CN109419491A - The acquisition methods and device of skin red capillary degree - Google Patents
The acquisition methods and device of skin red capillary degree Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
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Abstract
The invention discloses the acquisition methods and device of a kind of skin red capillary degree, method includes: the two dimensional code of the distribution of scan skin optical detector, and measured's information is transferred to skin detection system by http protocol；Skin sampled images are directly acquired in measured face designated position using specialty optics sampling handle, and send skin detection system to；Skin detection system automatically processes it, is screened for each pixel of skin sampled images, obtains the pixel result filtered out；Calculate the intuitive score of front end；Skin detection system generates final skin red capillary examining report and saves, and is transmitted to cloud server by http protocol, and cloud server pushes it to wechat that measured uses by http protocol or customization APP shows.The present invention, which can solve, to be led to the problem of Traditional skin optical detector data inaccuracy because of detector diversity, can constantly promote the detection precise degrees of skin optical detector.
Description
Technical field
The present invention relates to skin detection field, in particular to a kind of the acquisition methods and device of skin red capillary degree.
Background technique
Traditional skin detecting method is to directly acquire skin figure by digital imaging apparatus based on Digital image technology
Picture.This method has the following deficiencies: that first, primary sample can only carry out local analysis, and global analysis needs repeatedly sampling
Carry out comprehensive analysis again afterwards；The second, the quality of detector is required, the color of light cannot be distorted very much；Third, detected person
Examining report be only stored in the detector used at that time or do not save at all, interaction relevant to detected person is almost
Zero, and none is for the condition of detection side's long-term follow detected person's examining report.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the above drawbacks of the prior art, providing one kind can solve because of inspection
Gauge head diversity and lead to the problem of Traditional skin optical detector data inaccuracy, can constantly promote skin optical detector
Detect the acquisition methods and device of the skin red capillary degree of precise degrees.
The technical solution adopted by the present invention to solve the technical problems is: constructing a kind of acquisition side of skin red capillary degree
Method includes the following steps:
A) measured passes through unique distribution of scan skin optical detector using the wechat or customization APP of mobile terminal
Two dimensional code, measured's information is transferred to skin detection system by http protocol；The customization APP is for the red blood of skin
The APP of silk detection, the skin detection system are mounted in the skin optical detector；
B it) is sampled using specialty optics sampling handle in the designated position of measured face, directly acquires clearly skin
Skin sampled images, and it is transferred to the skin detection system；
C) skin detection system automatically processes the skin sampled images, for the skin sampled images
Each pixel screened, obtain the pixel result filtered out；
D the pixel result) filtered out according to calculates the intuitive score of front end；
E final skin red capillary examining report) is generated in the skin detection system, and saves it in the skin
In skin detection system, while cloud server is transmitted to by http protocol, the cloud server passes through http protocol
By the final skin red capillary examining report be pushed to the mobile terminal that the measured uses wechat or customization APP into
Row shows.
In the acquisition methods of skin red capillary degree of the present invention, the step C) further comprise:
C1 the average brightness of the skin sampled images) is calculated；
C2) qualified pixel is filtered out from the skin sampled images.
In the acquisition methods of skin red capillary degree of the present invention, the step C1) further comprise:
C11 the brightness of single pixel point in the skin sampled images) is calculated；
C12 the brightness for calculating each pixel in the skin sampled images) is looped through, by each pixel
Brightness is cumulative to obtain total amount brightness；
C13 the total amount brightness) is obtained into the skin sampling divided by the number of pixel in the skin sampled images
The average brightness of image.
