Scanning report processing method, device, storage medium and equipment based on scanner

Abstract

The present invention discloses a scanning report processing method, device, storage medium and equipment based on a scanner, and relates to the technical field of electronic digital data processing. The method comprises the following steps: obtaining image quality data corresponding to an image to be scanned, analyzing the quality of the image to be scanned according to the image quality data to determine whether to adjust the image; after the image adjustment is qualified, scanning the image to be scanned by a scanner to obtain a scanned image, analyzing the quality of the scanned image according to the acquired scanning quality data to determine whether to adjust the scanning position; after the scanning position adjustment is qualified, obtaining scanning display impact data, and determining whether to adjust the equipment according to the scanning display impact data. The present invention determines whether to adjust the equipment according to the scanning display impact data, thereby achieving the effect of improving the image scanning quality in the image scanning report processing, and solving the problem of poor scanning quality in the image scanning report processing in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to a scanning report processing method, device, storage medium and equipment based on a scanner. Background Art

[0002] Scan report processing refers to the process of converting paper documents, pictures or other physical materials into digital images using scanners, and performing a series of optimization and editing on these images to achieve the purpose of information extraction, storage, transmission and management. With the advent of the digital age, scan report processing technology has been widely used in various fields, such as law, medical care, education, finance, etc. Scanners are the basic equipment for scan report processing. Common scanning devices include flatbed scanners, sheet-fed scanners, handheld scanners, and high-speed scanners. These devices capture and convert images and text information on paper documents into digital signals through optical principles. Among them, flatbed scanners are often used for scanning high-quality images due to their high precision and good color reproduction capabilities. However, in actual use, the quality of the scanned images obtained by flatbed scanners may have problems, so a better scan report processing method is needed.

[0003] The existing scanning processing system obtains the scanned image by performing background removal, color adjustment, contrast enhancement, etc. on the image after scanning, thereby realizing the scanning processing function.

[0004] For example, the invention patent with announcement number: CN117874652B announces a scanner fault detection method and system, including: obtaining a scanner imaging data set of historical patients, obtaining high-frequency information values ​​and low-frequency information values ​​of the scanner imaging image, calculating the correlation between the curves of the high-frequency information values ​​and the low-frequency information values ​​corresponding to the characteristic values ​​of the scanner imaging image, classifying the sequence of correlations, calculating the preferred degree value of any characteristic value in the spectrum diagram, and preferentially selecting high values ​​of the preferred degree value curve as the characteristic value for isolation tree construction to obtain a significant isolation forest model; inputting the scanner imaging result of the current scanner into the significant isolation forest model to obtain an abnormal judgment result, and then judging the operating status of the current scanner imaging.

[0005] For example, the patent application with publication number: CN113253915A discloses a method, device, medium and scanning equipment for processing scanned image data, including: first scanning the artwork line by line, and writing the image data of different channels of each line obtained by scanning into the memory partition corresponding to the corresponding channel respectively; when the cache area in the memory partition corresponding to the channel is full, the channel image data in the cache area is moved and packaged to obtain a data packet, and finally the data packet is transmitted to the PC terminal.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, during the scanning report processing of the scanner, the quality of the scanned image may be affected by various factors, resulting in poor quality of the scanned image, and there is a problem of poor scanning quality in the image scanning report processing. Summary of the invention

[0007] The embodiments of the present application solve the problem of poor scanning quality in image scanning report processing in the prior art by providing a scanner-based scanning report processing method, device, storage medium and equipment, and achieve an improvement in the image scanning quality in image scanning report processing.

[0008] An embodiment of the present application provides a scanning report processing method based on a scanner, comprising the following steps: acquiring image quality data corresponding to an image to be scanned, analyzing the quality of the image to be scanned based on the image quality data to determine whether image adjustment is to be performed; after the image adjustment is qualified, scanning the image to be scanned by a scanner to obtain a scanned image, analyzing the quality of the scanned image based on the acquired scanning quality data to determine whether scanning position adjustment is to be performed; after the scanning position adjustment is qualified, acquiring scanning display impact data, and determining whether equipment adjustment is to be performed based on the scanning display impact data.

[0009] Furthermore, the image quality data includes: smoothness of the image to be scanned, grayscale variance of the image to be scanned, thickness of the image to be scanned, global contrast of the image to be scanned, reference minimum smoothness, reference minimum grayscale variance, reference minimum thickness and reference minimum global contrast; the specific process of judging whether to perform image adjustment is: obtaining a quality evaluation index of the image to be scanned based on image quality data analysis; the quality evaluation index of the image to be scanned is used to reflect the quality of the image to be scanned; obtaining a preset quality threshold of the image to be scanned from a database, and comparing the preset quality threshold of the image to be scanned obtained in the database with the quality evaluation index of the image to be scanned; when the quality evaluation index of the image to be scanned is greater than the quality threshold of the image to be scanned, no image adjustment is performed; when the quality evaluation index of the image to be scanned is not greater than the quality threshold of the image to be scanned, image adjustment is performed.

[0010] Furthermore, the scanning quality data includes: scanning image resolution, scanning image area, scanning image perceived hash value, peak signal-to-noise ratio, scanner preset resolution, image area to be scanned, perceived hash value of image to be scanned and maximum allowable resolution of scanned image; the specific process of judging whether to adjust the scanning position is: obtaining scanning image quality evaluation index according to the scanning quality data and the quality evaluation index of the image to be scanned after the adjustment is qualified; analyzing whether to adjust the scanning position according to the scanning image quality evaluation index; the scanning image quality evaluation index is used to reflect the accuracy of the position of the image to be scanned.

[0011] Furthermore, the specific process of analyzing whether to adjust the scanning position according to the scanning image quality evaluation index is: obtaining a preset scanning image quality first threshold and a scanning image quality second threshold from a database, comparing the scanning image quality evaluation index with the preset scanning image quality first threshold and the scanning image quality second threshold obtained from the database, and judging whether the scanning image quality evaluation index of the scanned image is greater than the preset scanning image quality first threshold obtained from the database and less than the scanning image quality second threshold; when the scanning image quality evaluation index of the scanned image is greater than the scanning image quality first threshold obtained from the database and less than the scanning image quality second threshold, no scanning position adjustment is performed; when the scanning image quality evaluation index of the scanned image is not greater than the preset scanning image quality first threshold obtained from the database or not less than the scanning image quality second threshold, scanning position adjustment is performed.

