A method, system and device for identifying skin aging degree 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 effect, no patient data center, and inability to analyze patient data, and achieves a simple and easy detection and recognition process. Improve the efficiency of identification and detection, and the effect of scientific and rigorous evaluation methods

Active Publication Date: 2021-11-26
HOSPITAL OF DERMATOLOGY CHINESE ACAD OF MEDICAL SCI +1
View PDF10 Cites 0 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method, system and device for identifying skin aging degree based on artificial intelligence
  • A method, system and device for identifying skin aging degree based on artificial intelligence
  • A method, system and device for identifying skin aging degree based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] This embodiment discloses a method for identifying the degree of skin aging based on artificial intelligence, such as image 3 As shown, the collected images of the tester's left face, front face, and right face are input into the computer program for automatically evaluating the severity of skin aging. The program automatically detects whether the skin area has obvious roughness, obvious fine wrinkles, and pigmentation average condition, and then calculate the skin aging degree score according to the Global Score For Photoaging (Global Score For Photoaging) method to assist doctors to analyze the user's aging degree.

[0042] This embodiment is based on artificial intelligence technology, provides scientific, standardized, objective and stable evaluation criteria for the evaluation of skin aging degree through this method, and avoids judgment errors caused by doctors in the process of evaluating skin aging degree due to differences in clinical experience. It helps doct...

Embodiment 2

[0069] This embodiment discloses a skin aging degree recognition system based on artificial intelligence, and the recognition system uses the recognition method described in Embodiment 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, right side and front face image information of the face, and sends them to the image processing module for image processing. The image processing module collects the image information of the image acquisition module. Perform data processing such as detection, segmentation, and calculation on the image data, and output the skin aging evaluation results.

[0070] The image processing module includes a skin aging detection model, which is used to detect skin aging on face image data in various regions, including roughness, wrinkle and pigment detection.

[0071] The hardware implementation of the image acquisition module includes a light...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an artificial intelligence-based skin aging degree recognition method, system and device, belonging to the technical field of computer image processing. The invention discloses a method for automatically evaluating the degree of skin aging based on artificial intelligence technology. The method uses a computer to automatically read facial skin images uploaded by users, and then grades the aging degree of facial skin through an artificial intelligence skin aging degree evaluation model. The main method is to establish a skin aging detection model to detect whether there are obvious fine wrinkles, uneven pigmentation, and obvious roughness in the skin area. Then calculate the skin aging score according to the Global Score For Photoaging scoring method.

Description

technical field [0001] The present invention relates to the technical field of computer image processing, and more specifically relates to a method, system and device for identifying skin aging degree based on artificial intelligence. Background technique [0002] As we age, so does skin aging. Skin aging is a kind of skin function aging damage, which makes the skin's ability to protect the body and adjustment ability decline, so the skin cannot adapt to changes in the internal and external environment, and changes in the overall appearance of color, luster, shape, texture, etc. The main clinical It is manifested as obvious roughness of the skin, obvious fine wrinkles, or symptoms of uneven skin pigmentation. In recent years, people's quality of life has been continuously improved, and more and more people are paying more and more attention to their own skin conditions. Skin aging is the focus of most people's attention. Therefore, it is of great social significance to scie...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap