CN105427306A - Image analysis method and apparatus for skin lustrousness - Google Patents
Image analysis method and apparatus for skin lustrousness Download PDFInfo
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- CN105427306A CN105427306A CN201510801151.1A CN201510801151A CN105427306A CN 105427306 A CN105427306 A CN 105427306A CN 201510801151 A CN201510801151 A CN 201510801151A CN 105427306 A CN105427306 A CN 105427306A
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- 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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- 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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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
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Abstract
The invention discloses an image analysis method and apparatus for skin lustrousness, so that the skin lustrousness difference of people and the improvement effects of products on the skin lustrousness are effectively reflected and visual evaluation results of people are better reflected. The technical scheme is that the method comprises: acquiring a digital image of the skin of a testee under the same light source condition; setting a to-be-analyzed region on the acquired skin image; calculating frequency distribution of pixels for the to-be-analyzed region; setting extraction conditions of a highlight part; and calculating a pixel occupation ratio of the highlight part extracted according to the set extraction conditions, and taking the pixel occupation ratio as a skin lustrousness index.
Description
Technical field
The present invention relates to the evaluation that skin characteristic and skin improve effect, be specifically related to a kind of analytical approach based on computer digital image quantitative evaluation skin shine and device.
Background technology
People can judge the health status of skin usually according to skin gloss, and can pay close attention to the improvement to skin gloss such as cosmetics, health products.Therefore carrying out the period such as skin consulting, product efficacy evaluation, can evaluate the skin shine of user.
Under normal circumstances, user or valuation officer can carry out semiquantitative subjective assessment by visual inspection to glossiness.But subjective assessment is usually subject to the impact of a lot of subjective factor such as estimator's experience, emotion and is difficult to obtain stable result, and the evaluation result of different evaluation person also is usually difficult to accomplish mutually to compare because opinion scale is different.
Can the result obtained by objective means be relatively stable, but have good correlativity to be weigh the important means of method for objectively evaluating validity with subjective judgement.Traditional objective evaluation means majority uses probe pressing local skin to obtain skin shine, as the GlossmeterGL200 of German Courage & Khazaka company, its result can only reflect that probe institute covers skin characteristic locally, and test result own is also easily subject to popping one's head in the impact of extruding, therefore the validity of result, stability have limitation.
Summary of the invention
Below provide the brief overview of one or more aspect to provide the basic comprehension to these aspects.Detailed the combining of this not all aspect contemplated of general introduction is look at, and both not intended to be pointed out out the scope of key or decisive any or all aspect of elements nor delineate of all aspects.Its unique object is the sequence that some concepts that will provide one or more aspect in simplified form think the more detailed description provided after a while.
The object of the invention is to solve the problem, provide a kind of image analysis method and device of skin shine, the skin shine difference of effective reflection people and product, to improvement effect of skin gloss, reflect the visual evaluation result of people better.
Technical scheme of the present invention is: the image analysis method that present invention is disclosed a kind of skin shine, comprising:
The digital picture of subjects skin is gathered under same light source condition;
Obtained skin image sets region to be analyzed;
Treat the frequency distribution that analyzed area calculates pixel;
The extraction conditions of high light part is set;
Calculate the pixel accounting of the high light part extracted according to the extraction conditions arranged, in this, as the index of skin shine.
According to an embodiment of the image analysis method of skin shine of the present invention, in the step of extraction conditions that high light part is set, determine high light part by the high photo threshold setting up the relative overall colour of skin.
According to an embodiment of the image analysis method of skin shine of the present invention, the formula of high photo threshold is as follows:
T＝P
max－R％*(P
max－P
most)，
Wherein T is high photo threshold, P
mostthe pixel value that on image, frequency is maximum, P
maxbe the max pixel value of image, R% is that high light part accounts for (P
max-P
most) part accounting.
According to an embodiment of the image analysis method of skin shine of the present invention, R value is increased income setting as required.
According to an embodiment of the image analysis method of skin shine of the present invention, the scope of R% is between 30% to 50%.
Present invention further teaches a kind of image analysis apparatus of skin shine, comprising:
Image capture module, gathers the digital picture of subjects skin under same light source condition;
Analyzed area setting module, obtained skin image sets region to be analyzed;
Frequency distribution computing module, treats the frequency distribution that analyzed area calculates pixel;
Extraction conditions arranges module, arranges the extraction conditions of high light part;
High light pixel accounting computing module, calculates the pixel accounting of the high light part extracted according to the extraction conditions arranged, in this, as the index of skin shine.
According to an embodiment of the image analysis apparatus of skin shine of the present invention, extraction conditions arranges module and determines high light part by the high photo threshold setting up the relative overall colour of skin.
