Tear secretion volume acquisition method and system

Abstract

The present invention relates to the technical field of liquid collection, and in particular to a tear secretion volume acquisition method and system. The method comprises: collecting a tear meniscus image of a subject; using a motion sensor and an image recognition algorithm to track the flowing of a tear meniscus in real time; processing the collected tear meniscus image; calculating a tear meniscus height value; performing analysis on the basis of received image data, and determining whether the tear meniscus height value is normal; and a user checking real-time data and historical records of the tear meniscus height value by means of a touch screen, and performing system setting and parameter adjustment by means of control buttons. In the present invention, a motion sensor and an advanced image recognition algorithm are combined, such that a flowing path of a tear meniscus can be recognized and tracked in real time. Such an integrated application makes a dynamic tracking process more accurate, can effectively cope with complex changes in morphology and flowing of a tear meniscus, and updates images in real time and performs error correction. The present invention improves the tracking precision and system response speed, enabling more real-time and accurate monitoring of the flowing of a tear meniscus.

Description

A method and system for obtaining tear secretion volume Technical Field

[0001] This invention relates to the field of liquid collection technology, and in particular to a method and system for obtaining tear secretion volume. Background Technology

[0002] With the development of technology, people are paying increasing attention to their own health. As an important part of overall health, eye health is receiving more and more attention. The amount of tear secretion is one of the important indicators reflecting eye health, and its changes can indicate various eye diseases, such as dry eye syndrome and keratitis.

[0003] However, through exploration, the inventors have discovered that this technical solution still has at least the following defects:

[0004] In tear secretion measurement, image acquisition typically relies on a single viewpoint or light source, which can lead to information loss or inconsistencies in the acquired tear river images under different lighting conditions. These methods may still fail to provide sufficient detail and accuracy when dealing with complex lighting environments or dynamic changes.

[0005] Current dynamic tracking technologies typically rely on a single algorithm to identify and track tear rivers, which may not be sufficient to handle the complex flow and morphological changes of tear rivers. Traditional motion sensors and image recognition algorithms may suffer from insufficient recognition accuracy, affecting the accuracy and real-time performance of tear river flow paths.

[0006] In image processing and analysis, existing image fusion techniques are often limited to simple enhancement techniques, which may not be able to fully highlight the key features and details in an image. Technical issues

[0007] To achieve the above objectives, the present invention provides a tear secretion acquisition system. Technical solutions

[0008] A tear secretion volume acquisition system includes an image acquisition module, a dynamic tracking module, an image processing module, a tear river height calculation module, a data analysis module, and a user interaction module, wherein:

[0009] The image acquisition module acquires images of the tear stream of the subject being tested;

[0010] The dynamic tracking module uses motion sensors and image recognition algorithms to track the flow of the Tears River in real time and update the Tears River image in real time.

[0011] The image processing module processes the updated tear river image;

[0012] The tear river height calculation module calculates the height value of the tear river based on the tear river boundary extracted by the image processing module;

[0013] The data analysis module includes a data receiving unit, a data storage unit, and a result interpretation unit. The data receiving unit is used to receive image data transmitted by the data transmission module. The data storage unit is used to store the received image data and historical data. The result interpretation unit analyzes the received image data and interprets whether the height value of the Tears River is normal.

[0014] The user interaction module uses a touch screen and control buttons to complete the information interaction between the user and the system. Users can view real-time data and historical records of the height of the Tears River through the touch screen, and make system settings and parameter adjustments through the control buttons.

[0015] Optionally, the image acquisition module includes:

[0016] Camera positioning: Install multiple cameras at different angles along the River of Tears;

[0017] Near-infrared light source arrangement: Install multiple near-infrared light sources around the camera;

[0018] Lighting adjustment: Automatically adjusts the brightness and direction of the near-infrared light source according to changes in ambient light;

[0019] Synchronous shooting: Through a synchronous control system, all cameras are coordinated to capture images of the tear river simultaneously within the same time period.

[0020] Optionally, the dynamic tracking module includes:

[0021] Motion sensor placement: Motion sensors are placed around the camera of the image acquisition module to capture motion changes within the tear river area;

[0022] Preliminary image acquisition: The initial image of the tear river is obtained using the image acquisition module to determine the initial location and shape of the tear river;

[0023] Image segmentation: The acquired tear river image is segmented using image recognition algorithms to extract the boundary and main features of the tear river;

[0024] Motion detection: Motion sensors are used to capture motion within the tear river region and generate motion data;

[0025] Path recognition: Combining motion data from motion sensors with image recognition algorithms to identify and track the flow path of the Tears River in real time;

[0026] Image update: By comparing consecutive image frames, the changes in the shape and location of the tear river are tracked, and the tear river image is dynamically updated;

[0027] Error correction: Correcting errors caused by noise or external interference during the tracking process.

