A new industrial CR scanner system

Abstract

The application discloses a novel industrial CR scanner system, relates to the technical field of image processing, and comprises a laser source module, a scanning control module, an imaging plate module, a signal acquisition module, an aging analysis module, a uniformity evaluation module and an automatic correction module. The imaging plate module comprises an imaging plate. The imaging plate receives laser beam scanning and releases optical signals. The signal acquisition module is used for collecting the optical signals and converting the optical signals into electric signals. The aging analysis module is used for analyzing the aging degree of the imaging plate. The aging analysis module is combined with the service time and the temperature and humidity data to comprehensively analyze the aging condition of the imaging plate. The uniformity evaluation module evaluates the pixel deviation rate and improves the accuracy in combination with the aging factors. The automatic correction module automatically adjusts the signal strength according to the evaluation result, makes up the distortion caused by the uneven coating and aging, improves the image quality and the scanning efficiency, reduces the human intervention error, ensures the image quality consistency, and enhances the correction precision effect.

Description

Technical Field

[0001] This invention relates to the field of image processing technology, specifically to a novel industrial CR scanner system. Background Technology

[0002] Industrial digital CR systems are digital X-ray imaging technologies applied in industrial fields. They are primarily used for non-destructive testing and quality control of industrial products, equipment, and materials. Industrial digital CR systems utilize phosphor storage technology. When X-rays irradiate an imaging plate containing phosphors, the phosphors absorb and store the X-ray energy, forming a latent image. The imaging plate is then placed in a readout device and scanned with a laser beam of a specific wavelength. Excitation by the laser releases the energy stored in the phosphors as visible light, which is received by a photodetector and converted into electrical signals. These electrical signals are amplified, converted from analog to digital, and then transmitted to a computer for storage, display, and further processing.

[0003] However, in existing technologies, due to uneven distribution of the imaging plate coating or aging of the equipment during the imaging process, there are significant differences in signal intensity in different areas, resulting in uneven brightness and contrast in the image and reducing image quality. Currently, there is a lack of comprehensive analysis of the aging degree of the imaging plate, which reduces the accuracy of correction. Moreover, it often relies on manual adjustment or fixed compensation methods, lacking a flexible and automated correction mechanism, which affects work efficiency and image quality. Summary of the Invention

[0004] The purpose of this invention is to provide a novel industrial CR scanner system that solves the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a novel industrial CR scanner system, comprising a laser source module, a scanning control module, an imaging plate module, a signal acquisition module, an aging analysis module, a uniformity evaluation module, and an automatic calibration module;

[0006] The laser source module includes a laser and optical components for generating and focusing a laser beam;

[0007] The scanning control module is used to control the scanning path and speed of the laser to ensure the stability and accuracy of the laser beam;

[0008] The imaging plate module includes an imaging plate, which receives a laser beam scan and emits a light signal.

[0009] The signal acquisition module is used to collect optical signals and convert them into electrical signals, and then perform digital processing to generate digital images;

[0010] The aging analysis module is used to analyze the degree of aging of the imaging plate based on its usage.

[0011] The uniformity evaluation module is used to evaluate the uniformity deviation of different pixels in a digital image, and the aging degree of the imaging plate is incorporated into the evaluation process to ensure evaluation accuracy.

[0012] The automatic correction module is used to automatically adjust based on the uniformity deviation of different pixels to ensure the uniformity of signal strength.

[0013] Optionally, the aging analysis module performs the following analysis:

[0014]

[0015] Where L is the imaging plate aging score;

[0016] T act This refers to the actual usage time of the imaging plate;

[0017] T max This refers to the maximum usage time of the imaging plate.

[0018] W1 is the usage time impact coefficient, with a value ranging from 0 to 1;

[0019] A ave The average temperature during the use of the imaging plate;

[0020] A sta Standard operating temperature;

[0021] W2 is the temperature influence coefficient, with a value ranging from 0 to 1;

[0022] B ave The average humidity during the use of the imaging plate;

[0023] B sta Standard operating humidity;

[0024] W3 is the humidity influence coefficient, with a value ranging from 0 to 1;

[0025] The imaging plate aging score L indicates the degree of aging of the imaging plate. By incorporating temperature and humidity data, it is used to represent the impact of environmental changes on aging. The smaller the imaging plate aging score L, the better the performance of the imaging plate equipment, and vice versa.