The invention further relates to a kind of devices of acquisition methods for realizing above-mentioned skin red capillary degree, comprising:
Measured's information transmission unit: for making measured using the wechat of mobile terminal or customization APP, by scanning skin
Measured's information is transferred to skin detection system by http protocol by the two dimensional code of skin optical detector uniquely distributed；Institute
Stating customization APP is the APP detected for skin red capillary, and the skin detection system is mounted on the skin optical detector
In；
Skin sampling unit: for being sampled in the designated position of measured face using specialty optics sampling handle,
Clearly skin sampled images are directly acquired, and are transferred to the skin detection system；
Handle screening unit: for automatically processing the skin detection system to the skin sampled images, needle
Each pixel of the skin sampled images is screened, obtains the pixel result filtered out；
The intuitive score calculating unit in front end: the pixel result for filtering out according to calculates intuitive point of front end
Number；
Skin detection reports push unit: for generating final skin red capillary detection in the skin detection system
Report, and save it in the skin detection system, while cloud server is transmitted to by http protocol, it is described
The final skin red capillary examining report is pushed to the shifting that the measured uses by http protocol by cloud server
The wechat or customization APP of dynamic terminal are showed.
In device of the present invention, the processing screening unit further comprises:
Average brightness computing module: for calculating the average brightness of the skin sampled images；
Pixel screening module: for filtering out qualified pixel from the skin sampled images.
In device of the present invention, the average brightness computing module further comprises:
Pixel brightness calculation module: for calculating the brightness of single pixel point in the skin sampled images；
Total amount brightness calculation module: the bright of each pixel in the skin sampled images is calculated for looping through
The brightness of each pixel is added up and obtains total amount brightness by degree；
Division operation module: it for the number by the total amount brightness divided by pixel in the skin sampled images, obtains
To the average brightness of the skin sampled images.
The acquisition methods and device for implementing skin red capillary degree of the invention have the advantages that due to tested
Person is passed through measured's information by the two dimensional code of scan skin optical detector uniquely distributed using wechat or customization APP
Http protocol is transferred to skin detection system；It is directly acquired using specialty optics sampling handle in the designated position of measured face
Clearly skin sampled images, and it is transferred to skin detection system；Skin detection system carries out certainly skin sampled images
Dynamic processing, is screened for each pixel of skin sampled images, obtains the pixel result filtered out；According to screening
Pixel result out calculates the intuitive score of front end；Final skin red capillary detection report is generated in skin detection system
It accuses, and saves it in skin detection system, while cloud server, cloud server are transmitted to by http protocol
Wechat that the measured uses is pushed it to by http protocol or customization APP shows, and can solve because detector is more
Sample and cause the problem of Traditional skin optical detector data inaccuracy, can constantly be promoted skin optical detector detection essence
Quasi- degree.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow chart of method in the acquisition methods and device one embodiment of skin red capillary degree of the present invention；
Fig. 2 is that skin detection system automatically processes the skin sampled images in the embodiment, for skin
Each pixel of sampled images is screened, and obtains the specific flow chart of the pixel result filtered out；
Fig. 3 is the specific flow chart that the average brightness of skin sampled images is calculated in the embodiment；
Fig. 4 is the structural schematic diagram of device in the embodiment；
Fig. 5 is the structural schematic diagram of average brightness computing module in the embodiment.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In the acquisition methods of skin red capillary degree of the present invention and Installation practice, the acquisition of skin red capillary degree
The flow chart of method is as shown in Figure 1.In Fig. 1, the acquisition methods of the skin red capillary degree include the following steps:
Step S01 measured passes through the unique of scan skin optical detector using the wechat or customization APP of mobile terminal
Measured's information is transferred to skin detection system by http protocol by the two dimensional code of distribution: in this step, measured uses shifting
The wechat or customization APP of dynamic terminal are led to measured's information by the two dimensional code of scan skin optical detector uniquely distributed
It crosses http protocol and is transferred to skin detection system.Above-mentioned customization APP is the APP detected for skin red capillary, above-mentioned skin inspection
Examining system is mounted in skin optical detector.Above-mentioned mobile terminal is mobile phone or tablet computer.
Step S02 is sampled using specialty optics sampling handle in the designated position of measured face, is directly acquired clear
Clear skin sampled images, and it is transferred to skin detection system: in this step, using specialty optics sampling handle tested
The designated position of person face samples, and directly acquires clearly skin sampled images, and the skin sampled images are sent to
Skin detection system.
