Endoscope control system and electronic device

Abstract

The invention provides an endoscope control system and electronic equipment, the endoscope control system comprises an endoscope and an image processing module, the endoscope comprises an image acquisition module and a control module, and the control module is electrically connected with the image acquisition module and the image processing module. The image acquisition module acquires a first image and outputs first image data to the control module according to the first image. The control module converts the first image data into second image data and transmits the second image data to the image processing module. The image processing module outputs a first instruction to the control module according to the definition of the second image data. The control module further outputs an adjustment control signal to the image acquisition module according to the first instruction so as to adjust image acquisition parameters of the image acquisition module. According to the endoscope control system, focusing can be automatically completed, a clear image can be obtained, and the focusing speed and the detection efficiency are remarkably improved.

Description

Technical Field

[0001] The present application belongs to the field of electronic equipment, and in particular relates to an endoscope control system and electronic equipment. Background Art

[0002] With the rapid development of modern medical technology, endoscopes, a key device for minimally invasive diagnosis and treatment through the body's natural cavities, have a wide range of clinical applications. These precision optical devices face increasingly demanding performance in clinical applications, particularly in terms of real-time imaging quality, ease of use, and diagnostic and treatment efficiency. However, current mainstream endoscopes require doctors to frequently adjust them to obtain clear images, resulting in low examination efficiency. Summary of the Invention

[0003] The embodiments of the present application provide an endoscope control system and electronic equipment, which can solve the problem that existing endoscopes require doctors to frequently adjust them to obtain clear images, resulting in low inspection efficiency.

[0004] In a first aspect, an embodiment of the present application provides an endoscope control system, comprising an endoscope and an image processing module, wherein the endoscope comprises an image acquisition module and a control module, wherein the control module is electrically connected to the image acquisition module and the image processing module respectively;

[0005] The image acquisition module is used to acquire a first image and output first image data to the control module based on the first image; the control module is used to convert the first image data into second image data and transmit the second image data to the image processing module; the image processing module is used to output a first instruction to the control module based on the clarity of the second image data; the control module is also used to adjust the image acquisition parameters of the image acquisition module according to the first instruction.

[0006] In a possible implementation manner of the first aspect, the image acquisition parameters include at least one of a focus position, a focal length, a viewing angle, and an exposure time.

[0007] In a possible implementation manner of the first aspect, the image acquisition module is further configured to adjust the image acquisition parameters according to a preset gradient based on the first instruction.

[0008] In a possible implementation of the first aspect, the image processing module is further configured to:

[0009] Calculating clarity scores of the second image data obtained twice adjacently;

[0010] When the clarity score of the second image data obtained for the (n+1)th time is less than the clarity score of the second image data obtained for the nth time, the second image data obtained for the nth time is determined to be the target image; wherein n is a positive integer.

[0011] In a possible implementation of the first aspect, the image processing module is further configured to output a second instruction to the control module when the clarity score of the second image data obtained for the m+1th time is less than the clarity score of the second image data obtained for the mth time; the control module stops adjusting the image acquisition parameters according to the second instruction; wherein m is a positive integer.

[0012] In a possible implementation manner of the first aspect, the image acquisition module includes an image sensor and an optical lens, the image sensor is electrically connected to the control module and the optical lens respectively, and the optical lens is electrically connected to the control module.

[0013] In a possible implementation of the first aspect, the control module includes an electro-optical converter, a control chip, and a driver chip. The electro-optical converter is electrically connected to the image acquisition module and the image processing module, respectively. The control chip is electrically connected to the driver chip, the image acquisition module, and the image processing module, respectively. The driver chip is electrically connected to the image acquisition module.

[0014] In a possible implementation of the first aspect, the endoscope control system further includes an interface module, which is connected between the control module and the image processing module and is used to transmit the second image data to the image processing module and to transmit the first instruction to the control module.

[0015] In a possible implementation manner of the first aspect, the endoscope control system further includes a display module, which is electrically connected to the image processing module and is configured to display a target image.

[0016] In a second aspect, an embodiment of the present application provides an electronic device comprising the endoscope control system described in any one of the first aspects.