[0012] Furthermore, the scanning display influencing data includes: scanning image pixel density, display image resolution, display image edge sharpness, number of dust spots in the image to be scanned, preset target pixel density, scanning image resolution and scanning image edge sharpness; the specific process of judging whether to adjust the equipment is as follows: obtaining a scanning observation qualification coefficient according to the scanning display influencing data and the scanning image quality evaluation index of the scanned image after the scanning position adjustment is qualified; analyzing whether to adjust the equipment according to the scanning observation qualification coefficient; the scanning observation qualification coefficient is used to reflect the qualification degree of the scanning equipment.

[0013] Furthermore, the specific process of analyzing whether to perform equipment adjustment based on the scanning observation qualified degree assessment coefficient is: obtaining a preset scanning observation first threshold and a scanning observation second threshold from a database, comparing the scanning observation qualified degree assessment coefficient with the preset scanning observation first threshold and the scanning observation second threshold obtained from the database, and analyzing whether the scanning observation qualified degree assessment coefficient is greater than the scanning observation first threshold and less than the scanning observation second threshold; when the scanning observation qualified degree assessment coefficient is greater than the scanning observation first threshold and less than the scanning observation second threshold, no equipment adjustment is performed; when the scanning observation qualified degree assessment coefficient is not greater than the scanning observation first threshold or the scanning observation qualified degree assessment coefficient is not less than the scanning observation second threshold, equipment adjustment is performed.

[0014] Furthermore, the specific limiting expression of the quality evaluation index of the image to be scanned is: ; In the formula, is represented as the image quality evaluation index of the image to be scanned, WH is represented as the image smoothness of the image to be scanned, WZ is represented as the image grayscale variance of the image to be scanned, WD is represented as the image thickness of the image to be scanned, WB is represented as the image global contrast of the image to be scanned, BH is represented as the reference minimum smoothness of the image to be scanned, BZ is represented as the reference minimum grayscale variance of the image to be scanned, BD is represented as the reference minimum thickness of the image to be scanned, BB is represented as the reference minimum global contrast of the image to be scanned, It is expressed as the value range of the thickness of the image to be scanned. It is expressed as the range of the smoothness of the image to be scanned. It is expressed as the value range of the grayscale variance of the image to be scanned, and e is expressed as a natural constant.

[0015] An embodiment of the present application provides a scanner-based scanning report processing device, including: a data acquisition device, a memory, a processor and an analysis and adjustment module: wherein the data acquisition device is used to acquire image quality data, scanning quality data and scanning display impact data; the memory is used to store image quality data, scanning quality data, scanning display impact data, quality assessment indicators of images to be scanned, scanning image quality assessment indicators and scanning observation qualification evaluation coefficients; the processor is used to analyze the image quality assessment indicators of images to be scanned, scanning image quality assessment indicators and scanning observation qualification evaluation coefficients according to the image quality data, scanning quality data and scanning display impact data; the analysis and adjustment module is used to analyze whether to perform image adjustment, scanning position adjustment and equipment adjustment according to the quality assessment indicators of images to be scanned, scanning image quality assessment indicators and scanning observation qualification evaluation coefficients.

[0016] An embodiment of the present application provides a computer-readable storage medium for storing a program, and when the program is executed by a processor, the scanner-based scanning report processing method is implemented.

[0017] An embodiment of the present application provides a scanner-based scan report processing device, comprising: a processor and a memory for storing instructions executable by the processor; when the processor is configured to execute the instructions, the electronic device implements the scanner-based scan report processing method.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By acquiring image quality data corresponding to the image to be scanned, analyzing the quality of the image to be scanned according to the image quality data to determine whether to adjust the image, after the image adjustment is qualified, scanning the image to be scanned by a scanner to obtain a scanned image, analyzing the quality of the scanned image according to the acquired scan quality data to determine whether to adjust the scanning position, after the scan position adjustment is qualified, acquiring scan display impact data, thereby determining whether to adjust the equipment according to the scan display impact data, thereby achieving the improvement of the scanning quality of image scanning report processing, and effectively solving the problem of poor scanning quality in image scanning report processing in the prior art.

[0019] 2. The quality evaluation index of the image to be scanned is obtained through image quality data analysis, and then the preset quality threshold of the image to be scanned in the database is compared with the quality evaluation index of the image to be scanned to analyze whether image adjustment is required, thereby achieving more accurate scanning of the image to be scanned.

[0020] 3. The scanning image quality evaluation index of the scanned image after the scanning display influences the data and the scanning position is adjusted to obtain the scanning observation qualification evaluation coefficient, and then analyze whether to adjust the equipment according to the scanning observation qualification evaluation coefficient, thereby improving the display effect of the scanned image. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flowchart of a scanning report processing method based on a scanner provided in an embodiment of the present application; Figure 2 A structural diagram of a scanner-based scan report processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The embodiments of the present application solve the problem of poor scanning quality in image scanning report processing in the prior art by providing a scanner-based scanning report processing method, device, storage medium and equipment. By obtaining image quality data corresponding to the image to be scanned, the quality of the image to be scanned is analyzed according to the image quality data to determine whether to adjust the image. After the image adjustment is qualified, the image to be scanned is scanned by a scanner to obtain a scanned image. The quality of the scanned image is analyzed according to the obtained scanning quality data to determine whether to adjust the scanning position. After the scanning position adjustment is qualified, scanning display impact data is obtained, so as to determine whether to adjust the equipment according to the scanning display impact data, thereby achieving improved scanning quality in image scanning report processing.

