Endoscope system and endoscope dimming control method

Abstract

The present invention provides an endoscope system having an insertion part that can be inserted into a body cavity, the endoscope system comprising: a distal end part provided on the distal end side of the insertion part; an imaging unit provided at the front end portion; an illumination unit provided around the imaging unit and configured to illuminate an imaging field of view of the imaging unit; the distance measuring module is used for acquiring real-time distance information between the lighting part and the target tissue based on the tissue image acquired by the camera shooting part; the hierarchy judgment module is used for judging the distance hierarchy to which each lighting part belongs according to the real-time distance information; and the illumination control module is used for generating a corresponding preset dimming strategy according to the distance level of the illumination unit so as to control the output light quantity of each illumination part. Therefore, the endoscope system has the capabilities of active distance sensing, intelligent partition dimming and image feedback optimization closed-loop control, and can automatically adapt to light quantity output under different illumination distances, so that the overall imaging quality is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical devices, and in particular to an endoscope system and an endoscope light control method. BACKGROUND

[0002] With the continuous development of endoscope imaging technology, high-resolution image sensors and high-brightness illumination units are widely integrated into the front-end structure of endoscopes to improve the visibility of doctors during intracavity examination, diagnosis and treatment operations. The illumination unit usually adopts an array or ring layout of multiple observation windows to cover the entire camera field of view and adjust the brightness intensity with the help of a light adjustment circuit to adapt to the illumination needs in different clinical scenarios.

[0003] However, in existing endoscope systems, there is generally a lack of active sensing of the relative distance between the illumination unit and the tissue and the ability to implement graded light adjustment according to the distance. Instead, uniform brightness adjustment or synchronous adjustment of the entire light power is often used, ignoring the individual distance and illumination needs between multiple LEDs and the tissue. In actual applications, the endoscope head may be close to certain tissue regions. If the light intensity of the illumination unit in this direction is not reduced in time, it is easy to cause image overexposure, tissue surface reflection shielding details, and even the risk of tissue burns due to heat accumulation.

[0004] On the contrary, when the illumination unit is far away from the target tissue, the traditional synchronous light adjustment strategy often fails to effectively compensate for the light intensity attenuation, resulting in insufficient illumination at the image edge or distant regions, difficulty in tissue recognition, and other problems, which seriously affect the imaging clarity and diagnostic reliability.

[0005] In addition, there is currently a lack of reliable local distance recognition mechanism in endoscopes. Even if ToF ranging or structured light modules are introduced for overall imaging depth evaluation, few have the ability to separately judge the distance of multiple illumination units to the tissue regions, and there is also a lack of closed-loop mechanism for graded light control combined with distance information. The existing light adjustment process is usually a passive response to overall image brightness changes, and cannot implement feedforward anti-overexposure, zoned illumination enhancement, and other optimization strategies.

[0006] Therefore, how to realize independent distance sensing and classification recognition of multiple illumination units and execute distance graded light adjustment strategy combined with image feedback has become a key problem to improve endoscope image quality, reduce energy burden, and improve clinical safety. SUMMARY

[0007] To achieve the above purpose, one embodiment of the present application is an endoscope system, which aims to perform differential light adjustment compensation and achieve image local and overall brightness balance. The endoscope system comprises:

[0008] a front-end portion provided on the front end side of the insertion portion;

[0009] a camera unit arranged at the front end;

[0010] a lighting unit arranged around the camera unit, and configured to illuminate a camera view field of the camera unit;

[0011] a distance measurement module configured to obtain real-time distance information between the lighting unit and a target tissue based on a tissue image collected by the camera unit;

[0012] a distance level determination module configured to determine a distance level to which each of the lighting units belongs according to the real-time distance information;

[0013] a lighting control module configured to generate a preset dimming strategy corresponding to the distance level to which the lighting unit belongs, so as to control an output light quantity of each of the lighting units.

[0014] Optionally, the distance measurement module comprises:

[0015] an edge detection unit configured to perform edge detection on the tissue image to extract a contour region of the target tissue;

[0016] a feature extraction unit configured to analyze pixel brightness in the contour region to extract brightness feature data including at least brightness gradient features and light attenuation features;

[0017] a distance output unit configured to input the brightness feature data into a trained gradient mapping model to output the real-time distance information between the lighting unit and the tissue.

