Tongue picture image processing system for traditional Chinese medicine health-care physique detection

Abstract

The invention discloses a tongue picture image processing system for traditional Chinese medicine health-care physique detection. The tongue picture image processing system comprises a tongue picture image acquisition module, a self-adaptive color correction module, an image enhancement module and a database and analysis module, the acquisition module automatically adjusts illumination conditions through an ambient light sensor to ensure the consistency and stability of images; the adaptive color correction module adopts color space conversion and a standard color library to automatically correct color distortion in the collected tongue picture image; the image enhancement module enhances the tongue coating, crack and tooth mark key features of the tongue picture through sharpening and contrast adjustment, the database and analysis module analyzes through a standardized tongue picture data set and big data, the processing precision of the tongue picture image is effectively improved, and a more scientific and accurate auxiliary tool is provided for traditional Chinese medicine constitution detection.

Description

Technical Field

[0001] The invention relates to the technical field of traditional Chinese medicine health care detection, and in particular to a tongue image processing system for traditional Chinese medicine health care constitution detection. Background Art

[0002] Tongue diagnosis is one of the important means of clinical diagnosis in traditional Chinese medicine. By observing the color, shape, tongue coating and other characteristics of the tongue, it can accurately judge the internal health status of the human body. However, traditional tongue diagnosis relies on the doctor's experience and judgment, which is subjective and uncertain. In addition, due to different lighting conditions, angles and differences in image acquisition equipment, tongue images often have color distortion and blurred details in different environments, which affects the accurate judgment of tongue characteristics;

[0003] Although some existing tongue image acquisition systems can realize automatic image acquisition and analysis, they still have shortcomings in image correction and detail enhancement under complex lighting conditions. Especially under diverse ambient lighting, equipment configurations and complex tongue characteristics, the color consistency of tongue images and accurate capture of details cannot be guaranteed, which affects the accuracy of TCM constitution testing.

[0004] Based on this, a tongue image processing system for TCM health constitution detection is needed. Summary of the invention

[0005] To achieve the above object, the present invention provides the following scheme: a tongue image processing system for TCM health care constitution detection, comprising: a tongue image acquisition module, an adaptive color correction module, an image enhancement module and a database and analysis module;

[0006] The tongue image acquisition module is used to acquire tongue images under different light sources and shooting angles through a standardized camera device. The camera device has an automatic light adjustment function and can acquire images under multiple light source modes such as natural light, cold light, and warm light;

[0007] The adaptive color correction module is used to perform color correction on the collected tongue image, and the adaptive color correction module includes a color space conversion unit, a brightness contrast adjustment unit and a standard color reference unit; the color space conversion unit converts the original tongue image from the RGB color space to the HSV or LAB color space, the brightness contrast adjustment unit performs adaptive histogram equalization processing according to the brightness and contrast information in the image, and the standard color reference unit matches the corrected tongue image with a preset standard tongue color model to dynamically adjust the color value of the image;

[0008] The image enhancement module is used to further process the color-corrected tongue image in detail, including brightness enhancement, contrast optimization and color saturation adjustment, to enhance the key features of the tongue, such as the display effect of tongue coating, cracks, tooth marks and other areas; the image enhancement module processes the image through contrast adjustment and image sharpening algorithms to ensure the clear presentation of subtle tongue features;

[0009] The database and analysis module are used to store processed tongue image data, and perform feature extraction and health status analysis in combination with the TCM constitution diagnosis model. The database includes a standard tongue feature data set and an individual health trend data set. By comparing the user's tongue image with the standard tongue image in the database, automatic recognition and classification of tongue features are achieved, and finally a constitution test report and health recommendations are generated.

[0010] Further preferably, the tongue image acquisition module further includes an ambient light sensor, which can monitor the light intensity and color temperature in the shooting environment in real time, and automatically adjust the exposure parameters and white balance of the camera equipment to adapt to different light source environments, thereby ensuring that the collected tongue image has optimal lighting conditions and color consistency. The light intensity adjustment range of the ambient light sensor is 100 to 10,000 lux, and the color temperature adjustment range is 2,700 to 6,500 Kelvin.

[0011] Further preferably, the standard color reference unit in the adaptive color correction module includes a standard tongue color library, which stores multiple standard tongue color models according to different health status and physical types. The standard tongue color library includes at least 5,000 tongue color data of different physical conditions, and the model library is dynamically updated through a machine learning algorithm.

