sensors in the system, etc.), the obtained image will be distorted and the image quality will be reduced, which is called image degradation.

[0126] According to an embodiment of the present invention, if the set condition information is not met, correction information is generated, and image parameters of the processed image are adjusted based on the correction information to generate an adjustment result, which specifically includes:

[0127] The set condition information is a condition interval, and the condition interval includes an upper limit value and a lower limit value;

[0128] If the image parameter is less than the lower limit of the interval, first correction information is generated, a first correction coefficient is generated based on the first correction information, and the image parameter is adjusted according to the first correction coefficient;

[0129] If the image parameter is greater than the upper limit of the interval, second correction information is generated, a second correction coefficient is generated based on the second correction information, and the image parameter is adjusted according to the second correction coefficient.

[0130] It should be noted that different correction coefficients are obtained by analyzing the image parameters and the set condition intervals, and the image parameters are adjusted in different ways according to the different correction coefficients, thereby improving the adjustment accuracy.

[0131] According to an embodiment of the present invention, adjusting the image parameters of the processed image based on the correction information further includes:

[0132] Acquire an original radiation image, and perform blur processing on the original radiation image to obtain a degraded image;

[0133] The degraded image is subjected to inverse deblurring processing and the degraded image is enlarged based on an interpolation algorithm;

[0134] generating high-frequency correction condition information based on a priori constraint conditions, constraining the enlarged degraded image based on the high-frequency correction condition information, and obtaining constraint parameters;

[0135] An image parameter of the processed image is constrainedly adjusted based on the constraint parameter.

[0136] It should be noted that the original radiation image is first blurred to degrade the quality of the original radiation image, and then reversely deblurred to reduce the influence of noise characteristics through bidirectional processing, and the image parameters are corrected through prior constraints to improve the correction accuracy.

[0137] According to an embodiment of the present invention, a method for restoring a degraded radiation image specifically includes:

[0138] Obtain the original radiation image and the current radiation image, analyze the degradation factors, and obtain the degradation information;

[0139] Analyze the geometric offset information of the current radiation image based on the degradation information, and analyze the pixel point diffusion information based on the geometric offset information;

[0140] Analyze the current radiation image resolution based on pixel point diffusion information;

[0141] Generate compensation information based on comparing the current radiation image resolution with the set standard image resolution;

[0142] The pixel resolution of the current radiation image is compensated based on the compensation information.

[0143] It should be noted that by analyzing the resolution difference between the current radiation image and the original radiation image, the image resolution is dynamically compensated to obtain a super-resolution image, thereby optimizing the degraded radiation image.

[0144] A third aspect of the present invention provides a computer-readable storage medium, which includes a radiation imaging adjustment method program. When the radiation imaging adjustment method program is executed by a processor, the steps of any of the above-mentioned radiation imaging adjustment methods are implemented.

[0145] The present invention discloses a radiation imaging adjustment method, system and medium, which obtain a radiation image, pre-process the radiation image and obtain a processed image; analyze whether image parameters meet set condition information based on the processed image, and the image parameters include image sensitivity, image resolution and image degradation information; if the set condition information is met, an optimized radiation image is generated; if the set condition information is not met, correction information is generated, and the image parameters of the processed image are adjusted based on the correction information to generate an adjustment result; the adjustment result or the optimized radiation image is transmitted to a terminal in a predetermined manner; by optimizing and adjusting different image parameters of the radiation image, the reflection accuracy of the radiation image is improved, and the sensitivity, high resolution and edge clarity of the radiation imaging are guaranteed.

[0146] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0147] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0148] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0149] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0150] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A radiation imaging adjustment method, characterized in that: include: Acquire a radiation image, pre-process the radiation image, and obtain a processed image; Analyzing image parameters based on the processed image to determine whether they meet set condition information, the image parameters including image sensitivity, image resolution and image degradation information; If the set condition information is met, an optimized radiation image is generated; If the set condition information is not satisfied, correction information is generated, and image parameters of the processed image are adjusted based on the correction information to generate an adjustment result; The adjustment result or the optimized radiation image is transmitted to the terminal in a predetermined manner.

2. The radiation imaging adjustment method according to claim 1, characterized in that: Acquire a radiation image, and preprocess the radiation image to obtain a processed image, specifically including: Acquire radiation images, extract radiation image features, and analyze image feature grayscale values ​​based on the radiation image features; Analyze whether the grayscale value of the image feature is within the set grayscale value range; If it is, it is judged as a normal feature; If not, it is determined to be image noise and a noise feature is generated; The noise features are removed based on morphological filtering.

