CN105427306B - The image analysis method and device of skin shine - Google Patents
The image analysis method and device of skin shine Download PDFInfo
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- CN105427306B CN105427306B CN201510801151.1A CN201510801151A CN105427306B CN 105427306 B CN105427306 B CN 105427306B CN 201510801151 A CN201510801151 A CN 201510801151A CN 105427306 B CN105427306 B CN 105427306B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
Abstract
The invention discloses a kind of image analysis method of skin shine and device, effectively reflects the improvement effect of the skin shine difference and product of people to skin gloss, preferably reflects the visual evaluation result of people.Its technical scheme is：The digital picture of subjects skin is gathered under the conditions of same light source；Region to be analyzed is set on the skin image obtained；Treat the frequency distribution that analyzed area calculates pixel；The extraction conditions of bloom part are set；The pixel accounting for the bloom part extracted according to the extraction conditions of setting is calculated, in this, as the index of skin shine.
Description
Technical field
The present invention relates to the evaluation that skin characteristic and skin improve effect, and in particular to one kind is determined based on computer digital image
The analysis method and device of amount evaluation skin shine.
Background technology
People would generally judge the health status of skin according to skin gloss, and can pay close attention to cosmetics, health products etc.
Improvement to skin gloss.Therefore, can be to the skin shine of user during skin consulting, product efficacy evaluation etc. is carried out
Evaluated.
Under normal circumstances, user or valuation officer can observe by the naked eye the subjective assessment that sxemiquantitative is carried out to glossiness.
But subjective assessment is frequently subjected to the influence of many subjective factors such as estimator's experience, emotion and is difficult to the result stablized,
And the evaluation result of different evaluation person is also usually due to opinion scale difference and it is difficult to accomplish to be compared to each other.
The result obtained by objective means is relatively stable, but can have good correlation with subjective judgement be to weigh visitor
See the important means of evaluation method validity.Traditional objective evaluation means are most to obtain skin using probe pressing local skin
The Glossmeter GL200 of glossiness, such as German Courage＆Khazaka companies, its result can only reflect covering office of probe institute
The skin characteristic in portion, and test result itself is also easily influenceed by probe extruding, therefore the validity of result, stability
There is limitation.
The content of the invention
The brief overview of one or more aspects given below is to provide to the basic comprehension in terms of these.This general introduction is not
The extensive overview of all aspects contemplated, and the key or decisive key element for being both not intended to identify all aspects is also non-
Attempt to define the scope in terms of any or all.Its unique purpose is to provide the one of one or more aspects in simplified form
A little concepts think the sequence of more detailed description given later.
It is an object of the invention to solve the above problems, there is provided the image analysis method and dress of a kind of skin shine
Put, effectively reflect the improvement effect of the skin shine difference and product of people to skin gloss, preferably reflect that the vision of people is commented
Valency result.
The technical scheme is that：Present invention is disclosed a kind of image analysis method of skin shine, including：
The digital picture of subjects skin is gathered under the conditions of same light source；
Region to be analyzed is set on the skin image obtained；
Treat the frequency distribution that analyzed area calculates pixel；
The extraction conditions of bloom part are set；
The pixel accounting for the bloom part extracted according to the extraction conditions of setting is calculated, in this, as skin shine
Index.
According to an embodiment of the image analysis method of the skin shine of the present invention, the extraction bar of bloom part is being set
In the step of part, bloom part is determined by establishing the high photo threshold of the relatively overall colour of skin.
It is as follows according to an embodiment of the image analysis method of the skin shine of the present invention, the formula of high photo threshold：
T=Pmax- R%* (Pmax- Pmost),
Wherein T is high photo threshold, PmostIt is the pixel value that frequency is most on image, PmaxIt is the max pixel value of image,
R% is that bloom part accounts for (Pmax- Pmost) part accounting.
According to an embodiment of the image analysis method of the skin shine of the present invention, the setting as needed of increasing income of R values.
According to an embodiment of the image analysis method of the skin shine of the present invention, R% scope is 30% to 50%
Between.
Present invention further teaches a kind of image analysis apparatus of skin shine, including：
Image capture module, the digital picture of subjects skin is gathered under the conditions of same light source；
Analyzed area setting module, region to be analyzed is set on the skin image obtained；
Frequency distribution computing module, treat the frequency distribution that analyzed area calculates pixel；
Extraction conditions setup module, the extraction conditions of bloom part are set；
High light pixel accounting computing module, the pixel for calculating the bloom part extracted according to the extraction conditions of setting account for
Than in this, as the index of skin shine.
