Ultrahigh-definition image transmission system applied to medical endoscope system

Abstract

The invention discloses an ultra-high-definition image transmission system applied to a medical endoscope system, which belongs to the technical field of medical endoscopes and comprises an image acquisition module, an image preprocessing module, a data transmission module, a data processing module, a visual display module and a safe storage module. The problems that an existing endoscope is low in ultra-high-definition image transmission quality, and the ultra-high-definition image of the endoscope cannot be effectively and safely protected, so that the ultra-high-definition image transmission effect of the endoscope is poor are solved, the ultra-high-definition image based on a medical endoscope system is collected, the ultra-high-definition image is preprocessed, and the ultra-high-definition image transmission effect of the endoscope is improved. According to the method, the ultra-high-definition image data is determined, the ultra-high-definition image data is processed, the ultra-high-definition image feature data is determined, and visual display and safety protection are performed on the ultra-high-definition image feature data, so that the ultra-high-definition image transmission quality of the endoscope can be improved, and effective safety protection can be performed on the ultra-high-definition image of the endoscope. The ultra-high-definition image transmission effect of the endoscope can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical endoscopes, in particular to an ultra-high-definition image transmission system applied to a medical endoscope system. BACKGROUND

[0002] A medical endoscope is a medical instrument composed of a bendable part, a light source and a set of lenses, which enters the human body through natural orifices or small incisions made by surgery. When used, the endoscope is introduced into the organ to be examined, allowing direct observation of changes in the relevant parts. The quality of the image directly affects the use of the endoscope and marks the level of endoscope technology.

[0003] A camera applied to a medical endoscope is disclosed in Chinese Patent No. CN209863756U, which comprises a housing, a focusing device at one end of the housing, a connecting joint at the other end of the housing, a CCD module sensor in the housing, a base on which the focusing device is installed, the base being fixed to the housing, a protective glass between the focusing device and the CCD module sensor, the CCD module sensor being connected to a controller through a cable, and the cable being located in the connecting joint. The structure is simple, focusing is convenient, the displayed image is clear and the resolution is high. The technical problems of low resolution and insufficient clarity of the endoscope in the prior art are solved. However, the patent has the following defects:

[0004] The existing endoscope ultra-high-definition image transmission quality is low, and the endoscope ultra-high-definition image cannot be effectively and safely protected, resulting in poor endoscope ultra-high-definition image transmission effect. SUMMARY

[0005] The present application aims to provide an ultra-high-definition image transmission system applied to a medical endoscope system, which can improve the quality of endoscope ultra-high-definition image transmission, effectively and safely protect the endoscope ultra-high-definition image, improve the endoscope ultra-high-definition image transmission effect, and solve the problems raised in the background art.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0007] An ultra-high-definition image transmission system applied to a medical endoscope system, comprising:

[0008] An image acquisition module for acquiring an ultra-high-definition image based on a medical endoscope system;

[0009] An image preprocessing module for preprocessing the ultra-high-definition image and determining ultra-high-definition image data based on the medical endoscope system;

[0010] A data transmission module for transmitting ultra-high-definition image data based on the medical endoscope system;

[0011] a data processing module configured to process the super-high-definition image data based on the medical endoscope system to determine super-high-definition image feature data based on the medical endoscope system;

[0012] a visual display module configured to visually display the super-high-definition image feature data based on the medical endoscope system;

[0013] a secure storage module configured to securely store the super-high-definition image feature data based on the medical endoscope system.

[0014] Preferably, the image acquisition module comprises:

[0015] an LED light source unit configured to provide visible light for the super-high-definition image in the field of view of the medical endoscope;

[0016] an optical filter unit configured to block unwanted incident light and obtain light of a specific wavelength;

[0017] an image capture unit configured to capture the super-high-definition image in the field of view of the medical endoscope in real time to determine the super-high-definition image based on the medical endoscope system.

[0018] Preferably, the image preprocessing module comprises:

[0019] an image enhancement unit configured to enhance useful information in the super-high-definition image based on the medical endoscope system, and make originally unclear images clear, so as to improve image quality, enrich information quantity, and strengthen image interpretation and recognition effect;

[0020] a contrast adjustment unit configured to adjust the contrast of the super-high-definition image based on the medical endoscope system to make the super-high-definition image based on the medical endoscope system lively;

[0021] a resolution adjustment unit configured to adjust the resolution of the super-high-definition image based on the medical endoscope system to make the super-high-definition image based on the medical endoscope system clear, and determine super-high-definition image data based on the medical endoscope system.

