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Skin aging degree identification method, system and device based on artificial intelligence

A skin aging and artificial intelligence technology, which is applied in the field of skin aging degree recognition based on artificial intelligence, can solve the problems of poor recognition and detection results, no patient data center, and inability to analyze patient data. Improve the efficiency of identification and detection, and the effect of scientific and rigorous evaluation methods

Active Publication Date: 2021-07-23
HOSPITAL OF DERMATOLOGY CHINESE ACAD OF MEDICAL SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This solution does not provide a standardized image acquisition solution. It uses the traditional image processing method to directly process facial skin images based on the image characteristics of wrinkles, using image grayscale, Gaussian convolution, Hessian matrix algorithm and other calculation methods, and the detection is accurate. The accuracy cannot be guaranteed, the recognition and detection effect is not good, and the program has not established a patient data center, so the patient data cannot be analyzed

Method used

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  • Skin aging degree identification method, system and device based on artificial intelligence
  • Skin aging degree identification method, system and device based on artificial intelligence
  • Skin aging degree identification method, system and device based on artificial intelligence

Examples

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Embodiment 1

[0041] This example discloses an aging-based degree identification method based on artificial intelligence, such as image 3 As shown, the left face, front face, and right face image of the collected tester are input to the computer, automatically evaluate the severity of the skin aging. The program automatically detects whether the skin area is obviously rough, obvious fine wrinkles, the pigment is not All of the case, then calculate the degree of skin aging score based on the global score forphotoaging method, assist the doctor to analyze the degree of aging of the user.

[0042] This embodiment is based on artificial intelligence technology, and the evaluation of skin aging is provided for scientific, standardized, objective, stable evaluation criteria, to avoid judgment errors in the process of assessing the aging of skin aging due to different degrees of clinical experience. Helping doctors more accurately and objective assessment of skin aging, and can effectively track the d...

Embodiment 2

[0069] This example discloses a skin aging degree identification system based on artificial intelligence, the identification system uses the identification method described in Example 1, such as figure 2 As shown, the system includes an image acquisition module and an image processing module, the image acquisition module collects the left side of the face, the right side and the front face image information, transmitted to the image processing module for image processing, the image processing module collects image acquisition module The image data is detected, split, calculated, and other data processing, outputting the skin aging evaluation results.

[0070] The image processing module includes a skin aging detection model for skin aging detection for human face image data of each region, including roughness, wrinkles and pigment detection.

[0071] The hardware implementation of the image acquisition module includes a light source unit, a filter unit, an acquisition unit, and a ...

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Abstract

The invention discloses a skin aging degree identification method, system and device based on artificial intelligence, and belongs to the technical field of computer image processing. The invention discloses a method for automatically evaluating the skin aging degree based on an artificial intelligence technology, and the method comprises the steps of automatically reading a facial skin image uploaded by a user through a computer, and then carrying out the grading of the aging degree of the facial skin through an artificial intelligence skin aging degree evaluation model, wherein the main mode is that whether obvious fine wrinkles exist in a skin area or not, whether uneven pigments exist or not and whether obvious roughness exists or not are detected by establishing a skin aging degree detection model; then, calculating the skin aging degree score according to a Global Score For Photoagging scoring method.

Description

Technical field [0001] The present invention relates to the field of computer image processing, and more particularly to a degree, system, and apparatus based on artificial intelligence. Background technique [0002] As the age is growing, the skin aging is also coming. Skin aging is a skin functional aging damage, which reduces the protection of the skin on the body's protective capacity, regulatory ability, etc., so the skin does not adapt to changes in internal and external environments, color, color, shape, texture, etc., the overall situation of appearance, main clinical practice The skin has a significant rough, obvious fine wrinkles or symptoms of skin pigment. In recent years, people have continuously improved, and more and more people have become more concerned about their own skin, and the skin aging is the focus of most people, so the scientific standard accurate assessment of skin aging has a major society. significance. [0003] At present, in clinical practice, diff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/187G06N3/04G06N3/08
CPCG06T7/0002G06T7/11G06T7/187G06N3/08G06T2207/30088G06N3/045
Inventor 林彤杨寅葛一平郭丽芳郑慧颖韩童童
Owner HOSPITAL OF DERMATOLOGY CHINESE ACAD OF MEDICAL SCI
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