阅读说明：本技术 一种皮肤检测方法、系统及美容装置 (Skin detection method and system and beauty device ) 是由 李振琦 黄建生 于 2021-06-29 设计创作，主要内容包括：本发明公开了一种皮肤检测方法、系统及美容装置,方法包括依据多光谱成像技术采集全脸皮肤图像,并将采集到的全脸皮肤图像发送至云端服务器进行分析,得到人脸皮肤显性特征,依据人脸皮肤显性特征,得到人脸皮肤隐性特征,依据人脸皮肤显性特征和人脸皮肤隐性特征,生成可视化分析报告,从而实现皮肤的深度检测；通过采用云端服务器对全脸皮肤图像进行分析,能够替代美容师的分析工作,从而能够有效避免过于依赖美容师经验而导致的检测差异大的情况,同时,通过依据人脸皮肤显性特征得到人脸皮肤隐性特征,并依据人脸皮肤显性特征和人脸皮肤隐性特征生成可视化分析报告,能够有效实现皮肤的深层分析,从而提高检测效果。(The invention discloses a skin detection method, a skin detection system and a beauty device, wherein the method comprises the steps of collecting a full-face skin image according to a multispectral imaging technology, sending the collected full-face skin image to a cloud server for analysis to obtain a face skin dominant characteristic, obtaining a face skin recessive characteristic according to the face skin dominant characteristic, and generating a visual analysis report according to the face skin dominant characteristic and the face skin recessive characteristic so as to realize the depth detection of skin; through adopting the high in the clouds server to carry out the analysis to full face skin image, can replace beauty teacher's analysis work to can effectively avoid excessively relying on the big condition of detection difference that beauty teacher's experience leads to, simultaneously, obtain the recessive characteristic of face skin through according to the dominant characteristic of face skin, and generate visual analysis report according to the dominant characteristic of face skin and the recessive characteristic of face skin, can effectively realize the deep analysis of skin, thereby improve detection effect.)

1. A skin detection method is based on a multispectral imaging technology and is characterized by comprising the following steps:

step S1, collecting a full-face skin image according to a multispectral imaging technology, and sending the collected full-face skin image to a cloud server;

step S2, the cloud server analyzes the received full-face skin image to obtain the dominant characteristics of the face skin;

step S3, obtaining human face skin recessive characteristics according to the human face skin dominant characteristics;

and step S4, generating a visual analysis report according to the dominant features and the recessive features of the human face skin, thereby realizing the depth detection of the skin.

2. The skin detection method according to claim 1, wherein the step S2 specifically comprises the steps of:

step S21, obtaining a purple image and a mask image according to the received full-face skin image;

and step S22, respectively extracting the characteristics of the full-face skin image, the purple image and the mask image, thereby obtaining the dominant characteristics of the face skin.

3. The skin detection method according to claim 2, wherein the step S3 specifically comprises the steps of:

step S31, pre-storing a corresponding table of the dominant features and the recessive features of the human face skin;

and step S32, inquiring the corresponding table of the human face skin dominant characteristic and the human face skin recessive characteristic according to the obtained human face skin dominant characteristic, thereby obtaining the human face skin recessive characteristic.

4. The skin detection method as claimed in claim 3, wherein the human-face skin dominant features include spots, wrinkles, textures, pores and subcutaneous blood vessels on the skin, and the human-face skin recessive features include color spots, radiation uniformity, skin fine lines, pore conditions and ultraviolet spots of the skin basal layer.

5. A skin detection system, characterized in that the system comprises:

the acquisition module is used for acquiring a full-face skin image according to a multispectral imaging technology and sending the acquired full-face skin image to the cloud server;

the first analysis module is used for analyzing the received full-face skin image by the cloud server to obtain the dominant characteristics of the face skin;

the second analysis module is used for obtaining the recessive characteristic of the human face skin according to the dominant characteristic of the human face skin;

and the generating module is used for generating a visual analysis report according to the dominant characteristic of the human face skin and the recessive characteristic of the human face skin.

6. A skin detection system according to claim 5, wherein the first analysis module comprises:

the image acquisition module is used for obtaining a purple image and a mask image according to the received full-face skin image;

and the feature extraction module is used for respectively extracting features of the full-face skin image, the purple image and the mask image to obtain the dominant features of the face skin.