[0022] Preferably, the contrast adjustment unit comprises:

[0023] a super-high-definition image extraction module configured to extract the super-high-definition image of each frame obtained by the medical endoscope;

[0024] a remaining pixel block acquisition module configured to exclude the pixel block with a gray value of 255 and the pixel block with a gray value of 0 from the pixel blocks contained in the super-high-definition image of each frame to obtain remaining pixel blocks;

[0025] a gray value maximum and a gray value minimum in the remaining pixel blocks contained in the ultra-high definition image of each frame are extracted;

[0026] a contrast adjustment coefficient is obtained by using the gray value maximum and the gray value minimum in the remaining pixel blocks contained in the ultra-high definition image of each frame, wherein the contrast adjustment coefficient is obtained by the following formula:

[0027]

[0028] wherein f represents the contrast adjustment coefficient; n represents the number of the remaining pixel blocks; D max and D min respectively represent the gray value maximum and the gray value minimum in the remaining pixel blocks; D i represents the gray value of the i-th remaining pixel block;

[0029] a target contrast is obtained by using the contrast adjustment coefficient in combination with the number of pixel blocks with a gray value of 255 and the number of pixel blocks with a gray value of 0 in the pixel blocks contained in the ultra-high definition image of each frame;

[0030] a contrast adjustment is performed on the obtained ultra-high definition image of each frame according to the target contrast.

[0031] Preferably, the target contrast obtaining module comprises:

[0032] a pixel block number obtaining module is configured to extract the corresponding number of pixel blocks with a gray value of 255 and the number of pixel blocks with a gray value of 0 in the pixel blocks contained in the ultra-high definition image of each frame;

[0033] a difference value obtaining module is configured to extract a difference value between the gray value maximum and the gray value of 255 in the remaining pixel blocks;

[0034] a target contrast calculating module is configured to obtain the target contrast by using the difference value and the corresponding number of pixel blocks with a gray value of 255 and the number of pixel blocks with a gray value of 0 in the pixel blocks contained in the ultra-high definition image of each frame in combination with the contrast adjustment coefficient;

[0035] wherein the target contrast is obtained by the following formula:

[0036]

[0037] wherein F m represents the target contrast; F0 represents the original contrast of the ultra-high definition image of each frame; D maxrepresents the maximum value of the gray value in the remaining pixel blocks; D x represents the gray value 255; k represents a compensation coefficient, and the compensation coefficient is obtained by the following formula:

[0038]

[0039] wherein, N 01 represents the number of pixel blocks corresponding to the gray value 255; N 02 represents the number of pixel blocks corresponding to the gray value 0; n represents the number of remaining pixel blocks; and m represents the total number of pixel blocks contained in the ultra-high definition image of each frame.

[0040] Preferably, the data transmission module comprises:

[0041] a data transmitting unit configured to transmit the ultra-high definition image data based on the medical endoscope system;

[0042] a data receiving unit configured to receive the ultra-high definition image data based on the medical endoscope system;

[0043] According to the ultra-high definition image transmission requirement applied to the medical endoscope system, a data transmission link between the data transmitting unit and the data receiving unit is established;

[0044] wherein the data transmitting unit transmits an instruction for establishing the data transmission link to the data receiving unit;

[0045] Upon receiving the instruction for establishing the data transmission link transmitted by the data transmitting unit, the data receiving unit checks whether there is an idle data transmission port in the data receiving unit;

[0046] When there is an idle data transmission port in the data receiving unit, the data receiving unit transmits an instruction for agreeing to establish the data transmission link to the data transmitting unit;

[0047] Upon receiving the instruction for agreeing to establish the data transmission link transmitted by the data receiving unit, the data transmitting unit establishes the data transmission link with the data receiving unit based on the instruction for agreeing to establish the data transmission link;

[0048] The data transmitting unit transmits the ultra-high definition image data based on the medical endoscope system to the data receiving unit;

[0049] Upon receiving the ultra-high definition image data based on the medical endoscope system, the data receiving unit transmits the ultra-high definition image data based on the medical endoscope system to the data processing module.

[0050] Preferably, the data processing module comprises:

[0051] A data searching unit is configured to search for the ultra-high-definition image data based on the medical endoscope system.

[0052] The ultra-high-definition image data based on the medical endoscope system is acquired.