[0017] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0018] An endoscope control system provided in an embodiment of the present application includes an image acquisition module, a control module, and an image processing module. The image acquisition module can acquire a first image and obtain first image data based on the first image. The control module converts the first image data into second image data and transmits the second image data to the image processing module. The image processing module evaluates the clarity of the second image data and, based on the evaluation result, outputs a first instruction to the control module. Based on the first instruction, the control module outputs an adjustment control signal to the image acquisition module to adjust image acquisition parameters. By dynamically adjusting the image acquisition parameters, the clarity of the first image captured by the image acquisition module is optimized. Thus, the endoscope control system provided in an embodiment of the present application forms a closed-loop autofocus mechanism through the real-time evaluation of the clarity of the second image data by the image processing module, combined with the dynamic interaction between the control module and the image acquisition module. Compared to traditional endoscopes that rely on doctors to frequently adjust lens parameters to obtain clear images, the endoscope control system of the present application can automatically complete focus and obtain clear images, eliminating the need for doctors to repeatedly manually operate, significantly improving focusing speed and inspection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0020] Figure 1 This is a principle block diagram of an endoscope control system provided by an embodiment of the present application;

[0021] Figure 2 This is a circuit connection diagram of an endoscope control system provided in one embodiment of the present application.

[0022] In the figure: 10, endoscope control system; 101, image acquisition module; 102, control module; 103, image processing module; 104, interface module; 105, display module. DETAILED DESCRIPTION

[0023] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0024] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0025] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0026] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0027] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0028] With the rapid development of modern medical technology, endoscopes, a key device for minimally invasive diagnosis and treatment through the body's natural cavities, have a wide range of clinical applications. These precision optical devices face increasingly demanding performance in clinical applications, particularly in terms of real-time imaging quality, ease of use, and diagnostic and treatment efficiency. However, current mainstream endoscopes require doctors to frequently adjust them to obtain clear images, resulting in low examination efficiency.

[0029] To address the above-mentioned issues, an endoscope control system provided in an embodiment of the present application includes an image acquisition module, a control module, and an image processing module. The image acquisition module can acquire a first image and obtain first image data based on the first image. The control module converts the first image data into second image data and transmits the second image data to the image processing module. The image processing module evaluates the clarity of the second image data and, based on the evaluation result, outputs a first instruction to the control module. Based on the first instruction, the control module outputs an adjustment control signal to the image acquisition module to adjust image acquisition parameters. By dynamically adjusting the image acquisition parameters, the clarity of the first image captured by the image acquisition module is optimized. Thus, the endoscope control system provided in an embodiment of the present application forms a closed-loop autofocus mechanism through the real-time evaluation of the clarity of the second image data by the image processing module, combined with the dynamic interaction between the control module and the image acquisition module. Compared to traditional endoscopes that rely on doctors to frequently adjust lens parameters to obtain clear images, the endoscope control system of the present application can automatically complete focus and obtain clear images, eliminating the need for doctors to repeatedly manually operate, significantly improving focusing speed and inspection efficiency.

[0030] Figure 1 FIG1 shows a block diagram of the principle of an endoscope control system 10 provided in an embodiment of the present application. Figure 1 As shown, the endoscope control system 10 includes an endoscope and an image processing module 103 . The endoscope includes an image acquisition module 101 and a control module 102 . The control module 102 is electrically connected to the image acquisition module 101 and the image processing module 103 , respectively.

[0031] Specifically, the image acquisition module 101 can capture a first image and obtain first image data based on the first image. The control module 102 converts the first image data into second image data and transmits the second image data to the image processing module 103. The image processing module 103 evaluates the clarity of the second image data and outputs a first instruction to the control module 102 based on the evaluation result. The control module 102 then outputs an adjustment control signal to the image acquisition module 101 based on the first instruction to adjust the image acquisition parameters. By dynamically adjusting the image acquisition parameters, the clarity of the first image captured by the image acquisition module 101 is optimized. It can be seen that the endoscope control system 10 provided in the embodiment of the present application forms a closed-loop autofocus mechanism through the real-time evaluation of the clarity of the second image data by the image processing module 103, combined with the dynamic interaction between the control module 102 and the image acquisition module 101. Compared to traditional endoscopes that rely on doctors to frequently adjust lens parameters to obtain clear images, the endoscope control system 10 of the present application can automatically complete focus and obtain clear images without the doctor's repeated manual operation, significantly improving focus speed and inspection efficiency.

