A skin roughness detection method and electronic equipment

Abstract

The present application discloses a skin roughness detection method and an electronic device, which are used to realize the skin roughness detection performed by a terminal device to obtain a detection result. The method is as follows: by extracting the texture depth, texture width, wide texture density and texture density from the skin to be detected, the machine learning model is used to obtain the detection result of the skin roughness, and a more accurate and intuitive detection of the skin roughness is obtained. result.

Description

Technical field [0001] Embodiments of the present application relate to the field of image processing technology, in particular to a skin roughness detection method and electronic devices. Background [0002] Due to the influence of age, diseases and external environment, the surface layer of human skin is easy to lead to the formation of peaks and valleys and show different depths and directions, resulting in a variety of skin textures. Skin roughness, as an important skin texture analysis method, can reflect the health of human body functions to a certain extent. [0003] Existing, generally professional testing equipment is used to detect and evaluate skin conditions by analyzing skin images. Professional testing equipment is sold at a high price, generally used by professional institutions, and is not suitable for the general public. Nowadays, with the improvement of mobile terminal imaging capabilities, it is possible to detect skin detection based on mobile terminals, so t...

AI Technical Summary

Problems solved by technology

However, there is currently no effective way to detect skin roughness that is suitable for mobile terminals

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