According to an embodiment of the image analysis apparatus of the skin shine of the present invention, extraction conditions setup module is by building
The high photo threshold for founding the relatively overall colour of skin determines bloom part.
It is as follows according to an embodiment of the image analysis apparatus of the skin shine of the present invention, the formula of high photo threshold：
T=Pmax- R%* (Pmax- Pmost),
Wherein T is high photo threshold, PmostIt is the pixel value that frequency is most on image, PmaxIt is the max pixel value of image,
R% is that bloom part accounts for (Pmax- Pmost) part accounting.
According to an embodiment of the image analysis apparatus of the skin shine of the present invention, the setting as needed of increasing income of R values.
According to an embodiment of the image analysis apparatus of the skin shine of the present invention, R% scope is 30% to 50%
Between.
Same light source condition of the present invention refers to, when being assessed for identical target, shoots the light source of photo
It is consistent, but for different ethnic groups skin glossiness evaluation when, the light conditions that can be selected are can clearly show
Show skin condition.
Present invention contrast prior art has following beneficial effect：The general principle of the present invention is people to skin shine
Judge be typically with skin to the mirror-reflection (being embodied in bloom) of light as foundation, bloom part accounting on image
Than more at most thinking that glossiness is higher.Based on this principle, by simulating the criterion of human eye, with the picture of image bloom part
Index of the plain accounting as evaluation glossiness, this index have very high correlation with subjective evaluation result, and with very
High sensitivity and precision.
The image analysis method of the present invention is that digital picture is analyzed after being taken pictures to subject, is not had to skin
Compressional deformation, so data redundancy and stability are more preferable, and can select the skin ranges to be analyzed, and it is not limited to pop one's head in
The very little region covered.In addition, this method is established by simulating the visual evaluation process of people in itself, therefore can be more preferable
Ground reflects the visual evaluation result of people.
Brief description of the drawings
Fig. 1 shows the flow chart of the preferred embodiment of the image analysis method of the skin shine of the present invention.
Fig. 2 shows the schematic diagram of the specific example of embodiment illustrated in fig. 1.
Fig. 3 shows the schematic diagram of the preferred embodiment of the image analysis apparatus of the skin shine of the present invention.
Fig. 4 shows high light pixel accounting scatter diagram of 100 samples under the setting of different R values.
Fig. 5 shows the Glossmeter value scatter diagrams of 100 samples.
Fig. 6 shows 100 sample volunteer's subjective scoring average scatter diagrams.
Embodiment
After the detailed description of embodiment of the disclosure is read in conjunction with the following drawings, it better understood when the present invention's
Features described above and advantage.In the accompanying drawings, each component is not necessarily drawn to scale, and has similar correlation properties or feature
Component may have same or like reference.
The embodiment of the image analysis method of skin shine
Fig. 1 shows the flow of the preferred embodiment of the image analysis method of the skin shine of the present invention, and Fig. 2 is shown
The schematic diagram of one specific example.With reference to shown in Fig. 1 and Fig. 2, here is each step to the image analysis method of the present embodiment
Rapid detailed description.
Step S1：The digital picture of subjects skin is gathered under the conditions of same light source.
In the present embodiment, it is specific consistent white light source.For example, as shown in Fig. 2 with the VISIA-CR (U.S.
Canfield companies) subject to be taken pictures, it is F5.6+7 that image capture conditions, which are arranged to the ceiling light intensity of light source, both sides light source strength
Degree is all F11.0+8, ISO 100, aperture F16, and white balance is daylight, avoids ambient from disturbing during shooting.A in Fig. 2
Part is the face left-side images obtained under this light conditions.
Step S2：Region to be analyzed is set on the skin image obtained.
For example, as shown in the B in Fig. 2, region to be analyzed is the rectangular area of the pixel of cheek position 1061 × 1005.
Step S3：Treat the frequency distribution that analyzed area calculates pixel.
For example, as shown in the C portion in Fig. 2, the frequency point of pixel is calculated by the region to be analyzed of the part B to Fig. 2
Cloth, obtain histogram.
Step S4：The extraction conditions of bloom part are set.