[0032] It should be noted that the image acquisition parameters include at least one of the focus position, focal length, viewing angle, and exposure time. By adjusting the focus position, the focus position can be matched to the actual distance of the object, the circle of confusion can be minimized, and the captured first image can be as clear as possible. By adjusting the focal length, the first image can be zoomed in or out. A longer focal length can magnify details, while a shorter focal length can provide a wider viewing angle. By adjusting the exposure time, the brightness and dynamic range of the first image can be adjusted. Too short an exposure can make the first image appear darker, while too long an exposure can saturate bright areas and potentially introduce motion blur.

[0033] Exemplarily, when the image processing module 103 evaluates the clarity of the second image data, it can use a clarity evaluation function based on FPGA (Field-Programmable Gate Array) hardware acceleration (such as the Laplace variance method, gradient method, or multi-algorithm fusion model). Specifically, the FPGA implements core operations such as image grayscale, edge detection, and high-frequency component extraction through a parallel computing architecture. For example, the input second image data is first pre-processed by Gaussian filtering for noise reduction, and then the variance of the Laplace operator response value is quickly calculated using the FPGA's built-in multiplier and accumulator units, or the convolution operation of the gradient operator is completed in parallel through a pipeline structure, and a quantitative score reflecting the image clarity is output in real time. This hardware acceleration solution can compress the time consumption of the clarity evaluation of a single frame image to the microsecond level, significantly improving processing efficiency, thereby providing efficient data support for the generation of adjustment control signals for real-time image parameter adjustment of the control module 102, ensuring that the endoscope control system 10 can achieve fast and accurate autofocus closed-loop control in dynamic clinical scenarios.

[0034] In one embodiment of the present application, the image acquisition module 101 is further configured to adjust the image acquisition parameters according to a preset gradient based on the first instruction.

[0035] Specifically, the endoscope control system 10 in the present application adopts the hill climbing method to construct an autofocus closed loop, and dynamically optimizes the clear imaging focus by iteratively and stepwise (according to a preset gradient) adjusting the image acquisition parameters (such as focus position, focal length, exposure time, etc.).

[0036] For example, in the endoscope control system 10 of the present application, the preset gradient of the focal length can be configured to 0.1mm, that is, the step length of each focal length adjustment is fixed to 0.1mm. Under this parameter configuration, the focal length adjustment range supported by the system is 0.1mm to 1mm, and the specific values ​​can be 0.1mm, 0.2mm, 0.3mm...1mm. This discrete focal length adjustment mechanism can cover the commonly used working distances of endoscopes in clinical applications with fine steps, ensuring that the system can achieve precise focus at different tissue depths and observation scenarios.

[0037] In one embodiment of the present application, the image processing module 103 is further configured to:

[0038] Calculate the clarity scores of the second image data obtained twice adjacently; when the clarity score of the second image data obtained the n+1th time is less than the clarity score of the second image data obtained the nth time, determine that the second image data obtained the nth time is the target image; wherein n is a positive integer.

[0039] Specifically, the endoscope control system 10 uses the clarity evaluation function value (first instruction) output by the image processing module 103 as a feedback signal. The control module 102 generates a small perturbation parameter along a preset search direction (such as increasing / decreasing the focus position) based on the current parameter state, and drives the image acquisition module 101 to perform a single parameter adjustment and acquire a new image. The image processing module 103 compares the clarity scores of the new and old images (the two images before and after), and if the score improves, the current adjustment direction is retained. Through this "evaluation-adjustment-re-evaluation" cycle mechanism, the endoscope control system 10 can gradually approach the global optimal focus along the path with the fastest clarity increase, and finally lock the image parameter combination that maximizes the image clarity within a limited number of iterations, thereby achieving intelligent and clear imaging without manual intervention. This method is particularly suitable for clinical scenarios where tissue depth changes rapidly or high-frequency autofocus is required during endoscopic examinations due to its advantages such as simple algorithm logic, low hardware implementation cost and strong real-time performance, effectively improving the focusing efficiency and imaging stability of the endoscope control system 10.