[0028] Optionally, the image processing module includes:

[0029] Image preprocessing: The updated tear river image is processed using a denoising algorithm to eliminate random noise and background interference in the image, and sharp edges and discontinuities in the image are reduced through image smoothing techniques;

[0030] Feature extraction: An edge detection algorithm is used to identify and extract edge features in the tear river image to determine the contour of the tear river. A key point detection algorithm is used to identify important feature points in the tear river image, including the upper and lower boundaries of the tear river and the distribution of tear fluid.

[0031] Image enhancement: Using contrast enhancement technology, the brightness differences in different areas of the Tears River image are improved, and the colors of the Tears River image are adjusted;

[0032] Image correction: Geometric correction is performed on the tear river image to eliminate the effects of camera angle and lens distortion, and the brightness is adjusted in different areas of the image using a brightness equalization algorithm;

[0033] Image storage and transmission: The processed image data is compressed and sent to the data analysis module for further processing and analysis.

[0034] Optionally, the image enhancement includes:

[0035] Image contrast enhancement: Histogram equalization is performed on the acquired tear river image, and the gray values ​​of the original image are redistributed through equalization algorithm;

[0036] Equalization effect verification: Visual verification and statistical analysis are performed on the equalized image;

[0037] Color adjustment: Gamma correction is performed on the equalized tear river image, and the brightness of the image is adjusted through nonlinear transformation;

[0038] Verification of color adjustment effect: Visual verification and brightness comparison analysis of the gamma-corrected image;

[0039] Image fusion combines images that have undergone contrast enhancement and color adjustment, and further image processing techniques are used to highlight key features in the tear river image.

[0040] Results storage and transmission: The enhanced tear river image is stored in the data storage unit, and the enhanced image data is transmitted to the data analysis module for processing and analysis through the data transmission module.

[0041] Optionally, the image fusion includes:

[0042] Wavelet transform of images: transforming each image after contrast enhancement and color adjustment and The low-frequency and high-frequency coefficients of the image are obtained by applying discrete wavelet transform respectively.

[0043] Coefficient fusion, specifically including:

[0044] Fusing low-frequency coefficients: By applying a weighted average or selecting the maximum value strategy to low-frequency coefficients, the basic structural information of the image is fused.

[0045] Fusion of high-frequency coefficients: For each high-frequency coefficient ( A maximum value selection strategy is adopted to preserve the details and edge information of the image.

[0046] Inverse wavelet transform application: Performing inverse wavelet transform on the fused coefficients: Performing inverse wavelet transform on the fused low-frequency and high-frequency coefficients to generate the fused image. ;

[0047] Image quality optimization: Apply further image enhancement techniques to the fused image.

[0048] Optionally, the tear river height calculation module includes:

[0049] Boundary recognition: Based on the tear river image extracted by the image processing module, Canny edge detection is used to identify the upper and lower boundaries of the tear river and calculate the gradient magnitude;

[0050] Boundary marking: Determine the positions of the upper and lower boundaries below the center of the pupil in the tear river image, and mark these boundary points in the image to form the upper and lower boundary lines of the tear river;

[0051] Boundary position extraction: Extract boundary position data from the calibrated upper and lower boundary lines, including the coordinates of the upper and lower boundaries;

[0052] Height measurement: Calculate the vertical distance between the upper and lower boundaries to obtain the height value of the Tears River;

[0053] Result correction: Correct the calculated height value to compensate for deviations introduced by image acquisition angle or image processing errors.

[0054] Optionally, the data analysis module includes:

[0055] Data reception: The data receiving unit receives tear river image data from the data transmission module. The received data includes image files and their related metadata. The received image data is initially checked, decoded, and converted in format.

[0056] Data storage: The data storage unit saves the received image data to the system's database, including the current image data and its processing results, merges newly received image data with historical data, and updates the data storage records;

[0057] Result interpretation: Extract the height value of the Tears River from the stored data and compare it with the preset normal range;

[0058] The interpretation results are classified as "normal", "mildly abnormal", "moderately abnormal" or "severely abnormal".

[0059] Report generation: Based on the interpretation results, an analysis report is generated, including the height of the tear river, interpretation conclusions, trend analysis, and recommendations.

[0060] Optionally, the user interaction module includes:

[0061] Real-time data display: The touch screen displays the height of the Tear River in real time, including the current measurement value, historical data charts and statistical information. The data display area on the touch screen will be dynamically updated according to the latest data transmitted by the data analysis module.