Bloom part is the higher part of relative image overall brightness on the digital image.Due to each application on human skin in itself
Overall brightness is different, so being not suitable for dividing bloom part with the same numerical value.The present invention is by establishing the relatively overall colour of skin
High photo threshold determine bloom part, the pixel portion higher than certain threshold value is then bloom part.Integral color brightness can use
Most pixel value (the P of pixel frequencymost) represent, therefore high photo threshold can be relative to PmostTo set.Specific high photo threshold is public
Formula is as follows：
High photo threshold T=Pmax- R% ﹒ (Pmax—Pmost)
Wherein PmostRepresent the pixel value that frequency is most on image；PmaxRepresent the max pixel value of image；R% represents high
Light part accounts for (Pmax—Pmost) part accounting, specific R values can increase income setting as needed, between 30% -50% all
There are better effects.
For example, image of Fig. 2 D parts for the sign high light portion point in Fig. 2 part B, Fig. 2 E parts are sign height
(black region, R% are arranged to histogram 40%) for light part.
Step S5：The pixel accounting for the bloom part extracted according to the extraction conditions of setting is calculated, in this, as skin
The index of glossiness.
For example, according to the bloom threshold condition of the frequency distribution of area image to be analyzed and setting, high light pixel is calculated
Accounting (bloom partial pixel accounts for the percentage point of image overall pixel), the index as evaluation glossiness.
The embodiment of the image analysis apparatus of skin shine
Fig. 3 shows the principle of the preferred embodiment of the image analysis apparatus of the skin shine of the present invention.Refer to figure
3, the image analysis apparatus of the present embodiment includes：Image capture module 1, analyzed area setting module 2, frequency distribution computing module
3rd, extraction conditions setup module 4, high light pixel accounting computing module 5.The output end linking parsing region of image capture module 1 is set
Cover half block 2, the output end rate of connections distribution calculation module 3 of analyzed area setting module 2, frequency distribution computing module 3 it is defeated
Go out end connection extraction conditions setup module 4, the output end of extraction conditions setup module 4 connects high light pixel accounting computing module 5.
Image capture module 1 is the digital picture that subjects skin is gathered under the conditions of same light source.
In the present embodiment, it is specific consistent white light source.For example, as shown in Fig. 2 with the VISIA-CR (U.S.
Canfield companies) subject to be taken pictures, it is F5.6+7 that image capture conditions, which are arranged to the ceiling light intensity of light source, both sides light source strength
Degree is all F11.0+8, ISO 100, aperture F16, and white balance is daylight, avoids ambient from disturbing during shooting.A in Fig. 2
Part is the face left-side images obtained under this light conditions.
Analyzed area setting module 2 is that region to be analyzed is set on the skin image obtained.For example, such as the B in Fig. 2
Shown, region to be analyzed is the rectangular area of the pixel of cheek position 1061 × 1005.
Frequency distribution computing module 3 treats the frequency distribution that analyzed area calculates pixel.For example, such as the C portion institute in Fig. 2
Show, the frequency distribution of pixel is calculated by the region to be analyzed of the part B to Fig. 2, obtains histogram.
Condition setting module 4 sets the extraction conditions of bloom part.
Bloom part is the higher part of relative image overall brightness on the digital image.Due to each application on human skin in itself
Overall brightness is different, so being not suitable for dividing bloom part with the same numerical value.The present invention is by establishing the relatively overall colour of skin
High photo threshold determine bloom part, the pixel portion higher than certain threshold value is then bloom part.Integral color brightness can use
Most pixel value (the P of pixel frequencymost) represent, therefore high photo threshold can be relative to PmostTo set.Specific high photo threshold is public
Formula is as follows：
High photo threshold T=Pmax- R% ﹒ (Pmax—Pmost)
Wherein PmostRepresent the pixel value that frequency is most on image；PmaxRepresent the max pixel value of image；R% represents high
Light part accounts for (Pmax—Pmost) part accounting, specific R values can increase income setting as needed, between 30% -50% all
There are better effects.
For example, image of Fig. 2 D parts for the sign high light portion point in Fig. 2 part B, Fig. 2 E parts are sign height
(black region, R% are arranged to histogram 40%) for light part.
The pixel that high light pixel accounting computing module 5 calculates the bloom part extracted according to the extraction conditions of setting accounts for
Than in this, as the index of skin shine.
For example, according to the bloom threshold condition of the frequency distribution of area image to be analyzed and setting, high light pixel is calculated
Accounting (bloom partial pixel accounts for the percentage point of image overall pixel), the index as evaluation glossiness.
Analysis of cases
Case 1
Present case 1 assesses one group of subjects skin's glossiness in batches using the method for above-described embodiment.