[0026] Optionally, the uniformity evaluation module performs the following evaluation process:

[0027]

[0028] Where U(i,j) is the average pixel deviation rate at pixel (i,j), which represents the ratio of the pixel value at that position to the average pixel value;

[0029] S(i,j) is the pixel value at pixel (i,j);

[0030] L represents the aging score of the imaging plate, with a value ranging from 0 to 1;

[0031] α(i,j) is the aging score influence coefficient at pixel (i,j), and its value ranges from 0 to 1;

[0032] This is the average pixel value;

[0033] M represents the number of pixels in the vertical direction, indicating the height of the imaging panel, i.e., the number of rows;

[0034] N is the number of pixels in the horizontal direction, representing the width of the imaging panel, i.e., the number of columns;

[0035] M×N represents the total number of pixels;

[0036] The average pixel deviation rate U(i,j) at pixel (i,j) is used to measure the difference between the signal strength at each position of the imaging plate and the average signal strength of the entire imaging plate. The larger the average pixel deviation rate U(i,j) at pixel (i,j), the greater the difference between the pixel value at pixel (i,j) and the average value, and the more uneven the distribution of the imaging plate coating. Conversely, the smaller the difference between the pixel value at pixel (i,j) and the average value, the more uniform the distribution of the imaging plate coating.

[0037] Optionally, the calibration process of the calibration module is as follows:

[0038] ΔS cor (i,j)=S(i,j)×[β×U(i,j)-1]

[0039] Where ΔS cor (i,j) represents the adjustment amount at pixel (i,j);

[0040] S(i,j) is the pixel value at pixel (i,j);

[0041] U(i,j) is the average pixel deviation rate at pixel (i,j);

[0042] β is the average pixel deviation rate influence coefficient, which ranges from 0 to 1, representing the correction intensity;

[0043] The adjustment amount ΔS at pixel (i,j) cor (i,j) represents the amount that needs to be adjusted based on the original pixel value. When the adjustment amount ΔS at pixel (i,j) is... corWhen (i,j) is greater than 0, it indicates that the signal strength needs to be increased. When the adjustment amount ΔS at pixel (i,j) is greater than 0, it indicates that the signal strength needs to be increased. cor When (i,j) is less than 0, it means that the signal strength needs to be reduced. The signal strength at each position of the imaging plate is corrected by adjusting the amount to compensate for the signal strength changes caused by coating unevenness and aging.

[0044] Optionally, the adjustment amount ΔS at the set pixel point (i,j) is... cor The adjustment threshold for (i,j) is Y, when |ΔS cor When (i,j)| is greater than Y, adjust the aging score influence coefficient α(i,j) at pixel (i,j). The adjustment process is as follows:

[0045]

[0046] Where Nα(i,j) is the aging score influence coefficient at the new pixel (i,j);

[0047] k is an adjustment coefficient, with a value ranging from 0 to 1;

[0048] Y represents the adjustment threshold;

[0049] When |ΔS cor When (i,j)| is greater than Y, the aging score influence coefficient α(i,j) at the adjusted pixel (i,j) is replaced by the aging score influence coefficient Nα(i,j) at the new pixel (i,j). This allows the system to dynamically adjust according to the actual situation of the pixel. By dynamically adjusting the aging score influence coefficient, the signal strength of the entire digital image is kept consistent, avoiding image distortion and weak signal strength caused by aging, and improving the clarity and uniformity of the digital image.

[0050] Optionally, the laser in the laser source module is a high-stability semiconductor laser with a wavelength in the range of 600-700nm, ensuring efficient excitation of the imaging plate.

[0051] Optionally, the signal acquisition module includes a photodetector and a high-speed analog-to-digital converter. The photodetector is used to collect the light signal emitted by the imaging plate module, and the high-speed analog-to-digital converter performs digital processing on the light signal.

[0052] Optionally, the data storage module is used to store system equipment operating data, digital image data, and environmental data.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0054] I. This invention uses an aging analysis module to comprehensively analyze the aging degree of the imaging plate by combining its usage time and temperature and humidity data during use, and quantifies the results. This allows staff to understand the aging status of the imaging plate and make reasonable adjustments to the analysis data based on the aging status in subsequent analyses, reducing the negative impact of aging effects on image quality. Furthermore, the uniformity evaluation module assesses the average pixel deviation rate of different pixels in the digital image. By comparing each pixel with the overall average value, the larger the ratio, the greater the deviation of the pixel's signal value from the average value, indicating uneven coating of the imaging plate or problems in the imaging process. By introducing aging factors, the accuracy of the average pixel deviation rate is further improved, thereby improving the accuracy of subsequent corrections.