[0040] In one embodiment of the present application, the image processing module 103 is further configured to output a second instruction to the control module 102 when the clarity score of the second image data obtained for the m+1th time is less than the clarity score of the second image data obtained for the mth time. The control module 102 stops adjusting the image acquisition parameters of the image acquisition module 101 according to the second instruction. Here, m is a positive integer.

[0041] Specifically, in the endoscope control system 10 of the present application, if the clarity score of the second image data obtained by the image processing module 103 for the m+1th time is less than the clarity score of the second image data obtained for the mth time, it indicates that the endoscope control system 10 has obtained the optimal value of image clarity during the autofocus process. At this time, the image processing module 103 will generate and send a second instruction to the control module 102. The core function of the second instruction is to terminate the current parameter adjustment process. After receiving the second instruction, the control module 102 will immediately stop adjusting the image acquisition parameters (such as focal length, aperture, etc.) of the image acquisition module 101, and at the same time determine the image data collected for the mth time as the target image. This mechanism is based on the optimization logic of the hill climbing method. By comparing the clarity scores of two adjacent images in real time, it ensures that the system can quickly lock the optimal imaging parameters, effectively avoids the problem of image quality degradation caused by excessive adjustment, and significantly improves the autofocus efficiency and imaging stability of the endoscope in a complex human body environment.

[0042] It should be noted that compared to traditional endoscopes that use fixed-focus lenses, which are difficult to adapt to the physiological curvature, depth changes, and dynamic displacement of complex human structures, resulting in blurred edges of the field of view and difficulty in simultaneously capturing clear images of different depth areas, which seriously restricts the accuracy of clinical diagnosis and the precision of surgical operations, the endoscope control system 10 of the present application uses an intelligent autofocus algorithm based on the hill climbing method, which can accurately adjust the focus position and quickly respond to dynamic scenes such as human organ peristalsis and body position changes. At the same time, the control module 102 and the image processing module 103 work together to ensure that the system can quickly complete focus optimization under different lighting conditions and tissue reflectivity differences through quantitative evaluation of image clarity and feedback closed-loop control, achieving high-resolution imaging within the full field of view. Therefore, the endoscope control system 10 can stably output clear and sharp images, providing reliable visual support for early lesion screening and minimally invasive surgical navigation, significantly improving the diagnostic efficiency and operational safety of endoscopic examinations.

[0043] In one embodiment of the present application, Figure 2 As shown, the image acquisition module 101 includes an image sensor and an optical lens. The image sensor is electrically connected to the control module 102 and the optical lens respectively, and the optical lens is electrically connected to the control module 102.

[0044] Specifically, the optical lens and the image sensor in the image acquisition module 101 complement each other and jointly complete the capture of the first image. The optical lens images the target object at a specific position by refracting and converging light. Its adjustable focal length, aperture, focus and other parameters can control the viewing angle range, depth of field effect and amount of incident light, so as to achieve clear imaging of objects of different distances and sizes. As the core component of photoelectric conversion, the image sensor converts the light signal (first image) projected by the optical lens into an electrical signal (first image data). Its pixel array, sensitivity and other characteristics determine the image resolution, color reproduction and noise level. The connection between the optical lens and the image sensor ensures the coordination of the optical imaging and signal conversion processes, so that the light focused by the optical lens can be accurately captured by the image sensor and converted into image data that can be processed, together providing high-quality original images for the endoscope control system 10. Furthermore, both the optical lens and the image sensor are electrically connected to the control module 102 and can receive adjustment control signals (a first adjustment control signal and a second adjustment control signal) from the control module 102 to adjust parameters. Specifically, the control module 102 can adjust the focal length and viewing angle of the optical lens, among other things. The control module 102 can also adjust the internal register parameters of the image sensor to obtain the clearest image. Furthermore, the control module 102 can initialize and configure the image sensor, starting and calibrating it by sending a series of parameter commands. This ensures that the image sensor maintains optimal operating conditions in complex clinical environments, laying the foundation for the acquisition of high-quality medical images.