[0023] The technical solution in the embodiment of the present application is to solve the problem of poor scanning quality in the above-mentioned image scanning report processing, and the overall idea is as follows: By acquiring image quality data corresponding to the image to be scanned, the quality of the image to be scanned is analyzed based on the image quality data to determine whether image adjustment is to be performed; then, after the image adjustment is qualified, the image to be scanned is scanned by a scanner to obtain a scanned image, and the quality of the scanned image is analyzed based on the acquired scan quality data to determine whether scanning position adjustment is to be performed; thus, after the scanning position adjustment is qualified, scanning display impact data is acquired, and based on the scanning display impact data, it is determined whether equipment adjustment is to be performed, thereby achieving the effect of improving the image scanning quality in image scanning report processing.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0025] like Figure 1 As shown, it is a flowchart of a scanner-based scan report processing method provided in an embodiment of the present application. The method is applied to a scanner-based scan report processing device, and the method includes the following steps: obtaining image quality data corresponding to an image to be scanned, and analyzing the quality of the image to be scanned according to the image quality data to determine whether to perform image adjustment; after the image adjustment is qualified, scanning the image to be scanned by a scanner to obtain a scanned image, and analyzing the quality of the scanned image according to the obtained scan quality data to determine whether to adjust the scan position; after the scan position adjustment is qualified, obtaining scan display impact data, and determining whether to perform device adjustment according to the scan display impact data.

[0026] It should be supplemented that the image quality data includes: smoothness of the image to be scanned, grayscale variance of the image to be scanned, thickness of the image to be scanned, global contrast of the image to be scanned, reference minimum smoothness, reference minimum grayscale variance, reference minimum thickness and reference minimum global contrast; the specific process of judging whether to perform image adjustment is: obtaining a quality evaluation index of the image to be scanned based on image quality data analysis; the quality evaluation index of the image to be scanned is used to reflect the quality of the image to be scanned; obtaining a preset quality threshold of the image to be scanned from a database, and comparing the preset quality threshold of the image to be scanned obtained from the database with the quality evaluation index of the image to be scanned; when the quality evaluation index of the image to be scanned is greater than the quality threshold of the image to be scanned, no image adjustment is performed; when the quality evaluation index of the image to be scanned is not greater than the quality threshold of the image to be scanned, image adjustment is performed.

[0027] In this embodiment, when the quality evaluation index of the image to be scanned is not greater than the quality threshold of the image to be scanned, it indicates that the quality of the image to be scanned is unqualified and is not suitable for scanning, and image adjustment is required.

[0028] The smoothness of the image to be scanned represents the smoothness of the image to be scanned; the grayscale variance of the image to be scanned represents the grayscale variance of the image to be scanned; the thickness of the image to be scanned represents the thickness of the image to be scanned; the global contrast of the image to be scanned represents the global contrast of the image to be scanned; the reference minimum smoothness represents the minimum smoothness corresponding to the historical time period when the scanner obtains a qualified scanned image based on the historical image; the reference minimum grayscale variance represents the minimum grayscale variance corresponding to the historical time period when the scanner obtains a qualified scanned image based on the historical image; the reference minimum thickness represents the minimum thickness corresponding to the historical time period when the scanner obtains a qualified scanned image based on the historical image; the reference minimum global contrast represents the minimum global contrast corresponding to the historical time period when the scanner obtains a qualified scanned image based on the historical image.

[0029] Get the image of the image to be scanned, calculate the standard deviation of the image pixel value through the image processing software on the computer, and use it as the smoothness of the image to be scanned. Convert the image to a grayscale image, and then use the image processing software to calculate the grayscale value difference between each pixel and its neighboring pixels to obtain the grayscale variance, which is the grayscale variance of the image to be scanned. Use the image processing software to calculate the average brightness value of the bright and dark areas in the image, and then calculate the difference to obtain the global contrast of the image to be scanned. Use the thickness measurement function of the scanner to directly measure the image to be scanned or use a special thickness measurement tool (such as a thickness gauge) to measure the thickness of the paper image to be scanned to obtain the thickness of the image to be scanned.

[0030] The smoothness, grayscale variance, thickness and global contrast of the image to be scanned when the scanner obtains a qualified scanned image according to the image to be scanned in the historical time period are obtained from the database and sorted by size to obtain the minimum smoothness, grayscale variance, thickness and global contrast, which are the reference minimum smoothness, reference minimum grayscale variance, reference minimum thickness and reference minimum global contrast.

[0031] A quality evaluation index of the image to be scanned is obtained based on the acquired image quality data, so that the quality of the image to be scanned is more accurately analyzed based on the quality evaluation index of the image to be scanned, and then the image adjustment is more accurately performed based on the quality of the image to be scanned, thereby improving the quality of the image to be scanned, thereby making the quality of the scanned image higher, which is conducive to improving the scanning quality of the scanned image report processing.

[0032] Furthermore, the specific limiting expression of the quality evaluation index of the image to be scanned is: ; In the formula, is represented as the image quality evaluation index of the image to be scanned, WH is represented as the image smoothness of the image to be scanned, WZ is represented as the image grayscale variance of the image to be scanned, WD is represented as the image thickness of the image to be scanned, WB is represented as the image global contrast of the image to be scanned, BH is represented as the reference minimum smoothness of the image to be scanned, BZ is represented as the reference minimum grayscale variance of the image to be scanned, BD is represented as the reference minimum thickness of the image to be scanned, BB is represented as the reference minimum global contrast of the image to be scanned, It is expressed as the value range of the thickness of the image to be scanned. It is expressed as the range of the smoothness of the image to be scanned. Represents the value range of the grayscale variance of the image to be scanned.

[0033] In this embodiment, It is represented as the value range of the thickness of the image to be scanned, which is represented by the range between the minimum image thickness corresponding to the preset maximum scanning processing time and the maximum image thickness corresponding to the preset minimum scanning processing time. It is represented as the value range of the smoothness of the image to be scanned, which is the range between the preset minimum smoothness of the image to be scanned and the preset maximum smoothness of the image to be scanned. It is represented as a value range of the grayscale variance of the image to be scanned, and is represented by a range between a preset minimum grayscale variance of the image to be scanned and a preset maximum grayscale variance of the image to be scanned.

[0034] When the smoothness of the image to be scanned, the thickness of the image to be scanned, and the grayscale variance of the image to be scanned meet the above conditions, the quality evaluation index of the image to be scanned is obtained according to the specific restriction expression of the quality evaluation index of the image to be scanned, and the image is adjusted according to the quality evaluation index of the image to be scanned. When the smoothness of the image to be scanned, the thickness of the image to be scanned, and the grayscale variance of the image to be scanned do not meet the above conditions, the image to be scanned is replaced (for example, the image to be scanned is a seal imprint printed on paper, when it is analyzed that the image to be scanned does not meet the above conditions, the paper of the image to be scanned corresponding to the seal imprint is replaced, and a new image to be scanned is obtained by re-stamping) until the above conditions are met.