[0055] Second, after obtaining the average pixel deviation rate, this invention automatically corrects the signal intensity at each position of the imaging plate based on the results obtained by the uniformity evaluation module through the automatic correction module. This compensates for image distortion caused by uneven coating and aging, eliminating the need for manual adjustment, saving time, improving the uniformity and image quality of the entire imaging area, ensuring the consistency of signal intensity, reducing errors caused by human intervention, and improving scanning efficiency and image quality. Furthermore, when the adjustment amount of the pixel is too large, it increases the influence of aging factors on the scanning results of the imaging plate, enabling the system to dynamically adjust according to the actual situation of the pixel, further improving the correction accuracy, avoiding image distortion and weak signal intensity caused by accelerated aging, and improving the quality of digital images. Attached Figure Description

[0056] Figure 1 This is a block diagram of the system modules of the present invention;

[0057] Figure 2 This is a schematic diagram of the aging analysis module of the present invention. Detailed Implementation

[0058] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] Example 1:

[0060] Please see Figure 1 and Figure 2 This embodiment provides a technical solution: a novel industrial CR scanner system, including a laser source module, a scanning control module, an imaging plate module, a signal acquisition module, an aging analysis module, a uniformity evaluation module, an automatic correction module, and a data storage module;

[0061] The laser source module includes a laser and optical components used to generate and focus a laser beam;

[0062] Specifically, anti-reflective coatings are deposited on the surfaces of optical components such as lenses and mirrors to reduce surface reflection, and high-transmittance optical materials are selected to reduce energy loss in the optical path.

[0063] The entire optical path system is enclosed in a dark box to avoid interference from ambient light. A light-blocking plate and an aperture are installed in the optical path to block stray light from entering the signal acquisition area. Finally, light-absorbing materials are used to blacken the inner surface of the optical path to reduce reflection.

[0064] The laser in the laser source module is a high-stability semiconductor laser with a wavelength in the range of 600-700nm, ensuring efficient excitation of the imaging plate;

[0065] The scanning control module is used to control the scanning path and speed of the laser to ensure the stability and accuracy of the laser beam;

[0066] Specifically, in order to improve scanning speed while ensuring accuracy, the imaging plate can be divided into multiple regions. By using multi-threading or parallel processing technology, the scanning tasks of different regions of the imaging plate can be performed simultaneously, thereby shortening the scanning time. Taking advantage of the current multi-core processors, the scanning process can be divided into multiple sub-tasks for parallel processing, thereby ensuring accuracy while reducing the overall scanning time.

[0067] The imaging plate module includes an imaging plate, which is used to store X-ray information and receives laser beam scanning to release light signals.

[0068] The signal acquisition module is used to collect optical signals and convert them into electrical signals, which are then digitized to generate digital images.

[0069] The signal acquisition module includes a photodetector and a high-speed analog-to-digital converter. The photodetector is used to collect the light signal emitted by the imaging plate module, and the high-speed analog-to-digital converter is used to digitize the light signal.

[0070] The aging analysis module is used to analyze the degree of aging of the imaging plate based on its usage.

[0071] The uniformity evaluation module is used to evaluate the uniformity deviation of different pixels in a digital image, and the aging degree of the imaging plate is incorporated into the evaluation process to ensure evaluation accuracy.

[0072] The automatic correction module is used to automatically adjust based on the uniformity deviation of different pixels to ensure the uniformity of signal strength.

[0073] More specifically, in this embodiment: the imaging plate in the imaging plate module is made of a highly sensitive material, capable of recording latent image information released by laser excitation. This latent image is the energy stored after X-rays interact with the coating on the surface of the imaging plate. During laser scanning, the imaging plate gradually releases visible light signals after X-ray excitation. The visible light signals released by the imaging plate are collected by the signal acquisition module and converted into electrical signals, then digitally processed to generate digital images. After obtaining the digital images, the aging analysis module analyzes the aging degree of the imaging plate in conjunction with its usage time and environmental data around the imaging plate during use, and quantifies the results. This allows staff to understand the aging status of the imaging plate, and in subsequent analyses, the analysis data can be reasonably adjusted according to the aging status of the imaging plate to reduce the negative impact of aging effects on imaging quality.

