Tear secretion volume acquisition method and system

Abstract

The invention relates to the technical field of liquid collection, in particular to a tear secretion volume acquisition method and system, and the method comprises the steps: collecting a tear river image of a detected person, tracking the flow of a tear river in real time through a motion sensor and an image recognition algorithm, processing the collected tear river image, and calculating the height value of the tear river. The received image data is analyzed, whether the lacrimal river height value is normal or not is judged, a user checks real-time data and historical records of the lacrimal river height value through a touch screen, and system setting and parameter adjustment are carried out through a control button. According to the invention, a motion sensor and an advanced image recognition algorithm are combined, and the flow path of the lacrimal river can be recognized and tracked in real time. By means of the comprehensive application, the dynamic tracking process is more accurate, complex changes of the form and flow of the lacrimal river can be effectively handled, images are updated in real time, errors are corrected, the tracking precision and the response speed of the system are improved, and monitoring of the flow of the lacrimal river is more real-time and accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid collection, and in particular to a method and system for obtaining tear secretion amount. Background Art

[0002] With the development of science and technology, people are paying more and more attention to their own health. Eye health, as an important part of physical health, is receiving more and more attention. The secretion of tears is one of the important indicators reflecting eye health, and its changes can indicate a variety of eye diseases, such as dry eyes, keratitis, etc.

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

[0004] First, in the measurement of tear secretion, image acquisition usually relies on a single viewpoint or light source, which may cause the acquired tear river images to have information loss or inconsistency under different lighting conditions. These methods may still not provide sufficient details and accuracy when dealing with complex lighting environments or dynamic changes.

[0005] Second, the dynamic tracking in existing technologies usually relies on a single algorithm to identify and track the Tear River, which may not be able to fully cope with the complex flow and morphological changes of the Tear River. Traditional motion sensors and image recognition algorithms may have insufficient recognition accuracy, affecting the accuracy and real-time performance of the Tear River flow path.

[0006] Third, in terms of image processing and analysis, existing image fusion techniques are usually limited to simple enhancement techniques, which may not be able to fully highlight the key features and details in the image. Summary of the invention

[0007] Based on the above purpose, the present invention provides a tear secretion amount acquisition system.

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

[0009] The image acquisition module acquires the tear river image of the subject;

[0010] The dynamic tracking module uses motion sensors and image recognition algorithms to track the flow of the Tear River in real time and update the Tear 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 tear river height value 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 judgment unit. The data receiving unit is used to receive the image data transmitted by the data transmission module, the data storage unit is used to store the received image data and historical data, and the result judgment unit analyzes the received image data to judge whether the tear meniscus height value is normal;

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

[0015] Optionally, the image acquisition module includes:

[0016] Camera positioning: multiple cameras are installed at different angles of the Tear River;

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

[0018] Light condition adjustment: automatically adjust the brightness and direction of the near-infrared light source according to changes in ambient light;

[0019] Synchronous shooting: Through the synchronous control system, coordinate each camera to capture the tear river image at the same time.

[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 in the tear river area;

[0022] Preliminary image acquisition: using the image acquisition module to obtain the initial tear river image and determine the initial position and shape of the tear river;

[0023] Image segmentation: Segment the collected tear river images through image recognition algorithms to extract the boundaries and main features of the tear river;

[0024] Motion detection: Use motion sensors to capture motion in the Tear River area and generate motion data;

[0025] Path identification: Combine the motion data provided by the motion sensor with the image recognition algorithm to identify and track the flow path of the Tear River in real time;

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

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

[0028] Optionally, the image processing module includes:

[0029] Image preprocessing: Use denoising algorithms to process the updated Tear River images to eliminate random noise and background interference in the images, and use image smoothing technology to reduce sharp edges and discontinuities in the images;

[0030] Feature extraction: Use edge detection algorithm to identify and extract edge features in the tear river image, determine the outline of the tear river, and use key point detection algorithm to identify important feature points in the tear river image, including the upper and lower boundaries of the tear river and tear distribution;