[0062] Historical Record Viewing: The touchscreen provides access to historical records, allowing users to view past data records and analysis results. Users can also use the filtering tools on the touchscreen to select historical records for specific time periods or under specific conditions.

[0063] System Settings: The touchscreen provides a system settings interface through which users can configure the system, including adjusting parameters and selecting display options. Modifications made by users in the settings interface can be confirmed by control buttons and saved to the system.

[0064] Parameter adjustment: The control buttons allow users to adjust system parameters, including the threshold of the normal range of the tear river height and the data update frequency. After the user adjusts the parameters, the system will provide real-time feedback on the adjustment effect and display the corresponding confirmation information on the touch screen.

[0065] User feedback: The touchscreen will provide a confirmation prompt after the user completes the operation. If an error occurs during the operation, the touchscreen will display the error message and solution suggestions.

[0066] A method for obtaining tear secretion volume, implemented by the tear secretion volume obtaining system according to any one of claims 1-9, includes the following steps:

[0067] S1, Image Acquisition: Acquire images of the tear stream of the subject being tested;

[0068] S2, Dynamic Tracking: Utilizes motion sensors and image recognition algorithms to track the flow of the Tears River in real time and update the Tears River image in real time;

[0069] S3, Image Processing: Process the updated tear river image;

[0070] S4, Tear River Height Calculation: Calculate the height of the Tear River based on the boundary of the Tear River extracted by the image processing module;

[0071] S5, Data Analysis: Includes a data receiving unit, a data storage unit, and a result interpretation unit. The data receiving unit is used to receive image data transmitted by the data transmission module. The data storage unit is used to store the received image data and historical data. The result interpretation unit analyzes the received image data and interprets whether the height value of the tear river is normal.

[0072] S6, User Interaction: The system facilitates information exchange between the user and the system using a touchscreen and control buttons. Users can view real-time data and historical records of the river's height through the touchscreen and adjust system settings and parameters through the control buttons. Beneficial effects

[0073] The beneficial effects of this invention are:

[0074] This invention, through the configuration of multiple cameras and near-infrared light sources, acquires tear river images from different angles and lighting conditions, significantly improving image integrity and consistency. This multi-angle acquisition and lighting optimization technology ensures clear and comprehensive tear river images can be obtained under various lighting conditions, providing a high-quality data foundation for subsequent image processing and analysis. This innovation significantly improves the accuracy and reliability of image acquisition, contributing to more accurate measurement of tear secretion.

[0075] This invention combines motion sensors and advanced image recognition algorithms to identify and track the flow path of the Tears River in real time. This integrated application makes the dynamic tracking process more accurate and effectively addresses the complex changes in the Tears River's morphology and flow. Furthermore, by updating images in real time and performing error correction, this invention improves tracking accuracy and system response speed, making the monitoring of the Tears River's flow more real-time and accurate.

[0076] This invention employs optimized wavelet transform technology for image fusion, significantly improving the overall image quality and detail by finely processing low-frequency and high-frequency coefficients. Wavelet transform fusion not only preserves the basic structure of the image but also enhances details and edges, ensuring the clarity and prominent features of the Tears River image. Furthermore, combined with additional image enhancement techniques, this invention optimizes the visual effect of the image, providing high-quality data support for the accurate measurement and analysis of the Tears River's height. Attached Figure Description

[0077] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0078] Figure 1 is a schematic diagram of a tear secretion acquisition system according to an embodiment of the present invention;

[0079] Figure 2 is a schematic diagram of a method for obtaining tear secretion volume according to an embodiment of the present invention. The best embodiment of the present invention

[0080] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. It should also be noted that, to make the embodiments more comprehensive, the following embodiments are the best and preferred embodiments, and those skilled in the art can use other alternative methods to implement some well-known technologies; moreover, the accompanying drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0081] It should be noted that the use of terms such as "an embodiment," "an embodiment," "an exemplary embodiment," and "some embodiments" in the specification indicates that the described embodiment may include a specific feature, structure, or characteristic, but not every embodiment necessarily includes that specific feature, structure, or characteristic. Furthermore, when a specific feature, structure, or characteristic is described in connection with an embodiment, implementing such a feature, structure, or characteristic in conjunction with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the art.

[0082] Generally, terms can be understood at least partly from their use in context. For example, depending at least partly on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in a singular sense, or a combination of features, structures, or characteristics in a plural sense. Additionally, the term "based on" can be understood not necessarily to convey an exclusive set of factors, but rather, alternatively, depending at least partly on the context, to allow for the presence of other factors that are not necessarily explicitly described.

