Face skin detection method based on artificial neural network

An artificial neural network and detection method technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of heavy preparation work, high cost of hardware equipment, inconvenient promotion and application, etc., to reduce the burden and professionalism. degree, ensure the accuracy, and achieve the effect of zero-cost detection

An artificial neural network and detection method technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of heavy preparation work, high cost of hardware equipment, inconvenient promotion and application, etc., to reduce the burden and professionalism. degree, ensure the accuracy, and achieve the effect of zero-cost detection

CN106469302AActive Publication Date: 2017-03-01成都知识视觉科技有限公司
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  • Face skin detection method based on artificial neural network
  • Face skin detection method based on artificial neural network

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Embodiment 1

[0023] figure 1 A schematic flow chart showing the human face skin quality detection method based on the artificial neural network provided by the present invention, figure 2 A schematic diagram of dividing a face image into 14 image blocks provided by the present invention is shown. The human face and skin quality detection method based on artificial neural network provided in this embodiment includes the following steps.

[0024] S101. Acquire a face image to be detected, and then perform preprocessing on the face image to be detected to obtain N pieces of first feature data of different face and skin quality detection items, where N is a natural number.

[0025]In the step S101, the face image to be detected may be a historical face image stored in a local memory, or may be a face image acquired instantly through a camera (such as a camera in a smart phone). Further optimized, in the step of preprocessing the face image to be detected to obtain the first feature data of ...

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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...

Claims

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Application Information

Patent Timeline
01 Mar 2017
Publication
CN106469302A
IPC
G06K9/00
CPC
G06V40/161; G06V40/168
Inventors
蒲洋; 向飞