[0031] Image enhancement: Use contrast enhancement technology to increase the brightness difference of different areas in the Tear River image and adjust the color of the Tear River image;

[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 of different areas in the image is adjusted 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: Perform histogram equalization on the collected tear river image, and redistribute the grayscale value of the original image through the equalization algorithm;

[0036] Verification of equalization effect: visual verification and statistical analysis of 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 effects: visual verification and brightness comparison analysis of gamma-corrected images;

[0039] Image fusion, fusing the images after contrast enhancement and color adjustment, and highlighting the key features in the tear river image through further image processing technology;

[0040] Result 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 through the data transmission module for processing and analysis.

[0041] Optionally, the image fusion includes:

[0042] Perform wavelet transform on the image: Apply discrete wavelet transform to each image I1(x,y) and I2(x,y) after contrast enhancement and color adjustment to obtain the low-frequency and high-frequency coefficients of the image;

[0043] Coefficient fusion, including:

[0044] Fusion of low-frequency coefficients: by applying weighted average or maximum value strategy to low-frequency coefficients to fuse the basic structural information of the image;

[0045] Fusion of high-frequency coefficients: A maximum value selection strategy is used for each high-frequency coefficient (LH, HL, HH) to retain image details and edge information;

[0046] Application of inverse wavelet transform: Inverse wavelet transform is performed on the fused coefficients: Inverse wavelet transform is performed on the fused low-frequency and high-frequency coefficients to generate the fused image I fused (x,y);

[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, the Canny edge detection is used to identify the upper and lower boundaries of the tear river and calculate the gradient amplitude;

[0050] Boundary calibration: determine the upper and lower boundary positions below the center of the pupil in the tear manifold image, and mark these boundary points in the image to form the upper and lower boundary lines of the tear manifold;

[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 of the River of Tears;

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

[0054] Optionally, the data analysis module includes:

[0055] Data reception: The data receiving unit receives the tear river image data from the data transmission module. The received data includes the image file and its related metadata. The received image data is preliminarily checked, decoded and format converted;

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

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

[0058] Classify the readings as “normal,” “mildly abnormal,” “moderately abnormal,” or “severely abnormal”;

[0059] Report generation: Generate an analysis report based on the interpretation results, including the tear river height value, interpretation conclusion, trend analysis and suggestions.

[0060] Optionally, the user interaction module includes:

[0061] Real-time data display: The touch screen displays the data of the Tear River height value 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 records viewing: The touch screen provides the function of accessing historical records. Users can choose to view past data records and analysis results, and use the filter tools on the touch screen to select historical records within a specific time period or under specific conditions for viewing;

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

[0064] Parameter adjustment: The control button allows the user 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] Operation feedback: The touch screen will provide a confirmation prompt after the user completes the operation. If an error occurs during the operation, the touch screen will display the error message and solution suggestions.

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

[0067] S1, image acquisition: collecting tear meniscus images of the subject;

[0068] S2, dynamic tracking: using motion sensors and image recognition algorithms to track the flow of the Tear River in real time and update the Tear River image in real time;

[0069] S3, image processing: processing the updated tear river image;

[0070] S4, calculation of tear river height: based on the tear river boundary extracted by the image processing module, the height value of the tear river is calculated;

[0071] S5, data analysis: including a data receiving unit, a data storage unit and a result judgment unit, wherein the data receiving unit is used to receive the image data transmitted by the data transmission module, the data storage unit is used to store the received image data and historical data, and the result judgment unit analyzes the received image data to judge whether the tear meniscus height value is normal;

[0072] S6, User Interaction: Use the touch screen and control buttons to complete the information interaction between the user and the system. The user can view the real-time data and historical records of the Tear River height value through the touch screen, and perform system settings and parameter adjustments through the control buttons.

[0073] Beneficial effects of the present invention:

[0074] The present invention, through the configuration of multiple cameras and near-infrared light sources, collects tear canal images from different angles and lighting conditions, greatly improving the integrity and consistency of the images. This multi-angle acquisition and lighting optimization technology ensures that clear and comprehensive tear canal 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, and helps to more accurately measure tear secretion.

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

[0076] The present invention uses optimized wavelet transform technology for image fusion, and through fine processing of low-frequency and high-frequency coefficients, significantly improves the overall quality and detail performance of the image. Wavelet transform fusion not only retains the basic structure of the image, but also enhances the details and edges, ensuring the clarity and prominent features of the Tear River image. In addition, combined with further image enhancement technology, the present invention optimizes the visual effect of the image and provides high-quality data support for the accurate measurement and analysis of the Tear River height. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

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

[0079] Figure 2 A schematic diagram of a method for obtaining tear secretion amount according to an embodiment of the present invention; DETAILED DESCRIPTION

[0080] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and 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 references to "one embodiment", "an embodiment", "an exemplary embodiment", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

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

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

[0084] The image acquisition module acquires tear river images of the subject, including a camera and a near-infrared light source to acquire tear river images from different angles and under different lighting conditions;

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

[0086] The image processing module processes the updated tear 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 tear river, and the image enhancement unit enhances the contrast and clarity of the image;

[0087] The tear river height calculation module calculates the tear river height value 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 judgment unit. The data receiving unit is used to receive the 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 judgment unit analyzes the received image data to judge whether the tear river height value is normal.

[0089] The user interaction module uses the touch screen and control buttons to complete the information interaction between the user and the system. The user can view the real-time data and historical records of the Tear River height value through the touch screen, and perform system settings and parameter adjustments through the control buttons.

[0090] The image acquisition module includes:

[0091] Camera positioning: Multiple cameras are installed at different angles of the Tear River to ensure that the entire area of ​​the Tear River can be covered;

[0092] Near-infrared light source arrangement: multiple near-infrared light sources are installed around the camera to ensure that the tear canal area can be evenly illuminated under different lighting conditions to reduce light interference;

[0093] Lighting condition adjustment: According to the changes in ambient light, the brightness and direction of the near-infrared light source are automatically adjusted to optimize the lighting conditions in the tear river area;

[0094] Synchronous shooting: Through the synchronous control system, coordinate each camera to capture the Tear River image at the same time to ensure the timeliness and consistency of the image.

[0095] The optimized arrangement of multi-angle cameras and near-infrared light sources ensures full coverage and uniform illumination of the Tear River area, thereby improving the clarity and accuracy of the image. These optimization measures improve the reliability and accuracy of image acquisition and provide 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 in the tear river area;

[0098] Preliminary image acquisition: using the image acquisition module to obtain the initial tear river image and determine the initial position and shape of the tear river;

[0099] Image segmentation: Segment the collected tear river images through image recognition algorithms to extract the boundaries and main features of the tear river;

[0100] Motion detection: Use motion sensors to capture motion in the Tear River area and generate motion data;

[0101] Path identification: Combine the motion data provided by the motion sensor with the image recognition algorithm to identify and track the flow path of the Tear River in real time;

[0102] Image update: By comparing consecutive image frames, the changes in the tear river morphology and position are tracked, and the tear river image is dynamically updated;

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

[0104] By placing motion sensors around the camera, the movement changes in the Tear River area were accurately captured. The initial image acquisition and image segmentation technology effectively extracted the initial position and main features of the Tear River, laying the foundation for subsequent dynamic tracking. The motion detection and path recognition functions combined sensor data and image recognition algorithms to achieve real-time tracking of the Tear River flow path. Image updates and error correction ensured the accuracy and reliability of the data.

[0105] The image processing module includes:

[0106] Image preprocessing: Use denoising algorithms to process the updated Tear River images, eliminate random noise and background interference in the images, and use image smoothing technology to reduce sharp edges and discontinuities in the images to improve image quality;

[0107] Feature extraction: Use edge detection algorithm to identify and extract edge features in the tear river image, determine the outline of the tear river, and use key point detection algorithm to identify important feature points in the tear river image, including the upper and lower boundaries of the tear river and tear distribution;

[0108] Image enhancement: Use contrast enhancement technology to increase the brightness difference of different areas in the Tear River image, make the image details clearer, adjust the color of the Tear River image, enhance the visual effect of the image, and make the 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, ensure the accuracy of the image, and use the brightness equalization algorithm to adjust the brightness of different areas in the image to make the image more uniform and natural;

[0110] Image storage and transmission: compress the processed image data to reduce the data volume, improve transmission efficiency, and send it to the data analysis module for further processing and analysis.

[0111] Through multi-stage processing, the quality and analysis accuracy of the Tear River image are improved, the image quality is improved, the key information in the image is enhanced, the visual effect of the image is improved, the features are made more prominent, the image accuracy is ensured, and the data transmission efficiency is optimized.

[0112] Image enhancement includes:

[0113] Image contrast enhancement: Perform histogram equalization on the collected tear river image, and redistribute the grayscale value of the original image through the equalization algorithm, which is expressed as:

[0114]

[0115] Among them, y is the gray value after equalization, L is the gray level (usually 256), p(i) is the number of pixels with gray value i, and N is the total number of pixels. is the cumulative distribution function of grayscale values ​​from 0 to x;

[0116] Verification of equalization effect: Visual verification and statistical analysis of the equalized image to ensure that the contrast enhancement effect is significant;

[0117] Color adjustment: Perform gamma correction on the equalized tear river image, and adjust the brightness of the image through nonlinear transformation to make the image details clearer, which is expressed as:

[0118] I′=I γ ;

[0119] Where I′ is the pixel value after gamma correction, I is the pixel value of the original image, and its value range is usually between 0 and 1. γ is the gamma value, and its commonly used value is between 0.5 and 2.5.

[0120] Color adjustment effect verification: Perform visual verification and brightness comparison analysis on the gamma-corrected image to ensure that the visual effect of the color-adjusted image is significantly improved;

[0121] Image fusion: fuse the images after contrast enhancement and color adjustment to ensure the best image details and visual effects. Through further image processing technology, the key features in the tear river image are highlighted to improve the overall image quality.

[0122] Result 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, and the enhanced image data is transmitted to the data analysis module through the data transmission module for processing and analysis.

[0123] Through contrast enhancement, color adjustment and image fusion, the visual effect and analysis accuracy of the Tear River image are significantly improved, making the details clearer, and gamma correction further improves the brightness and color performance of the image. Image fusion technology ensures the consistency and optimal state of the enhanced image in terms of details and visual effects.

[0124] Image fusion includes:

[0125] Wavelet transform of the image: Apply discrete wavelet transform (DWT) to each image I1(x, y) and I2(x, y) after contrast enhancement and color adjustment, and obtain the low-frequency and high-frequency coefficients of the image, expressed as:

[0126] DWT(I i (x,y))={LL i ,LH i ,HL i ,HH i};

[0127] Among them, LL is the low-frequency coefficient, LH, HL and HH are the horizontal, vertical and diagonal high-frequency coefficients respectively;

[0128] Coefficient fusion, including:

[0129] Fusion of low-frequency coefficients: By applying weighted average or selecting the maximum value strategy to the low-frequency coefficients, the basic structural information of the image is fused, which is expressed as:

[0130]

[0131] Among them, α is the weighting coefficient;

[0132] Fusion of high-frequency coefficients: A maximum value selection strategy is used for each high-frequency coefficient (LH, HL, HH) to retain the details and edge information of the image, expressed as:

[0133] Coeff fused =max(Coeff1,Coeff2);

[0134] Among them, Coeff represents different types of high-frequency coefficients;