[0083] As shown in Figure 1, a tear secretion acquisition system includes an image acquisition module, a dynamic tracking module, an image processing module, a tear river height calculation module, a data analysis module, and a user interaction module, wherein:

[0084] The image acquisition module acquires tear stream images of the subject, including images acquired from different angles and under different lighting conditions using a camera and a near-infrared light source.

[0085] The dynamic tracking module uses motion sensors and image recognition algorithms to track the flow of the Tears River in real time, identify and track the flow path of the Tears River, and update the Tears River image in real time.

[0086] The image processing module processes the updated image of the Tears River. The image processing module includes an image preprocessing unit, a feature extraction unit, and an image enhancement unit. The image preprocessing unit is used to remove noise and background interference, the feature extraction unit is used to extract key features of the Tears River, and the image enhancement unit enhances the contrast and clarity of the image.

[0087] The tear river height calculation module calculates the height value of the tear river based on the tear river boundary extracted by the image processing module. The tear river height calculation module includes an automatic calibration unit and a height calculation unit. The automatic calibration unit is used to calibrate the upper and lower boundaries of the tear river below the center of the pupil, and the height calculation unit calculates the tear river height value.

[0088] The data analysis module includes a data receiving unit, a data storage unit, and a result interpretation unit. The data receiving unit receives image data transmitted by the data transmission module, the data storage unit stores the received image data and historical data, and the result interpretation unit analyzes the received image data to determine whether the height value of the tear river is normal.

[0089] The user interaction module uses a touchscreen and control buttons to facilitate information exchange between the user and the system. Users can view real-time data and historical records of the river's height through the touchscreen and adjust system settings and parameters through the control buttons.

[0090] The image acquisition module includes:

[0091] Camera positioning: Multiple cameras are installed at different angles along the River of Tears to ensure coverage of the entire area of ​​the River of Tears;

[0092] Near-infrared light source arrangement: Multiple near-infrared light sources are installed around the camera to ensure uniform illumination of the tear river area under different lighting conditions and reduce light interference;

[0093] Lighting adjustment: The brightness and direction of the near-infrared light source are automatically adjusted according to changes in ambient light to optimize the lighting conditions in the Tears River area;

[0094] Synchronous shooting: Through a synchronous control system, all cameras are coordinated to capture images of the tear river simultaneously within the same time period, ensuring the timeliness and consistency of the images.

[0095] By optimizing the arrangement of multi-angle cameras and near-infrared light sources, comprehensive coverage and uniform illumination of the Tears River area were ensured, thereby improving image clarity and accuracy. These optimizations enhanced the reliability and precision of image acquisition, providing high-quality data support for subsequent image processing and analysis.

[0096] The dynamic tracking module includes:

[0097] Motion sensor placement: Motion sensors are placed around the camera of the image acquisition module to capture motion changes within the tear river area;

[0098] Preliminary image acquisition: The initial image of the tear river is obtained using the image acquisition module to determine the initial location and shape of the tear river;

[0099] Image segmentation: The acquired tear river image is segmented using image recognition algorithms to extract the boundary and main features of the tear river;

[0100] Motion detection: Motion sensors are used to capture motion within the tear river region and generate motion data;

[0101] Path recognition: Combining motion data from motion sensors with image recognition algorithms to identify and track the flow path of the Tears River in real time;

[0102] Image Update: By comparing consecutive image frames, the changes in the shape and location of the tear river are tracked, and the tear river image is dynamically updated.

[0103] Error correction: Corrects errors caused by noise or external interference during the tracking process to ensure the accuracy of the tear river flow path.

[0104] By deploying motion sensors around the camera, precise capture of motion changes within the Tears River area was achieved. Preliminary image acquisition and segmentation techniques effectively extracted the initial position and key features of the Tears River, laying the foundation for subsequent dynamic tracking. Motion detection and path recognition functions, combining sensor data and image recognition algorithms, enabled real-time tracking of the Tears River's flow path. Image updates and error correction ensured the accuracy and reliability of the data.

[0105] The image processing module includes:

[0106] Image preprocessing: The updated tear river image is processed using a denoising algorithm to eliminate random noise and background interference in the image. Image smoothing technology is used to reduce sharp edges and discontinuities in the image and improve image quality.

[0107] Feature extraction: An edge detection algorithm is used to identify and extract edge features in the tear river image to determine the contour of the tear river. A key point detection algorithm is used to identify important feature points in the tear river image, including the upper and lower boundaries of the tear river and the distribution of tear fluid.