[0074] The uniformity evaluation module then assesses the uniformity deviation of different pixels in the digital image. By comparing each pixel with the overall average value, the larger the ratio, the greater the deviation of the pixel's signal value from the average value. This indicates that the imaging plate coating is uneven or there is a problem in the imaging process. The module can detect uneven areas in the image in real time and provide accurate data support for subsequent correction. Finally, the automatic correction module automatically corrects the signal intensity of different pixels based on the results obtained from the uniformity evaluation module. This compensates for image distortion caused by uneven coating and aging, ensures the consistency of signal intensity, avoids errors caused by human intervention, and improves scanning efficiency and image quality.

[0075] Furthermore, the aging analysis module's analysis process is as follows:

[0076]

[0077] Where L is the imaging plate aging score;

[0078] T act This refers to the actual usage time of the imaging plate;

[0079] T max This refers to the maximum usage time of the imaging plate.

[0080] W1 is the usage time impact coefficient, with a value ranging from 0 to 1;

[0081] A ave The average temperature during the use of the imaging plate;

[0082] A sta Standard operating temperature;

[0083] W2 is the temperature influence coefficient, with a value ranging from 0 to 1;

[0084] B aveThe average humidity during the use of the imaging plate;

[0085] B sta Standard operating humidity;

[0086] W3 is the humidity influence coefficient, with a value ranging from 0 to 1;

[0087] Since temperature and humidity significantly affect the performance, lifespan, and stability of the imaging plate, the coating of the optical system may fade or yellow at high temperatures, and may deform, fog, or condense in high humidity environments, which can affect image quality. By incorporating temperature and humidity factors during the use of the imaging plate into the aging analysis module, aging analysis can be made more realistic, enhancing the comprehensiveness and accuracy of the analysis, and helping to predict the actual lifespan and performance degradation of the equipment.

[0088] Specifically, the imaging plate aging score L indicates the degree of aging of the imaging plate. By incorporating temperature and humidity data, it is used to measure the impact of environmental changes on aging. If the temperature deviates from the standard operating range, it will accelerate the degradation of the imaging plate and increase the aging score. Changes in humidity will also have a similar effect. The smaller the imaging plate aging score L, the better the performance of the imaging plate equipment and the smaller the impact on the imaging plate. Conversely, the larger the score L, the worse the performance and the greater the impact on the imaging plate.

[0089] Furthermore, the uniformity assessment module's evaluation process is as follows:

[0090]

[0091] Where U(i,j) is the average pixel deviation rate at pixel (i,j), which represents the ratio of the pixel value at that position to the average pixel value;

[0092] S(i,j) is the pixel value at pixel (i,j);

[0093] L represents the aging score of the imaging plate, with a value ranging from 0 to 1;

[0094] α(i,j) is the aging score influence coefficient at pixel (i,j), and its value ranges from 0 to 1;

[0095] This is the average pixel value;

[0096] M represents the number of pixels in the vertical direction, indicating the height of the imaging panel, i.e., the number of rows;

[0097] N is the number of pixels in the horizontal direction, representing the width of the imaging panel, i.e., the number of columns;

[0098] M×N represents the total number of pixels;

[0099] Because the coating of an imaging plate can become uneven due to prolonged use or changes in environmental conditions, this unevenness can lead to changes in the reflection and absorption of the laser beam during scanning, thus affecting the brightness and contrast of the image. By incorporating an aging factor into the uniformity assessment process, the impact of aging on the uniformity of the imaging plate coating, signal strength, and pixel distribution can be accurately assessed and differentiated. The aging of an imaging plate is typically a gradual process that affects different areas of the plate. If an aging factor is not incorporated and correction is only performed based on current pixel value differences, the pixel deviation rate of the imaging plate may become distorted due to aging changes, making it impossible to properly compensate for aged areas and reducing the accuracy of subsequent corrections.

[0100] Specifically, the average pixel deviation rate U(i,j) at pixel (i,j) is used to measure the difference between the signal strength at each position on the imaging plate and the average signal strength of the entire imaging plate. The larger the average pixel deviation rate U(i,j) at pixel (i,j), the greater the difference between the pixel value at pixel (i,j) and the average value, and the more uneven the distribution of the imaging plate coating. Conversely, the smaller the difference between the pixel value at pixel (i,j) and the average value, and the more uniform the distribution of the imaging plate coating, the easier it is for staff to quickly understand the location of areas with uneven signal strength distribution on the imaging plate.