[0053] The ultra-high-definition image data based on the medical endoscope system is searched for based on a sequential searching method.

[0054] The ultra-high-definition image data valuable for the ultra-high-definition image display is determined.

[0055] A feature extraction unit is configured to extract features of the searched ultra-high-definition image data.

[0056] The ultra-high-definition image data valuable for the ultra-high-definition image display after searching is acquired.

[0057] The ultra-high-definition image data valuable for the ultra-high-definition image display after searching is extracted.

[0058] The ultra-high-definition image feature data based on the medical endoscope system is determined.

[0059] Preferably, the searching for the ultra-high-definition image data based on the medical endoscope system is performed by:

[0060] Checking consistency of the ultra-high-definition image data based on the medical endoscope system.

[0061] Checking whether the ultra-high-definition image data is required according to a reasonable value range and mutual relationship of each variable in the ultra-high-definition image data.

[0062] Removing inconsistent data beyond a normal range, logically unreasonable or mutually contradictory in the ultra-high-definition image data.

[0063] Processing invalid values and missing values of the ultra-high-definition image data based on the medical endoscope system.

[0064] Removing invalid data and missing data beyond a normal range, logically unreasonable or mutually contradictory in the ultra-high-definition image data.

[0065] The ultra-high-definition image data valuable for the ultra-high-definition image display is determined.

[0066] Preferably, the visualization display module comprises:

[0067] A data extraction unit is configured to extract the ultra-high-definition image feature data based on the medical endoscope system.

[0068] The ultra-high-definition image feature data based on the medical endoscope system is extracted based on a requirement of the ultra-high-definition image display.

[0069] A data display unit is configured to display the ultra-high definition image feature data based on the medical endoscope system.

[0070] The extracted ultra-high definition image feature data based on the medical endoscope system is displayed in real time, so that the doctor can better understand the structure in the patient's body during the endoscopic examination.

[0071] Preferably, the secure storage module comprises:

[0072] A data storage unit is configured to store the ultra-high definition image feature data based on the medical endoscope system.

[0073] The ultra-high definition image feature data based on the medical endoscope system is acquired.

[0074] The ultra-high definition image feature data based on the medical endoscope system is stored.

[0075] A security protection unit is configured to protect the ultra-high definition image feature data based on the medical endoscope system.

[0076] A security protection scheme is formulated, and the ultra-high definition image feature data based on the medical endoscope system is protected based on the security protection scheme to prevent unauthorized access and leakage of the ultra-high definition image feature data.

[0077] Compared with the prior art, the present application has the following advantages:

[0078] The present application collects the ultra-high definition image based on the medical endoscope system, pre-processes the ultra-high definition image, determines the ultra-high definition image data based on the medical endoscope system, processes the ultra-high definition image data based on the medical endoscope system, determines the ultra-high definition image feature data based on the medical endoscope system, and displays the ultra-high definition image feature data based on the medical endoscope system in real time, so that the doctor can better understand the structure in the patient's body during the endoscopic examination. A security protection scheme is formulated, and the ultra-high definition image feature data based on the medical endoscope system is protected based on the security protection scheme to prevent unauthorized access and leakage of the ultra-high definition image feature data. The present application can improve the transmission quality of the endoscopic ultra-high definition image, effectively protect the endoscopic ultra-high definition image, and improve the transmission effect of the endoscopic ultra-high definition image. BRIEF DESCRIPTION OF DRAWINGS

[0079] Figure 1 The present application is applied to the module diagram of the ultra-high definition image transmission system of the medical endoscope system. DETAILED DESCRIPTION

[0080] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by those skilled in the art without creative efforts belong to the scope of the present application.

[0081] To solve the problems of low transmission quality of the existing endoscope ultra-high-definition image and the inability to effectively and safely protect the endoscope ultra-high-definition image, resulting in poor transmission effect of the endoscope ultra-high-definition image, please refer to Figure 1 The embodiment provides the following technical solutions:

[0082] An ultra-high-definition image transmission system applied to a medical endoscope system, comprising an image acquisition module, an image preprocessing module, a data transmission module, a data processing module, a visual display module and a secure storage module.

[0083] It should be noted that the mutual interaction and communication among the image acquisition module, the image preprocessing module, the data transmission module, the data processing module, the visual display module and the secure storage module can improve the transmission quality of the endoscope ultra-high-definition image, effectively and safely protect the endoscope ultra-high-definition image, and improve the transmission effect of the endoscope ultra-high-definition image.