[0012] Further preferably, the image enhancement module includes a sharpening processing unit, which adjusts sharpening parameters according to edge features of the tongue coating and the tongue body in the tongue image. The sharpening processing unit identifies key feature areas of tongue cracks, tongue coating thickness and tooth marks in the tongue image, and locally enhances the feature areas.

[0013] Further preferably, the database and analysis module further include a long-term health trend analysis unit, which can combine tongue image data collected multiple times, analyze changes in individual tongue images over time, and identify potential health trends and physical changes. The analysis unit can generate a health change trend graph based on tongue image data within at least 3 months, and give personalized health care recommendations through physical data comparison.

[0014] Further preferably, the tongue image acquisition module supports multi-device collaborative work, connects multiple acquisition devices through a wireless network to work simultaneously, and performs multi-point tongue image acquisition in large-scale traditional Chinese medicine clinics or physical examination centers. Each device can complete the acquisition of tongue images with a synchronization accuracy of 10ms, ensuring the consistency of tongue image data for the same patient at multiple angles.

[0015] Further preferably, the image enhancement module further includes a feature recognition unit, which automatically detects abnormal features in the tongue image, including uneven thickness of the tongue coating, cracks on the tongue, tooth indentations and abnormal tongue color. The features are automatically identified by the feature recognition unit, and the detection results are compared with the standard healthy model.

[0016] Further preferably, the system also includes an environmental adaptability calibration module for correcting the influence of different external environmental conditions such as humidity, temperature and lighting on tongue image acquisition. The environmental adaptability calibration module keeps the image color deviation less than 3% under the condition that the ambient light intensity varies from 300 to 3000 lux.

[0017] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0018] The present invention adopts standardized image acquisition equipment and integrates an ambient light sensor, which can monitor and adjust lighting conditions in real time to ensure the consistency of images under different light sources and angles. The adaptive color correction module automatically corrects the color distortion of the tongue image through color space conversion and standard color library comparison to ensure that the tongue color in different environments is accurate. The image enhancement module sharpens the key details of the tongue image to make the subtle features of tongue cracks and tooth marks clearer, thereby improving the accuracy of TCM constitution diagnosis. In addition, the present invention combines the database and analysis module with the big data model to realize automatic recognition and classification of tongue image features. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0020] Figure 1 This is a system diagram of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] Example

[0024] like Figure 1 As shown, a tongue image processing system for TCM health care constitution detection in this embodiment is characterized by comprising a tongue image acquisition module, an adaptive color correction module, an image enhancement module and a database and analysis module

[0025] The tongue image acquisition module is used to acquire tongue images under different light sources and shooting angles through standardized camera equipment. The camera equipment has an automatic light adjustment function and can acquire images under multiple light source modes such as natural light, cold light, and warm light to ensure the stability and consistency of the acquired images. In addition, the tongue image acquisition module further includes an ambient light sensor, which can monitor the light intensity and color temperature in the shooting environment in real time, and automatically adjust the exposure parameters and white balance of the camera equipment to adapt to different light source environments to ensure that the acquired tongue images have the best lighting conditions and color consistency; through the monitoring of the ambient light sensor, the system can dynamically adjust the light conditions during image acquisition; for example, if it is detected that the light in the shooting environment is too strong, the ambient light sensor will automatically reduce the exposure to prevent overexposure from causing the image to be too bright or white in color; if it is detected that the light is weak, the device will automatically increase the exposure and brightness to prevent the tongue image from being too dark and affecting the display of details; the color difference problem caused by different ambient light sources can be significantly reduced through adaptive adjustment to ensure that the acquired images have consistent color and detail performance in different environments;

[0026] The adaptive color correction module is used to perform color correction on the collected tongue image, and the adaptive color correction module includes a color space conversion unit, a brightness contrast adjustment unit and a standard color reference unit; the color space conversion unit converts the original tongue image from the RGB color space to the HSV or LAB color space, the brightness contrast adjustment unit performs adaptive histogram equalization processing according to the brightness and contrast information in the image, and the standard color reference unit matches the corrected tongue image with a preset standard tongue color model to dynamically adjust the color value of the image; the standard color reference unit includes a standard tongue color library, which stores multiple standard tongue color models according to different health states and physical types, including at least 5,000 tongue color data of different physical constitutions, and dynamically updates the model in the color library through a machine learning algorithm to ensure that the tongue color of different patients can be accurately corrected and standardized;

[0027] With the reference of the standard color library, the system can automatically perform color correction according to the deviation between the actual color of the tongue image and the standard model. If the image of a patient appears too yellow due to yellowish light during the acquisition process, the system will adjust the image tone to the standard tongue color based on the normal tongue model of the standard color library, thereby avoiding color difference problems caused by lighting, equipment or other factors. In addition, the standard model library can be continuously updated and optimized through machine learning algorithms to improve the accuracy of correction and enhance adaptability to new types of tongue images. The image enhancement module is used to further process the image details of the color-corrected tongue image, including brightness enhancement, contrast optimization and color saturation adjustment, to enhance the key features of the tongue image, such as the display effect of tongue coating, cracks and tooth marks.