[0045] For example, designers can choose the type of optical lens. For example, a zoom lens can significantly enhance the flexibility and practicality of an endoscope system. Its built-in multiple movable lens groups enable continuous focal length adjustment, allowing the endoscope to switch between macroscopic and microscopic focusing modes without replacing the hardware. Specifically, during clinical examinations, doctors can freely switch between different observation needs by adjusting the zoom lens's focal length, eliminating the need for frequent lens changes. For example, when scanning a large area, a short focal length (wide-angle end) can be used to obtain a panoramic view and quickly locate the lesion area; when closer inspection of lesion details is required, a long focal length (telephoto end) can be switched to achieve localized magnification and accurately identify tissue features and tiny lesions. Furthermore, zoom lenses support continuous and smooth focal length adjustment, dynamically compensating for fluctuations in observation distance caused by changes in patient position or organ movement, maintaining a stable and clear image. Therefore, the use of zoom lenses not only simplifies the operating process and saves examination time, but also reduces hardware costs and maintenance difficulties, providing more efficient and convenient technical support for clinical diagnosis and treatment.

[0046] For example, designers can flexibly select an appropriate image sensor chip model based on the performance requirements of the endoscope control system 10. For example, an image sensor of the ultra-low power full HD CMOS (Complementary Metal-Oxide-Semiconductor) chip OV2740 can be selected, which supports 1080P@60fps high-definition video stream acquisition, can quickly and stably convert the light signal projected by the optical lens into an electrical signal, and transmit it to the control module 102 in real time. This chip not only ensures high-quality acquisition of the first image, but also extends the battery life of the device by virtue of its low power consumption characteristics, effectively meeting the needs of long-term continuous operation of the endoscope, and providing clear and smooth image data support for clinical diagnosis.

[0047] In one embodiment of the present application, Figure 2 As shown, the control module 102 includes an electro-optical converter, a control chip and a driver chip. The electro-optical converter is electrically connected to the image acquisition module 101 and the image processing module 103 respectively. The control chip is electrically connected to the driver chip, the image acquisition module 101 and the image processing module 103 respectively. The driver chip is electrically connected to the image acquisition module 101.

[0048] Specifically, the input end of the electro-optical converter is electrically connected to the image sensor, and the output end of the electro-optical converter is electrically connected to the image processing module 103. The electro-optical converter can convert the electrical signal (first image data) output by the image sensor into an optical signal (second image data) and transmit the optical signal to the image processing module 103. The control chip communicates with the image processing module 103 using a UART (Universal Asynchronous Receiver Transmitter, used for asynchronous communication) and can receive the first instruction transmitted by the image processing module 103. The output end of the control chip is connected to the driver chip and communicates with the driver chip using I2C (Inter-Integrated Circuit). It can output drive control signals to the driver chip and initialize and configure the driver chip. The control chip communicates with the image sensor using I2C and can output a first adjustment control signal to the image sensor to adjust the image sensor's internal register parameters. In addition, the control chip is responsible for functions such as system timing synchronization, power management, and fault diagnosis (fault alarms) to ensure the coordinated operation of various modules. The driver chip can output a second adjustment control signal to the zoom lens according to the drive control signal to adjust the zoom lens. Specifically, for zoom lenses, the driver chip outputs a current / voltage signal of a specific waveform (such as PWM (Pulse Width Modulation) pulse) to the voice coil motor or stepper motor through an H-bridge circuit or a dedicated motor drive algorithm, accurately controlling the motor's rotation direction, number of steps, and torque, thereby achieving micron-level displacement adjustment of the lens group. At the same time, the driver chip integrates a position feedback mechanism (such as an encoder interface) to form a closed-loop control to ensure that the actual position of the lens is highly matched with the control command, thereby improving focusing accuracy and stability.