[0101] Furthermore, the calibration module calibration process is as follows:

[0102] ΔS cor (i,j)=S(i,j)×[β×U(i,j)-1]

[0103] Where ΔS cor (i,j) represents the adjustment amount at pixel (i,j);

[0104] S(i,j) is the pixel value at pixel (i,j);

[0105] U(i,j) is the average pixel deviation rate at pixel (i,j);

[0106] β is the average pixel deviation rate influence coefficient, which ranges from 0 to 1, representing the correction intensity;

[0107] Specifically, the adjustment amount ΔS at pixel (i,j) cor (i,j) represents the amount that needs to be adjusted based on the original pixel value. When the adjustment amount ΔS at pixel (i,j) is... cor When (i,j) is greater than 0, it indicates that the signal strength needs to be increased. When the adjustment amount ΔS at pixel (i,j) is greater than 0, it indicates that the signal strength needs to be increased. corWhen (i,j) is less than 0, it indicates that the signal strength needs to be reduced. After obtaining the average pixel deviation rate U(i,j) at pixel (i,j), the signal strength at each position of the imaging plate is automatically corrected to compensate for the signal strength changes caused by coating inhomogeneity and aging. No manual adjustment is required, saving time and improving the uniformity and image quality of the entire imaging area.

[0108] Furthermore, the adjustment amount ΔS at pixel (i,j) is set. cor The adjustment threshold for (i,j) is Y, when |ΔS cor When (i,j)| is greater than Y, adjust the aging score influence coefficient α(i,j) at pixel (i,j). The adjustment process is as follows:

[0109]

[0110] Where Nα(i,j) is the aging score influence coefficient at the new pixel (i,j);

[0111] k is an adjustment coefficient, with a value ranging from 0 to 1;

[0112] Y represents the adjustment threshold;

[0113] Specifically, when |ΔS cor When (i,j)| is greater than Y, it indicates that the pixel value of pixel (i,j) has changed significantly, seriously affecting the quality of the imaging plate. At this time, it is necessary to increase the influence of aging factor on the scanning results of the imaging plate to reduce the compensation intensity at this position and avoid image distortion caused by overcompensation. The aging score influence coefficient Nα(i,j) at the new pixel (i,j) is used to replace the aging score influence coefficient α(i,j) at the adjusted pixel (i,j), so that the system can dynamically adjust according to the actual situation of the pixel. By dynamically adjusting the aging score influence coefficient, the signal strength of the entire digital image is kept consistent, further improving the correction accuracy, avoiding image distortion and weak signal strength caused by aging, and improving the quality and uniformity of the digital image.

[0114] Furthermore, the data storage module is used to save system equipment operating data, digital image data, and environmental data.

[0115] Specifically, the data stored in the data storage module can be queried later, such as the usage time of the imaging plate and environmental data during use, as well as the device configuration data, for subsequent system use.

[0116] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An industrial CR scanner system, characterized in that, It includes a laser source module, a scanning control module, an imaging plate module, a signal acquisition module, an aging analysis module, a uniformity assessment module, an automatic correction module, and a data storage module; The laser source module includes a laser and optical components for generating and focusing a laser beam; The scanning control module is used to control the scanning path and speed of the laser to ensure the stability and accuracy of the laser beam; The imaging plate module includes an imaging plate, which receives a laser beam scan and emits a light signal. The signal acquisition module is used to collect optical signals and convert them into electrical signals, and then perform digital processing to generate digital images; The aging analysis module is used to analyze the degree of aging of the imaging plate based on its usage. The uniformity evaluation module is used to evaluate the uniformity deviation of different pixels in a digital image, and the aging degree of the imaging plate is incorporated into the evaluation process to ensure evaluation accuracy. The automatic correction module is used to automatically adjust based on the uniformity deviation of different pixels to ensure the uniformity of signal strength.

