CN110378304A - Skin condition detection method, device, equipment and storage medium - Google Patents
Skin condition detection method, device, equipment and storage medium Download PDFInfo
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- CN110378304A CN110378304A CN201910674040.7A CN201910674040A CN110378304A CN 110378304 A CN110378304 A CN 110378304A CN 201910674040 A CN201910674040 A CN 201910674040A CN 110378304 A CN110378304 A CN 110378304A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
Abstract
The application provides a kind of skin condition detection method, device, equipment and storage medium, is related to Skin Detection field.This method comprises: obtaining multiple first skin characteristic data according to the full-face images of shooting；The face area image for obtaining the shooting of skin detection instrument obtains multiple Second Skin characteristics according to the face area image；Skin condition is determined using preset rules according to multiple first skin characteristic data and multiple Second Skin characteristics；The preset rules include: the weight of multiple first skin characteristic data and the weight of multiple Second Skin characteristics.Compared with the existing technology, solve in the prior art, the detection dimensions of skin detection are not complete, and detect obtained skin condition lack it is comprehensive, the problem of objectivity and authenticity.
Description
Technical field
This application involves Skin Detection fields, in particular to a kind of skin condition detection method, device, set
Standby and storage medium.
Background technique
With the development of the society, modern increasingly focuses on the skin condition of itself, beauty parlor is gone to do whole skin inspection
Survey, take time and effort, in view of this, all kinds of portable skin state detector operations and give birth to, facilitate user detect skin condition.
Currently, portable skin condition detection method on the market is usually to obtain skin surface by full face self-timer image
State；Or the state based on skin detection instrument detection skin bottom.
But existing skin detecting method, departing from the perception of user, not only detection dimensions are not complete, then based on detection
To the skin condition that detects of information just lack comprehensive, objectivity and authenticity.
Summary of the invention
The purpose of the application is, in view of the deficiency of the prior art, provides a kind of skin condition detection method, dress
It sets, equipment and storage medium, to solve in the prior art, the detection dimensions of skin detection are not complete, the skin condition detected
Lack it is comprehensive, the problem of objectivity and authenticity.
To achieve the above object, the embodiment of the present application the technical solution adopted is as follows:
In a first aspect, one embodiment of the application provides a kind of skin condition detection method, comprising:
Multiple first skin characteristic data are obtained according to the full-face images of shooting；
The face area image for obtaining the shooting of skin detection instrument obtains multiple Second Skins according to the face area image
Characteristic；
According to multiple first skin characteristic data and multiple Second Skin characteristics, using preset rules,
Determine skin condition；The preset rules include: the weight and multiple described second of multiple first skin characteristic data
The weight of skin characteristic data.
It is further, described to obtain multiple first skin characteristic data according to the full-face images of shooting, comprising:
According to pre-set image recognizer, the full-face images are handled, obtain multiple first skin characteristics
Data.
Further, the face area image of the skin detection instrument shooting includes at least one following images: facial regions
The superficial skin image in domain, the bottom skin image of face area, face area blue light skin image.
Further, described that the full-face images are handled according to pre-set image recognizer, it obtains multiple described
Before first skin characteristic data, the method also includes:
Multiple sample full-face images are obtained, according to each sample full-face images and each sample full-face images pair
The mark answered is trained, and obtains the pre-set image recognizer.
It is further, described according to multiple first skin characteristic data and multiple Second Skin characteristics,
Using preset rules, skin condition is determined, comprising:
According to the weight of multiple first skin characteristic data and the power of multiple Second Skin characteristics
Weight, determines the state of superficial skin and the state of bottom skin；
According to the state of the state of the superficial skin and the bottom skin, the skin condition is determined.
Second aspect, another embodiment of the application provide a kind of skin condition detection device, comprising: first obtains mould
Block, second obtain module and determining module, in which:
Described first obtains module, for obtaining multiple first skin characteristic data according to the full-face images of shooting；
Described second obtains module, for obtaining the face area image of skin detection instrument shooting, according to the facial regions
Area image obtains multiple Second Skin characteristics；
The determining module, for according to multiple first skin characteristic data and multiple Second Skin characteristics
According to determining skin condition using preset rules；The preset rules include: the weight of multiple first skin characteristic data,
And the weight of multiple Second Skin characteristics.
Further, described first obtain module, be also used to according to pre-set image recognizer, to the full-face images into
Row processing, obtains multiple first skin characteristic data.