[0084] The image acquisition module is configured to acquire an ultra-high-definition image based on the medical endoscope system.

[0085] In the embodiment, as a preferred technical solution of the present application, the image acquisition module comprises:

[0086] An LED light source unit configured to provide visible light for the ultra-high-definition image in the field of view of the medical endoscope.

[0087] An optical filter unit configured to block unwanted incident light and obtain specific wavelength light.

[0088] An image capture unit configured to capture the ultra-high-definition image in the field of view of the medical endoscope in real time and determine the ultra-high-definition image based on the medical endoscope system.

[0089] The image preprocessing module is configured to preprocess the ultra-high-definition image and determine the ultra-high-definition image data based on the medical endoscope system.

[0090] In the embodiment, as a preferred technical solution of the present application, the image preprocessing module comprises:

[0091] The image enhancement unit is used for enhancing useful information in the super high-definition image based on the medical endoscope system, and making the originally unclear image clear, so as to improve the image quality, enrich the information amount, and strengthen the image interpretation and identification effect.

[0092] The contrast adjustment unit is used for adjusting the contrast of the super high-definition image based on the medical endoscope system, so as to make the super high-definition image based on the medical endoscope system vivid.

[0093] The resolution adjustment unit is used for adjusting the resolution of the super high-definition image based on the medical endoscope system, so as to make the super high-definition image based on the medical endoscope system clear, and determine the super high-definition image data based on the medical endoscope system.

[0094] Specifically, the contrast adjustment unit comprises:

[0095] The super high-definition image extraction module is used for extracting the super high-definition image of each frame acquired by the medical endoscope.

[0096] The remaining pixel block acquisition module is used for excluding the pixel block with the gray value of 255 and the pixel block with the gray value of 0 in the pixel block contained in the super high-definition image of each frame, and acquiring the remaining pixel block.

[0097] The gray maximum value and minimum value acquisition module is used for extracting the gray maximum value and the gray minimum value in the remaining pixel block contained in the super high-definition image of each frame.

[0098] The contrast adjustment coefficient acquisition module is used for acquiring the contrast adjustment coefficient by using the gray maximum value and the gray minimum value in the remaining pixel block contained in the super high-definition image of each frame, wherein the contrast adjustment coefficient is acquired by the following formula:

[0099]

[0100] Wherein, f represents the contrast adjustment coefficient; n represents the number of the remaining pixel blocks; D max and D min respectively represent the gray maximum value and the gray minimum value in the remaining pixel block; D i represents the gray value of the i-th remaining pixel block.

[0101] The target contrast acquisition module is used for acquiring the target contrast corresponding to the super high-definition image of each frame by using the contrast adjustment coefficient and the number of the pixel block with the gray value of 255 and the pixel block with the gray value of 0 in the pixel block contained in the super high-definition image of each frame.

[0102] The contrast adjustment execution module is used for adjusting the contrast of the acquired super high-definition image of each frame according to the target contrast.

[0103] The technical effect of the above technical solution is that the super high-definition image extraction module can ensure that high-quality medical endoscope images are processed, which is crucial for the accuracy and precision of medical diagnosis. Super high-definition images provide more details and clarity, which helps doctors make more accurate judgments about the patient's condition.

[0104] By removing pixel blocks with extreme gray values (i.e., 255 and 0) and calculating the contrast adjustment coefficient based on the maximum and minimum gray values of the remaining pixel blocks, this technology can more accurately identify and adjust the contrast in the image. This method avoids the influence of extreme gray values on the overall contrast calculation, making the contrast adjustment more in line with actual visual needs and improving the visual effect and readability of the image.

[0105] The contrast adjustment coefficient is dynamically calculated based on the specific content of each frame of image (the gray distribution of the remaining pixel blocks), which means that different images can receive different contrast adjustments, thereby enhancing the flexibility and adaptability of the entire image processing system. This is particularly important for handling complex and variable medical endoscope images.

[0106] Although pixel blocks with extreme gray values are removed, the number of these information (such as highlight and shadow areas) is still used to calculate the target contrast, ensuring that important information in the image (such as highlights or shadows of lesion areas) is reasonably considered during the contrast adjustment process, avoiding the loss or distortion of important information.

[0107] Through automated and precise contrast adjustment, doctors can quickly obtain clear and contrast-adjusted medical endoscope images, thereby improving the efficiency and accuracy of diagnosis. This helps to reduce the risk of misdiagnosis and missed diagnosis, and improves the quality of medical services.