Step S03 skin detection system automatically processes skin sampled images, for each of skin sampled images
A pixel is screened, and obtains the pixel result filtered out: in this step, skin detection system to skin sampled images into
Row automatically processes, and is screened for each pixel of skin sampled images, obtains the pixel result filtered out.About
Specifically how to be screened, it is subsequent to will be described in detail.
Step S04 calculates the intuitive score of front end according to the pixel result filtered out: in this step, according to what is filtered out
The intuitive score of pixel result calculating front end.
Step S05 generates final skin red capillary examining report in skin detection system, and saves it in skin
In detection system, while cloud server is transmitted to by http protocol, cloud server will be final by http protocol
Skin red capillary examining report be pushed to the mobile terminal that measured uses wechat or customization APP show: this step
In, final skin red capillary examining report is generated in skin detection system, by the final skin red capillary examining report
It is stored in skin detection system, while final skin red capillary examining report is transferred to by cloud service by http protocol
Final skin red capillary examining report is pushed to the mobile terminal that measured uses by http protocol by device, cloud server
Wechat or customization APP showed.
Method of the invention is established on the basis of possessing large-scale different types of sample, is based on dermatology expert to red blood
The professional judgement of silk, and to the basic research more than 10000 parts of picture samples, tracking to this multi-group data, by sample
The red capillary of product picture judges, records multi-group data, and then the brightness of analysis picture sample and contrast are to filtering out red capillary
Influence, obtain algebraic relation, find out pixel pigment, brightness, contrast inner link.It is can solve in this way because of detector diversity
And lead to the problem of traditional detection instrument data inaccuracy.Under the premise of not influencing original skin optical detection system soft and hardware,
Constantly summarizing, upgrade and optimizing by cloud big data, it can constantly promote the detection precise degrees of skin optical detector.
For the present embodiment, above-mentioned steps S03 can also be refined further, flow chart such as Fig. 2 institute after refinement
Show.In Fig. 2, above-mentioned steps S03 further comprises:
The average brightness of step S31 calculating skin sampled images: in the present embodiment, it is assumed that a length of X of skin sampled images,
Width is Y, and skin sampled images are made of X*Y pixel, respectively Pixel1, Pixel2, Pixel3 ..., each pixel
It is made of tri- components of R, G, B.In this step, the average brightness of skin sampled images is calculated, on how to specifically calculate skin
The average brightness of sampled images, it is subsequent to will be described in detail.
Step S32 filters out qualified pixel from skin sampled images: in this step, from skin sampled images
In filter out qualified pixel.
For the present embodiment, above-mentioned steps S31 can also be refined further, and the flow chart after refinement is as shown in Figure 3.
In Fig. 3, above-mentioned steps S31 further comprises:
Step S311 calculates the brightness of single pixel point in skin sampled images: in this step, calculating skin sampled images
The brightness of middle single pixel point, the brightness calculation mode of single pixel point are GrayInt=(pixel.R*0.3+pixel.G*
0.59+pixel.B*0.11), wherein GrayInt is the brightness of single pixel point, and pixel.R is the red of pixel pixel
Component, pixel.G are the green component of pixel pixel, and pixel.B is the bluetooth component of pixel pixel.
Step S312 loops through the brightness for calculating each pixel in skin sampled images, by each pixel
Brightness is cumulative to obtain total amount brightness: in this step, the brightness for calculating each pixel in skin sampled images is looped through, it will
The brightness of each pixel is cumulative to obtain total amount brightness GrayTotalInt.
Total amount brightness divided by the number of pixel in skin sampled images, is obtained the flat of skin sampled images by step S313
Equal brightness: in this step, by total amount brightness divided by the number of pixel in skin sampled images, the flat of skin sampled images is obtained
Equal brightness, i.e. AverageGray=GrayTotalInt/ (X*Y), wherein AverageGray is being averaged for skin sampled images
Brightness.