Further, described device further include: training module, for obtaining multiple sample full-face images, according to each institute
It states sample full-face images and the corresponding mark of each sample full-face images is trained, obtain the pre-set image identification and calculate
Method.
The third aspect, another embodiment of the application provide a kind of skin condition detection device, comprising: processor, storage
Medium and bus, the storage medium are stored with the executable machine readable instructions of the processor, when skin condition detection is set
When received shipment row, by bus communication between the processor and the storage medium, the processor executes described machine readable
The step of instruction, the method any with execution such as above-mentioned first aspect.
Fourth aspect, another embodiment of the application provide a kind of storage medium, calculating are stored on the storage medium
Machine program is executed when the computer program is run by processor such as the step of above-mentioned first aspect any the method.
The beneficial effect of the application is: using skin condition detection method provided by the present application, can pass through the complete of shooting
Face image obtains multiple first skin characteristic data, while obtaining multiple Second Skin characteristics of skin detection instrument acquisition,
According to multiple first skin characteristic data and multiple Second Skin characteristics, skin condition is determined using preset rules.The party
In method, the process of skin condition is determined, due to considering multiple first skin characteristic data and multiple Second Skin features simultaneously
Data, so the detection dimensions of skin condition are more comprehensively, so that the testing result of skin condition is more comprehensive, objective and true
It is real.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only some embodiments of the application, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the flow diagram for the skin condition detection method that one embodiment of the application provides；
Fig. 2 is the flow diagram for the skin condition detection method that another embodiment of the application provides；
Fig. 3 is the structural schematic diagram for the skin detection device that one embodiment of the application provides；
Fig. 4 is the structural schematic diagram for the skin detection device that another embodiment of the application provides；
Fig. 5 is the structural schematic diagram for the skin condition detection device that one embodiment of the application provides.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is
Some embodiments of the present application, instead of all the embodiments.
The application provides a kind of skin condition detection method, during detecting skin condition, has both considered surface layer skin
Characteristic of the skin in various dimensions, it is also contemplated that characteristic of the bottom skin in various dimensions, the detection dimensions of skin condition are more
Comprehensively, so that the testing result of skin condition is more comprehensive, objective and true.
The skin condition detection method that the following each embodiments of the application provide can be executed by skin condition detection device, should
Skin condition detection device can set for any terminals for being equipped with image application program such as mobile phone, tablet computer, wearable devices
It is standby, or the corresponding application server of image application program.The image application program can be for for skin condition detection
Application program, or the image application program including skin detection function and other image processing functions.As follows only with
For application server executes, skin detecting method provided herein is illustrated.The side executed for terminal device
The realization process of method is similar with the terminal device execution process of method, and the application repeats no more.
Fig. 1 is a kind of flow diagram for skin condition detection method that one embodiment of the application provides, as shown in Figure 1,
This method comprises:
S101: multiple first skin characteristic data are obtained according to the full-face images of shooting.
Wherein: multiple first skin characteristic data include: multiple first skin characteristic data of skin, such as: may include
Following at least two characteristics: small pox, black eye, eye pouch, blackhead, red capillary etc..
By taking application server executes as an example, before executing S101, this method may also include that application server reception comes from
The full-face images for the shooting that terminal device uploads.
Optionally, after the skin detection function of the image application program on terminal device is opened, user is according to application program
Prompt, upload a full-face images to be detected to application program.Wherein, the full-face images of upload can be captured in real-time
Full-face images, or the full-face images shot before choosing from photograph album, specific upload mode need to set according to user
Meter, does not do any restrictions herein.
Application server, can be according to the corresponding processing method of each feature, to shooting after getting the full face of the shooting
Full-face images handled, obtain multiple first skin characteristic data of full face skin.
S102: obtaining the face area image of skin detection instrument shooting, obtains multiple second skins according to face area image
Skin characteristic.
Wherein, Second Skin characteristic may include following at least two data: compact degree, refinement degree, water and oil balance
Degree, equal cleanliness, pigementation degree etc..
It should be noted that can be issued to terminal device after application server obtains the full-face images that terminal device uploads
Skin detection instrument is connect by instruction, prompt terminal equipment instruction user with the terminal device for being equipped with the application program, and according to
Skin detection instrument, is placed on each position to be detected of user face by prompt, further acquires user's face area image, and root
According to collected face area image, Second Skin characteristic is obtained；Wherein, position to be detected can be with are as follows: cheek, forehead,
Nose, chin etc..
