Skin condition quantitative evaluation method based on gray level co-occurrence matrix

A gray level co-occurrence matrix and skin state technology, applied in image data processing, instruments, character and pattern recognition, etc., can solve the problems of unsatisfactory measurement accuracy and sensitivity, slow detection speed, etc., achieve convenient evaluation methods, eliminate cumbersome and trouble, the effect of removing uncertainty and ambiguity

Inactive Publication Date: 2017-04-26
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
View PDF0 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to solve the problems of safety, unsatisfactory measur

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
  • Skin condition quantitative evaluation method based on gray level co-occurrence matrix
  • Skin condition quantitative evaluation method based on gray level co-occurrence matrix
  • Skin condition quantitative evaluation method based on gray level co-occurrence matrix

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0031] The invention provides a method for calculating the comprehensive evaluation index of skin state by preprocessing the skin image, calculating the gray level co-occurrence matrix (GLCM) and the mean value and standard deviation of the skin texture characteristic parameters in four directions, so as to realize the objective quantification of the skin texture state evaluation methods such as figure 1 The flow shown specifically includes the following steps:

[0032] Step 1. Experimental image acquisition;

[0033] The image sensor is used to collect skin images of people of different age groups. The light source is LED light, and the magnification is 50 times. The collected parts include the cheeks, forehead, eyes, and chin. The image size is 640×480.

[0034] Step 2, preprocessing the skin image;

[0035] The purpose of preprocessing is to eli...

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 a skin condition quantitative evaluation method based on a gray level co-occurrence matrix. The method mainly comprises the following steps: reading a human skin image acquired by a high-definition camera instrument; calculating the average gray level of the skin image; correcting hair pixels; calculating a gray level co-occurrence matrix; calculating the feature parameters of the skin image according to the gray level co-occurrence matrix, including angular second moment, contrast, entropy and correlation; calculating the comprehensive index of skin condition; and finally, comprehensively evaluating the skin image according to the calculation result. The gray level co-occurrence matrix based on the skin image and the feature parameters of the skin image can truly and objectively reflect the condition and physical properties of skin. The comprehensive index can be used to quantitatively analyze and evaluate the skin texture. The evaluation result is basically the same with the trend of effect based on biochemical detection. A quantitative, fast, scientific and convenient evaluation method is realized. The method can be used to quantitatively analyze and evaluate the state of skin.

Description

technical field [0001] The invention relates to a scientific evaluation method for skin texture. Specifically, it collects skin images through image sensors, preprocesses skin images, calculates skin texture characteristic parameters in four directions on the basis of gray level co-occurrence matrix (GLCM), calculates comprehensive indicators, and realizes objective skin texture status. Quantitative evaluation. Background technique [0002] The general public pays attention to health, and women pay attention to beauty effects, and all of these require scientific analysis and quantitative evaluation of the texture state. The surface state of the skin is determined by the texture characteristics of the skin. Every object with a physical form has its own unique texture. Different objects have different textures. Texture is an important feature for people to observe and recognize images. Scientific evaluation of skin texture has been an important means of image processing, bea...

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
IPC IPC(8): G06T7/00G06K9/46
CPCG06T7/0002G06T2207/10004G06T2207/30201G06V10/507
Inventor 陈天华王小艺许继平张欣卢宏煜
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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