Understanding to above-mentioned steps S32 for convenience, the source code for providing its realization are as follows:
Understanding to above-mentioned steps S04 for convenience, the source code for providing its realization are as follows:
Method of the invention solves defect existing for Traditional skin optical detector at all from testing mechanism, detection
Precision is higher, is physically easier to perform.
The present embodiment further relates to a kind of device of acquisition methods for realizing above-mentioned skin red capillary degree, structural schematic diagram
As shown in Figure 4.In Fig. 4, which includes measured's information transmission unit 1, skin sampling unit 2, handles screening unit 3, is preceding
Intuitive score calculating unit 4 and skin detection is held to report push unit 5；Wherein, measured's information transmission unit 1 is for making to be tested
Person will be tested using the wechat or customization APP of mobile terminal by the two dimensional code of scan skin optical detector uniquely distributed
Person's information is transferred to skin detection system by http protocol；Above-mentioned customization APP is the APP detected for skin red capillary, on
Skin detection system is stated to be mounted in skin optical detector；Above-mentioned mobile terminal is mobile phone or tablet computer.
Skin sampling unit 2 is used to sample handle using specialty optics, samples in the designated position of measured face,
Clearly skin sampled images are directly acquired, and are transferred to skin detection system；Processing screening unit 3 is for examining skin
Examining system automatically processes skin sampled images, is screened, is obtained for each pixel of skin sampled images
The pixel result filtered out；The intuitive score calculating unit 4 in front end is used to calculate front end according to the pixel result filtered out
Intuitive score；Skin detection report push unit 5 is used to generate final skin red capillary detection report in skin detection system
It accuses, and saves it in skin detection system, while cloud server, cloud server are transmitted to by http protocol
Final skin red capillary examining report is pushed to the wechat or customization of the mobile terminal that measured uses by http protocol
APP is showed.
The device of the invention is established on the basis of possessing large-scale different types of sample, is based on dermatology expert to red blood
The professional judgement of silk, and to the basic research more than 10000 parts of picture samples, tracking to this multi-group data, by sample
The red capillary of product picture judges, records multi-group data, and then the brightness of analysis picture sample and contrast are to filtering out red capillary
Influence, obtain algebraic relation, find out pixel pigment, brightness, contrast inner link.It is can solve in this way because of detector diversity
And lead to the problem of traditional detection instrument data inaccuracy.Under the premise of not influencing original skin optical detection system soft and hardware,
Constantly summarizing, upgrade and optimizing by cloud big data, it can constantly promote the detection precise degrees of skin optical detector.
In the present embodiment, processing screening unit 3 further comprises average brightness computing module 31 and pixel screening module
32；Wherein, average brightness computing module 31 is used to calculate the average brightness of skin sampled images；Pixel screening module 32 is used for
Qualified pixel is filtered out from skin sampled images.
Fig. 5 is the structural schematic diagram of average brightness computing module in the present embodiment, and average brightness computing module 31 is further
Including pixel brightness calculation module 311, total amount brightness calculation module 312 and division operation module 313；Wherein, pixel is lighted
Degree computing module 311 is used to calculate the brightness of single pixel point in skin sampled images；Total amount brightness calculation module 312 is for following
Ring traversal calculates the brightness of each pixel in skin sampled images, and the brightness of each pixel is added up, and it is bright to obtain total amount
Degree；Division operation module 313 is used to total amount brightness obtaining skin sample graph divided by the number of pixel in skin sampled images
The average brightness of picture.