[0035] Paper with high smoothness is in closer contact with the scanner's scanning head, which is conducive to the uniform transfer of ink or ink marks (although scanning does not involve ink, this principle also applies to the capture of image information during scanning), thereby obtaining a clearer and more accurate scanned image. On the contrary, paper with low smoothness may cause problems such as blurring and distortion in the scanned image. Smoothness is closely related to the clarity and detail retention of the scanned image. Images with large grayscale variance have higher contrast and more information details, which can be captured and restored more accurately during scanning. Images with small grayscale variance may appear monotonous and lack a sense of hierarchy, and the scanning effect will be weakened accordingly. Grayscale variance is closely related to the richness of details and sense of hierarchy of the scanned image. Scanners usually have restrictions on the thickness of paper. Too thick paper may cause the scanning head to be unable to fully sense the image information at the bottom, thus affecting the scanning quality. In addition, thick paper may also cause problems such as paper jams and damage to the scanning head during scanning. Paper thickness is closely related to the compatibility of the scanner, the smoothness of the scanning process, and the integrity of the scanning results. High-contrast images can more clearly show the difference between light and dark parts, making the scanning results more layered and three-dimensional. Low-contrast images may appear blurry and dull, and it is difficult to accurately convey the information of the original image. Global contrast is closely related to the clarity, layering, and color reproduction of the scanned image.

[0036] Smooth images tend to have smaller grayscale variations, so the grayscale variance may be relatively small. Conversely, if the image surface is uneven, with more details or textures, the grayscale variance may be larger. Smooth images are more likely to obtain uniform grayscale distribution when scanning, thereby reducing scanning errors. Uneven images may cause artifacts or distortion in the scanned image.

[0037] Smooth images have smaller grayscale variance, while images with rich details have larger grayscale variance. Images with larger grayscale variance tend to have higher global contrast because the distribution range of grayscale values ​​is wider. Images with larger grayscale variance may contain more information when scanned, but may also increase the difficulty and error of scanning.

[0038] Thinner images or smaller scanning layer thicknesses usually achieve higher spatial resolution, thus presenting image details more clearly. Thicker images or larger scanning layer thicknesses may result in reduced spatial resolution. Thicker images or larger scanning layer thicknesses may require longer scanning times to complete. Too thick or too thin scanning layer thicknesses may result in reduced image quality. The smaller the scanning layer thickness within the qualified range, the better the scanning effect.

[0039] An image with a larger global contrast usually has a larger grayscale variance because the image contains a wider range of grayscale values. An image with a larger global contrast is easier to obtain a clear visual effect when scanning. However, too high a contrast may cause some parts of the image to be too bright or too dark, resulting in loss of detail information.

[0040] The minimum quality evaluation index of the image to be scanned when the scanner obtains a qualified scanned image based on the image to be scanned in the historical time period is obtained from the database, which is the quality threshold of the image to be scanned. When the quality evaluation index of the image to be scanned is greater than the quality threshold of the image to be scanned, it means that the quality of the image to be scanned is qualified and no image adjustment is performed; when the quality evaluation index of the image to be scanned is not greater than the quality threshold of the image to be scanned, it means that the quality of the image to be scanned is unqualified and image adjustment is performed. Image adjustment refers to reminding the staff to perform image adjustment operations. Image adjustment operations refer to placing the image to be scanned on a flat surface before scanning, and pressing the edge of the image to be scanned with a heavy object to ensure that the image to be scanned is completely flat.

[0041] The statistical table of relevant data of the quality evaluation index of the image to be scanned is shown in Table 1, with the smoothness of the image to be scanned, the grayscale variance of the image to be scanned, the thickness of the image to be scanned and the global contrast of the image to be scanned as independent variables, and the quality evaluation index of the image to be scanned as the dependent variable. The reference minimum smoothness is set to 70, the reference minimum grayscale variance is 40, the reference minimum thickness is 0.1 mm and the reference minimum global contrast is 60. Through the analysis of the data in Table 1, it can be seen that when the smoothness of the image to be scanned is greater, the quality evaluation index of the image to be scanned is greater; when the smoothness of the image to be scanned is smaller, the quality evaluation index of the image to be scanned is smaller.

[0042] Table 1 Statistics of relevant data of quality evaluation indicators of scanned images

[0043] From the data analysis of Table 1, it can be seen that when one of the data of the smoothness of the image to be scanned, the grayscale variance of the image to be scanned, the thickness of the image to be scanned, and the global contrast of the image to be scanned becomes larger and the other data remain unchanged, the larger the quality evaluation index of the image to be scanned is, the less image adjustment is required for the image to be scanned, and the smaller the quality evaluation index of the image to be scanned is, the more image adjustment is required for the image to be scanned. By improving the quality of the image to be scanned, the scanning effect of the image to be scanned is improved, thereby improving the scanning quality in the image scanning report processing.

[0044] Furthermore, the scanning quality data includes: scanning image resolution, scanning image area, scanning image perceived hash value, peak signal-to-noise ratio, scanner preset resolution, image area to be scanned, perceived hash value of image to be scanned and maximum allowable resolution of scanned image; the specific process of judging whether to adjust the scanning position is as follows: obtaining scanning image quality evaluation index according to the scanning quality data and the quality evaluation index of the image to be scanned after the adjustment is qualified; analyzing whether to adjust the scanning position according to the scanning image quality evaluation index; the scanning image quality evaluation index is used to reflect the accuracy of the position of the image to be scanned.

[0045] In this embodiment, after the scanner completes scanning, the resolution of the scanned image displayed on the scanner is consulted to obtain the scanned image resolution. The preset resolution of the scanner is obtained by consulting the settings of the scanner.

[0046] Use the measuring tools (such as ruler tool, measuring area tool, etc.) in the image processing software (such as Photoshop, etc.) to draw a rectangle or polygon on the scanned image that completely overlaps with the scanned part. The software will automatically calculate and display the area of ​​the selected area to obtain the area of ​​the scanned image, obtain the image of the image to be scanned, and use the above method to obtain the area of ​​the image to be scanned.