[0108] Image enhancement: Using contrast enhancement technology, the brightness differences in different areas of the Tears River image are improved, making image details clearer. The colors of the Tears River image are adjusted to enhance the visual effect of the image and make key features more prominent.

[0109] Image correction: Geometric correction is performed on the tear river image to eliminate the effects of camera angle and lens distortion, ensuring image accuracy. A brightness equalization algorithm is used to adjust the brightness of different areas in the image, making the image more uniform and natural.

[0110] Image storage and transmission: The processed image data is compressed to reduce the amount of data, improve transmission efficiency, and then sent to the data analysis module for further processing and analysis.

[0111] Multi-stage processing improved the quality and analytical accuracy of the tear river image, enhanced key information in the image, improved the visual effect of the image, made the features more prominent, ensured the image accuracy, and optimized the data transmission efficiency.

[0112] Image enhancement includes:

[0113] Image contrast enhancement: Histogram equalization is performed on the acquired tear river image. The gray values ​​of the original image are redistributed using an equalization algorithm, as shown below: ;

[0114] in, The grayscale value after equalization. The number of gray levels (usually 256). The grayscale value is The number of pixels, This represents the total number of pixels. Grayscale values ​​range from 0 to The cumulative distribution function;

[0115] Equalization effect verification: Visual verification and statistical analysis are performed on the equalized image to ensure that the contrast enhancement effect is significant;

[0116] Color adjustment: Gamma correction is performed on the equalized tear river image. The brightness of the image is adjusted through non-linear transformation to make image details clearer, as shown below: ;

[0117] in, These are the pixel values ​​after gamma correction. These are the pixel values ​​of the original image, typically ranging from 0 to 1. This is the gamma value, and commonly used values ​​are between 0.5 and 2.5.

[0118] Color adjustment effect verification: Visual verification and brightness comparison analysis are performed on the gamma-corrected image to ensure that the visual effect of the color-adjusted image is significantly improved;

[0119] Image fusion is a process that combines images that have undergone contrast enhancement and color adjustment to ensure that the details and visual effects of the images are at their best. Through further image processing techniques, key features in the tear river image are highlighted, thereby improving the overall quality of the image.

[0120] Results storage and transmission: The enhanced tear river image is stored in the data storage unit to ensure the integrity and traceability of the image data. The enhanced image data is then transmitted to the data analysis module for processing and analysis via the data transmission module.

[0121] Through techniques such as contrast enhancement, color adjustment, and image fusion, the visual effect and analytical accuracy of the Tears River image were significantly improved, making details clearer. Gamma correction further enhanced the image's brightness and color performance. Image fusion technology ensured the consistency and optimal state of the enhanced image in terms of detail and visual effect.

[0122] Image fusion includes:

[0123] Wavelet transform of images: transforming each image after contrast enhancement and color adjustment and Applying Discrete Wavelet Transform (DWT) to obtain the low-frequency and high-frequency coefficients of the image, respectively, is as follows:

[0124] ;

[0125] in, Low-frequency coefficients , and These are the high-frequency coefficients for horizontal, vertical, and diagonal lines, respectively.

[0126] Coefficient fusion specifically includes: fusing low-frequency coefficients: by applying a weighted average or selecting the maximum value strategy to the low-frequency coefficients, the basic structural information of the image is fused, as shown below: ;

[0127] in, These are weighting coefficients;

[0128] Fusion of high-frequency coefficients: For each high-frequency coefficient ( The maximum value selection strategy is used to preserve the details and edge information of the image, as shown below: ;

[0129] in, High-frequency coefficients representing different types;

[0130] Inverse wavelet transform application: Performing inverse wavelet transform on the fused coefficients: Performing inverse wavelet transform (IDWT) on the fused low-frequency and high-frequency coefficients to generate the fused image. , represented as: ;

[0131] in, This is the inverse discrete wavelet transform operation;

[0132] Image quality optimization: Further image enhancement techniques (such as local contrast enhancement or noise suppression) are applied to the fused image to further optimize image quality and highlight features in the tear river image, as shown below: ;

[0133] in, This refers to image quality optimization techniques;

[0134] Through a comprehensive process involving discrete wavelet transform, coefficient fusion, and inverse wavelet transform, the overall image quality and detail representation were significantly improved. Discrete wavelet transform decomposes the image into low-frequency and high-frequency coefficients, processing the image's basic structure and detailed information respectively, resulting in clearer details and edges. The fusion of low-frequency coefficients preserves the image's main structure, while the fusion of high-frequency coefficients enhances image details and edges. Inverse wavelet transform resynthesizes these fused coefficients into the final image, and further image enhancement techniques optimize the visual effect, thus ensuring the clarity and prominent features of the tear river image and providing high-quality data for accurate analysis and measurement.

