Skin quality detection method and system based on big data algorithm, and equipment

Abstract

The invention relates to a skin quality detection method based on a big data algorithm. The skin quality detection method comprises the following steps: 1, establishing a human face skin sample library; 2, obtaining a training sample set and a to-be-identified sample; 3, extracting the textural features and the RGB color information of the small color image blocks; 4, training a VGG16 classifier;5, classifying the small color image blocks in the to-be-identified sample set; and 6, obtaining the proportion of the number of the small color image blocks in each category to the total number of the small color image blocks to obtain a skin quality detection result. According to the method, the accuracy of detection of complex and changeable circular skin problems, such as skin color detection,skin age detection, left and right single and double eyelids, eye bags, dark circles, forehead wrinkles, crow's feet, eye wrinkles, nasolabial folds and skin quality detection is improved, the severity of various skin problems can be analyzed, and the reliability of human face skin quality analysis is improved. The method can be applied to automatic vending equipment.

Description

technical field

[0001] The invention belongs to the technical field of image recognition, and in particular relates to a skin quality detection method, system and device based on a big data algorithm. Background technique

[0002] In recent years, with the improvement of living standards and the rapid development of medical cosmetology, people have begun to pay more and more attention to the health of their skin. When caring for the skin, a reasonable evaluation of the facial skin is required first. Face skin problems mainly include skin color detection, skin age detection, left and right single eyelid, eye bags, dark circles, forehead lines, crow's feet, fine lines under the eyes, fine lines between the eyebrows, nasolabial folds, and skin texture detection. These skin problems It is the most concerned, and there are clear identification standards in medicine, and its type can be judged by the naked eye, but its severity is greatly influenced by subjective factors. At pre...

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