[0047] The hash values ​​of the scanned image and the image to be scanned are calculated by using image processing software (such as Photoshop, GIMP (GNU Image Manipulation Program)) and applying a perceptual hash algorithm (such as average hashing, DCT hashing (Discrete Cosine Transform Hash)) to obtain the corresponding perceptual hash value of the scanned image and the perceptual hash value of the image to be scanned.

[0048] The peak signal-to-noise ratio of the scanned image is obtained through the compression algorithm in the image processing software.

[0049] The scanning image quality evaluation index is obtained by analyzing the scanning quality data such as scanning image resolution, scanning image area, scanning image perceived hash value, peak signal-to-noise ratio, etc., so that the scanning image quality evaluation index is more comprehensive, which is conducive to more accurately analyzing the accuracy of the position of the image to be scanned according to the scanning image quality evaluation index.

[0050] Specifically, Indicates the preset maximum resolution of the scanned image. When the scanner resolution is gradually reduced, the analysis is repeated. Is it established? When it is established, stop adjusting the scanner resolution, analyze the scan image quality evaluation index again, and determine whether to perform scan adjustment based on the scan image quality evaluation index.

[0051] The specific limiting expression of the scanned image quality evaluation index is: ; In the formula, It is represented as the scanned image quality assessment index corresponding to the scanned image, It represents the quality evaluation index of the image to be scanned after the image to be scanned is adjusted to be qualified, SF represents the scanned image resolution corresponding to the scanned image, SM represents the scanned image area corresponding to the scanned image, SD represents the scanned image perception hash value corresponding to the scanned image, SLL represents the peak signal-to-noise ratio, YF represents the preset resolution of the scanner, FM represents the area of ​​the image to be scanned, FD represents the perception hash value of the image to be scanned, It represents the preset maximum resolution of the scanned image, and e represents a natural constant.

[0052] High resolution can capture more image details, including tiny defects and position deviations on paper images. If the paper image is not accurately placed when scanning, high-resolution scanning will more easily reveal these problems. However, too high a resolution may also lead to a decrease in scanning speed and an increase in file size. For the accuracy of position analysis, it is better to select the maximum resolution lower than the preset resolution.

[0053] If the paper image does not completely cover the scanning area or is placed off-center during scanning, the scanned image will be smaller than expected or irregular in shape. This can be used as a basis for judging whether the paper image is placed accurately. On the other hand, if the scanning area is too large and the paper image is small, although it will not affect the judgment of the position, it may lead to reduced scanning efficiency and unnecessary resource consumption.

[0054] If the position of the paper image changes before and after scanning (such as rotation, translation, etc.), its perceptual hash value will also change. Therefore, by comparing the perceptual hash values ​​of the scanned image and the original image, it is possible to indirectly determine whether the position of the paper image is accurate.

[0055] A high PSNR means a higher quality scanned image with less noise. If the paper image is not properly placed during scanning, which causes additional noise during the scanning process (such as uneven lighting, scanner head shaking, etc.), the PSNR of the scanned image may be reduced.

[0056] The scanning image quality evaluation index is obtained by analyzing the scanning quality data, and the scanning position is adjusted according to the scanning image quality evaluation index, so that the scanning position adjustment can be performed more accurately, which is conducive to obtaining a better scanning effect of the image to be scanned.

[0057] Within the physical size limit of the scanner, the higher the resolution of the scanned image, the smaller the required scanning area (i.e. the size of the scanned image) may be to maintain higher clarity within the limited number of pixels. However, this does not mean that there is a direct mathematical relationship between resolution and area, because the size of the scanned image is also limited by the maximum scanning format of the scanner. An increase in resolution generally means that more detail information is contained in the image. Perceptual hashing is an algorithm used for image recognition that generates a unique identifier based on the visual features of the image, using the identifier as the hash value in the formula. Changes in resolution may affect the visual features of the image, thereby changing the perceptual hashing. An increase in resolution may increase the noise in the image, because a higher resolution means that more data points are collected in the same scanning area. However, if the performance of the scanner is qualified and the noise can be effectively suppressed, then the increase in resolution will not have a negative impact on the peak signal-to-noise ratio. The increase in resolution should lead to an increase in the peak signal-to-noise ratio.

[0058] Within the physical size limit of the scanner, there is a certain relationship between the resolution and area of ​​the scanned image. However, this relationship is not absolute, because the size of the scanned image is also limited by the maximum scanning format of the scanner. Changes in the area of ​​the scanned image may affect the visual characteristics of the image, thereby changing the perceptual hash value. For example, if the scanned image is cropped or enlarged, its visual characteristics may change, resulting in a different perceptual hash value. Changes in the area of ​​the scanned image usually do not have a direct impact on the peak signal-to-noise ratio. However, if the scanned image is overly enlarged or reduced, it may cause image quality degradation, thereby indirectly affecting the peak signal-to-noise ratio.

[0059] Changes in the resolution and area of ​​the scanned image may affect the visual features of the image, thereby changing the perceptual hash value. The perceptual hash value mainly reflects the visual features of the image, while the peak signal-to-noise ratio measures the signal-to-noise level of the image. Although there is no direct mathematical relationship between them, high-quality images (i.e., images with a high peak signal-to-noise ratio) usually have more stable perceptual hash values ​​because they are more visually stable and less susceptible to noise interference.

[0060] When the scanner performance is acceptable, the increase in resolution will lead to an increase in the peak signal-to-noise ratio. However, if the scanner performance is insufficient or there is noise interference, the increase in resolution may lead to a decrease in the peak signal-to-noise ratio. Changes in the scanned image area usually do not have a direct impact on the peak signal-to-noise ratio. Although there is no direct mathematical relationship between the peak signal-to-noise ratio and the perceptual hash value, high-quality images generally have more stable perceptual hash values. This is because high-quality images are more visually stable and less susceptible to noise interference, making them more likely to generate consistent perceptual hash values.

[0061] Scan adjustment is performed through scanning image quality evaluation indicators, which improves the quality of the scanned image and is beneficial to improving the scanning quality of image scanning report processing.