Skin detection instrument after obtaining multiple Second Skin characteristics, can also by the terminal device or directly to
Application server uploads multiple Second Skin characteristics of skin detection instrument acquisition.
S103: it is determined according to multiple first skin characteristic data and multiple Second Skin characteristics using preset rules
Skin condition.
Wherein, preset rules include: the weight and multiple Second Skin characteristics of multiple first skin characteristic data
Weight.
Optionally, this weight is that in advance rule of thumb and investigational data calculating and setting, which can be according to user
The finding of impression and demand to each dimension of skin is adjusted, and real-time update is adjusted each on the application server
The weight of dimension.
It should be noted that application server is getting multiple first skin characteristic data and multiple Second Skin features
After data, COMPREHENSIVE CALCULATING can be carried out to collected all data, finally calculated according to the weight rule for presetting each dimension
To the score value of a skin condition, it can be used for indicating the current whole skin condition of user；Then, application server is according to this
The score value of skin condition, and detected by the application server skin shape of the other users of the same age bracket of skin condition
The score value of state further calculates the ranking of the skin condition of the user, such as: the skin condition of the user is leading how many of the same age
People.The application server is in information such as the rankings of skin condition of score value and the user for obtaining the skin condition of the user
In the case where, the information such as the ranking of the score value of the skin condition of the user and the skin condition of the user can be also sent to
On terminal device, the interface of the application program to be shown in terminal device is checked for user.
Need to point out it is that the skin condition can be indicated by the score value of above-mentioned skin condition, the symbol of skin condition can also be passed through
Number, the other forms such as word content or image content indicate.
Optionally, if the ranking of the skin condition of the user is indicated by leading information, which can be with percentage
Several form embodies, such as: leading 90% contemporary of your current skin condition；Or embody in digital form, such as:
Leading 12153 contemporary of your current skin condition；Concrete embodiment form needs to design according to user, does not appoint herein
What is limited.
In the present embodiment, multiple first skin characteristic data are obtained by the full-face images of shooting, while obtaining skin inspection
The multiple Second Skin characteristics for surveying instrument acquisition, after having obtained the various dimensions characteristic of superficial skin and bottom skin, root
According to multiple first skin characteristic data and multiple Second Skin characteristics, skin condition is determined using preset rules.This method
In, the process of skin condition is determined, due to considering multiple first skin characteristic data and multiple Second Skin characteristics simultaneously
According to so the detection dimensions of skin condition are more comprehensively, so that the testing result of skin condition is more comprehensive, objective and true
It is real.
Optionally, step S101 can include: according to pre-set image recognizer, full-face images are handled, are obtained more
A first skin characteristic data.
The pre-set image recognizer can include: the corresponding recognizer of preset multiple first skin characteristic data, because
This, in this method, can handle the full-face images of shooting, obtain according to the corresponding recognition methods of each skin characteristic data
To multiple first skin characteristic data.
Optionally, the face area image of skin detection instrument shooting includes at least one following images: the table of face area
Layer skin image, the bottom skin image of face area, face area blue light skin image.
Wherein, the superficial skin image sheet of face area be used to detect the colour of skin of user, pore detailed information (such as: hair
Whether hole size shape, blocks), the texture information of skin, surface layer pigment deposition situation；The bottom skin figure of face area
As pigment deposition situation, the bottom capillary situation for detecting user's bottom skin；The blue light skin image of face area
Skin cleannes, bacterium residual etc. for detecting user.
In one embodiment, application server obtains an at least face area image for skin detection instrument shooting
Afterwards, above-mentioned image can be handled, and obtains multiple Second Skin characteristics.
It in another embodiment, can be by shooting after an at least face area image for skin detection instrument shooting
Image is sent to terminal device, is handled by the terminal device above-mentioned image, obtains multiple Second Skin features of skin
Data.Terminal device is obtaining the bottom skin after multiple Second Skin characteristics, can send it to application server.
It in yet another embodiment, can be to above-mentioned figure after an at least face area image for skin detection instrument shooting
As being handled, multiple Second Skin characteristics of skin are obtained.Skin detection instrument is in the multiple Second Skins for obtaining skin
After characteristic, application server can be sent it to by terminal device, or directly send it to application server.