[0018] Optionally, the feature extraction unit comprises:

[0019] a gradient analysis subunit configured to perform gradient analysis on the pixel brightness in the contour region and calculate a brightness gradient mean value in the contour region to obtain image texture complexity;

[0020] a light attenuation calculation subunit configured to calculate a light attenuation rate based on a ratio relationship between a current output light quantity of the lighting unit and a brightness estimation value of the tissue image.

[0021] Optionally, the distance level determination module comprises:

[0022] a distance level mapping unit configured to map the real-time distance information into any one of a plurality of different distance levels according to a plurality of preset distance level thresholds;

[0023] a threshold setting unit configured to set the set of preset level thresholds according to a depth of field parameter of the camera unit.

[0024] Optionally, the lighting control module comprises:

[0025] a dimming strategy matching unit configured to match the preset dimming strategy corresponding to the distance level according to the distance level to which the lighting unit belongs;

[0026] a dimming unit configured to execute the matched preset dimming strategy to generate a corresponding dimming control signal to adjust the output light quantity of the lighting unit.

[0027] Optionally, the dimming unit comprises:

[0028] a first adjustment unit configured to control the output light quantity of the lighting unit to be adjusted according to a preset linear inhibition function when the distance level to which the lighting unit belongs is less than or equal to a first level threshold;

[0029] a second adjustment unit configured to control the output light quantity of the lighting unit to be enhanced according to a preset exponential compensation function when the distance level to which the lighting unit belongs is greater than or equal to a second level threshold;

[0030] a smooth adjustment unit configured to continuously adjust the output light quantity of the lighting unit based on a preset smooth transition function to control the lighting unit to maintain in a reference brightness interval when the distance level to which the lighting unit belongs is between the first level threshold and the second level threshold.

[0031] Optionally, the endoscope system further comprises an image compensation module configured to perform light quantity compensation on the tissue image based on the brightness data and image contrast of the tissue image output by the illumination control module.

[0032] Optionally, the endoscope system further comprises a safety control module configured to control the lighting unit to inhibit the output light quantity when the temperature monitoring assembly detects that the preset region temperature of the lighting unit exceeds a preset safety threshold.

[0033] Optionally, the endoscope system further comprises a brightness feedback control module configured to analyze the brightness data characteristics of the tissue image collected by the camera unit, and generate a light quantity correction instruction according to the comparison result with the set brightness uniformity threshold to be fed back to the illumination control module to realize light quantity adjustment.

[0034] Another embodiment of the present application further provides an endoscope dimming control method applied to the endoscope system in any of the foregoing embodiments: based on the tissue image collected by the camera unit, real-time distance information of a target tissue region corresponding to the lighting unit is obtained;

[0035] According to the real-time distance information, the distance level to which each lighting unit belongs is determined;

[0036] According to the distance level to which each illumination part belongs, a corresponding preset dimming strategy is executed to control the output light quantity of each illumination part.

[0037] The endoscope system provided by the present application can grade and differentially adjust the output light quantity of the multiple LEDs in the illumination part based on the real-time distance between the illumination unit and the tissue. By setting multiple distance levels and matching different dimming strategies, local dynamic balanced regulation of the illumination brightness can be effectively realized, thereby avoiding overexposure or overdarkness of the image area and improving the overall brightness uniformity and visual clarity of the tissue image. In addition, the present application can reduce the output light quantity and power consumption of the near-field illumination unit, significantly reduce the heat radiation intensity and the risk of tissue surface temperature rise, and improve the thermal safety of the system, thereby avoiding tissue burns caused by excessive illumination. In combination with the multi-channel independent dimming and dimming function mapping mechanism, the imaging quality is ensured while the intraoperative visual experience and operation safety are improved, and the system is suitable for various complex endoscopic or endoscopic surgery scenes. Therefore, the endoscope system has the active distance perception, intelligent partition dimming, and image feedback optimization closed-loop control capabilities, can automatically adapt to the light quantity output under different illumination distances, and improve the overall imaging quality. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0039] Figure 1 It is a structural schematic diagram of the endoscope system of the present application;

[0040] Figure 2 It is a structural schematic diagram of the front end part of the endoscope system of the present application;

[0041] Figure 3 It is a structural schematic diagram of the endoscope system of the present application for realizing illumination control;

[0042] Figure 4 It is a flowchart of the dimming control of the illumination part by the dimming unit of the present application;

[0043] Figure 5 It is a flowchart of the endoscope dimming control method of the present application. DETAILED DESCRIPTION

[0044] In order to make the objects, technical solutions and advantages of the present disclosure clearer, the technical solutions in the present application will be described clearly and completely below with reference to the drawings in the present disclosure. Obviously, the described embodiments are part of, rather than all of, the embodiments of the present application. Based on the embodiments in the present disclosure, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present disclosure.