[0135] The Tears River height calculation module includes:

[0136] Boundary recognition: Based on the tear river image extracted by the image processing module, Canny edge detection is used to identify the upper and lower boundaries of the tear river, and the gradient magnitude is calculated, represented as: ;

[0137] in, and The images are respectively in and Gradient of direction;

[0138] Boundary marking: Determine the positions of the upper and lower boundaries below the center of the pupil in the tear river image, and mark these boundary points in the image to form the upper and lower boundary lines of the tear river;

[0139] Boundary position extraction: Extract boundary position data from the calibrated upper and lower boundary lines, including the coordinates of the upper and lower boundaries;

[0140] Height measurement: Calculate the vertical distance between the upper and lower boundaries to obtain the height value of the Tears River;

[0141] Result correction: The calculated height value is corrected to compensate for deviations introduced by image acquisition angle or image processing errors, ensuring the accuracy of the height value.

[0142] Through comprehensive processing including boundary identification, boundary calibration, boundary location extraction, height measurement, and result correction, the calculation process for the height of the tear river can accurately measure its value, ensuring accurate measurement and providing reliable data support for the assessment of tear secretion.

[0143] The data analysis module includes:

[0144] Data reception: The data receiving unit receives tear river image data from the data transmission module. The received data includes image files and their related metadata. The unit performs a preliminary check on the received image data to ensure its integrity and correctness, and then performs decoding and format conversion.

[0145] Data storage: The data storage unit saves the received image data to the system's database, including the current image data and its processing results, merges newly received image data with historical data, and updates the data storage records for trend analysis and comparison.

[0146] Result Interpretation: Extract the height value of the Tears River from the stored data and compare it with the preset normal range. The result is expressed as: Interpretation Result = ;

[0147] in, This is the currently calculated height of the Tears River. and These represent the lower and upper limits of the normal range;

[0148] The interpretation results are classified as "normal", "mildly abnormal", "moderately abnormal" or "severely abnormal".

[0149] Report generation: Based on the interpretation results, an analysis report is generated, including tear river height values, interpretation conclusions, trend analysis, and recommendations, for use in subsequent medical decision-making.

[0150] The user interaction module includes:

[0151] Real-time data display: The touchscreen displays the height of the River of Tears in real time, including the current measurement, historical data charts and statistics. The data display area on the touchscreen will be dynamically updated according to the latest data transmitted by the data analysis module to ensure that users have the latest information on the height of the River of Tears.

[0152] Historical Record Viewing: The touchscreen provides access to historical records, allowing users to view past data records and analysis results. Users can also use the filtering tools on the touchscreen to select historical records for specific time periods or under specific conditions.

[0153] System Settings: The touchscreen provides a system settings interface through which users can configure the system, including adjusting parameters and selecting display options. Modifications made by users in the settings interface can be confirmed by control buttons and saved to the system.

[0154] Parameter adjustment: The control buttons allow users to adjust system parameters, including the threshold of the normal range of the tear river height and the data update frequency. After the user adjusts the parameters, the system will provide real-time feedback on the adjustment effect and display the corresponding confirmation information on the touch screen.

[0155] Operation feedback: The touchscreen will provide a confirmation prompt after the user completes the operation to ensure the accuracy of the operation; if an error occurs during the operation, the touchscreen will display error information and solution suggestions to help the user correct the operation.

[0156] The touchscreen and control buttons provide comprehensive information display and system settings, greatly enhancing the user experience and ease of operation. This ensures that users can use the system efficiently and accurately, and make effective adjustments and decisions.

[0157] As shown in Figure 2, a method for obtaining tear secretion volume, implemented by the aforementioned tear secretion volume acquisition system, includes the following steps:

[0158] S1, Image Acquisition: Acquire tear stream images of the subject, including acquiring tear stream images from different angles using a camera and near-infrared light source, and acquiring tear stream images under different lighting conditions;

[0159] S2, Dynamic Tracking: Utilizes motion sensors and image recognition algorithms to track the flow of the Tears River in real time, identify and track the flow path of the Tears River, and update the Tears River image in real time;

[0160] S3, Image Processing: Process the updated Tears River image. The image processing module includes an image preprocessing unit, a feature extraction unit, and an image enhancement unit. The image preprocessing unit is used to remove noise and background interference, the feature extraction unit is used to extract key features of the Tears River, and the image enhancement unit enhances the contrast and clarity of the image.

[0161] S4, Tear River Height Calculation: Based on the tear river boundary extracted by the image processing module, the height value of the tear river is calculated. The tear river height calculation module includes an automatic calibration unit and a height calculation unit. The automatic calibration unit is used to calibrate the upper and lower boundaries of the tear river below the center of the pupil, and the height calculation unit calculates the tear river height value.

[0162] S5, Data Analysis: Includes a data receiving unit, a data storage unit, and a result interpretation unit. The data receiving unit is used to receive image data transmitted by the data transmission module. The data storage unit is used to store the received image data and historical data. The result interpretation unit analyzes the received image data and interprets whether the height value of the tear river is normal.

[0163] S6, User Interaction: The system facilitates information exchange between the user and the system using a touchscreen and control buttons. Users can view real-time and historical data of the river's height via the touchscreen and adjust system settings and parameters using the control buttons.

[0164] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.

[0165] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A tear secretion acquisition system, characterized in that, It includes an image acquisition module, a dynamic tracking module, an image processing module, a tear river height calculation module, a data analysis module, and a user interaction module, among which: The image acquisition module acquires images of the tear stream of the subject being tested; The dynamic tracking module uses motion sensors and image recognition algorithms to track the flow of the Tears River in real time and update the Tears River image in real time. The image processing module processes the updated tear river image; The tear river height calculation module calculates the height value of the tear river based on the tear river boundary extracted by the image processing module; The data analysis module receives image data transmitted by the data transmission module, stores the received image data and historical data, analyzes the received image data, and determines whether the height value of the Tears River is normal. The user interaction module uses a touch screen and control buttons to complete the information interaction between the user and the system. Users can view real-time data and historical records of the height of the river through the touch screen, and make system settings and parameter adjustments through the control buttons.

2. The tear secretion acquisition system according to claim 1, characterized in that, The image acquisition module includes: Camera positioning: Install multiple cameras at different angles along the River of Tears; Near-infrared light source arrangement: Install multiple near-infrared light sources around the camera; Lighting adjustment: Automatically adjusts the brightness and direction of the near-infrared light source according to changes in ambient light; Synchronous shooting: Through a synchronous control system, all cameras are coordinated to capture images of the tear river simultaneously within the same time period.

3. The tear secretion acquisition system according to claim 1, characterized in that, The dynamic tracking module includes: Motion sensor placement: Motion sensors are placed around the camera of the image acquisition module to capture motion changes within the tear river area; Preliminary image acquisition: The initial image of the tear river is obtained using the image acquisition module to determine the initial location and shape of the tear river; Image segmentation: The acquired tear river image is segmented using image recognition algorithms to extract the boundary and main features of the tear river; Motion detection: Motion sensors are used to capture motion within the tear river region and generate motion data; Path recognition: Combining motion data from motion sensors with image recognition algorithms to identify and track the flow path of the Tears River in real time; Image update: By comparing consecutive image frames, the changes in the shape and location of the tear river are tracked, and the tear river image is dynamically updated; Error correction: Correcting errors caused by noise or external interference during the tracking process.

4. The tear secretion acquisition system according to claim 1, characterized in that, The image processing module includes: Image preprocessing: The updated tear river image is processed using a denoising algorithm to eliminate random noise and background interference in the image, and sharp edges and discontinuities in the image are reduced through image smoothing techniques; Feature extraction: An edge detection algorithm is used to identify and extract edge features in the tear river image to determine the contour of the tear river. A key point detection algorithm is used to identify important feature points in the tear river image, including the upper and lower boundaries of the tear river and the distribution of tear fluid. Image enhancement: Using contrast enhancement technology, the brightness differences in different areas of the Tears River image are improved, and the colors of the Tears River image are adjusted; Image correction: Geometric correction is performed on the tear river image to eliminate the effects of camera angle and lens distortion, and the brightness is adjusted in different areas of the image using a brightness equalization algorithm; Image storage and transmission: The processed image data is compressed and sent to the data analysis module for further processing and analysis.

5. The tear secretion acquisition system according to claim 4, characterized in that, The image enhancement includes: Image contrast enhancement: Histogram equalization is performed on the acquired tear river image, and the gray values ​​of the original image are redistributed through equalization algorithm; Equalization effect verification: Visual verification and statistical analysis are performed on the equalized image; Color adjustment: Gamma correction is performed on the equalized tear river image, and the brightness of the image is adjusted through nonlinear transformation; Verification of color adjustment effect: Visual verification and brightness comparison analysis of the gamma-corrected image; Image fusion combines images that have undergone contrast enhancement and color adjustment, and further image processing techniques are used to highlight key features in the tear river image. Results storage and transmission: The enhanced tear river image is stored in the data storage unit, and the enhanced image data is transmitted to the data analysis module for processing and analysis through the data transmission module.