[0028] The image enhancement module further includes a sharpening processing unit, which can automatically adjust the sharpening parameters according to the edge features of the tongue coating and the tongue body in the tongue image to highlight key details; by identifying characteristic areas such as tongue cracks, tongue coating thickness and tooth marks in the tongue image, the sharpening processing unit locally enhances these areas to ensure that the details of the tongue image are clearly presented and enhance the accuracy of diagnosis;

[0029] The image enhancement module can make key tongue features more obvious by optimizing contrast and improving brightness. For patients with unclear tongue cracks or tooth marks, these subtle features can be more prominently displayed by improving the contrast of these areas. It is very important for syndrome differentiation and treatment in TCM diagnosis. Subtle changes in tongue images can often reflect the health status of patients. Through enhancement processing, doctors can observe these features more accurately, thereby improving the accuracy of diagnosis. The database and analysis module is used to store processed tongue image data, and combine the TCM constitution diagnosis model to perform feature extraction and health status analysis.

[0030] The database includes a standard tongue feature data set and an individual health trend data set. By comparing the user's tongue image with the standard tongue image in the database, the system can automatically identify and classify the tongue features, and finally generate a personalized physical examination report and health advice. The database and analysis module further includes a long-term health trend analysis unit, which can combine tongue image data collected multiple times to analyze the changes of individual tongue images over time and identify potential health trends and physical changes. The analysis unit generates a health change trend chart based on tongue data within at least 3 months, and gives personalized health care advice through physical data comparison, which is helpful for the user's long-term health management.

[0031] The long-term health trend analysis function can collect the patient's tongue data regularly and draw a trend chart of the change of tongue characteristics; if the thickness of a patient's tongue coating gradually deepens and is accompanied by color changes, the system can identify potential spleen and stomach weakness or dampness and heat problems through data analysis, prompting the patient to intervene or regulate early to avoid further development of the disease; the tongue image acquisition module also supports multi-device collaboration, and can connect multiple acquisition devices to work simultaneously through a wireless network, which is suitable for multi-point tongue image acquisition in large-scale traditional Chinese medicine clinics or physical examination centers; each device can complete the acquisition of tongue images with a synchronization accuracy of 10ms, ensuring the consistency of tongue image data of the same patient at multiple angles, thereby improving the accuracy of multi-angle diagnosis;

[0032] In a busy TCM clinic, multiple devices can synchronously collect patient tongue images, and doctors can view and analyze data in a unified manner in the background, thereby improving diagnostic efficiency and ensuring the consistency of tongue data collected from different angles, thereby enhancing the reliability of diagnostic results. The image enhancement module also includes a feature recognition unit, which automatically detects abnormal features in tongue images, such as uneven thickness of tongue coating, cracks on the tongue, tooth indentations, and abnormal tongue color. The feature recognition unit can automatically identify these features and compare the detection results with the standard health model to provide early health risk warnings and physical abnormality warnings, assisting doctors in making accurate diagnoses.

[0033] The feature recognition unit can efficiently identify abnormal features of the patient's tongue and provide early health risk warnings; if the patient's tongue has obvious cracks or tooth marks, the system will automatically mark these abnormal areas and remind the doctor that the patient may have physical problems such as weak spleen and stomach or insufficient qi and blood; the system also includes an environmental adaptability calibration module, which is used to correct the impact of different external environmental conditions such as humidity, temperature, and light on tongue image acquisition; the environmental adaptability calibration module can keep the image color deviation less than 3% under the condition of ambient light intensity ranging from 300 to 3,000 lux, ensuring that the system can operate normally in various complex environments and provide consistent and accurate tongue images;

[0034] The feature recognition unit can adapt to different environmental conditions to ensure the stability of tongue image acquisition. In a humid and low-temperature environment, the image quality of the tongue will be affected due to unstable lighting conditions. The environmental adaptability calibration module will automatically adjust the lighting and acquisition parameters of the device to reduce the impact of the external environment on image acquisition, so that high-quality tongue images can be obtained in different environments, ensuring the stability of the diagnostic results.