[0049] For example, in practical applications, the models of the control chip, driver chip, and electro-optical converter can be flexibly configured according to the requirements of the endoscope control system 10. For example, the control chip can be the STM32F103CBT6, an enhanced ARM (Advanced RISC Machines) Cortex-M3 MCU, which operates at a 72MHz frequency and integrates two I2C, three USART (Universal Synchronous Asynchronous Receiver Transmitter), one USB (Universal Serial Bus), one SPI (Serial Peripheral Interface), and one CAN (Controller Area Network) interface, fully meeting the multi-channel data interaction requirements with the image sensor, driver chip, and image processing module 103 in this application. The driver chip can be the AW8601 high-performance, low-power, bidirectional voice coil motor driver chip, which is designed specifically for precision control of the endoscope front-end lens. It drives the voice coil motor by precisely outputting current waveforms, achieving rapid and stepless adjustment of the lens focal length. The electro-optical converter can use the BF4-TX-14DS-0.5V connector, which efficiently converts the electrical signals output by the front-end image sensor into optical signals, significantly improving the anti-interference ability and bandwidth utilization of high-speed image data in long-distance transmission.

[0050] In one embodiment of the present application, Figure 2 As shown, the image processing module 103 includes an image processor, which is electrically connected to the control module 102 .

[0051] Specifically, the image processor first pre-processes the second image data transmitted by the control module 102, such as noise reduction, deblurring, color correction, etc., to improve the basic quality of the image. Then, the clarity evaluation function is used to evaluate the clarity of the pre-processed image, generate a first instruction reflecting the image clarity, and feed the first instruction back to the control module 102 to provide a key basis for the autofocus closed-loop control. In this way, the image processor can continuously monitor the focusing effect and analyze the clarity change trend of the image in different scenes in real time through the built-in dynamic feedback mechanism. Specifically, when encountering a complex clinical environment (such as strong tissue reflection and motion blur in the field of view), the image processor can automatically optimize the weight parameters of the clarity evaluation function based on historical data and current evaluation results, or switch to a more suitable algorithm model, such as enabling an evaluation algorithm based on frequency domain analysis in low-contrast scenes to improve focusing accuracy. In addition, the image processor can predict tissue movement trends and adjust parameters in advance based on the changing patterns of multiple consecutive frames of images, ensuring that the optimal focus state can be maintained quickly and accurately during dynamic processes such as the patient's breathing and organ peristalsis, ultimately achieving stable and efficient imaging under different lighting conditions, tissue characteristics and operating scenarios, providing reliable image support for clinical diagnosis and treatment.

[0052] It should be noted that the image processor can also execute advanced image processing algorithms based on clinical needs, such as edge detection to highlight tissue contours, image segmentation to extract regions of interest, and 3D reconstruction to generate stereoscopic structural models, further enhancing the diagnostic value of the images. By working in conjunction with the control module 102, the image processor enables the endoscope system to extract richer information from the original images, significantly improving the doctor's accuracy in identifying lesions and the efficiency of diagnosis.

[0053] In one embodiment of the present application, Figure 2 As shown, the endoscope control system 10 further includes an interface module 104 , which is connected between the control module 102 and the image processing module 103 and is used to transmit the second image data to the image processing module 103 and to transmit the first instruction to the control module 102 .

[0054] Specifically, the interface module 104 serves as a data transmission bridge between the control module 102 (electro-optical converter) and the image processing module 103 (image processor), and adopts a simple electrical connection PCBA (Printed Circuit Board Assembly) design. By optimizing the layout and wiring and electrical characteristics, it builds a stable high-speed data transmission channel, which can transmit the second image data output by the electro-optical converter to the image processor without distortion, ensuring the efficient operation of algorithms such as image preprocessing and clarity assessment. At the same time, the interface module 104 uses a low-latency, high-reliability signal transmission mechanism to accurately transmit the first instruction generated by the image processor back to the control chip, providing real-time feedback for closed-loop autofocus and dynamic parameter adjustment. In addition, the interface module 104 also has electrical isolation and signal enhancement functions, which effectively suppress electromagnetic interference and ensure the accuracy of data transmission in complex electromagnetic environments, thereby achieving stable coordination between the various modules of the system and improving the overall performance and reliability of the endoscope control system 10.