[0108] In summary, this technical solution achieves efficient and accurate contrast adjustment of medical endoscope images through a series of carefully designed modules and algorithms, providing more reliable and efficient image support for medical diagnosis.

[0109] Specifically, the target contrast acquisition module includes:

[0110] A pixel block quantity acquisition module is configured to extract the corresponding number of pixel blocks with a gray value of 255 and pixel blocks with a gray value of 0 in the pixel blocks contained in each frame of super high-definition image;

[0111] A difference value acquisition module is configured to extract the difference between the maximum gray value of the remaining pixel blocks and the gray value 255;

[0112] a target contrast calculation module configured to calculate a target contrast by using the difference, a corresponding number of pixel blocks with a gray value of 255 and a corresponding number of pixel blocks with a gray value of 0 in the pixel blocks contained in each frame of the ultra-high definition image, and a contrast adjustment coefficient;

[0113] wherein the target contrast is calculated by the following formula:

[0114]

[0115] wherein F m represents the target contrast; F0 represents the original contrast of each frame of the ultra-high definition image; D max represents the maximum gray value in the remaining pixel blocks; D x represents the gray value of 255; k represents a compensation coefficient, and the compensation coefficient is calculated by the following formula:

[0116]

[0117] wherein N 01 represents the number of pixel blocks with a gray value of 255; N 02 represents the number of pixel blocks with a gray value of 0; n represents the number of remaining pixel blocks; and m represents the overall number of pixel blocks contained in each frame of the ultra-high definition image.

[0118] The technical effect of the above technical solution is that by comprehensively considering the gray value distribution of the remaining pixel blocks (especially the difference between the maximum gray value and the gray value of 255), the number of pixel blocks with extreme gray values (pixel blocks with gray values of 255 and 0), and the contrast adjustment coefficient, the technical solution can calculate a more accurate and reasonable target contrast. This calculation method not only considers the gray value distribution within the image, but also considers the overall characteristics of the image and extreme cases, thereby improving the accuracy and applicability of contrast adjustment.

[0119] The introduction of the compensation coefficient k is an innovative point. It dynamically adjusts the calculation of the target contrast according to the relationship between the number of pixel blocks with gray values of 255 and 0, the number of remaining pixel blocks, and the overall number of pixel blocks. This mechanism helps to compensate for the impact of pixel blocks with extreme gray values during contrast adjustment, making the adjusted image more consistent with visual requirements and medical diagnostic requirements.

[0120] By accurately calculating the target contrast, the technical solution can improve the contrast of the image while trying to maintain the details and levels of the image. This is particularly important for medical endoscopic images, as the preservation of details and levels helps doctors more accurately identify and analyze lesion areas.

[0121] By optimizing the contrast adjustment process, the technical solution can significantly improve the quality of medical endoscope images. The adjusted images are clearer and have more moderate contrast, which helps doctors make more accurate diagnoses.

[0122] Since the calculation of the target contrast is based on the specific content of each frame of image and is dynamically performed, the technical solution can adapt to the medical endoscope image processing needs under different scenes and conditions. This flexibility makes the technical solution have a wider application prospect in practical applications.

[0123] In summary, the technical effects of the target contrast acquisition module in the above technical solution mainly include accurate calculation of target contrast, dynamic compensation mechanism, preservation of image details, improvement of image quality, and enhancement of system flexibility. These technical effects collectively improve the quality and efficiency of medical endoscope image processing, providing more reliable and efficient image support for medical diagnosis.

[0124] Among them, the data transmission module is used to transmit super high definition image data based on the medical endoscope system;

[0125] In this embodiment, as a preferred technical solution of the present application, the data transmission module includes:

[0126] The data transmission module includes:

[0127] The data transmission module includes:

[0128] According to the super high definition image transmission requirements applied to the medical endoscope system, a data transmission link is established between the data transmission unit and the data receiving unit;

[0129] Among them, the data transmission unit transmits an instruction to the data receiving unit to request the establishment of a data transmission link;

[0130] The data receiving unit receives the instruction transmitted by the data transmission unit to request the establishment of a data transmission link, and checks whether there is an idle data transmission port in the data receiving unit;

[0131] When the data receiving unit has an idle data transmission port, the data receiving unit transmits an instruction to the data transmission unit to agree to establish a data transmission link;

[0132] The data transmission unit receives the instruction transmitted by the data receiving unit to agree to establish a data transmission link, and establishes a data transmission link with the data receiving unit based on the instruction to agree to establish a data transmission link;

[0133] The data transmission unit transmits super high definition image data based on the medical endoscope system to the data receiving unit;

[0134] The data receiving unit receives the super-high-definition image data based on the medical endoscope system, and transmits the super-high-definition image data based on the medical endoscope system to the data processing module.