7. A skin detection system according to claim 6, wherein the second analysis module comprises:

the storage module is used for prestoring a corresponding table of the dominant features and the recessive features of the human face skin;

and the query module is used for querying the corresponding table of the human face skin dominant characteristic and the human face skin recessive characteristic according to the obtained human face skin dominant characteristic to obtain the human face skin recessive characteristic.

8. The skin detection system of claim 7, wherein the human-face skin dominant features include spots, wrinkles, texture, pores, and subcutaneous blood vessels on the skin, and the human-face skin recessive features include color spots, radiation uniformity, skin fine lines, pore conditions, and ultraviolet spots of the basal layer of the skin.

9. A cosmetic device comprising a first processor, a memory, a second processor and a cosmetic apparatus, wherein the second processor is connected with the first processor, the memory and the cosmetic apparatus, respectively, the first processor executes the skin detection method according to any one of claims 1 to 4, the memory stores skin care solutions, and the second processor is used for acquiring the skin care solutions and controlling the cosmetic apparatus.

Technical Field

The invention relates to the technical field of skin detection, in particular to a skin detection method, a skin detection system and a beauty device.

Background

With the increasing living standard of people, people begin to pay more attention to their health, the health of skin is one of the key points, people can usually detect the health condition of skin in a beauty institution to determine the health condition of skin, and use a care product corresponding to the health condition of skin to care skin, in the prior art, a beauty therapist in the beauty institution needs to use a skin detection device to collect an enlarged image of the skin to be detected when detecting the condition of the skin to be detected, and then the beauty therapist can determine the health condition of the skin to be detected according to experience and the enlarged image, however, the existing skin detection method has the following defects: (1) when the skin health condition is determined, the experience of a cosmetologist is excessively depended, different cosmetologists have different detection results even if the skin image is the same, and the detection difference is large; (2) the detection only stays on the visible surface of the skin, the deep analysis and detection of the skin cannot be carried out, and the detection effect is poor.

Disclosure of Invention

In view of this, the present invention provides a skin detection method, a skin detection system and a cosmetic device, which can solve the defects of large detection difference and poor detection effect of the existing skin detection method.

The technical scheme of the invention is realized as follows:

a skin detection method is based on a multispectral imaging technology and specifically comprises the following steps:

step S1, collecting a full-face skin image according to a multispectral imaging technology, and sending the collected full-face skin image to a cloud server;

step S2, the cloud server analyzes the received full-face skin image to obtain the dominant characteristics of the face skin;

step S3, obtaining human face skin recessive characteristics according to the human face skin dominant characteristics;

and step S4, generating a visual analysis report according to the dominant features and the recessive features of the human face skin, thereby realizing the depth detection of the skin.

As a further alternative of the skin detection method, the step S2 specifically includes the following steps:

step S21, obtaining a purple image and a mask image according to the received full-face skin image;

and step S22, respectively extracting the characteristics of the full-face skin image, the purple image and the mask image, thereby obtaining the dominant characteristics of the face skin.

As a further alternative of the skin detection method, the step S3 specifically includes the following steps:

step S31, pre-storing a corresponding table of the dominant features and the recessive features of the human face skin;

and step S32, inquiring the corresponding table of the human face skin dominant characteristic and the human face skin recessive characteristic according to the obtained human face skin dominant characteristic, thereby obtaining the human face skin recessive characteristic.

As a further alternative of the skin detection method, the human face skin dominant features comprise spots, wrinkles, textures, pores and subcutaneous blood vessels on the skin, and the human face skin recessive features comprise color spots, radiation uniformity, skin fine lines, pore conditions and ultraviolet spots of a skin basal layer.

A skin detection system, the system comprising:

the acquisition module is used for acquiring a full-face skin image according to a multispectral imaging technology and sending the acquired full-face skin image to the cloud server;

the first analysis module is used for analyzing the received full-face skin image by the cloud server to obtain the dominant characteristics of the face skin;

the second analysis module is used for obtaining the recessive characteristic of the human face skin according to the dominant characteristic of the human face skin;

and the generating module is used for generating a visual analysis report according to the dominant characteristic of the human face skin and the recessive characteristic of the human face skin.