3. The radiation imaging adjustment method according to claim 2, characterized in that: After removing the noise features based on morphological filtering, it also includes: Acquire normal features, and generate radiation images based on the fusion of normal features; Obtain the pixel points of the radiation image, perform morphological dilation operation on the pixel points, and obtain the edge features of the brightened image; Based on the edge features of the brightened image, filtering and denoising are performed to obtain a smooth boundary and generate a super-resolution image.

4. The radiation imaging adjustment method according to claim 3, characterized in that: Based on the processed image, the image parameters are analyzed to determine whether they meet the set condition information. The image parameters include image sensitivity, image resolution and image degradation information, including: Obtaining image sensitivity, comparing the image sensitivity with a set sensitivity threshold, and obtaining a sensitivity difference; Obtaining image resolution, comparing the image resolution with a set image resolution threshold, and obtaining a resolution difference; Obtain the current radiation image and the original radiation image, analyze the degradation factors, generate degradation information, compare the degradation information with the set degradation threshold, and obtain the image degradation difference; Based on the sensitivity difference, resolution difference and image degradation difference, weight optimization is performed to obtain optimized image parameters, and based on the optimized image parameters, it is analyzed whether the set condition information is met.

5. The radiation imaging adjustment method according to claim 4, characterized in that: If the set condition information is not met, correction information is generated, and the image parameters of the processed image are adjusted based on the correction information to generate an adjustment result, which specifically includes: The set condition information is a condition interval, and the condition interval includes an upper limit value and a lower limit value; If the image parameter is less than the lower limit of the interval, first correction information is generated, a first correction coefficient is generated based on the first correction information, and the image parameter is adjusted according to the first correction coefficient; If the image parameter is greater than the upper limit of the interval, second correction information is generated, a second correction coefficient is generated based on the second correction information, and the image parameter is adjusted according to the second correction coefficient.

6. The radiation imaging adjustment method according to claim 5, characterized in that: Adjusting image parameters of the processed image based on the correction information also includes: Acquire an original radiation image, and perform blur processing on the original radiation image to obtain a degraded image; The degraded image is subjected to inverse deblurring processing and the degraded image is enlarged based on an interpolation algorithm; generating high-frequency correction condition information based on a priori constraint conditions, constraining the enlarged degraded image based on the high-frequency correction condition information, and obtaining constraint parameters; An image parameter of the processed image is constrainedly adjusted based on the constraint parameter.

7. A radiation imaging adjustment system, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a radiation imaging adjustment method, and when the program of the radiation imaging adjustment method is executed by the processor, the following steps are implemented: Acquire a radiation image, pre-process the radiation image, and obtain a processed image; Analyzing image parameters based on the processed image to determine whether they meet set condition information, the image parameters including image sensitivity, image resolution and image degradation information; If the set condition information is met, an optimized radiation image is generated; If the set condition information is not satisfied, correction information is generated, and image parameters of the processed image are adjusted based on the correction information to generate an adjustment result; The adjustment result or the optimized radiation image is transmitted to the terminal in a predetermined manner.

8. The radiation imaging adjustment system according to claim 7, characterized in that: Acquire a radiation image, and preprocess the radiation image to obtain a processed image, specifically including: Acquire radiation images, extract radiation image features, and analyze image feature grayscale values ​​based on the radiation image features; Analyze whether the grayscale value of the image feature is within the set grayscale value range; If it is, it is judged as a normal feature; If not, it is determined to be image noise and a noise feature is generated; The noise features are removed based on morphological filtering.

9. The radiation imaging adjustment system according to claim 8, characterized in that: After removing the noise features based on morphological filtering, it also includes: Acquire normal features, and generate radiation images based on the fusion of normal features; Obtain the pixel points of the radiation image, perform morphological dilation operation on the pixel points, and obtain the edge features of the brightened image; Based on the edge features of the brightened image, filtering and denoising are performed to obtain a smooth boundary and generate a super-resolution image.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a radiation imaging adjustment method program, and when the radiation imaging adjustment method program is executed by a processor, the steps of the radiation imaging adjustment method according to any one of claims 1 to 6 are implemented.

Images