[0055] It should be noted that the interface module 104, image acquisition module 101, and control module 102, as core components of the endoscope control system 10, are all integrated into the endoscope device. Through precise layout and electrical connections, they achieve the coordinated operation of image acquisition, data transmission, and intelligent control functions, providing stable technical support for clinical diagnosis and treatment. The image processing module 103 is not integrated into the endoscope device. Therefore, the interface module 104 acts as a bridge component between the endoscope and the image processing module 103, and through standardized data transmission interfaces and electrical connections, it enables image data exchange and control command transmission between the two.

[0056] In one embodiment of the present application, Figure 2 As shown, the interface module 104 includes an endoscope interface, which is connected between the control module 102 and the image processing module 103 .

[0057] Specifically, the endoscope interface, as the core component of the interface module 104, builds an efficient and stable data transmission bridge between the control module 102 and the image processing module 103. The endoscope interface not only undertakes the power supply and signal communication functions between the endoscope and the image processor, but is also the key hub for the electrical connection between the two. The endoscope interface supports a variety of electrical protocols and can achieve high-speed and low-loss transmission of electrical signals such as image data collected by the endoscope and instructions from the control module 102 between different modules. At the same time, the endoscope interface also has an electrical isolation design. Through technologies such as optoelectronic coupling or magnetic isolation, it effectively blocks electromagnetic interference and ground loops between devices, ensures the stability of power supply and signal communication, and avoids signal distortion or power supply fluctuations affecting system performance, thereby providing a solid electrical foundation for the efficient operation of the endoscope control system 10.

[0058] It should be noted that the endoscope interface communicates with the image processing module 103 using UART and optical fiber, and can receive the first instruction or the second instruction output by the image processing module 103. The endoscope interface communicates with the control chip using UART, and can transmit the first instruction or the second instruction to the control chip. The endoscope interface communicates with the electro-optical converter using optical fiber, and transmits the second image data to the image processing module 103 via the endoscope interface.

[0059] In one embodiment of the present application, Figure 2 As shown, the endoscope control system 10 further includes a display module 105 , which is electrically connected to the image processing module 103 and is configured to display a target image output by the image processing module 103 according to the second image data.

[0060] Specifically, the display module 105, serving as an interactive terminal directly facing medical personnel within the endoscope control system 10, is connected to the image processing module 103 and plays a key role in clinical diagnosis and treatment. After the second image data undergoes noise reduction, enhancement, and analysis by the image processor, it is connected to the display module 105 via an HDMI (High-Definition Multimedia Interface) or SDI (Serial Digital Interface). The display module 105 converts the processed image into an intuitive and clear target image for visual presentation, enabling doctors to accurately observe the details of the patient's internal tissues and lesion characteristics in real time.

[0061] It should be noted that the display module 105 supports high-resolution display technology, capable of displaying micron-level tissue texture and vascular structure. It also features a high dynamic range display function, effectively distinguishing details in different brightness areas and avoiding information loss due to overexposure or underexposure. Furthermore, the display module 105 can receive the analysis results from the image processing module 103 via an HDMI / SDI interface, assisting doctors in quickly identifying lesion boundaries and marking key locations through methods such as overlay annotation and pseudo-color rendering. Some advanced display modules 105 even support 3D image display and multi-screen simultaneous display, providing all-round, three-dimensional visual support for complex surgical operations, significantly improving diagnostic accuracy and surgical efficiency.

[0062] In one embodiment of the present application, Figure 2 As shown, the display module 105 includes a display, and the display is electrically connected to the image processing module 103 .