[0045] As shown in Figure 1 , the endoscope system 1 of Embodiment 1 has an endoscope 2, and a camera control unit 3 as an image processor.

[0046] The endoscope 2 is provided with an insertion portion 21 inserted into a body cavity, and a distal end portion 22 connected to a proximal end portion of the insertion portion 21. In addition, the distal end portion 22 of the insertion portion 21 is provided with an illumination portion 11 and an imaging portion 12.

[0047] The imaging portion 12 is configured to capture an image of tissue illuminated by the illumination portion 11. The illumination portion 11 generates illumination light for illuminating tissue present in a subject, and is configured to have N semiconductor light sources, where N is a positive integer, , and an imaging portion driver for driving the imaging portion 12, and the imaging portion driver can also be configured to be provided in the camera control unit 3 described later. When the endoscope 1 is connected to the light source 13, the illumination light emitted from the light source 13 is incident on the proximal end side input terminal, and is emitted from the distal end side output terminal of the endoscope 1, and the subject is illuminated by the illumination portion 11 of the distal end portion 22.

[0048] In the present embodiment, as shown in Figure 2 , a plurality of observation windows corresponding to the plurality of semiconductor light sources are arranged around the front surface of the imaging portion 12. In this case, the positional relationship between the plurality of observation windows and the imaging portion 12 corresponds to a plurality of brightness detection regions for detecting the brightness of a plurality of illumination regions described later.

[0049] As shown in Figure 3 , the endoscope system 1 further includes a distance measuring module 4 capable of acquiring real-time distance information between the illumination portion 11 and a target tissue of the subject based on the image of the tissue to be observed in the body cavity captured by the imaging portion 12. A hierarchical judgment module 5 is configured to determine the distance hierarchy to which each of the illumination portions 11 belongs according to the real-time distance information The lighting control module 6 is configured to generate a preset dimming strategy corresponding to the distance level Li to which the lighting part 11 belongs according to the distance level Li, respectively execute the corresponding preset dimming strategy to generate a corresponding dimming control signal, and control the output light quantity of each LED of the lighting part 11. The brightness detection of the lighting area is realized based on the real-time distance information between the plurality of LEDs of the lighting part 11 and the tissue to be collected. The real-time distance information is detected by the ranging module 4. Specifically, the ranging module 4 is configured to extract image brightness features corresponding to the irradiation area of each LED of the lighting part 11 based on the tissue image collected by the imaging part 12, and combine the current output light quantity decay information of the lighting part 11 to calculate the real-time distance information between the tissue contour area and the lighting part 11. After obtaining the real-time distance information of each LED, the lighting control module 6 adjusts the lighting light quantity of each LED by generating a corresponding dimming control signal through a plurality of dimming circuits according to the current preset dimming strategy, and the corresponding lighting area of each LED can be individually dimmed according to the real-time distance information.

[0050] In an embodiment, the dimming circuit can adjust the lighting light quantity of the LED by adjusting the PWM control parameter, the current value, etc.

[0051] In an embodiment, the ranging module 4 includes an edge detection unit 41 and a feature extraction unit 42. The edge detection unit 41 is configured to determine the boundary of the target area in the tissue image. The feature extraction unit 42 is configured to perform gradient analysis on the pixel brightness of the tissue contour area and extract brightness feature data including at least brightness gradient features and light attenuation features. A distance output unit 43 is configured to input the brightness feature data into a trained gradient mapping model and output the real-time distance information between the lighting part 11 and the tissue.

[0052] Specifically, the edge detection unit 41 is configured to perform image preprocessing and edge extraction operations on the tissue image obtained by the imaging part 12, identify high-frequency areas in the image, and extract tissue boundary information. Specifically, the edge detection unit can use the Sobel algorithm, the Canny operator, or the deep convolution network (such as the HED edge detection model) to locate the edge and obtain the contour area of the target tissue to improve the ranging accuracy.