[0062] Furthermore, the specific process of analyzing whether to adjust the scanning position according to the scanning image quality evaluation index is as follows: obtaining a preset scanning image quality first threshold and a scanning image quality second threshold from a database, comparing the scanning image quality evaluation index with the preset scanning image quality first threshold and the scanning image quality second threshold obtained from the database, and determining whether the scanning image quality evaluation index of the scanned image is greater than the preset scanning image quality first threshold obtained from the database and less than the scanning image quality second threshold; when the scanning image quality evaluation index of the scanned image is greater than the scanning image quality first threshold obtained from the database and less than the scanning image quality second threshold, no scanning position adjustment is performed; when the scanning image quality evaluation index of the scanned image is not greater than the preset scanning image quality first threshold obtained from the database or is not less than the scanning image quality second threshold, a scanning position adjustment is performed.

[0063] In this embodiment, the scanning image quality evaluation index when the position accuracy of the image to be scanned in the historical time period is qualified is obtained from the database, the scanning image quality evaluation index is sorted by size and the minimum and maximum values ​​therein are obtained, which are respectively used as the first threshold value of the scanning image quality and are less than the second threshold value of the scanning image quality.

[0064] When the scanning image quality evaluation index of the scanned image is greater than the first scanning image quality threshold obtained from the database and less than the second scanning image quality threshold, it indicates that the accuracy of the position of the image to be scanned is qualified, and the scanning position adjustment is not performed; when the scanning image quality evaluation index of the scanned image is not greater than the preset first scanning image quality threshold obtained from the database or is not less than the second scanning image quality threshold, when the scanning image quality evaluation index of the scanned image is not greater than the preset first scanning image quality threshold obtained from the database, the area of ​​the scanned image may be smaller than the area of ​​the image to be scanned, and the corresponding identifier is obtained by using the perceptual hash value algorithm for the scanned image and the image to be scanned, and the identifier is used as the corresponding perceptual hash value. When the area of ​​the scanned image is smaller than the area of ​​the image to be scanned, the perceptual hash value of the scanned image is smaller than the perceptual hash value of the image to be scanned, and the peak signal-to-noise becomes smaller; when the scanning image quality evaluation index of the scanned image is not less than the preset second scanning image quality threshold obtained from the database, the area of ​​the scanned image may be larger than the area of ​​the scanned image, so that the resolution of the scanned image becomes larger, and then the perceptual hash value of the scanned image is greater than the perceptual hash value of the image to be scanned; it indicates that the accuracy of the position of the image to be scanned is unqualified, and the scanning position adjustment is performed.

[0065] Scanning position adjustment means reminding the staff to perform scanning position adjustment operation. Scanning position adjustment operation refers to gradually moving (for example, moving 0.5 cm at a time towards the scanner glass plate) the horizontal and vertical coordinates of the preset position of the image to be scanned so that the width and length of the image to be scanned match the scanning position mark on the scanner.

[0066] By adjusting the scanning position, a better quality scanned image can be obtained, which is beneficial to improving the scanning quality of image scanning report processing.

[0067] Furthermore, the scanning display influencing data include: scanning image pixel density, display image resolution, display image edge sharpness, number of dust spots in the image to be scanned, preset target pixel density, scanning image resolution and scanning image edge sharpness; the specific process of judging whether to adjust the equipment is as follows: obtaining a scanning observation qualification degree assessment coefficient according to the scanning display influencing data and the scanning image quality assessment index of the scanned image after the scanning position adjustment is qualified; analyzing whether to adjust the equipment according to the scanning observation qualification degree assessment coefficient; the scanning observation qualification degree assessment coefficient is used to reflect the qualification degree of the scanning equipment.

[0068] In this embodiment, image analysis software (such as ACDSee, Photoshop, etc.) is used to detect and identify dust spots on the scanned image and count the dust spots in the image to obtain the number of dust spots on the scanned image. Image editing software or professional image analysis software (such as Photoshop, ACDSee, etc.) is used to view the pixel information of the scanned image to obtain the pixel density of the image (usually expressed in PPI, i.e., pixels per inch). On the computer, right-click on a blank space on the desktop and select "Display Settings" or a similar option to view the resolution of the current display. The edge sharpness of the scanned image on the display is obtained by professional image quality testing software (such as Photoshop) to obtain the edge sharpness of the display image. The same as the detection method of the number of dust spots on the scanned image, the image analysis software is used to detect dust spots on the image to be scanned to obtain the number of dust spots on the image to be scanned. The resolution of the scanned image is checked in the scanner driver or scanning software to obtain the resolution of the scanned image. The edge sharpness of the scanned image is measured by professional image quality testing software (such as Photoshop).

[0069] Specifically, the specific limiting expression of the scanning observation qualification evaluation coefficient is: ; In the formula, Expressed as the scanning observation qualification evaluation coefficient, It is a scanning image quality evaluation index of the scanned image after the scanning position is adjusted to be qualified, XH is represented by the number of dust points in the scanned image, XX is represented by the pixel density of the scanned image, XP is represented by the image resolution of the display, XD is represented by the edge sharpness of the display image, MH is represented by the number of dust points in the image to be scanned, MX is represented by the preset target pixel density, MP is represented by the scanned image resolution, MD is represented by the edge sharpness of the scanned image, and e is represented by a natural constant.

[0070] The cleanliness of the scanner is evaluated by analyzing the size relationship between the number of dust points in the scanned image and the number of dust points in the image to be scanned. When the number of dust points in the scanned image is greater than the number of dust points in the image to be scanned, it means that the scanner is not clean enough, and there may be dust, etc. that makes the number of dust points in the scanned image greater than the number of dust points in the image to be scanned. By analyzing the pixel density of the scanned image and the preset target pixel density (set according to the scanning requirements), it is evaluated whether the resolution setting of the scanner is appropriate. When the pixel density of the scanned image is closer to the preset target pixel density, the resolution setting of the scanner is more appropriate, so as to accurately view the details of the scanned image. By analyzing the display image resolution, the display image edge sharpness, the scanned image resolution and the scanned image edge sharpness, it is evaluated whether the resolution of the display is qualified. When the display image resolution and the display image edge sharpness are closer to the scanned image resolution and the scanned image edge sharpness respectively, the resolution of the display is more qualified.

[0071] The scanning observation qualification degree assessment coefficient is obtained by analyzing the scanning display influencing data such as the number of dust points in the scanning image, the pixel density of the scanning image, the display image resolution, and the display image edge sharpness. This makes the obtained scanning observation qualification degree assessment coefficient more comprehensive and specific, which is conducive to more accurately analyzing the qualification degree of the scanning equipment based on the scanning observation qualification degree assessment coefficient.