[0063] Specifically, the display, as the core component of the display module 105, becomes a direct window for doctors to observe the patient's internal conditions. In addition, the resolution, color reproduction and brightness adjustment capabilities of the display directly affect the doctor's interpretation of image details. Among them, high resolution (such as 4K level) can identify submillimeter lesions, accurate color reproduction can truly reflect changes in tissue color, and the intelligent brightness adjustment function can adapt to different lighting environments in the body to avoid visual fatigue. Some medical displays support touch interaction or are linked with foot switches. Doctors can switch image modes (such as white light mode, narrow-band imaging mode) in real time, zoom in and out of local areas, or save images of typical cases through operation, further improving diagnostic efficiency and the convenience of clinical operations.

[0064] For example, during gastrointestinal endoscopy, the display can clearly show subtle lesions on the mucosal surface and the texture of blood vessels. In surgical scenarios, it can provide real-time feedback on the spatial relationship between instrument position and tissue anatomy.

[0065] The embodiment of the present application also discloses an electronic device, including the above-mentioned endoscope control system 10. The electronic device adopts the above-mentioned endoscope control system 10 to significantly improve the accuracy and efficiency of medical diagnosis and surgical operations, so that the electronic device can easily adapt to different types of inspection and surgical needs, reduce the cost of equipment upgrades, bring more intelligent and humanized solutions to the medical field, and promote the development and popularization of precision medicine.

[0066] Since the processing and functions implemented by the electronic device in this embodiment basically correspond to the embodiments, principles and examples of the aforementioned endoscope control system, for any details not fully described in this embodiment, please refer to the relevant descriptions in the aforementioned embodiments and will not be repeated here.

[0067] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. An endoscope control system, characterized in that: The endoscope comprises an image acquisition module and an image processing module, wherein the endoscope comprises an image acquisition module and a control module, and the control module is electrically connected to the image acquisition module and the image processing module respectively; The image acquisition module is used to acquire a first image and output first image data to the control module based on the first image; the control module is used to convert the first image data into second image data and transmit the second image data to the image processing module; the image processing module is used to output a first instruction to the control module based on the clarity of the second image data; the control module is also used to adjust the image acquisition parameters of the image acquisition module according to the first instruction.

2. The endoscope control system according to claim 1, characterized in that: The image acquisition parameters include at least one of a focus position, a focal length, a viewing angle, and an exposure time.

3. The endoscope control system according to claim 1, wherein: The image acquisition module is further configured to adjust the image acquisition parameters according to a preset gradient based on the first instruction.

4. The endoscope control system according to claim 1, wherein: The image processing module is further configured to: Calculating clarity scores of the second image data obtained twice adjacently; When the clarity score of the second image data obtained for the (n+1)th time is less than the clarity score of the second image data obtained for the nth time, the second image data obtained for the nth time is determined to be the target image; wherein n is a positive integer.

5. The endoscope control system according to claim 1, wherein: The image processing module is further configured to output a second instruction to the control module when the clarity score of the second image data obtained for the m+1th time is less than the clarity score of the second image data obtained for the mth time; the control module stops adjusting the image acquisition parameters according to the second instruction; wherein m is a positive integer.

6. The endoscope control system according to claim 1, characterized in that: The image acquisition module includes an image sensor and an optical lens. The image sensor is electrically connected to the control module and the optical lens respectively, and the optical lens is electrically connected to the control module.

7. The endoscope control system according to claim 1, wherein: The control module includes an electro-optical converter, a control chip and a driver chip. The electro-optical converter is electrically connected to the image acquisition module and the image processing module respectively. The control chip is electrically connected to the driver chip, the image acquisition module and the image processing module respectively. The driver chip is electrically connected to the image acquisition module.

8. The endoscope control system according to any one of claims 1 to 7, characterized in that: The endoscope control system further includes an interface module, which is connected between the control module and the image processing module and is used to transmit the second image data to the image processing module and to transmit the first instruction to the control module.

9. The endoscope control system according to any one of claims 1 to 7, characterized in that: The endoscope control system further includes a display module, which is electrically connected to the image processing module and is used to display the target image.

10. An electronic device, characterized in that: The endoscope control system comprises the endoscope control system according to any one of claims 1 to 9.

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