[0135] Application of inverse wavelet transform: Inverse wavelet transform is performed on the fused coefficients: Inverse wavelet transform (IDWT) is performed on the fused low-frequency and high-frequency coefficients to generate the fused image I fused (x,y), expressed as:

[0136] I fused (x,y)=IDWT(LL fused ,LH fused ,HL fused ,HH fused );

[0137] Among them, IDWT is the inverse discrete wavelet transform operation;

[0138] Image quality optimization: Further image enhancement techniques (such as local contrast enhancement or noise suppression) are applied to the fused image to further optimize the image quality and highlight the features in the tear river image, which is expressed as:

[0139] I final (x,y)=Enhance(I fused (x,y));

[0140] Among them, Enhance represents the image quality optimization technology;

[0141] Through the comprehensive processing of discrete wavelet transform, coefficient fusion and inverse wavelet transform, the overall quality and detail of the image have been significantly improved. Discrete wavelet transform decomposes the image into low-frequency and high-frequency coefficients, respectively processing the basic structure and detail information of the image, making the details and edges clearer. The fusion of low-frequency coefficients retains the main structure of the image, while the fusion of high-frequency coefficients enhances the details and edges of the image. Inverse wavelet transform re-synthesizes these fused coefficients into the final image, and optimizes the visual effect through further image enhancement technology, thus ensuring the clarity and prominent features of the Tear River image, providing high-quality data for accurate analysis and measurement.

[0142] The Tear River height calculation module includes:

[0143] Boundary recognition: Based on the tear river image extracted by the image processing module, the Canny edge detection is used to identify the upper and lower boundaries of the tear river, and the gradient amplitude is calculated, which is expressed as:

[0144]

[0145] in, and are the gradients of the image in the x and y directions respectively;

[0146] Boundary calibration: determine the upper and lower boundary positions below the center of the pupil in the tear manifold image, and mark these boundary points in the image to form the upper and lower boundary lines of the tear manifold;

[0147] Boundary position extraction: Extract boundary position data from the calibrated upper and lower boundary lines, including the coordinates of the upper and lower boundaries;

[0148] Height measurement: Calculate the vertical distance between the upper and lower boundaries to obtain the height of the River of Tears;

[0149] Result correction: Correct the calculated height value to compensate for the deviation introduced by the image acquisition angle or image processing error to ensure the accuracy of the height value.

[0150] Through the comprehensive processing of boundary recognition, boundary calibration, boundary position extraction, height measurement and result correction, the calculation process of tear meniscus height can accurately measure the height value of tear meniscus, ensure the accurate measurement of tear meniscus height, and provide reliable data support for the evaluation of tear secretion.

[0151] Data analysis modules include:

[0152] Data reception: The data receiving unit receives the tear river image data from the data transmission module. The received data includes the image file and its related metadata. The received image data is preliminarily checked to ensure the integrity and correctness of the data, and decoded and converted into a format.

[0153] Data storage: The data storage unit saves the received image data into the system's database, including the current image data and its processing results, merges the newly received image data with the historical data, and updates the data storage records for trend analysis and comparison;

[0154] Result interpretation: Extract the tear meniscus height value from the stored data and compare it with the preset normal range, expressed as:

[0155]

[0156] Among them, H is the currently calculated tear river height value, H min and H max are the lower and upper limits of the normal range;

[0157] Classify the readings as “normal,” “mildly abnormal,” “moderately abnormal,” or “severely abnormal”;

[0158] Report generation: Generate an analysis report based on the interpretation results, including tear meniscus height value, interpretation conclusion, trend analysis and suggestions for subsequent medical decision-making.