[0035] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0036] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A tongue image processing system for traditional Chinese medicine health constitution detection, characterized in that: include: Tongue image acquisition module, adaptive color correction module, image enhancement module and database and analysis module; The tongue image acquisition module is used to acquire tongue images under different light sources and shooting angles through a standardized camera device. The camera device has an automatic light adjustment function and can acquire images under multiple light source modes such as natural light, cold light, and warm light; The adaptive color correction module is used to perform color correction on the collected tongue image, and the adaptive color correction module includes a color space conversion unit, a brightness contrast adjustment unit and a standard color reference unit; The color space conversion unit converts the original tongue image from the RGB color space to the HSV or LAB color space, the brightness and contrast adjustment unit performs adaptive histogram equalization processing according to the brightness and contrast information in the image, and the standard color reference unit matches the corrected tongue image with a preset standard tongue color model to dynamically adjust the color value of the image; The image enhancement module is used to further process the color-corrected tongue image in detail, including brightness enhancement, contrast optimization and color saturation adjustment, to enhance the key features of the tongue, such as the display effect of tongue coating, cracks, tooth marks and other areas; the image enhancement module processes the image through contrast adjustment and image sharpening algorithms to ensure the clear presentation of subtle tongue features; The database and analysis module are used to store processed tongue image data, and perform feature extraction and health status analysis in combination with the TCM constitution diagnosis model. The database includes a standard tongue feature data set and an individual health trend data set. By comparing the user's tongue image with the standard tongue image in the database, automatic recognition and classification of tongue features are achieved, and finally a constitution test report and health recommendations are generated.

2. A tongue image processing system for TCM health care constitution detection according to claim 1, characterized in that: The tongue image acquisition module further includes an ambient light sensor, which can monitor the light intensity and color temperature in the shooting environment in real time, and automatically adjust the exposure parameters and white balance of the camera equipment to adapt to different light source environments, thereby ensuring that the collected tongue image has the best lighting conditions and color consistency. The light intensity adjustment range of the ambient light sensor is 100 to 10,000 lux, and the color temperature adjustment range is 2,700 to 6,500 Kelvin.

3. The tongue image processing system for TCM health care constitution detection according to claim 1 is characterized in that: The standard color reference unit in the adaptive color correction module includes a standard tongue color library, which stores multiple standard tongue color models according to different health status and physical types. The standard tongue color library includes at least 5,000 tongue color data of different physical types, and the model library is dynamically updated through a machine learning algorithm.

4. A tongue image processing system for TCM health care constitution detection according to claim 1, characterized in that: The image enhancement module includes a sharpening processing unit, which adjusts sharpening parameters according to the edge features of the tongue coating and the tongue body in the tongue image. The sharpening processing unit identifies key feature areas of tongue cracks, tongue coating thickness and tooth marks in the tongue image, and locally enhances the feature areas.

5. The tongue image processing system for TCM health care constitution detection according to claim 1 is characterized in that: The database and analysis module further includes a long-term health trend analysis unit, which can combine tongue image data collected multiple times to analyze changes in individual tongue images over time and identify potential health trends and physical changes. The analysis unit can generate a health change trend chart based on tongue image data within at least 3 months, and provide personalized health care advice through physical data comparison.

6. The tongue image processing system for TCM health care constitution detection according to claim 1 is characterized in that: The tongue image acquisition module supports multi-device collaboration, connects multiple acquisition devices through a wireless network to work simultaneously, and performs multi-point tongue image acquisition in large-scale traditional Chinese medicine clinics or physical examination centers. Each device can complete the acquisition of tongue images with a synchronization accuracy of 10ms, ensuring the consistency of tongue image data for the same patient at multiple angles.

7. The tongue image processing system for TCM health care constitution detection according to claim 1 is characterized in that: The image enhancement module further includes a feature recognition unit, which automatically detects abnormal features in the tongue image, including uneven thickness of the tongue coating, cracks on the tongue, tooth indentations and abnormal tongue color. The feature recognition unit automatically recognizes the features and compares the detection results with the standard healthy model.

8. The tongue image processing system for TCM health care constitution detection according to claim 1 is characterized in that: The system also includes an environmental adaptability calibration module for correcting the influence of different external environmental conditions such as humidity, temperature and lighting on tongue image acquisition. The environmental adaptability calibration module keeps the image color deviation less than 3% under the condition that the ambient light intensity varies from 300 to 3000 lux.

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