According to an embodiment of the image analysis apparatus of skin shine of the present invention, the formula of high photo threshold is as follows:
T＝P
max－R％*(P
max－P
most)，
Wherein T is high photo threshold, P
mostthe pixel value that on image, frequency is maximum, P
maxbe the max pixel value of image, R% is that high light part accounts for (P
max-P
most) part accounting.
According to an embodiment of the image analysis apparatus of skin shine of the present invention, R value is increased income setting as required.
According to an embodiment of the image analysis apparatus of skin shine of the present invention, the scope of R% is between 30% to 50%.
Same light source condition of the present invention refers to, when assessing for identical target, the light conditions of taking pictures is consistent, but when evaluating for the glossiness of the skin of different ethnic group, the light conditions that can select is clearly can show skin condition.
The present invention contrasts prior art following beneficial effect: ultimate principle of the present invention be people to skin shine judge normally with skin to the mirror-reflection (being embodied in Gao Guang) of light as foundation, the accounting of high light part on image thinks that glossiness is higher more at most.Based on this principle, by simulating the criterion of human eye, to scheme the pixel accounting of image height light part as the index evaluating glossiness, this index and subjective evaluation result have very high correlativity, and have very high sensitivity and precision.
Image analysis method of the present invention analyzes digital picture after taking pictures to experimenter, compressional deformation is not had to skin, so data redundancy and stability are better, and the skin ranges that will analyze can be selected, and be not limited to the very zonule covered of popping one's head in.In addition, this method itself is set up by the visual evaluation process of simulation people, therefore can reflect the visual evaluation result of people better.
Accompanying drawing explanation
Fig. 1 shows the process flow diagram of the preferred embodiment of the image analysis method of skin shine of the present invention.
Fig. 2 shows the schematic diagram of concrete example embodiment illustrated in fig. 1.
Fig. 3 shows the schematic diagram of the preferred embodiment of the image analysis apparatus of skin shine of the present invention.
Fig. 4 shows the high light pixel accounting scatter diagram of 100 routine samples under different R value is arranged.
Fig. 5 shows the Glossmeter value scatter diagram of 100 routine samples.
Fig. 6 shows 100 routine sample volunteer subjective scoring average scatter diagrams.
Embodiment
After the detailed description of reading embodiment of the present disclosure in conjunction with the following drawings, above-mentioned feature and advantage of the present invention can be understood better.In the accompanying drawings, each assembly is not necessarily drawn in proportion, and the assembly with similar correlation properties or feature may have identical or close Reference numeral.
the embodiment of the image analysis method of skin shine
Fig. 1 shows the flow process of the preferred embodiment of the image analysis method of skin shine of the present invention, and Fig. 2 shows the schematic diagram of a concrete example.Shown in composition graphs 1 and Fig. 2, here is the detailed description of each step of image analysis method to the present embodiment.
Step S1: the digital picture gathering subjects skin under same light source condition.
In the present embodiment, be specific consistent white light source.Such as, as shown in Figure 2, VISIA-CR (Canfield company of the U.S.) is used to take pictures to experimenter, it is F5.6+7 that image capture conditions is set to the ceiling light intensity of light source, both sides lamp source intensity is all F11.0+8, ISO is 100, and aperture is F16, white balance is daylight, avoids extraneous light to disturb during shooting.Part A in Fig. 2 is the face left-side images obtained under this light conditions.
Step S2: set region to be analyzed on obtained skin image.
Such as, as shown in the B in Fig. 2, region to be analyzed is the rectangular area of cheek position 1061 × 1005 pixel.
Step S3: treat the frequency distribution that analyzed area calculates pixel.
Such as, as shown in the C part in Fig. 2, calculated the frequency distribution of pixel by the region to be analyzed of the part B to Fig. 2, obtain histogram.
Step S4: the extraction conditions that high light part is set.
High light part and the higher part of relative image overall brightness on the digital image.Because the overall brightness of everyone skin itself is different, so be not suitable for the same numerical value to divide high light part.The present invention determines high light part by the high photo threshold setting up the relative overall colour of skin, and the pixel portion higher than certain threshold value is then high light part.Pixel value (the P that integral color brightness available pixel frequency is maximum
most) represent, therefore high photo threshold can relative to P
mostset.Concrete high photo threshold formula is as follows:
High photo threshold T=P
max-R% ﹒ (P
max-P
most)
Wherein P
mostrepresent the pixel value that on image, frequency is maximum; P
maxrepresent the max pixel value of image; R% represents that high light part accounts for (P
max-P
most) accounting of part, concrete R value can be increased income setting as required, between 30%-50%, have better effects.
Such as, the D part of Fig. 2 is the image indicating high light part in the part B of Fig. 2, and the E part of Fig. 2 is the histogram indicating high light part (black region, R% is set to 40%).
Step S5: the pixel accounting calculating the high light part extracted according to the extraction conditions arranged, in this, as the index of skin shine.