Volunteer chooses：100 25-45 year healthy women subjects are chosen, skin of face region is without obvious scar, pigment
The flaw of the impact analysis such as calmness.
Picture collection and interception：According to the method for step S1 to S2 in above-described embodiment, to half face on the left of every subject
Take pictures, and intercept the rectangular region image of cheek position 1061x1005 pixels.
Graphical analysis：According to step S3-5 in the embodiment of the image analysis method of above-mentioned skin shine, to above-mentioned 100
Sectional drawing is opened to be analyzed.Wherein R values are arranged to 30,35,40,45,50, calculate the bloom picture of every width figure under each setting respectively
Plain accounting.
Table 1 is to be described according to the bloom pixel value measurement result obtained by above-mentioned steps.
The bloom pixel value measurement result of table 1. describes
| R=30 | R=35 | R=40 | R=45 | R=50 | |
| Average | 5.4% | 3.6% | 2.5% | 1.7% | 1.1% |
| Standard deviation | 2.4% | 2.0% | 1.6% | 1.3% | 1.0% |
| Minimum value | 1.0% | 0.6% | 0.3% | 0.2% | 0.1% |
| Maximum | 14.9% | 12.8% | 10.2% | 8.8% | 6.9% |
Fig. 4 scatter diagrams are high light pixel accounting scatter diagram of 100 samples under the setting of different R values.The longitudinal axis represents bloom
Pixel accounting, transverse axis represent individual of sample, wherein by sample according to bloom pixel value during R=30 carry out from small to large from a left side to
Right arrangement.
Comparative example 1
With Glossmeter GL200,100 25-45 year healthy women subjects in evaluated in parallel case 1, to every
The skin of image acquisition areas in the case 1 of the position left cheek of identical subject is tested.
The result that table 2 is surveyed gloss value by the above method describes.
Table 2.Glossmeter GL200 survey the result description of gloss value
| Glossmeter values | |
| Average | 9.86 |
| Standard deviation | 2.50 |
| Minimum value | 5.93 |
| Maximum | 22.45 |
Fig. 5 is the Glossmeter value scatter diagrams of 100 samples.The longitudinal axis represents Glossmeter values, and transverse axis represents sample
Individual, wherein sample to be carried out according to Glossmeter values to arrangement from left to right from small to large.
Comparative example 2
For 100 25-45 year healthy women subjects in case 1, this comparative example can be entered using 60 volunteers
The subjective evaluated in parallel of row, the skin progress subjectivity to the image acquisition areas in the case 1 of every left cheek of identical subject are commented
Estimate.
Volunteer chooses：The volunteer of 60 25-55 year is chosen it is necessary to have normal color discrimination and is corrected defects of vision, and
And there is enough cognitive abilities to understand code of points.
Image prepares：Computer will be stored in after 100 sectional drawings numbering in case 1, volunteer checks when scoring with picture
Device is opened and browsed successively.
Subjective scoring：Each volunteer is scored and recorded to above-mentioned picture according to oneself understanding to skin shine
On questionnaire.
Standards of grading：1 point represents that skin is glossy；0 point represents that skin gloss is general or is difficult to judge；- 1 point of expression skin
It is lackluster.
In addition, also prompting to only focus on glossiness during volunteer's scoring, other skin properties interference are excluded, and before scoring
All skin images are substantially first browsed, image are scored one by one again after establishing probably scoring scale at heart, with to a certain degree
On avoid volunteer score scale fluctuation it is too big.
Table 3 is the average result description of 60 volunteer's subjective scorings.
The average result description of the volunteer's subjective scoring of table 3.
| Volunteer's scoring average | |
| Average | 0.16 |
| Standard deviation | 0.42 |
| Minimum value | -0.65 |
| Maximum | 1 |
Fig. 6 is volunteer's subjective scoring average scatter diagram according to 100 pictures.The longitudinal axis represents scoring average, transverse axis table
Show individual of sample, wherein sample is carried out into arrangement from left to right from small to large according to scoring average.
Comparative example 1, comparative example 2 and the result of case 1 compare analysis：
Coefficient correlation is the statistical indicator of dependency relation level of intimate between reflection variable, by calculating case 1 and comparing
Coefficient correlation between glossiness measured by example 1 and the subjective scoring average of the gained of comparative example 2, come judge the inventive method and
Two methods of Glossmeter and the degree of closeness of subjective assessment.