[0053] In an embodiment, the feature extraction unit 42 further includes a gradient analysis subunit 421 configured to perform gradient analysis on the pixel brightness in the contour area and calculate the brightness gradient mean value in the contour area to obtain the image texture complexity; and a light attenuation calculation subunit 422 configured to calculate the light attenuation rate based on the ratio relationship between the current output light quantity of the lighting part 11 and the brightness estimate of the tissue image.

[0054] In an embodiment, the gradient analysis subunit 421 is configured to perform pixel brightness gradient calculation on the tissue profile region output by the edge detection unit 41, extract key brightness parameters in the tissue image, and calculate pixel values in the obtained gradient map and brightness gradient mean G, etc. The brightness gradient mean G can measure the overall intensity of the brightness change of the profile region.

[0055] In an embodiment, the gradient analysis subunit 421 can also analyze the brightness standard deviation and the maximum brightness difference, etc. The brightness standard deviation and the maximum brightness difference can further reflect the complexity of the image details and assist in determining whether there is a light spot or a strong light reflection region.

[0056] The attenuation calculation subunit 422 is configured to estimate the path attenuation degree of the light source to the tissue surface, and set the output light amount setting value of the illumination unit 11 according to the average brightness value of the corresponding region in the image captured by the imaging unit 12. The average brightness value of the corresponding region in the image captured by the imaging unit 12. The light attenuation rate is calculated. .

[0057] In an embodiment, the distance output unit 43 is configured to input the brightness feature data into the trained gradient mapping model to output real-time distance information d between the illumination unit 11 and the target tissue of the subject (target tissue). Specifically, the brightness feature parameters in the current tissue image are extracted in real time and input into the trained gradient mapping model, so as to output the estimated distance between the current illumination unit 11 and the target tissue of the subject as the real-time distance information d. The estimated distance is called by the subsequent distance level judgment module 5 to perform corresponding dimming according to the matched preset dimming strategy to realize the output light amount adjustment of the LED. The level judgment module 5 will be described in detail hereinafter.

[0058] In the pre-training stage, the gradient mapping model extracts the corresponding brightness gradient feature data of a large number of image samples under different known distances, and establishes a mapping relationship between the gradient and the distance, to obtain a trained nonlinear gradient mapping model. Specifically, a large number of sample data corresponding to the light attenuation rate / image brightness gradient mean (a, G) under different known distances are collected in the pre-training stage, and after training, a nonlinear gradient mapping model is formed to output real-time distance information between the illumination unit 11 and the tissue.

[0059] In an embodiment, a mapping function between the brightness gradient mean and the distance between the tissue can also be established by curve fitting (such as exponential fitting, polynomial fitting) to realize the calculation of the real-time distance information.

[0060] In an embodiment, the level judgment module 5 comprises a distance level mapping unit 51 configured to map the real-time distance information into any one of a plurality of different distance levels according to a plurality of preset distance level thresholds; and a threshold setting unit 52 configured to set the set of preset level thresholds according to a depth of field parameter of the imaging unit 12. The level judgment module divides the real-time distance information into a plurality of distance levels by a set of continuous distance thresholds, such as near field, mid-near field, mid field, mid-far field, far field, and the like.

[0061] In an embodiment, to adapt to different surgical scenarios and endoscope field of view depth, the set of distance level thresholds can be automatically set or dynamically adjusted by the threshold setting unit 52 based on image focal length, depth of field, angle of view, and the like, so as to realize refined level dimming control.

[0062] In an embodiment, the threshold setting unit 52 can generate a corresponding level threshold table by a table lookup method or a dynamic calculation method for use by the distance level mapping unit, so as to realize adaptive multi-level dimming control logic.

[0063] In an embodiment, each distance level can be defined by a pair of continuous threshold boundaries, and each segmented interval corresponds to a different distance level For example, if the depth of field is 2mm~20mm, a plurality of distance levels can be divided according to the depth of field range, for example: , then it is in the near field; : then it is in the mid-near field : then it is in the mid field; : then it is in the mid-far field; : then it is in the far field. The final output distance level Li is transmitted to the illumination control module 6, which calls the corresponding preset dimming strategy matched to the current distance level Li, to complete adaptive dimming control of each illumination unit 11.

[0064] In an embodiment, the illumination control module 6 comprises a dimming strategy matching unit 61 configured to select a preset dimming strategy corresponding to the distance level to which each LED in the illumination unit 11 belongs according to the distance level; and a dimming unit 62 configured to execute the matched preset dimming strategy, generate a corresponding dimming control signal based on the control of the dimming circuit corresponding to each LED, to adjust the output light quantity of the corresponding illumination unit 11.

