Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Chinese facial complexion recognition method based on color modeling

A recognition method and complexion technology, applied in the field of medical image processing, can solve problems such as interference from non-objective factors, blurred face-to-face diagnosis in traditional Chinese medicine, etc.

Active Publication Date: 2017-03-01
BEIJING UNIV OF TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problem of interference of non-objective factors in the process of diagnosis and treatment of traditional Chinese medicine, and solve the problem of ambiguity existing in face-to-face diagnosis of traditional Chinese medicine. Calculation method of fuzzy membership degree based on color modeling, providing quantitative basis for complexion recognition in traditional Chinese medicine

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
  • Chinese facial complexion recognition method based on color modeling
  • Chinese facial complexion recognition method based on color modeling
  • Chinese facial complexion recognition method based on color modeling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0084] According to the above description, the following is a specific implementation process, but the scope of protection of this patent is not limited to this implementation process, the flow chart is as attached figure 1 shown. The specific implementation process is as follows: face image collection

[0085] What the present invention adopts is the acquisition environment of the Tongue Image Instrument of SIPL Laboratory of Beijing University of Technology:

[0086] (1) Select the standard light source D65 representing daylight recommended by the International Commission on Illumination (CIE);

[0087] (2) The color rendering index is 84-95, and the color temperature is 6500K;

[0088] (3) The geometric conditions of the lighting source are arranged according to the 45 / 0 (illumination / observation) recommended by CIE;

[0089] (4) The color depth of the image acquisition device is 24bit, and the white balance is daylight type.

[0090] The faces of the samples we collect...

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

A Chinese medicine complexion recognition method based on color modeling comprises the following steps: first collecting multiple pieces of human face images, then dividing each human face image into multiple skin blocks in a m*n size, forming a dataset by the skin blocks (all in four classes), dividing each dataset into a training sample set and a classic sample set, calculating the color feature vector of each skin block in the training sample set and the classic sample set, and respectively calculating the class center and the biggest radius of four classes of samples in each classic sample set; and through carrying out modeling on the modeling feature vectors nu of all classes of classic complexions, calculating the maximum value of the comprehensive deformation degree alpha of all classes of classic sample models and the maximum value of the similarity degree beta of the models, calculating the relative distance between each training sample and each class center in each classic sample set, calculating the class attribution factor lambda_s of each sample in each training sample set, calculating the fuzzy affiliation degree of each sample in each training sample set with the corresponding affiliated class, training a fuzzy support vector machine, and utilizing the well trained fuzzy support vector machine to carry out Chinese medicine complexion recognition.

Description

technical field [0001] The invention belongs to the field of medical image processing, which combines computer technology, image processing technology, pattern recognition and other technologies to realize the automatic extraction of complexion features in traditional Chinese medicine and provide the recognition result of facial complexion. This process automatically analyzes the input human face image, uses the fuzzy support vector machine to recognize the complexion, and finally judges the facial complexion of the input image. Background technique [0002] Traditional Chinese medicine believes that the human body is an organic whole, and the face is like a mirror reflecting the physiology and pathology of the human body. Looking at the changes in the facial features can directly diagnose the diseases of the viscera. According to the theory of traditional Chinese medicine, there are several classifications of human face complexion: blue, red, yellow, white, black and normal...

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): G06K9/62
Inventor 卓力张菁杨云聪蔡轶珩张新峰
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com