6. The tear secretion acquisition system according to claim 5, characterized in that, The image fusion includes: Wavelet transform of images: transforming each image after contrast enhancement and color adjustment and The low-frequency and high-frequency coefficients of the image are obtained by applying discrete wavelet transform respectively. Coefficient fusion, specifically including: Fusing low-frequency coefficients: By applying a weighted average or selecting the maximum value strategy to low-frequency coefficients, the basic structural information of the image is fused. Fusion of high-frequency coefficients: For each high-frequency coefficient ( A maximum value selection strategy is adopted to preserve image details and edge information; Inverse wavelet transform application: Performing inverse wavelet transform on the fused coefficients: Performing inverse wavelet transform on the fused low-frequency and high-frequency coefficients to generate the fused image. ； Image quality optimization: Apply further image enhancement techniques to the fused image.

7. The tear secretion acquisition system according to claim 1, characterized in that, The tear river height calculation module includes: Boundary recognition: Based on the tear river image extracted by the image processing module, Canny edge detection is used to identify the upper and lower boundaries of the tear river and calculate the gradient magnitude; Boundary marking: Determine the positions of the upper and lower boundaries below the center of the pupil in the tear river image, and mark these boundary points in the image to form the upper and lower boundary lines of the tear river; Boundary position extraction: Extract boundary position data from the calibrated upper and lower boundary lines, including the coordinates of the upper and lower boundaries; Height measurement: Calculate the vertical distance between the upper and lower boundaries to obtain the height value of the Tears River; Result correction: Correct the calculated height value to compensate for deviations introduced by image acquisition angle or image processing errors.

8. The tear secretion acquisition system according to claim 1, characterized in that, The data analysis module includes: Data reception: The data receiving unit receives tear river image data from the data transmission module. The received data includes image files and their related metadata. The received image data is initially checked, decoded, and converted in format. Data storage: The data storage unit saves the received image data to the system's database, including the current image data and its processing results, merges newly received image data with historical data, and updates the data storage records; Result interpretation: Extract the height value of the Tears River from the stored data and compare it with the preset normal range; The interpretation results are classified as "normal", "mildly abnormal", "moderately abnormal" or "severely abnormal". Report generation: Based on the interpretation results, an analysis report is generated, including the height of the tear river, interpretation conclusions, trend analysis, and recommendations.

9. The tear secretion acquisition system according to claim 1, characterized in that, The user interaction module includes: Real-time data display: The touch screen displays the height of the Tear River in real time, including the current measurement value, historical data charts and statistical information. The data display area on the touch screen will be dynamically updated according to the latest data transmitted by the data analysis module. Historical Record Viewing: The touchscreen provides access to historical records, allowing users to view past data records and analysis results. Users can also use the filtering tools on the touchscreen to select historical records for specific time periods or under specific conditions. System Settings: The touchscreen provides a system settings interface through which users can configure the system, including adjusting parameters and selecting display options. Modifications made by users in the settings interface can be confirmed by control buttons and saved to the system. Parameter adjustment: The control buttons allow users to adjust system parameters, including the threshold of the normal range of the tear river height and the data update frequency. After the user adjusts the parameters, the system will provide real-time feedback on the adjustment effect and display the corresponding confirmation information on the touch screen. User feedback: The touchscreen will provide a confirmation prompt after the user completes the operation. If an error occurs during the operation, the touchscreen will display the error message and solution suggestions. 10.10, A method for obtaining tear secretion volume, implemented by a tear secretion volume obtaining system according to any one of claims 1-9, characterized in that, Includes the following steps: S1, Image Acquisition: Acquire images of the tear stream of the subject being tested; S2, Dynamic Tracking: Utilizes motion sensors and image recognition algorithms to track the flow of the Tears River in real time and update the Tears River image in real time; S3, Image Processing: Process the updated tear river image; S4, Tear River Height Calculation: Calculate the height of the Tear River based on the boundary of the Tear River extracted by the image processing module; S5, Data Analysis: Receives image data transmitted by the data transmission module, stores the received image data and historical data, analyzes the received image data, and determines whether the height value of the Tears River is normal. S6, User Interaction: The system facilitates information exchange between the user and the system using a touchscreen and control buttons. Users can view real-time data and historical records of the river's height through the touchscreen and adjust system settings and parameters through the control buttons.

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