2. The industrial CR scanner system according to claim 1, characterized in that: The aging analysis module performs the following analysis: Where L is the imaging plate aging score; T act This refers to the actual usage time of the imaging plate; T max This refers to the maximum usage time of the imaging plate. W1 is the usage time impact coefficient, with a value ranging from 0 to 1; A ave The average temperature during the use of the imaging plate; A sta Standard operating temperature; W2 is the temperature influence coefficient, with a value ranging from 0 to 1; B ave The average humidity during the use of the imaging plate; B sta Standard operating humidity; W3 is the humidity influence coefficient, with a value ranging from 0 to 1; The imaging plate aging score L indicates the degree of aging of the imaging plate. By incorporating temperature and humidity data, it is used to represent the impact of environmental changes on aging. The smaller the imaging plate aging score L, the better the performance of the imaging plate equipment, and vice versa.

3. The industrial CR scanner system according to claim 2, characterized in that: The uniformity evaluation module performs the following evaluation process: Where U(i,j) is the average pixel deviation rate at pixel (i,j), which represents the ratio of the pixel value at that position to the average pixel value; S(i,j) is the pixel value at pixel (i,j); L represents the aging score of the imaging plate, with a value ranging from 0 to 1; α(i,j) is the aging score influence coefficient at pixel (i,j), and its value ranges from 0 to 1; This is the average pixel value; M represents the number of pixels in the vertical direction, indicating the height of the imaging panel, i.e., the number of rows; N is the number of pixels in the horizontal direction, representing the width of the imaging panel, i.e., the number of columns; M×N represents the total number of pixels; The average pixel deviation rate U(i,j) at pixel (i,j) is used to measure the difference between the signal strength at each position of the imaging plate and the average signal strength of the entire imaging plate. The larger the average pixel deviation rate U(i,j) at pixel (i,j), the greater the difference between the pixel value at pixel (i,j) and the average value, and the more uneven the distribution of the imaging plate coating. Conversely, the smaller the difference between the pixel value at pixel (i,j) and the average value, the more uniform the distribution of the imaging plate coating.

4. The industrial CR scanner system according to claim 3, characterized in that: The calibration process of the calibration module is as follows: Where ΔS cor (i,j) represents the adjustment amount at pixel (i,j); S(i,j) is the pixel value at pixel (i,j); U(i,j) is the average pixel deviation rate at pixel (i,j); β is the average pixel deviation rate influence coefficient, which ranges from 0 to 1, representing the correction intensity; The adjustment amount ΔS at pixel (i,j) cor (i,j) represents the amount that needs to be adjusted based on the original pixel value. When the adjustment amount ΔS at pixel (i,j) is... cor When (i,j) is greater than 0, it indicates that the signal strength needs to be increased. When the adjustment amount ΔS at pixel (i,j) is greater than 0, it indicates that the signal strength needs to be increased. cor When (i,j) is less than 0, it means that the signal strength needs to be reduced. The signal strength at each position of the imaging plate is corrected by adjusting the amount to compensate for the signal strength changes caused by coating unevenness and aging.

5. The industrial CR scanner system according to claim 4, characterized in that: Set the adjustment amount ΔS at pixel (i,j) cor The adjustment threshold for (i,j) is Y, when |ΔS cor When (i,j) is greater than Y, adjust the aging score influence coefficient α(i,j) at pixel (i,j). The adjustment process is as follows: Where Nα(i,j) is the aging score influence coefficient at the new pixel (i,j); k is an adjustment coefficient, with a value ranging from 0 to 1; Y represents the adjustment threshold; When |ΔS cor When (i,j) is greater than Y, the aging score influence coefficient α(i,j) at the adjusted pixel (i,j) is replaced by the aging score influence coefficient Nα(i,j) at the new pixel (i,j). This allows the system to dynamically adjust according to the actual situation of the pixel. By dynamically adjusting the aging score influence coefficient, the signal strength of the entire digital image is kept consistent, avoiding image distortion and weak signal strength caused by aging, and improving the clarity and uniformity of the digital image.

6. The industrial CR scanner system according to claim 1, characterized in that: The laser in the laser source module is a high-stability semiconductor laser with a wavelength in the range of 600-700nm, ensuring efficient excitation of the imaging plate.

7. The industrial CR scanner system according to claim 1, characterized in that: The signal acquisition module includes a photodetector and a high-speed analog-to-digital converter. The photodetector is used to collect the light signal emitted by the imaging plate module, and the high-speed analog-to-digital converter performs digital processing on the light signal.

8. The industrial CR scanner system according to claim 1, characterized in that: The data storage module is used to save system equipment operation data, digital image data, and environmental data.

Images