[0135] The data processing module is configured to process the super-high-definition image data based on the medical endoscope system, and determine super-high-definition image feature data based on the medical endoscope system.

[0136] In this embodiment, as a preferred technical solution of the present application, the data processing module comprises:

[0137] The data retrieval unit is configured to retrieve the super-high-definition image data based on the medical endoscope system.

[0138] The super-high-definition image data based on the medical endoscope system is obtained.

[0139] The super-high-definition image data based on the medical endoscope system is retrieved based on a sequential retrieval method.

[0140] The super-high-definition image data valuable for super-high-definition image display is determined.

[0141] The feature extraction unit is configured to extract features from the retrieved super-high-definition image data.

[0142] The super-high-definition image data valuable for super-high-definition image display after retrieval is obtained.

[0143] Features are extracted from the super-high-definition image data valuable for super-high-definition image display after retrieval.

[0144] The super-high-definition image feature data based on the medical endoscope system is determined.

[0145] In this embodiment, as a preferred technical solution of the present application, the super-high-definition image data based on the medical endoscope system is retrieved, and the following operations are performed:

[0146] The consistency of the super-high-definition image data based on the medical endoscope system is checked.

[0147] According to the reasonable value range and mutual relationship of each variable in the super-high-definition image data, it is checked whether the super-high-definition image data meets the requirements.

[0148] Inconsistent data exceeding the normal range, logically unreasonable or mutually contradictory in the super-high-definition image data is removed.

[0149] The super-high-definition image data based on the medical endoscope system is processed for invalid values and missing values.

[0150] Remove the invalid data and missing data contained in the ultra-high definition image data which are useless for ultra-high definition image display;

[0151] Determine the ultra-high definition image data which are valuable for ultra-high definition image display.

[0152] The visualization display module is configured to visually display the ultra-high definition image feature data based on the medical endoscope system.

[0153] In this embodiment, as the preferred technical solution of the present application, the visualization display module comprises:

[0154] The data extraction unit is configured to extract the ultra-high definition image feature data based on the medical endoscope system.

[0155] The ultra-high definition image feature data based on the medical endoscope system is extracted based on the ultra-high definition image display requirements.

[0156] The data display unit is configured to display the ultra-high definition image feature data based on the medical endoscope system.

[0157] The extracted ultra-high definition image feature data based on the medical endoscope system is visually displayed in real time, so that the doctor can better understand the structure in the patient's body during endoscopy.

[0158] The secure storage module is configured to securely store the ultra-high definition image feature data based on the medical endoscope system.

[0159] In this embodiment, as the preferred technical solution of the present application, the secure storage module comprises:

[0160] The data storage unit is configured to store the ultra-high definition image feature data based on the medical endoscope system.

[0161] The ultra-high definition image feature data based on the medical endoscope system is obtained.

[0162] The ultra-high definition image feature data based on the medical endoscope system is stored.

[0163] The secure protection unit is configured to securely protect the ultra-high definition image feature data based on the medical endoscope system.

[0164] A secure protection scheme is formulated, and the ultra-high definition image feature data based on the medical endoscope system is securely protected based on the secure protection scheme to prevent unauthorized access and leakage of the ultra-high definition image feature data.

[0165] Therefore, by collecting the super high definition image based on the medical endoscope system, pre-processing the super high definition image, determining the super high definition image data based on the medical endoscope system, processing the super high definition image data based on the medical endoscope system, determining the super high definition image feature data based on the medical endoscope system, and performing real-time visual display on the super high definition image feature data based on the medical endoscope system, the doctor can better understand the structure in the patient's body when performing endoscopy, and develop a safety protection scheme. Based on the safety protection scheme, the super high definition image feature data based on the medical endoscope system is protected, unauthorized access and leakage of super high definition image feature data are prevented, the quality of endoscopic super high definition image transmission can be improved, and effective safety protection can be provided for endoscopic super high definition image, which can improve the transmission effect of endoscopic super high definition image.