Fig. 2 is the flow diagram for the skin condition acquisition method that another embodiment of the application provides, as shown in Fig. 2,
Before S101, this method may also include that
S104: obtaining multiple sample full-face images, corresponding according to each sample full-face images and each sample full-face images
Mark be trained, obtain pre-set image recognizer.
It should be noted that application program, before coming into operation, application server can be according to multiple sample full-face images
It is trained, to obtain pre-set image recognizer, then.In use, directly pass through pre-set image recognizer pair
The full-face images of shooting are handled, multiple first skin characteristic data after acquisition processing.
In the trained initial stage, multiple sample full-face images can be labeled by user, marked content includes each
Multiple first skin characteristic data and the corresponding scoring of each first skin characteristic data in sample full-face images, such as: certain
It is labeled in one sample full-face images in corresponding position: -85 points of black eye；- 88 points of small pox.
Then, it is trained according to a large amount of sample image and corresponding mark, obtains pre-set image recognizer.
Optionally, step S103 can include: according to the weight of multiple first skin characteristic data and multiple Second Skins
The weight of characteristic determines the state of superficial skin and the state of bottom skin.According to the state of superficial skin and bottom skin
The state of skin, determines skin condition.
After determining skin condition, application server as a result, push to terminal device, is set this skin detection by terminal
It is standby to be shown on the display interface of application program, user is showed, for checking this testing result.
Optionally, when application server output test result, final determining skin condition can only be exported；It can also distinguish
It is specific defeated so that user integrally refers to by skin bottom state, skin surface state and finally determining skin condition output
Mode needs to design according to user out, does not do any restrictions herein.
In the present embodiment, multiple first skin characteristic data are obtained by the full-face images of shooting, while obtaining skin inspection
The multiple Second Skin characteristics for surveying instrument acquisition, after having obtained the various dimensions characteristic of superficial skin and bottom skin, root
According to multiple first skin characteristic data and multiple Second Skin characteristics, skin condition is determined using preset rules.This method
In, the process of skin condition is determined, due to considering multiple first skin characteristic data and multiple Second Skin characteristics simultaneously
According to so the detection dimensions of skin condition are more comprehensively, so that the testing result of skin condition is more comprehensive, objective and true
It is real.
Fig. 3 is the structural schematic diagram for the skin condition detection device that one embodiment of the application provides, as described in Figure 3, the dress
Set includes: that the first acquisition module 301, second obtains module 302 and determining module 303, in which:
First obtains module 301, for obtaining multiple first skin characteristic data according to the full-face images of shooting.
Second obtains module 302, for obtaining the face area image of skin detection instrument shooting, according to face area image
Obtain multiple Second Skin characteristics.
Determining module 303 is used for according to multiple first skin characteristic data and multiple Second Skin characteristics, using pre-
If regular, skin condition is determined；Preset rules include: multiple first skin characteristic data weight and multiple Second Skins
The weight of characteristic.
Optionally, first module 301 is obtained, is also used to handle full-face images according to pre-set image recognizer,
Obtain multiple first skin characteristic data.
Fig. 4 is the structural schematic diagram for the skin condition detection device that another embodiment of the application provides, as shown in figure 4, should
Device further include: training module 304, for obtaining multiple sample full-face images, according to each sample full-face images and each sample
The corresponding mark of this full-face images is trained, and obtains pre-set image recognizer.
The method that above-mentioned apparatus is used to execute previous embodiment offer, it is similar that the realization principle and technical effect are similar, herein not
It repeats again.
The above module can be arranged to implement one or more integrated circuits of above method, such as: one
Or multiple specific integrated circuits (Application Specific Integrated Circuit, abbreviation ASIC), or, one
Or multi-microprocessor (digital singnal processor, abbreviation DSP), or, one or more field programmable gate
Array (Field Programmable Gate Array, abbreviation FPGA) etc..For another example, when some above module passes through processing elements
When the form of part scheduler program code is realized, which can be general processor, such as central processing unit (Central
Processing Unit, abbreviation CPU) or it is other can be with the processor of caller code.For another example, these modules can integrate
Together, it is realized in the form of system on chip (system-on-a-chip, abbreviation SOC).
Fig. 5 is the structural schematic diagram for the skin condition detection device that one embodiment of the application provides, skin condition detection
Equipment can integrate in equipment perhaps the chip of the equipment equipment can be equipped with image application program terminal device or
The application server of image application program.
The skin condition detection device includes: processor 501, storage medium 502 and bus 503.
