Image recognition-based facial skin analysis system

Abstract

The present invention discloses an image recognition-based facial skin analysis system. The image recognition-based facial analysis system is capable of conducting a series of evaluation on the condition of the skin to obtain an overall evaluation. The system mainly comprises a face detection and segmentation module, a whitening degree detection module, a roughness detection module, a stain amount detection module and a comprehensive judgment module. Firstly, a detection image is input to be subjected to front face detection, area location and segmentation by a classifier. Secondly, the segmented image is subjected to skin color brightness and ruddy condition analysis, wherein the roughness of a feature index quantification detection area is obtained based on a gray level co-occurrence matrix. Thirdly, the stain amount is analyzed based on the similar watershed method through calculating the sum of sectional areas. Finally, the comprehensive judgment is conducted according to all detection results. Based on the technical means, the application effect of a product is quantified, so that the quality of the product is controlled. The system has great economic value for cosmetic manufacturers. Meanwhile, the system brings more economic benefits.

Description

Technical field [0001] The invention relates to the field of image processing, in particular to the analysis, detection and evaluation of facial feature values. Background technique [0002] With the improvement of science and technology and the improvement of people's quality of life, the frequency of people taking pictures is gradually increasing. In addition, skin quality, as a mirror of the physical health of the human body, has attracted more and more attention. People are paying more and more attention to the beauty and care of facial skin, and they hope to evaluate their skin conditions conveniently and quickly. [0003] The current domestic human skin surface state evaluation methods generally use subjective visual judgment methods. Although this method is simple and intuitive, it also has drawbacks: First, the visual method is very subjective and lacks objective analysis. Different people have different judgments about the same piece of skin, and the same person will hav...

AI Technical Summary

Problems solved by technology

Second, the "reference standards" are different, and the differences in standards lead to errors in judgment

Third, subtle changes cannot be detected by the naked eye, and cannot be distinguished only by visual inspection

However, this method is extremely troublesome to operate, and only professional hospitals or beauty salons will use it, and it is not only time-consuming, but also greatly increases the cost

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