[0166] It should be noted that in this document, the terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.

[0167] Although embodiments of the present application have been shown and described, it will be understood by those having ordinary skill in the art that various changes, modifications, substitutions and alterations can be made thereto without departing from the principles and spirit of the present application, the scope of which is defined by the following claims and their equivalents.

Claims

1. An ultra-high-definition image transmission system applied to a medical endoscope system, characterized by, include: Image acquisition module, used to acquire ultra-high-definition images based on medical endoscope systems; The image preprocessing module is used to preprocess ultra-high-definition images and determine ultra-high-definition image data based on the medical endoscope system; The data transmission module is used to transmit ultra-high-definition image data based on the medical endoscope system; The data processing module is used to process ultra-high-definition image data based on the medical endoscope system and determine the feature data of the ultra-high-definition image based on the medical endoscope system. The visualization module is used to visualize and display ultra-high-definition image feature data based on the medical endoscope system; A secure storage module is used to securely store ultra-high-definition image feature data based on medical endoscope systems.

2. The ultra-high definition image transmission system for medical endoscope system according to claim 1, characterized by, The image acquisition module includes: LED light source unit is used to provide visible light for ultra-high-definition images in the field of view of medical endoscope; An optical filtering unit is used to block unwanted incident light and obtain light of a specific wavelength; The image capture unit is used to capture ultra-high-definition images in the field of view of the medical endoscope in real time and determine the ultra-high-definition images based on the medical endoscope system.

3. The ultra-high definition image transmission system for medical endoscope system according to claim 2, characterized in that, The image preprocessing module includes: The image enhancement unit is used to enhance useful information in ultra-high-definition images based on medical endoscope systems, and to make originally unclear images clear, thereby improving image quality, enriching information content, and enhancing image interpretation and recognition effects. The contrast adjustment unit is used to adjust the contrast of ultra-high-definition images based on the medical endoscope system, so as to make the ultra-high-definition images based on the medical endoscope system vivid. The resolution adjustment unit is used to adjust the resolution of the ultra-high-definition image based on the medical endoscope system, so as to make the ultra-high-definition image based on the medical endoscope system clear and to determine the ultra-high-definition image data based on the medical endoscope system.

4. The ultra-high definition image transmission system for medical endoscope system according to claim 3, characterized in that, Contrast adjustment unit, including: The ultra-high-definition image extraction module is used to extract ultra-high-definition images from each frame acquired by the medical endoscope; The remaining pixel block acquisition module is used to remove the pixel blocks corresponding to grayscale value 255 and the pixel blocks with grayscale value 0 from the pixel blocks contained in each frame of the ultra-high-definition image to obtain the remaining pixel blocks; The grayscale maximum and minimum value acquisition module is used to extract the maximum and minimum grayscale values ​​of the remaining pixel blocks contained in each frame of the ultra-high-definition image. The contrast adjustment coefficient acquisition module is used to obtain the contrast adjustment coefficient by utilizing the maximum and minimum grayscale values ​​of the remaining pixel blocks contained in each frame of the ultra-high-definition image, wherein the contrast adjustment coefficient is obtained by the following formula: wherein f denotes a contrast adjustment coefficient; n denotes the number of remaining pixel blocks; D max and D min denote the maximum and minimum of the gray values in the remaining pixel blocks, respectively; D i denotes the gray value of the i-th remaining pixel block. The target contrast acquisition module is used to obtain the target contrast of each frame of the ultra-high-definition image by combining the contrast adjustment coefficient with the number of pixel blocks with gray values ​​of 255 and the number of pixel blocks with gray values ​​of 0 in each frame of the ultra-high-definition image. The contrast adjustment execution module is used to adjust the contrast of each frame of the acquired ultra-high-definition image according to the target contrast.

5. The ultra-high definition image transmission system for medical endoscope system according to claim 4, characterized in that, The target contrast acquisition module includes: The pixel block quantity obtaining module is configured to extract the corresponding quantity of pixel blocks with a gray value of 255 and pixel blocks with a gray value of 0 from the pixel blocks contained in the ultra-high definition image of each frame; The difference value obtaining module is configured to extract a difference value between the maximum gray value and the gray value of 255 from the remaining pixel blocks; The target contrast calculation module is configured to obtain a target contrast by combining the difference value, the corresponding quantity of pixel blocks with a gray value of 255 and pixel blocks with a gray value of 0 from the pixel blocks contained in the ultra-high definition image of each frame, and a contrast adjustment coefficient; The target contrast is obtained by the following formula: wherein F m represents a target contrast; F0 represents an original contrast of the ultra-high definition image of each frame; D max represents a maximum value of the gray value in the remaining pixel block; D x represents a gray value 255; k represents a compensation coefficient, and the compensation coefficient is obtained by the following formula: wherein N 01 represents the number of pixel blocks corresponding to the gray value 255; N 02 represents the number of pixel blocks corresponding to the gray value 0; n represents the number of remaining pixel blocks; and m represents the overall number of pixel blocks contained in the ultra-high definition image of each frame.

6. The ultra-high definition image transmission system for application to a medical endoscope system according to claim 3, characterized by The data transmission module comprises: A data transmitting unit configured to transmit the ultra-high definition image data based on the medical endoscope system; A data receiving unit configured to receive the ultra-high definition image data based on the medical endoscope system; According to the ultra-high definition image transmission requirement applied to the medical endoscope system, a data transmission link is established between the data transmitting unit and the data receiving unit; The data transmitting unit transmits an instruction for requesting to establish the data transmission link to the data receiving unit; When the data receiving unit has an idle data transmission port, the data receiving unit transmits an instruction for agreeing to establish the data transmission link to the data transmitting unit; The data transmitting unit receives the instruction for agreeing to establish the data transmission link transmitted by the data receiving unit, and establishes the data transmission link with the data receiving unit based on the instruction for agreeing to establish the data transmission link; The data transmitting unit transmits the ultra-high definition image data based on the medical endoscope system to the data receiving unit; The data receiving unit receives the ultra-high definition image data based on the medical endoscope system, and transmits the ultra-high definition image data based on the medical endoscope system to the data processing module. The data processing module comprises:

7. The ultra-high definition image transmission system for medical endoscope system according to claim 4, characterized in that, A data retrieving unit configured to retrieve the ultra-high definition image data based on the medical endoscope system; Obtaining the ultra-high definition image data based on the medical endoscope system; Retrieving the ultra-high definition image data based on the medical endoscope system based on a sequential retrieval method; Determining the ultra-high definition image data valuable for displaying the ultra-high definition image; A feature extraction unit configured to extract features from the retrieved ultra-high definition image data; Obtaining the ultra-high definition image data valuable for displaying the ultra-high definition image after retrieval; Extracting features from the ultra-high definition image data valuable for displaying the ultra-high definition image after retrieval; Determining the ultra-high definition image feature data based on the medical endoscope system. The ultra-high definition image data based on the medical endoscope system is retrieved, and the following operations are performed:

8. The ultra-high definition image transmission system for medical endoscope system according to claim 5, characterized in that, Checking the consistency of the ultra-high definition image data based on the medical endoscope system; According to the reasonable value range and mutual relationship of each variable in the ultra-high definition image data, checking whether the ultra-high definition image data meets the requirements; Removing inconsistent data exceeding the normal range, logically unreasonable or mutually contradictory in the ultra-high definition image data; ​ Invalid value and missing value processing is performed on the super-high-definition image data based on the medical endoscope system; Invalid data and missing data, which are of no value for super-high-definition image display, are removed from the super-high-definition image data; Super-high-definition image data of value for super-high-definition image display is determined.

9. The ultra-high definition image transmission system for medical endoscope system according to claim 6, characterized in that, The visualization display module comprises: a data extraction unit configured to extract super-high-definition image feature data based on the medical endoscope system; the super-high-definition image feature data based on the medical endoscope system is extracted based on super-high-definition image display requirements; a data display unit configured to display the super-high-definition image feature data based on the medical endoscope system; The extracted super-high-definition image feature data based on the medical endoscope system is displayed in real time, so that doctors can better understand the structure of the patient's body during endoscopy.

10. The ultra-high definition image transmission system for medical endoscope system according to claim 7, characterized in that, The secure storage module comprises: a data storage unit configured to store the super-high-definition image feature data based on the medical endoscope system; acquire the super-high-definition image feature data based on the medical endoscope system; store the super-high-definition image feature data based on the medical endoscope system; a security protection unit configured to secure the super-high-definition image feature data based on the medical endoscope system; A security protection scheme is developed, and the super-high-definition image feature data based on the medical endoscope system is secured based on the security protection scheme to prevent unauthorized access and leakage of the super-high-definition image feature data.

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