Table 4 lists the gloss as obtained by calculating the image analysis method (R% is arranged on 30% -50%) of case 1 of the present invention
Degree (high light pixel accounting) and Glossmeter survey the coefficient correlation of glossiness and 60 consumer's subjective scoring averages.
(R% is arranged on 30%- to gloss results measured by the inventive method with consumer's subjective scoring height correlation
When 50% 0.6) r values are both greater than, and Glossmeter and consumer's subjective scoring correlation coefficient r only have 0.422, illustrate we
Method is more nearly the visual determination of people than Glossmeter, and high light pixel accounting can express Different Individual skin gloss well
The difference of degree, validity are more preferable.
Coefficient correlation is all higher when R% is arranged on 30%-50%, can select single R values as needed in a particular application
Set.
Case 2
Present case 2 mainly introduces the glossiness change with skin before and after the inventive method evaluation sample use.
22 26-35 year female subjects are selected, face are cleaned using unified mildy wash, in laboratory with constant temperature and constant humidity
(20-22 DEG C of temperature, humidity 40-60%) shoots mug shot as skin base state after balancing 30 minutes.Subject is half of
Remove facial mask after face application facial mask 15min and pat face to fully absorbing, another half of face is not dealt with as blank control, afterwards
Mug shot is shot again.
Image is analyzed according to the method for above-described embodiment, wherein R values are arranged to 40, after obtaining bloom accounting data
It is compared, as a result such as table 5：
Glossiness and difference before and after the face sample use of table 5. half
The application face of facial mask half is obviously improved using rear glossiness than basic value, and the face of blank control half uses rear glossiness and base
Plinth value compares no significant difference.The inventive method can effectively detect the lifting effect of cosmetics to skin shine.
Although for make explanation simplify the above method is illustrated and is described as a series of actions, it should be understood that and understand,
The order that these methods are not acted is limited, because according to one or more embodiments, some actions can occur in different order
And/or with from it is depicted and described herein or herein it is not shown and describe but it will be appreciated by those skilled in the art that other
Action concomitantly occurs.
Those skilled in the art will further appreciate that, with reference to the embodiments described herein come the various illustratives that describe
Logic plate, module, circuit and algorithm steps can be realized as electronic hardware, computer software or combination of the two.To be clear
Explain to Chu this interchangeability of hardware and software, various illustrative components, frame, module, circuit and step be above with
Its functional form makees vague generalization description.Such feature be implemented as hardware or software depend on concrete application and
Put on the design constraint of total system.Technical staff can be realized described for every kind of application-specific with different modes
Feature, but such realize that decision-making should not be interpreted to cause departing from the scope of the present invention.
General place can be used with reference to various illustrative logic plate, module and the circuits that presently disclosed embodiment describes
Reason device, digital signal processor (DSP), application specific integrated circuit (ASIC), field programmable gate array (FPGA) other are compiled
Journey logical device, discrete door or transistor logic, discrete nextport hardware component NextPort or its be designed to carry out function described herein
Any combinations are realized or performed.General processor can be microprocessor, but in alternative, the processor can be appointed
What conventional processor, controller, microcontroller or state machine.Processor is also implemented as the combination of computing device, example
As the combination of DSP and microprocessor, multi-microprocessor, the one or more microprocessors to be cooperated with DSP core or it is any its
His such configuration.
It can be embodied directly in hardware, in by processor with reference to the step of method or algorithm that embodiment disclosed herein describes
Embodied in the software module of execution or in combination of the two.Software module can reside in RAM memory, flash memory, ROM and deposit
Reservoir, eprom memory, eeprom memory, register, hard disk, removable disk, CD-ROM or known in the art appoint
In the storage medium of what other forms.Exemplary storage medium is coupled to processor to enable the processor from/to the storage
Medium is read and write-in information.In alternative, storage medium can be integrated into processor.Processor and storage medium can
Reside in ASIC.ASIC can reside in user terminal.In alternative, processor and storage medium can be used as discrete sets
Part is resident in the user terminal.