[0159] The user interaction module includes:

[0160] Real-time data display: The touch screen displays the data of the Tear River height value 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 to ensure that users obtain the latest Tear River height information;

[0161] Historical records viewing: The touch screen provides the function of accessing historical records. Users can choose to view past data records and analysis results, and use the filter tools on the touch screen to select historical records within a specific time period or under specific conditions for viewing;

[0162] System settings: The touch screen provides a system settings interface, through which users can configure the system, including adjusting parameters and selecting display options. Changes made by users in the settings interface can be confirmed by control buttons, and the settings are saved to the system;

[0163] Parameter adjustment: The control button allows the user 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;

[0164] Operation feedback: The touch screen will provide confirmation prompts after the user completes the operation to ensure the accuracy of the operation; if an error occurs during the operation, the touch screen will display error information and solution suggestions to help the user correct the operation.

[0165] Comprehensive information display and system setting functions are provided through the touch screen and control buttons, which greatly improves the user experience and operational convenience, ensuring that users can use the system efficiently and accurately, and make effective adjustments and decisions.

[0166] like Figure 2 As shown, a method for obtaining tear secretion amount is implemented by the above-mentioned tear secretion amount obtaining system, comprising the following steps:

[0167] S1, image acquisition: acquiring tear river images of the subject, including acquiring tear river images from different angles using a camera and a near-infrared light source, and acquiring tear river images under different lighting conditions;

[0168] S2, dynamic tracking: using motion sensors and image recognition algorithms to track the flow of the Tear River in real time, identify and track the flow path of the Tear River, and update the Tear River image in real time;

[0169] S3, image processing: processing the updated tear 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 tear river, and the image enhancement unit enhances the contrast and clarity of the image;

[0170] S4, tear mantle height calculation: based on the tear mantle boundary extracted by the image processing module, the tear mantle height value is calculated. The tear mantle 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 mantle below the center of the pupil. The height calculation unit calculates the tear mantle height value.

[0171] S5, data analysis: including a data receiving unit, a data storage unit and a result judgment unit, the data receiving unit is used to receive the image data transmitted by the data transmission module, the data storage unit is used to store the received image data and historical data, and the result judgment unit analyzes the received image data to judge whether the tear river height value is normal;

[0172] S6, User Interaction: Use the touch screen and control buttons to complete the information interaction between the user and the system. The user can view the real-time data and historical records of the Tear River height value through the touch screen, and use the control buttons to set the system and adjust parameters.

[0173] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0174] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

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

2. A tear secretion acquisition system according to claim 1, characterized in that: The image acquisition module comprises: Camera positioning: multiple cameras are installed at different angles of the Tear River; Near-infrared light source arrangement: install multiple near-infrared light sources around the camera; Light condition adjustment: automatically adjust the brightness and direction of the near-infrared light source according to changes in ambient light; Synchronous shooting: Through the synchronous control system, coordinate each camera to capture the tear river image at the same time.

3. A 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 in the tear river area; Preliminary image acquisition: using the image acquisition module to obtain the initial tear river image and determine the initial position and shape of the tear river; Image segmentation: Segment the collected tear river images through image recognition algorithms to extract the boundaries and main features of the tear river; Motion detection: Use motion sensors to capture motion in the Tear River area and generate motion data; Path identification: Combine the motion data provided by the motion sensor with the image recognition algorithm to identify and track the flow path of the Tear River in real time; Image update: By comparing consecutive image frames, the changes in the tear river's shape and position are tracked, and the tear river image is dynamically updated; Error correction: Correct errors caused by noise or external interference during the tracking process.

4. A tear secretion acquisition system according to claim 1, characterized in that: The image processing module comprises: Image preprocessing: Use denoising algorithms to process the updated Tear River images to eliminate random noise and background interference in the images, and use image smoothing technology to reduce sharp edges and discontinuities in the images; Feature extraction: Use edge detection algorithm to identify and extract edge features in the tear river image, determine the outline of the tear river, and use key point detection algorithm to identify important feature points in the tear river image, including the upper and lower boundaries of the tear river and tear distribution; Image enhancement: Use contrast enhancement technology to increase the brightness difference of different areas in the Tear River image and adjust the color of the Tear River image; Image correction: geometric correction is performed on the tear river image to eliminate the effects of camera angle and lens distortion, and the brightness of different areas in the image is adjusted 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. A tear secretion acquisition system according to claim 4, characterized in that: The image enhancement includes: Image contrast enhancement: Perform histogram equalization on the collected tear river image, and redistribute the grayscale value of the original image through the equalization algorithm; Verification of equalization effect: visual verification and statistical analysis of 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 effects: visual verification and brightness comparison analysis of gamma-corrected images; Image fusion, fusing the images after contrast enhancement and color adjustment, and highlighting the key features in the tear river image through further image processing technology; Result 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 through the data transmission module for processing and analysis.