As a further alternative to the skin detection system, the first analysis module comprises:

the image acquisition module is used for obtaining a purple image and a mask image according to the received full-face skin image;

and the feature extraction module is used for respectively extracting features of the full-face skin image, the purple image and the mask image to obtain the dominant features of the face skin.

As a further alternative to the skin detection system, the second analysis module comprises:

the storage module is used for prestoring a corresponding table of the dominant features and the recessive features of the human face skin;

and the query module is used for querying the corresponding table of the human face skin dominant characteristic and the human face skin recessive characteristic according to the obtained human face skin dominant characteristic to obtain the human face skin recessive characteristic.

As a further alternative of the skin detection system, the human face skin dominant features comprise spots, wrinkles, textures, pores and subcutaneous blood vessels on the skin, and the human face skin recessive features comprise color spots, radiation uniformity, skin fine lines, pore conditions and ultraviolet spots of the skin basal layer.

A beauty device comprises a first processor, a memory, a second processor and a beauty device, wherein the second processor is respectively connected with the first processor, the memory and the beauty device, the first processor executes any one of the skin detection methods, the memory stores a skin care solution, and the second processor is used for acquiring the skin care solution and controlling the beauty device.

The invention has the beneficial effects that: through adopting the high in the clouds server to carry out the analysis to full face skin image, can replace beauty teacher's analysis work to can effectively avoid excessively relying on the big condition of detection difference that beauty teacher's experience leads to, simultaneously, obtain the recessive characteristic of face skin through according to the dominant characteristic of face skin, and generate visual analysis report according to the dominant characteristic of face skin and the recessive characteristic of face skin, can effectively realize the deep analysis of skin, thereby improve detection effect.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart of a skin detection method according to the present invention;

FIG. 2 is a schematic diagram of a skin detection system according to the present invention;

fig. 3 is a constitutional view of a beauty treatment apparatus of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1-3, a skin detection method, based on multispectral imaging technology, specifically includes the following steps:

step S1, collecting a full-face skin image according to a multispectral imaging technology, and sending the collected full-face skin image to a cloud server;

step S2, the cloud server analyzes the received full-face skin image to obtain the dominant characteristics of the face skin;

step S3, obtaining human face skin recessive characteristics according to the human face skin dominant characteristics;

and step S4, generating a visual analysis report according to the dominant features and the recessive features of the human face skin, thereby realizing the depth detection of the skin.

In this embodiment, through adopting the high in the clouds server to carry out the analysis to full face skin image, can replace beauty therapist's analysis work to can effectively avoid too relying on the big condition of detection difference that beauty therapist experience leads to, simultaneously, obtain the recessive characteristic of face skin through according to the dominant characteristic of face skin, and generate visual analysis report according to the dominant characteristic of face skin and the recessive characteristic of face skin, can effectively realize the deep analysis of skin, thereby improve detection effect.

It should be noted that the detection of the skin surface can be realized by obtaining the dominant features of the human face skin, and the deep detection of the skin can be realized by obtaining the recessive features of the human face skin.

Preferably, the step S2 specifically includes the following steps:

step S21, obtaining a purple image and a mask image according to the received full-face skin image;

and step S22, respectively extracting the characteristics of the full-face skin image, the purple image and the mask image, thereby obtaining the dominant characteristics of the face skin.

In this embodiment, the purple image is a purple full-face skin image, the mask image is an image obtained by capturing features of the full-face skin image, and then the full-face skin image, the purple image and the mask image are subjected to further feature extraction, so that a human face skin dominant feature can be obtained, and the accuracy of skin detection is improved.

Preferably, the step S3 specifically includes the following steps:

step S31, pre-storing a corresponding table of the dominant features and the recessive features of the human face skin;

and step S32, inquiring the corresponding table of the human face skin dominant characteristic and the human face skin recessive characteristic according to the obtained human face skin dominant characteristic, thereby obtaining the human face skin recessive characteristic.

In this embodiment, present cloud server prestores face skin dominant characteristic and the recessive characteristic correspondence table of face skin, when obtaining face skin dominant characteristic, just can inquire this characteristic correspondence table fast to obtain face skin recessive characteristic fast, and then improve skin detection's efficiency.