Processor 501 is for storing program, the program that processor 501 calls storage medium 502 to store, to execute above-mentioned side
Method embodiment.Specific implementation is similar with technical effect, and which is not described herein again.
Optionally, the application also provides a kind of program product, such as storage medium, is stored with computer on the storage medium
Program, including program, the program execute above method embodiment when being run by processor.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or logical of device or unit
Letter connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can store and computer-readable deposit at one
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) or processor (English: processor) execute this Shen
Please each embodiment the method part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory
(English: Read-Only Memory, abbreviation: ROM), random access memory (English: Random Access Memory, letter
Claim: RAM), the various media that can store program code such as magnetic or disk.
Claims (10)
1. a kind of skin condition detection method, which is characterized in that the described method includes:
Multiple first skin characteristic data are obtained according to the full-face images of shooting；
The face area image for obtaining the shooting of skin detection instrument obtains multiple Second Skin features according to the face area image
Data；
It is determined according to multiple first skin characteristic data and multiple Second Skin characteristics using preset rules
Skin condition；The preset rules include: multiple first skin characteristic data weight and multiple Second Skins
The weight of characteristic.
2. the method as described in claim 1, which is characterized in that described to obtain multiple first skins according to the full-face images of shooting
Characteristic, comprising:
According to pre-set image recognizer, the full-face images are handled, obtain multiple first skin characteristic data.
3. the method as described in claim 1, which is characterized in that the face area image of the skin detection instrument shooting includes extremely
A kind of few following images: the superficial skin image of face area, the bottom skin image of face area, face area blue light skin
Skin image.
4. method according to claim 2, which is characterized in that it is described according to pre-set image recognizer, to the full face figure
As being handled, before obtaining multiple first skin characteristic data, the method also includes:
Multiple sample full-face images are obtained, it is corresponding according to each sample full-face images and each sample full-face images
Mark is trained, and obtains the pre-set image recognizer.
5. such as method of any of claims 1-4, which is characterized in that described according to multiple first skin characteristics
Data and multiple Second Skin characteristics determine skin condition using preset rules, comprising:
According to the weight of multiple first skin characteristic data and the weight of multiple Second Skin characteristics, really
Determine the state of superficial skin and the state of bottom skin；
According to the state of the state of the superficial skin and the bottom skin, the skin condition is determined.
6. a kind of skin condition detection device, which is characterized in that described device includes: the first acquisition module, the second acquisition module
And determining module, in which:
Described first obtains module, for obtaining multiple first skin characteristic data according to the full-face images of shooting；
Described second obtains module, for obtaining the face area image of skin detection instrument shooting, according to the face area figure
As obtaining multiple Second Skin characteristics；
The determining module is used for according to multiple first skin characteristic data and multiple Second Skin characteristics,
Using preset rules, skin condition is determined；The preset rules include: the weight of multiple first skin characteristic data, with
And the weight of multiple Second Skin characteristics.
7. device as claimed in claim 6, which is characterized in that described first obtains module, is also used to be known according to pre-set image
Other algorithm, handles the full-face images, obtains multiple first skin characteristic data.
8. device as claimed in claim 7, which is characterized in that described device further include: training module, for obtaining multiple samples
This full-face images is trained according to the corresponding mark of each sample full-face images and each sample full-face images,
Obtain the pre-set image recognizer.
9. a kind of skin condition detection device characterized by comprising processor, storage medium and bus, the storage medium
The executable machine readable instructions of the processor are stored with, when the operation of skin condition detection device, the processor and institute
It states by bus communication between storage medium, the processor executes the machine readable instructions, and such as right is executed when executing
It is required that the step of 1-5 any described skin condition detection method.
10. a kind of storage medium, which is characterized in that be stored with computer program, the computer program on the storage medium
The step of skin condition detection method a method as claimed in any one of claims 1 to 5 is executed when being run by processor.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111127451A (en) * | 2019-12-27 | 2020-05-08 | 宇龙计算机通信科技(深圳)有限公司 | Skin state identification method and device, storage medium and terminal |
| CN112107296A (en) * | 2020-09-10 | 2020-12-22 | 深圳安道客网络科技有限公司 | Skin information detection system and detection method |
| WO2024037287A1 (en) * | 2022-08-19 | 2024-02-22 | 厦门松霖科技股份有限公司 | Facial skin evaluation method and evaluation device |
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