Ear image feature extraction-based method corresponding to human body constitution

Abstract

The invention relates to the field of ear image feature extraction, and provides a novel method based on ear image feature extraction and corresponding to a human body constitution. The method aims at evaluating the health state of an individual by analyzing ear image characteristics, and providing personalized health management suggestions according to the health state. According to the method, key features are extracted from the auricle image by using an image processing technology, and are combined with the traditional Chinese medicine constitution theory, so that the human health condition is effectively evaluated. In addition, the invention also discusses the application value of ear image characteristics in traditional Chinese medicine diagnosis, and opens up a new path for the combination of traditional medicine and modern science and technology.

Description

Technical Field

[0001] The present invention relates to the field of ear image feature extraction, and proposes a new method based on ear image feature extraction and human body constitution correspondence. The method aims to evaluate the health status of an individual by analyzing ear image features, and provide personalized health management suggestions accordingly. The present invention uses image processing technology to extract key features from auricle images, and combines them with the theory of traditional Chinese medicine constitution to achieve an effective assessment of human health status. In addition, the present invention also explores the application value of ear image features in traditional Chinese medicine diagnosis, opening up a new path for the combination of traditional medicine and modern technology. Background Art

[0002] Data sources: existing books and standards of the China Association of Traditional Chinese Medicine.

[0003] Related technologies: HSV color space, Fourier transform, binary array, and Hough transform are all mature technical methods. References:

[0004] The book "Old Chinese Medicine Practitioners Teaches You How to Self-Examine and Diagnose Your Face, Ears, Hands and Feet" and the standard of the Chinese Association of Traditional Chinese Medicine "Classification and Determination of Chinese Medicine Constitution".

[0005] The key is how to analyze the characteristics of the ears and match them with the human constitution, evaluate the individual's health status, and provide personalized health management recommendations based on this. Summary of the invention

[0006] At present, as an emerging technology, the correspondence between ear image features and human physique has certain potential, but it still faces many challenges and shortcomings in practical applications. First, the data set is limited and the sample size is insufficient. Compared with fingerprint and iris recognition, the data set of auricle images is relatively small, which limits the effect of algorithm training and the generalization ability of the model. Secondly, the existing ear image database may not fully cover the influence of factors such as different races, ages, and genders, resulting in poor performance of the model in certain specific groups. In addition, changes in lighting conditions will affect the quality of auricle images, which in turn affects the accuracy of feature extraction; when hair, glasses or other objects block part of the auricle, it may also cause feature extraction failure or misjudgment. In addition, in terms of user experience, auricle recognition may not be as convenient and fast as fingerprint or facial recognition, especially when a specific angle and distance are required when collecting images. Finally, there is no unified mapping table for the correspondence between ear image features and human physique.

[0007] The present invention has multiple advantages such as contactless, instant feedback, convenience, low cost, repeatability, early warning and personalized health management: contactless means that the entire process does not require physical contact, reducing intrusion and discomfort to the individual; using image processing and pattern recognition technology, results can be obtained quickly, providing doctors and patients with timely health information feedback; convenience is reflected in the fact that only a clear photo is needed to start the analysis, which is particularly convenient in telemedicine or home self-monitoring; a reliable technical platform has been established, and the cost of each ear image analysis is relatively low, and only basic equipment is required to complete it; since the analysis is based on digital images, measurements can be easily repeated, which helps to track changes in health status; in addition, the technology has the potential to detect signs of certain health problems before symptoms appear, thereby achieving early intervention; ultimately, based on the changing trends of individual ear image characteristics, personalized health management recommendations are provided to help users better maintain their health.

[0008] The system includes: (1) Encapsulated ear image feature module: This module encapsulates the features extracted from ear images and can be easily called by external parties. (2) Auricle background segmentation module: This module is used to segment the auricle from the original image containing the auricle and the background. First, the image is subjected to histogram equalization to enhance the image contrast, and then it is processed using multiple filters, including Gaussian filtering, median filtering, mean filtering, and bandpass filtering. The image is then binarized and the above binarized images are fused to obtain the final binary array mask (1 represents the auricle and 0 represents the background). (3) Auricle color recognition module: This module is used to analyze the color of the auricle. The color of the auricle is counted using the HSV color space, and the most common color value is selected as the recognition result. (4) Earlobe wrinkle recognition module: This module contains functions for analyzing left and right ear images, especially for detecting whether there are wrinkles in the earlobe area. It reads images, pre-processes images (grayscale, median filtering, edge detection), detects line segments, and determines whether there are wrinkles based on the slope of the line segments. (5) Ear image feature and human physique mapping module: This module aims to match ear image features with human physique. Through the ear image feature and human physique mapping table 1, the ear image features are matched with the physique type, and a unified fusion algorithm is used to determine the human physique, and finally personalized suggestions for food, clothing, housing and transportation are given. For details, please refer to the system architecture of ear image feature extraction and human body constitution correspondence Figure 1 . Illustration of the process of extracting ear image features and corresponding to human body constitution Figure 2 . Table 1: Mapping between ear image characteristics and human constitution. Mapping table between ear characteristics and human constitution Table 1 DETAILED DESCRIPTION

[0009] Step one: Integrate the entire ear image detection system into the company's health management system.

[0010] Step 2: Receive the left and right ear images uploaded by the front end.

[0011] Step 3: Determine the colors of the left and right ear pictures respectively.

[0012] Step 4: Determine whether there are creases on the earlobes of the left and right ears.

[0013] Step 5: Query the corresponding physique and description of all ear image features obtained in steps 3 and 4 according to the feature table.

[0014] Step 6: Feedback the query results of step 5 to the front end. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is the system architecture for extracting ear image features and corresponding them to human physique.

[0016] Figure 2 It is a schematic diagram of the process of extracting ear image features and corresponding to human physique.

[0017] Table 1: Mapping between ear image characteristics and human constitution.

Claims

1. Using image processing technology, key features are extracted from auricle images and combined with the theory of traditional Chinese medicine constitution to realize a method for effectively evaluating human health status.

2. Table showing the correlation between ear image features extracted using image processing technology, individual health status, possible TCM constitution, and health management recommendations (Table 1).

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