Preferably, the human face skin dominant features comprise spots, wrinkles, textures, pores and subcutaneous blood vessels on the skin, and the human face skin recessive features comprise color spots, radiation uniformity, skin fine lines, pore conditions and ultraviolet spots of a skin basal layer.

In the present embodiment, by detecting spots, pores, wrinkles, and skin texture on the skin, and subcutaneous blood vessels due to ultraviolet irradiation, not only the problem of exposure on the surface layer of the skin but also the problem of deep skin, such as color spots, pore condition, skin fine lines, radiation uniformity, facial infection, ultraviolet spots in the basal layer of the skin, and the like, can be detected, and the skin detection effect can be further improved.

A skin detection system, the system comprising:

the acquisition module is used for acquiring a full-face skin image according to a multispectral imaging technology and sending the acquired full-face skin image to the cloud server;

the first analysis module is used for analyzing the received full-face skin image by the cloud server to obtain the dominant characteristics of the face skin;

the second analysis module is used for obtaining the recessive characteristic of the human face skin according to the dominant characteristic of the human face skin;

and the generating module is used for generating a visual analysis report according to the dominant characteristic of the human face skin and the recessive characteristic of the human face skin.

In this embodiment, through adopting the high in the clouds server to carry out the analysis to full face skin image, can replace beauty therapist's analysis work to can effectively avoid too relying on the big condition of detection difference that beauty therapist experience leads to, simultaneously, obtain the recessive characteristic of face skin through according to the dominant characteristic of face skin, and generate visual analysis report according to the dominant characteristic of face skin and the recessive characteristic of face skin, can effectively realize the deep analysis of skin, thereby improve detection effect.

It should be noted that the detection of the skin surface can be realized by obtaining the dominant features of the human face skin, and the deep detection of the skin can be realized by obtaining the recessive features of the human face skin.

Preferably, the first analysis module comprises:

the image acquisition module is used for obtaining a purple image and a mask image according to the received full-face skin image;

and the feature extraction module is used for respectively extracting features of the full-face skin image, the purple image and the mask image to obtain the dominant features of the face skin.

In this embodiment, the purple image is a purple full-face skin image, the mask image is an image obtained by capturing features of the full-face skin image, and then the full-face skin image, the purple image and the mask image are subjected to further feature extraction, so that a human face skin dominant feature can be obtained, and the accuracy of skin detection is improved.

Preferably, the second analysis module comprises:

the storage module is used for prestoring a corresponding table of the dominant features and the recessive features of the human face skin;

and the query module is used for querying the corresponding table of the human face skin dominant characteristic and the human face skin recessive characteristic according to the obtained human face skin dominant characteristic to obtain the human face skin recessive characteristic.

In this embodiment, present cloud server prestores face skin dominant characteristic and the recessive characteristic correspondence table of face skin, when obtaining face skin dominant characteristic, just can inquire this characteristic correspondence table fast to obtain face skin recessive characteristic fast, and then improve skin detection's efficiency.

Preferably, the human face skin dominant features comprise spots, wrinkles, textures, pores and subcutaneous blood vessels on the skin, and the human face skin recessive features comprise color spots, radiation uniformity, skin fine lines, pore conditions and ultraviolet spots of a skin basal layer.

In the present embodiment, by detecting spots, pores, wrinkles, and skin texture on the skin, and subcutaneous blood vessels due to ultraviolet irradiation, not only the problem of exposure on the surface layer of the skin but also the problem of deep skin, such as color spots, pore condition, skin fine lines, radiation uniformity, facial infection, ultraviolet spots in the basal layer of the skin, and the like, can be detected, and the skin detection effect can be further improved.

A beauty device comprises a first processor, a memory, a second processor and a beauty device, wherein the second processor is respectively connected with the first processor, the memory and the beauty device, the first processor executes any one of the skin detection methods, the memory stores a skin care solution, and the second processor is used for acquiring the skin care solution and controlling the beauty device.

In this embodiment, the first processor can generate a visual analysis report by executing any one of the skin detection methods, and send the visual analysis report to the second processor, the second processor learns the skin problems according to the visual analysis report, then obtains a skin care solution capable of solving the skin problems from the memory, and finally controls the beauty equipment according to the obtained skin care solution, thereby achieving a beauty effect.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.