[0065] The dimming function corresponding to the preset dimming strategy can be realized by at least one or more of a light quantity output target value, a PWM adjustment step, a beam angle, and a brightness balance compensation factor.

[0066] In one embodiment, the dimming unit includes a first adjustment unit 621, configured to control the output light intensity of the illumination unit to be adjusted according to a preset linear suppression function when the distance level to which the illumination unit 11 belongs is less than or equal to a first level threshold N1; a second adjustment unit 622, configured to control the output light intensity of the illumination unit to be adjusted exponentially according to a preset exponential compensation function when the distance level Li to which the illumination unit 11 belongs is greater than or equal to a second level threshold N2; and a smoothing adjustment unit 623, configured to control the illumination unit to remain within a reference brightness range by using a preset smoothing adjustment function when the distance is greater than the first level threshold N1 and less than the second level threshold N2.

[0067] In one embodiment, the dimming strategy may include a linear suppression model, an exponential compensation function, or a smooth transition function, with specific parameters set based on calibration data or empirical models, thereby achieving adaptive lighting optimization for different clinical scenarios.

[0068] Specifically, for the near-field illumination unit 11, the system employs a light intensity suppression strategy, reducing its output intensity and narrowing the beam angle through the first adjustment unit to minimize image overexposure and tissue thermal load caused by near-field illumination. For the far-field illumination unit 11, light intensity enhancement compensation is applied, using the second adjustment unit to increase the output light intensity or adjust the beam coverage to compensate for brightness attenuation caused by optical path loss. For the illumination unit 11 located between near and far-field illumination, a smooth adjustment strategy is employed, using the smooth adjustment unit to maintain image brightness stability by adjusting the PWM duty cycle or current control.

[0069] In one specific embodiment, such as Figure 4 As shown, when the corresponding distance level Distance does not exceed the first-level threshold At that time, the corresponding real-time distance information Not exceeding the first threshold Time (e.g.) The linear suppression function of the first adjustment unit controls the light output, as follows:

[0070]

[0071] in: Current output light intensity; Preset reference light intensity; Real-time distance information; First threshold; Linear attenuation coefficient , From the current determination. The output light quantity of the current illumination unit 11 is further suppressed by the linear suppression function, so that the output value of the illumination unit 11 is reduced to 50%-70% of the reference light quantity interval, thereby reducing overexposure and reducing heat accumulation.

[0072] When the distance level of the distance information d is greater than the second level threshold , when the real-time distance information d is greater than or equal to the second threshold , the exponential compensation function is used to increase the light quantity output:

[0073]

[0074] wherein, the current output light quantity is: the preset reference light quantity; the far-field distance determination threshold; the exponential compensation coefficient, determined by the current ; the real-time distance information. When the distance is greater than the second threshold, the exponential growth function can be used to increase the light quantity to 120%-150% of the reference interval, so as to compensate for the loss of brightness.

[0075] In an embodiment, when the real-time distance information d between the illumination unit and the target tissue corresponds to a distance level between the first level threshold and the second level threshold . That is, the current real-time distance information is between the first threshold and the second threshold , , the entire preset dimming strategy is adjusted by performing smooth adjustment to avoid sudden changes in brightness and maintain the continuity and stability of image brightness.

[0076] Further, within this distance interval, the illumination control module adjusts the duty cycle of the PWM control signal to achieve gradual adjustment of the light quantity. Specifically, the duty cycle is set to between 80% and 100%, and is dynamically adjusted in small steps, so that the output light quantity smoothly transitions between the near field (low brightness) and the far field (high brightness).

[0077] The adjustment process uses a smooth function associated with the distance d, which can be a cosine interpolation function, a Sigmoid function, or a linear transition function set for multiple distance segments, etc., to ensure that when the distance changes slowly, the illumination intensity also responds in a smooth curve, thereby avoiding stepwise fluctuations or jumps in image brightness.

[0078] In an embodiment, the endoscope system 1 further comprises an image compensation module 7 for performing light quantity compensation on the tissue image based on the brightness data and contrast of the tissue image after dimming control, to improve brightness consistency and image contrast. The image compensation module 7 can dynamically adjust the gray scale histogram of the image or apply a gamma correction algorithm based on the global brightness data characteristics of the target tissue image to compensate for local brightness unevenness caused by different illumination part dimming.