In one or more exemplary embodiments, described function can be in hardware, software, firmware or its any combinations
Middle realization.If being embodied as computer program product in software, each function can be used as the instruction of one or more bars or generation
Code storage is transmitted on a computer-readable medium or by it.Computer-readable medium includes computer-readable storage medium and communication
Both media, it includes any medium for facilitating computer program to shift from one place to another.Storage medium can be can quilt
Any usable medium that computer accesses.It is non-limiting as example, such computer-readable medium may include RAM, ROM,
EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage apparatus can be used to carrying or store instruction
Or desirable program code and any other medium that can be accessed by a computer of data structure form.Any connection is also by by rights
Referred to as computer-readable medium.For example, if software is using coaxial cable, fiber optic cables, twisted-pair feeder, digital subscriber line
(DSL) or the wireless technology of such as infrared, radio and microwave etc passes from web site, server or other remote sources
Send, then the coaxial cable, fiber optic cables, twisted-pair feeder, DSL or such as infrared, radio and microwave etc is wireless
Technology is just included among the definition of medium.Disk (disk) and dish (disc) as used herein include compact disc
(CD), laser disc, laser disc, digital versatile disc (DVD), floppy disk and blu-ray disc, which disk (disk) are often reproduced in a manner of magnetic
Data, and dish (disc) laser reproduce data optically.Combinations of the above should also be included in computer-readable medium
In the range of.
Offer is for so that any person skilled in the art all can make or use this public affairs to being previously described for the disclosure
Open.Various modifications to the disclosure all will be apparent for a person skilled in the art, and as defined herein general
Suitable principle can be applied to spirit or scope of other variants without departing from the disclosure.Thus, the disclosure is not intended to be limited
Due to example described herein and design, but should be awarded and principle disclosed herein and novel features phase one
The widest scope of cause.
Claims (4)
1. a kind of image analysis method of skin shine, including：
The digital picture of subjects skin is gathered under the conditions of same light source；
Region to be analyzed is set on the skin image obtained；
Treat the frequency distribution that analyzed area calculates pixel；
The extraction conditions of bloom part are set；
The pixel accounting for the bloom part extracted according to the extraction conditions of setting is calculated, in this, as the finger of skin shine
Mark；
Wherein in the step of extraction conditions of bloom part are set, determined by establishing the high photo threshold of the relatively overall colour of skin
Bloom part, the formula of high photo threshold are as follows：
T=Pmax- R%* (Pmax- Pmost),
Wherein T is high photo threshold, PmostIt is the pixel value that frequency is most on image, PmaxIt is the max pixel value of image, R% is high
Light part accounts for (Pmax- Pmost) part accounting, R values increase income setting as needed.
2. the image analysis method of skin shine according to claim 1, it is characterised in that R% scope is 30%
To between 50%.
3. a kind of image analysis apparatus of skin shine, including：
Image capture module, the digital picture of subjects skin is gathered under the conditions of same light source；
Analyzed area setting module, region to be analyzed is set on the skin image obtained；
Frequency distribution computing module, treat the frequency distribution that analyzed area calculates pixel；
Extraction conditions setup module, the extraction conditions of bloom part are set；
High light pixel accounting computing module, the pixel accounting for the bloom part extracted according to the extraction conditions of setting is calculated, with
This index as skin shine；
Wherein extraction conditions setup module determines bloom part, high photo threshold by establishing the high photo threshold of the relatively overall colour of skin
Formula it is as follows：
T=Pmax- R%* (Pmax- Pmost),
Wherein T is high photo threshold, PmostIt is the pixel value that frequency is most on image, PmaxIt is the max pixel value of image, R% is high
Light part accounts for (Pmax- Pmost) part accounting, R values increase income setting as needed.
4. the image analysis apparatus of skin shine according to claim 3, it is characterised in that R% scope is 30%
To between 50%.
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| RU2745612C2 (en) * | 2016-06-27 | 2021-03-29 | Конинклейке Филипс Н.В. | Device and a method for detecting skin luster |
| CN106370604B (en) * | 2016-09-29 | 2021-02-26 | 上海家化联合股份有限公司 | Human body test method for cleaning capability of cleaning product to sun-proof product |
| EP3384829A1 (en) * | 2017-04-05 | 2018-10-10 | Koninklijke Philips N.V. | Skin gloss measurement for quantitative estimation of skin gloss |
| KR102411108B1 (en) * | 2019-03-20 | 2022-06-22 | 가부시키가이샤 코세 | Estimation method, method of generating an estimation model, program, and estimation apparatus |
| CN111466882A (en) * | 2020-04-23 | 2020-07-31 | 上海祉云医疗科技有限公司 | Intelligent traditional Chinese medicine hand diagnosis analysis system and method |
| CN112288722B (en) * | 2020-10-30 | 2022-07-01 | 浙江科技学院 | Method for testing pearl luster |
| CN113487562B (en) * | 2021-07-02 | 2024-04-09 | 北京美医医学技术研究院有限公司 | Skin glossiness detecting system based on handheld device |
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