In short, the professional judgement the present invention is based on dermatology expert to red capillary, and to more than 10000 parts picture samples
Basic research, judged by red capillary to sample pictures, record multi-group data, then the brightness of analysis picture sample with it is right
Influence than degree to red capillary is filtered out, obtains algebraic relation, and can solve causes Traditional skin optics to be examined because of detector diversity
Survey the problem of instrument data inaccuracy；Under the premise of not influencing original skin optical detection system soft and hardware, pass through the big number in cloud
According to constantly summarize, upgrade and optimize, can constantly promote the detection precise degrees of skin optical detector.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of acquisition methods of skin red capillary degree, which comprises the steps of:
A) measured passes through two uniquely distributed of scan skin optical detector using the wechat or customization APP of mobile terminal
Code is tieed up, measured's information is transferred to skin detection system by http protocol；The customization APP is to examine for skin red capillary
The APP of survey, the skin detection system are mounted in the skin optical detector；
B it) is sampled using specialty optics sampling handle in the designated position of measured face, directly acquires clearly skin and adopt
Sampled images, and it is transferred to the skin detection system；
C) skin detection system automatically processes the skin sampled images, for the every of the skin sampled images
One pixel is screened, and obtains the pixel result filtered out；
D the pixel result) filtered out according to calculates the intuitive score of front end；
E final skin red capillary examining report) is generated in the skin detection system, and saves it in the skin inspection
In examining system, while cloud server is transmitted to by http protocol, the cloud server passes through http protocol for institute
State final skin red capillary examining report be pushed to the mobile terminal that the measured uses wechat or customization APP open up
It is existing.
2. the acquisition methods of skin red capillary degree according to claim 1, which is characterized in that the step C) further
Include:
C1 the average brightness of the skin sampled images) is calculated；
C2) qualified pixel is filtered out from the skin sampled images.
3. the acquisition methods of skin red capillary degree according to claim 2, which is characterized in that the step C1) into one
Step includes:
C11 the brightness of single pixel point in the skin sampled images) is calculated；
C12 the brightness for calculating each pixel in the skin sampled images) is looped through, by the brightness of each pixel
It is cumulative to obtain total amount brightness；
C13 the total amount brightness) is obtained into the skin sampled images divided by the number of pixel in the skin sampled images
Average brightness.
4. a kind of device for the acquisition methods for realizing skin red capillary degree as described in claim 1, which is characterized in that packet
It includes:
Measured's information transmission unit: for making measured using the wechat of mobile terminal or customization APP, pass through scan skin light
The two dimensional code uniquely distributed for learning detector, is transferred to skin detection system by http protocol for measured's information；It is described fixed
APP processed is the APP detected for skin red capillary, and the skin detection system is mounted in the skin optical detector；
Skin sampling unit: it for sampling handle using specialty optics, is sampled in the designated position of measured face, directly
Clearly skin sampled images are obtained, and are transferred to the skin detection system；
Handle screening unit: for automatically processing the skin detection system to the skin sampled images, for institute
Each pixel for stating skin sampled images is screened, and obtains the pixel result filtered out；
The intuitive score calculating unit in front end: the pixel result for filtering out according to calculates the intuitive score of front end；
Skin detection reports push unit: for generating final skin red capillary detection report in the skin detection system
It accuses, and saves it in the skin detection system, while cloud server, the cloud are transmitted to by http protocol
Hold server that the final skin red capillary examining report is pushed to the movement that the measured uses by http protocol
The wechat or customization APP of terminal are showed.
5. the device of the acquisition methods according to claim 4 for realizing skin red capillary degree as described in claim 1,
It is characterized in that, the processing screening unit further comprises:
Average brightness computing module: for calculating the average brightness of the skin sampled images；
Pixel screening module: for filtering out qualified pixel from the skin sampled images.
6. the acquisition methods of skin red capillary degree according to claim 5, which is characterized in that the average brightness calculates
Module further comprises:
Pixel brightness calculation module: for calculating the brightness of single pixel point in the skin sampled images；
Total amount brightness calculation module:, will for looping through the brightness for calculating each pixel in the skin sampled images
The brightness of each pixel is cumulative to obtain total amount brightness；
Division operation module: for the number by the total amount brightness divided by pixel in the skin sampled images, institute is obtained
State the average brightness of skin sampled images.
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| CN201710781190.9A CN109419491A (en) | 2017-09-01 | 2017-09-01 | The acquisition methods and device of skin red capillary degree |
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| CN102542253A (en) * | 2011-11-23 | 2012-07-04 | 上海大学 | Method for classifying bizygomatic colors of face on basis of support vector machine |
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Application publication date: 20190305 |