Face skin detection method based on artificial neural network

Abstract

The invention relates to the technical field image processing, and discloses a face skin detection method based on an artificial neural network. Artificial neural network technique and the image processing technology are combined, and an artificial neural network prediction model which is completed in training of face skin detection is used to predict skin of a face image to be detected. The accuracy of skin detection can be ensured, and the skin detection result of a face image can be quickly obtained. Shooting multiple face images is not needed, the complexity and professional degree for preparing work are significantly reduced, and the convenience of skin detection and the user experience are enhanced. In addition, the method can be directly applied to mobile terminals such as smart phones, cameras of mobile terminals, microprocessors and a cloud computing platform in wireless communication with the mobile terminals are used to achieve detection at anytime and anywhere. Professional guidance for purchasing cosmetic skin care products can be provided to users, and extra professional hardware equipment is not needed, and zero cost detection is achieved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a human face and skin quality detection method based on an artificial neural network. Background technique [0002] Skin quality testing is a scientific and authoritative test for skin quality for the purpose of protecting human skin (such as facial skin) and correctly selecting suitable skin care products. There are many existing methods for skin quality detection, including instruments for identifying skin properties, and the simplest method of observation and identification. Generally speaking, common problematic skin is easy to observe and judge, but other types of skin need the help of instruments identification. [0003] The skin quality tester is a mainstream instrument for detecting skin quality. It is mainly used in the fields of beauty and medical treatment. It has gone through four generations of development: the first generation uses an ordinary magn...

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Problems solved by technology

[0004] Although the above-mentioned professional skin quality detector can accurately and authoritatively obtain the skin quality status and conduct scientific evaluation, it also has the following disadvantages: (1) In the process of skin quality detection, most of them rely solely on image processing technology to obtain skin quality. Therefore, in order to ensure a high detection accuracy, it is necessary to take multiple face pictures under the illumination of multiple light sources, which makes the preparation work more arduous and professional, which in turn leads to inconvenient detection process and poor user experience; ( 2) Additional professional hardware equipment is required, and most of these equipment require professionals to operate, and users need to go to a specific testing place to complete, the application groups and application scenarios are subject to certain restrictions, and the cost of these hardware equipment is high, which is inconvenient Actual promotion and application, for example, large-scale full-face testers are expensive, bulky, and not suitable for carrying, and even portable products require users to invest money to purchase

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