[0079] Specifically, after near-field suppression dimming of the illumination part 11, the near tissue in the image can have a slight brightness deficiency, at which time the image compensation module performs uniform adjustment through a brightness enhancement function based on the brightness histogram distribution, so that the overall brightness of the image is maintained within the set dynamic range. Further, the visual clarity of the tissue edge region can be optimized based on a local contrast enhancement algorithm (such as CLAHE)

[0080] In an embodiment, the endoscope system 1 further comprises a safety control module 8 for controlling the illumination part to suppress the output light quantity when the temperature monitoring component detects that the preset region temperature of the illumination part exceeds the preset safety threshold. The safety control module 8 comprises a temperature monitoring component, which can be a thermocouple or an infrared temperature sensor, arranged on the housing of the illumination part 11 or close to the tissue contact area. Specifically, when the temperature monitoring component detects that the current temperature exceeds the preset safety threshold (for example, 43°C), the safety control module automatically controls the illumination part to enter a power reduction mode, reduces the heat radiation intensity by reducing the output driving current, reducing the beam angle, or intermittent dimming, thereby avoiding thermal damage to the target tissue.

[0081] Specifically, the temperature monitoring component comprises a plurality of temperature sensors arranged on the peripheral region of the observation window of the front end of the endoscope and the heat dissipation substrate of the illumination part 11. The temperature sensor can use a temperature sensing chip or an infrared temperature detector to realize real-time monitoring of the temperature of the adjacent region of the illumination part 11. For example, when the detected temperature exceeds the first threshold (45°C), the output light quantity is reduced to 50% to 70% of the reference value; when the detected temperature exceeds the second threshold (42°C), the output light quantity is further reduced to 20% to 40%.

[0082] In an embodiment, the safety control module 8 works in coordination with the dimming control strategy to constitute a closed-loop control of light quantity and temperature. That is, on the basis of executing the distance-aware dimming strategy, the temperature safety control logic can be preferentially executed, so as to balance the overall brightness of the image and the safety of the tissue.

[0083] In an embodiment, the safety control module 9 can work with the image compensation module 8 to appropriately increase the image gain during heat suppression dimming to maintain visual brightness stability

[0084] In an embodiment, the endoscope system further comprises a brightness feedback control module 9 for analyzing the brightness data features of the tissue image collected by the camera unit and generating light quantity correction instructions according to the comparison result with the set brightness uniformity threshold to feedback to the illumination control module 6 to realize light quantity adjustment.

[0085] The present application proposes a multi-level distance perception and dimming mechanism based on image information and output light quantity collaborative analysis, which can dynamically match appropriate light quantity output strategy according to the real-time distance between each illumination unit and the tissue, and realize targeted light optimization. Through the safety control module, the temperature of the adjacent area of the illumination unit can be monitored in real time, and when the temperature exceeds the safety threshold, the light quantity suppression strategy is automatically executed to effectively prevent the tissue from being burned due to overheating. Through the closed-loop control mechanism of temperature and light quantity, light quantity-temperature dynamic adjustment is realized, which can reduce the heat risk during close-range operation while maintaining the overall brightness stability of the image, and can ensure the best balance between tissue protection and image brightness.

[0086] In another embodiment, as shown in Figure 5 The present application further provides an endoscope dimming control method, which is applied to the endoscope system of any of the preceding embodiments, and the endoscope dimming control method comprises the following steps:

[0087] Step S200: Based on the tissue image collected by the camera unit, real-time distance information of the target tissue area corresponding to the illumination unit is obtained. Specifically, the camera unit collects the tissue image in real time, and determines the illumination area range through an edge detection algorithm, and calculates image feature parameters such as brightness gradient mean value and brightness data standard deviation in the area.

[0088] Step S400: Determine the distance level to which each illumination unit belongs according to the real-time distance information. The control system calls the trained neural network model, inputs the current image features (such as brightness gradient value) and the current light source power, and outputs the predicted distance of the illumination area of each illumination unit.

[0089] Step S600: According to the distance level to which each illumination unit belongs, the corresponding preset dimming strategy is executed respectively to control the output light quantity of each illumination unit.

[0090] By applying the endoscope dimming control method to the endoscope system of any of the preceding embodiments, independent light quantity dynamic adjustment of each illumination unit under different distance levels can be realized, which significantly improves the image brightness uniformity and heat safety, and avoids the risk of tissue burns.

[0091] The apparatus embodiments described above are only illustrative, wherein the units described as separate components can or can not be physically separated, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement it without creative labor.

[0092] It can be further understood that, although the operations are described in a specific order in the drawings, they should not be understood as requiring a specific order or a serial order, or requiring all of the shown operations to obtain the desired results. In a specific environment, multi-tasking and parallel processing can be advantageous.

[0093] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features, or make different combination of the above technical features; and these modifications, replacements and combinations do not make the essence of the corresponding technical scheme deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An endoscope system having an insertion section capable of being inserted into a body cavity, characterized by comprising: The application relates to a medical endoscope, which comprises the following parts: a front end part arranged at the front end of the insertion part; a camera part arranged at the front end part; an illumination part arranged around the camera part and used for illuminating the camera field of view of the camera part; a distance measuring module used for acquiring real-time distance information between the illumination part and target tissue based on a tissue image collected by the camera part; a distance level judgment module used for judging the distance level to which each illumination part belongs according to the real-time distance information; an illumination control module used for generating a preset light adjustment strategy corresponding to the distance level to which the illumination unit belongs, so as to control the output light quantity of each illumination part.

2. The endoscope system of claim 1, wherein The distance measuring module comprises: an edge detection unit used for extracting the contour area of target tissue by performing edge detection on the tissue image; a feature extraction unit used for analyzing the pixel brightness in the contour area and extracting brightness feature data including at least brightness gradient features and light attenuation features; a distance output unit used for inputting the brightness feature data into a trained gradient mapping model and outputting the real-time distance information between the illumination part and tissue.

3. The endoscope system of claim 2, wherein The feature extraction unit comprises: a gradient analysis subunit used for performing gradient analysis on the pixel brightness in the contour area and calculating the brightness gradient mean value in the contour area to obtain image texture complexity; a light attenuation calculation subunit used for calculating the light attenuation rate based on the ratio relationship between the current output light quantity of the illumination part and the brightness estimation value of the tissue image.

4. The endoscope system of claim 1, wherein The distance level judgment module comprises: a distance level mapping unit used for mapping the real-time distance information into any one of a plurality of different distance levels according to a plurality of preset distance level thresholds; a threshold setting unit used for setting a set of preset level thresholds according to the depth of field parameter of the camera part.

5. The endoscope system of claim 1, wherein The illumination control module comprises: a light adjustment strategy matching unit used for matching the preset light adjustment strategy corresponding to the distance level to which the illumination part belongs according to the distance level to which the illumination part belongs; a light adjustment unit used for executing the matched preset light adjustment strategy, generating a corresponding light adjustment control signal and adjusting the output light quantity of the corresponding illumination part.

6. The endoscope system of claim 5, wherein The light adjustment unit comprises: a first adjustment unit used for controlling the output light quantity of the illumination part to be adjusted according to a preset linear inhibition function when the distance level to which the illumination part belongs is less than or equal to a first level threshold; a second adjustment unit used for controlling the output light quantity of the illumination part to be enhanced according to a preset exponential compensation function when the distance level to which the illumination part belongs is greater than or equal to a second level threshold; a smooth adjustment unit used for continuously adjusting the output light quantity of the illumination part based on a preset smooth transition function to control the illumination part to maintain in a reference brightness interval when the distance level to which the illumination part belongs is between the first level threshold and the second level threshold.

7. The endoscope system of claim 1, wherein The application further comprises: an image compensation module used for performing light quantity compensation on the tissue image based on the brightness data and image contrast of the tissue image output by the illumination control module.

8. The endoscope system of claim 1, wherein The system further comprises a safety control module configured to control the lighting part to suppress the output light amount when the temperature monitoring component detects that the preset region temperature of the lighting part exceeds a preset safety threshold.

9. The endoscope system of claim 1, wherein The system further comprises a brightness feedback control module configured to analyze the brightness data features of the tissue images collected by the imaging part, and generate light amount correction instructions according to the comparison result with the set brightness uniformity threshold to feedback to the lighting control module to realize light amount adjustment.

10. An endoscope dimming control method applied to the endoscope system according to any one of claims 1 to 9, characterized by, The method comprises the following steps: Based on the tissue images collected by the imaging part, real-time distance information of the target tissue region corresponding to the lighting part is obtained; According to the real-time distance information, the distance level to which each lighting part belongs is determined; According to the distance level to which each lighting part belongs, a corresponding preset dimming strategy is executed to control the output light amount of each lighting part.

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