A human face skin quality detection method based on artificial neural network

Abstract

The invention relates to the technical field of image processing, and discloses a human face and skin quality detection method based on an artificial neural network. It combines artificial neural network technology with image processing technology, and applies the artificial neural network prediction model that has completed the training of human face skin quality detection to predict the skin quality of the face image to be detected, which can not only ensure the accuracy of skin quality detection, but also The skin quality detection results of face images can be obtained quickly without taking multiple face images, which can greatly reduce the heavy and professional preparation work, improve the convenience of skin quality detection and improve user experience. In addition, this method can be directly promoted and applied to mobile terminals such as smart phones, using the mobile terminal's camera, microprocessor and cloud computing platform for wireless communication with the mobile terminal to realize detection anytime and anywhere, and to purchase beauty and skin care products for users Provide professional guidance, so that there is no need to configure additional professional hardware equipment to achieve zero-cost testing.

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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