[0072] Furthermore, the specific process of analyzing whether to make equipment adjustments based on the scanning observation qualified degree assessment coefficient is as follows: obtaining the preset scanning observation first threshold and scanning observation second threshold from the database, comparing the scanning observation qualified degree assessment coefficient with the preset scanning observation first threshold and scanning observation second threshold obtained from the database, and analyzing whether the scanning observation qualified degree assessment coefficient is greater than the scanning observation first threshold and less than the scanning observation second threshold; when the scanning observation qualified degree assessment coefficient is greater than the scanning observation first threshold and less than the scanning observation second threshold, no equipment adjustment is made; when the scanning observation qualified degree assessment coefficient is not greater than the scanning observation first threshold or the scanning observation qualified degree assessment coefficient is not less than the scanning observation second threshold, equipment adjustment is made.

[0073] In this embodiment, when the scanning and observation qualification evaluation coefficient is not greater than the first scanning and observation threshold, the pixel density of the scanned image, the display image resolution, and the display image edge sharpness may be less than the preset target pixel density, scanning image resolution, and scanning image edge sharpness, and the display effect of the scanned image is greatly different from the scanned image; when the scanning and observation qualification evaluation coefficient is not less than the second scanning and observation threshold, the pixel density of the scanned image, the display image resolution, and the display image edge sharpness may be greater than the preset target pixel density, scanning image resolution, and scanning image edge sharpness, and the display effect of the scanned image on the display is greatly different from the scanned image itself. At the same time, when the possible number of dust points in the scanned image is greater than the number of dust points in the image to be scanned, it indicates that the scanner is not clean enough and there may be dust, etc., which affects the display effect of the scanned image.

[0074] In this embodiment, the scanning observation qualification evaluation coefficients when the historical scanning images in the historical time period show qualified are obtained from the database, and the scanning observation qualification evaluation coefficients are sorted to obtain the minimum and maximum values ​​therein, which are used as the first scanning observation threshold and the second scanning observation threshold.

[0075] When the scanning observation qualification evaluation coefficient is greater than the first scanning observation threshold and less than the second scanning observation threshold, it indicates that the scanning equipment is qualified and no equipment adjustment is performed; when the scanning observation qualification evaluation coefficient is not greater than the first scanning observation threshold or the scanning observation qualification evaluation coefficient is not less than the second scanning observation threshold, it indicates that the scanning equipment is unqualified and equipment adjustment is performed.

[0076] Equipment adjustment includes scanner resolution adjustment, display adjustment, and reminding staff to perform scanner cleaning adjustment. Scanner cleaning adjustment refers to cleaning the glass plate of the scanner, scanner resolution adjustment refers to adjusting the scanner resolution step by step, and display adjustment refers to adjusting the display resolution step by step. After adjustment, when the scan observation qualification evaluation coefficient is greater than the scan observation first threshold and less than the scan observation second threshold, stop equipment adjustment.

[0077] After the equipment adjustment is completed, the scanned images and other data are integrated into the scan report to form a complete report content. Name the scanned files and store them in categories for easy retrieval in the future. You can classify them by date, project or type. Store the scan reports in a safe place, such as an internal server or cloud storage platform. Back up the scan reports regularly to prevent data loss.

[0078] like Figure 2As shown, it is a structural diagram of a scanning report processing device based on a scanner provided in an embodiment of the present application. The scanning report processing device based on a scanner provided in an embodiment of the present application includes: a data acquisition device, a memory, a processor and an analysis and adjustment module: wherein, the data acquisition device: is used to acquire image quality data, scanning quality data and scanning display impact data; the memory: is used to store image quality data, scanning quality data, scanning display impact data, quality evaluation indicators of images to be scanned, scanning image quality evaluation indicators and scanning observation qualification evaluation coefficients; the processor: is used to analyze the quality evaluation indicators of images to be scanned, scanning image quality evaluation indicators and scanning observation qualification evaluation coefficients according to the image quality data, scanning quality data and scanning display impact data; the analysis and adjustment module: is used to analyze whether to perform image adjustment, scanning position adjustment and equipment adjustment according to the quality evaluation indicators of images to be scanned, scanning image quality evaluation indicators and scanning observation qualification evaluation coefficients.

[0079] In this embodiment, the scanning report processing device based on the scanner analyzes and adjusts the relevant content of the image to be scanned, so that the scanning process of the scanner is more accurate and a more accurate scanned image is obtained.

[0080] Among them, an embodiment of the present application provides a computer-readable storage medium for storing a program, and when the program is executed by a processor, a scanning report processing method based on a scanner is implemented.

[0081] An embodiment of the present application provides a scanner-based scan report processing device, including: a processor and a memory for storing processor-executable instructions; when the processor is configured to execute instructions, the electronic device implements a scanner-based scan report processing method.

[0082] In this embodiment, the image to be scanned and the scanning process are adjusted by the scanning report processing device based on the scanner, the image adjustment, the scanning position adjustment and the device adjustment are performed, so that the quality of the image to be scanned and the scanned image is higher.

[0083] The technical solution in the above-mentioned embodiment of the present application obtains image quality data corresponding to the image to be scanned, analyzes the quality of the image to be scanned according to the image quality data to determine whether to adjust the image, and after the image adjustment is qualified, scans the image to be scanned by a scanner to obtain a scanned image, and analyzes the quality of the scanned image according to the obtained scan quality data to determine whether to adjust the scanning position, and after the scanning position adjustment is qualified, obtains scanning display impact data, thereby determining whether to adjust the equipment according to the scanning display impact data, thereby achieving the improvement of the scanning quality of image scanning report processing, and effectively solving the problem of poor scanning quality in image scanning report processing in the prior art.

[0084] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0085] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0086] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0088] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0089] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A scanning report processing method based on a scanner, characterized in that: The following steps are involved: Acquire image quality data corresponding to the image to be scanned, and analyze the quality of the image to be scanned according to the image quality data to determine whether to perform image adjustment; After the image adjustment is qualified, the image to be scanned is scanned by a scanner to obtain a scanned image, and the quality of the scanned image is analyzed according to the acquired scan quality data to determine whether to adjust the scanning position; After the scanning position adjustment is qualified, the scanning display impact data is obtained, and it is determined whether to adjust the equipment based on the scanning display impact data.

2. The scanning report processing method based on a scanner as claimed in claim 1, characterized in that: The image quality data includes: smoothness of the image to be scanned, grayscale variance of the image to be scanned, thickness of the image to be scanned, global contrast of the image to be scanned, reference minimum smoothness, reference minimum grayscale variance, reference minimum thickness and reference minimum global contrast; The specific process of determining whether to perform image adjustment is as follows: Obtaining a quality evaluation index of the image to be scanned according to the image quality data analysis; The quality evaluation index of the image to be scanned is used to reflect the quality of the image to be scanned; Obtaining a preset quality threshold of the image to be scanned from a database, and comparing the preset quality threshold of the image to be scanned obtained from the database with a quality evaluation index of the image to be scanned; When the quality evaluation index of the image to be scanned is greater than the quality threshold of the image to be scanned, no image adjustment is performed; When the quality evaluation index of the image to be scanned is not greater than the quality threshold of the image to be scanned, image adjustment is performed.

3. The scanning report processing method based on a scanner as claimed in claim 1, characterized in that: The scanning quality data includes: scanned image resolution, scanned image area, scanned image perceived hash value, peak signal-to-noise ratio, scanner preset resolution, image area to be scanned, image perceived hash value to be scanned and maximum permissible resolution of the scanned image; The specific process of determining whether to adjust the scanning position is as follows: The scanning image quality evaluation index is obtained by analyzing the scanning quality data and the image quality evaluation index after the image to be scanned is adjusted to be qualified; Analyze whether to adjust the scanning position according to the scanning image quality evaluation index; The scanned image quality evaluation index is used to reflect the accuracy of the position of the image to be scanned.

4. The scanning report processing method based on a scanner as claimed in claim 3, characterized in that: The specific process of analyzing whether to adjust the scanning position according to the scanned image quality evaluation index is as follows: Obtaining a preset first scan image quality threshold and a preset second scan image quality threshold from a database, comparing a scan image quality evaluation index with the preset first scan image quality threshold and the preset second scan image quality threshold obtained from the database, and determining whether the scan image quality evaluation index of the scanned image is greater than the preset first scan image quality threshold obtained from the database and less than the second scan image quality threshold; When the scan image quality evaluation index of the scan image is greater than the first scan image quality threshold obtained from the database and less than the second scan image quality threshold, no scan position adjustment is performed; When the scan image quality evaluation index of the scan image is not greater than a preset first scan image quality threshold obtained from a database or is not less than a second scan image quality threshold, the scan position is adjusted.

5. The scanning report processing method based on a scanner as claimed in claim 1, characterized in that: The scanning display influencing data includes: scanning image pixel density, display image resolution, display image edge sharpness, number of dust points in the image to be scanned, preset target pixel density, scanning image resolution and scanning image edge sharpness; The specific process of determining whether to perform equipment adjustment is as follows: The scanning observation qualification evaluation coefficient is obtained according to the scanning display influence data and the scanning image quality evaluation index of the scanning image after the scanning position adjustment is qualified; Analyze whether to make equipment adjustments based on the scan observation qualification evaluation coefficient; The scanning observation qualification evaluation coefficient is used to reflect the qualification of the scanning device.

6. The scanning report processing method based on a scanner as claimed in claim 5, characterized in that: The specific process of analyzing whether to adjust the equipment according to the scanning observation qualification evaluation coefficient is as follows: Obtaining a preset first scanning observation threshold and a preset second scanning observation threshold from a database, comparing a scanning observation qualification evaluation coefficient with the preset first scanning observation threshold and the preset second scanning observation threshold obtained from the database, and analyzing whether the scanning observation qualification evaluation coefficient is greater than the first scanning observation threshold and less than the second scanning observation threshold; When the scan observation qualification evaluation coefficient is greater than the scan observation first threshold value and less than the scan observation second threshold value, no equipment adjustment is performed; When the scan observation qualification evaluation coefficient is not greater than the scan observation first threshold or the scan observation qualification evaluation coefficient is not less than the scan observation second threshold, the equipment is adjusted.

7. The scanning report processing method based on a scanner as claimed in claim 2, characterized in that: The specific limiting expression of the quality evaluation index of the image to be scanned is: ； In the formula, is represented as the image quality evaluation index of the image to be scanned, WH is represented as the image smoothness of the image to be scanned, WZ is represented as the image grayscale variance of the image to be scanned, WD is represented as the image thickness of the image to be scanned, WB is represented as the image global contrast of the image to be scanned, BH is represented as the reference minimum smoothness of the image to be scanned, BZ is represented as the reference minimum grayscale variance of the image to be scanned, BD is represented as the reference minimum thickness of the image to be scanned, BB is represented as the reference minimum global contrast of the image to be scanned, It is expressed as the value range of the thickness of the image to be scanned. It is expressed as the range of the smoothness of the image to be scanned. It is expressed as the value range of the grayscale variance of the image to be scanned, and e is expressed as a natural constant.

8. A scanning report processing device based on a scanner, applying the scanning report processing method based on a scanner as claimed in any one of claims 1 to 7, characterized in that: include: Data acquisition device, memory, processor and analysis and adjustment module: Wherein, the data acquisition device is used to acquire image quality data, scanning quality data and scanning display impact data; The memory is used to store image quality data, scanning quality data, scanning display impact data, quality evaluation index of the image to be scanned, quality evaluation index of the scanned image and evaluation coefficient of the scanning observation qualification degree; The processor is used to analyze the image quality data, the scanning quality data and the scanning display influence data to obtain the quality evaluation index of the image to be scanned, the quality evaluation index of the scanning image and the scanning observation qualification evaluation coefficient; The analysis and adjustment module is used to analyze whether to perform image adjustment, scanning position adjustment and equipment adjustment according to the quality assessment index of the image to be scanned, the quality assessment index of the scanned image and the scan observation qualification degree assessment coefficient.

9. A computer-readable storage medium for storing a program, characterized in that: When the program is executed by a processor, a scanning report processing method based on a scanner as described in any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: A processor, and a memory for storing instructions executable by the processor; when the processor is configured to execute the instructions, the electronic device implements the scanner-based scanning report processing method as described in any one of claims 1-7.

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