6. A tear secretion acquisition system according to claim 5, characterized in that: The image fusion comprises: Perform wavelet transform on the image: Apply discrete wavelet transform to each image I1(x,y) and I2(x,y) after contrast enhancement and color adjustment to obtain the low-frequency and high-frequency coefficients of the image; Coefficient fusion, including: Fusion of low-frequency coefficients: by applying weighted average or maximum value strategy to low-frequency coefficients to fuse the basic structural information of the image; Fusion of high-frequency coefficients: A maximum value selection strategy is used for each high-frequency coefficient (LH, HL, HH) to retain image details and edge information; Application of inverse wavelet transform: Inverse wavelet transform is performed on the fused coefficients: Inverse wavelet transform is performed on the fused low-frequency and high-frequency coefficients to generate the fused image I fused (x,y); 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, the Canny edge detection is used to identify the upper and lower boundaries of the tear river and calculate the gradient amplitude; Boundary calibration: determine the upper and lower boundary positions below the center of the pupil in the tear manifold image, and mark these boundary points in the image to form the upper and lower boundary lines of the tear manifold; 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 of the River of Tears; Result correction: Correct the calculated height value to compensate for the deviation introduced by the image acquisition angle or image processing error.

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 the tear river image data from the data transmission module. The received data includes the image file and its related metadata. The received image data is preliminarily checked, decoded and format converted; Data storage: The data storage unit saves the received image data into the system's database, including the current image data and its processing results, merges the newly received image data with the historical data, and updates the data storage record; Result interpretation: Extract the tear meniscus height value from the stored data and compare it with the preset normal range; Classify the readings as "normal", "mildly abnormal", "moderately abnormal", or "severely abnormal"; Report generation: Generate an analysis report based on the interpretation results, including the tear river height value, interpretation conclusion, trend analysis and suggestions.

9. The tear secretion amount acquisition system according to claim 1, characterized in that: The user interaction module comprises: Real-time data display: The touch screen displays the data of the Tear River height value 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 records viewing: The touch screen provides the function of accessing historical records. Users can choose to view past data records and analysis results, and use the filter tools on the touch screen to select historical records within a specific time period or under specific conditions for viewing; System settings: The touch screen provides a system settings interface, through which users can configure the system, including adjusting parameters and selecting display options. Changes made by users in the settings interface can be confirmed by control buttons, and the settings are saved to the system; Parameter adjustment: The control button allows the user 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; Operation feedback: The touch screen will provide a confirmation prompt after the user completes the operation. If an error occurs during the operation, the touch screen will display the error message and solution suggestions.

10. A method for obtaining tear secretion volume, implemented by a tear secretion volume obtaining system according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1, image acquisition: collecting tear meniscus images of the subject; S2, dynamic tracking: using motion sensors and image recognition algorithms to track the flow of the Tear River in real time and update the Tear River image in real time; S3, image processing: processing the updated tear river image; S4, calculation of tear river height: based on the tear river boundary extracted by the image processing module, the height value of the tear river is calculated; S5, data analysis: receiving the image data transmitted by the data transmission module, storing the received image data and historical data, and analyzing the received image data to determine whether the tear river height value is normal; S6, User Interaction: Use the touch screen and control buttons to complete the information interaction between the user and the system. The user can view the real-time data and historical records of the Tear River height value through the touch screen, and perform system settings and parameter adjustments through the control buttons.

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