Such as, according to the frequency distribution of area image to be analyzed and the high photo threshold condition of setting, calculate high light pixel accounting (high light partial pixel accounts for the percentage point of image overall pixel), as the index evaluating 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 skin shine of the present invention.Refer to Fig. 3, the image analysis apparatus of the present embodiment comprises: image capture module 1, analyzed area setting module 2, frequency distribution computing module 3, extraction conditions arrange module 4, high light pixel accounting computing module 5.The output terminal linking parsing region setting module 2 of image capture module 1, the output terminal rate of connections distribution calculation module 3 of analyzed area setting module 2, the output terminal of frequency distribution computing module 3 connects extraction conditions and arranges module 4, and the output terminal that extraction conditions arranges module 4 connects high light pixel accounting computing module 5.
Image capture module 1 is the digital picture gathering subjects skin under same light source condition.
In the present embodiment, be specific consistent white light source.Such as, as shown in Figure 2, VISIA-CR (Canfield company of the U.S.) is used to take pictures to experimenter, it is F5.6+7 that image capture conditions is set to the ceiling light intensity of light source, both sides lamp source intensity is all F11.0+8, ISO is 100, and aperture is F16, white balance is daylight, avoids extraneous light to disturb during shooting.Part A in Fig. 2 is the face left-side images obtained under this light conditions.
Analyzed area setting module 2 sets region to be analyzed on obtained skin image.Such as, as shown in the B in Fig. 2, region to be analyzed is the rectangular area of cheek position 1061 × 1005 pixel.
Frequency distribution computing module 3 treats the frequency distribution that analyzed area calculates pixel.Such as, as shown in the C part in Fig. 2, calculated the frequency distribution of pixel by the region to be analyzed of the part B to Fig. 2, obtain histogram.
Condition setting module 4 arranges the extraction conditions of high light part.
High light part and the higher part of relative image overall brightness on the digital image.Because the overall brightness of everyone skin itself is different, so be not suitable for the same numerical value to divide high light part.The present invention determines high light part by the high photo threshold setting up the relative overall colour of skin, and the pixel portion higher than certain threshold value is then high light part.Pixel value (the P that integral color brightness available pixel frequency is maximum
most) represent, therefore high photo threshold can relative to P
mostset.Concrete high photo threshold formula is as follows:
High photo threshold T=P
max-R% ﹒ (P
max-P
most)
Wherein P
mostrepresent the pixel value that on image, frequency is maximum; P
maxrepresent the max pixel value of image; R% represents that high light part accounts for (P
max-P
most) accounting of part, concrete R value can be increased income setting as required, between 30%-50%, have better effects.
Such as, the D part of Fig. 2 is the image indicating high light part in the part B of Fig. 2, and the E part of Fig. 2 is the histogram indicating high light part (black region, R% is set to 40%).
High light pixel accounting computing module 5 calculates the pixel accounting of the high light part extracted according to the extraction conditions arranged, in this, as the index of skin shine.
Such as, according to the frequency distribution of area image to be analyzed and the high photo threshold condition of setting, calculate high light pixel accounting (high light partial pixel accounts for the percentage point of image overall pixel), as the index evaluating glossiness.
case analysis
Case 1
Present case 1 adopts the method for above-described embodiment to carry out batch and assesses one group of subjects skin's glossiness.
Volunteer chooses: choose 100 25-45 year healthy women experimenters, skin of face region is without the flaw of the impact analysis such as obvious scar, pigmentation.
Picture collection and intercepting: according to the method for step S1 to S2 in above-described embodiment, take pictures to half face on the left of every experimenter, and intercept the rectangular region image of cheek position 1061x1005 pixel.
Graphical analysis: according to step S3-5 in the embodiment of the image analysis method of above-mentioned skin shine, analyzes above-mentioned 100 sectional drawings.Wherein R value is set to 30,35,40,45,50, calculates respectively in each high light pixel accounting arranging lower every width figure.
Table 1 be according to above-mentioned steps gained high light pixel value measurement result describe.
Table 1. high light pixel value measurement result 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％ |
| Maximal value | 14.9％ | 12.8％ | 10.2％ | 8.8％ | 6.9％ |
Fig. 4 scatter diagram is the high light pixel accounting scatter diagrams of 100 routine samples under different R value is arranged.The longitudinal axis represents high light pixel accounting, and transverse axis represents individual of sample, wherein by arrangement that sample carries out from left to right according to high light pixel value during R=30 from small to large.
Comparative example 1
Use GlossmeterGL200,100 25-45 in evaluated in parallel case 1 year healthy women experimenter, the skin of the image acquisition areas in the case 1 of every identical left cheek of experimenter is tested.
The result that table 2 surveys by said method gloss value describes.
Table 2.GlossmeterGL200 institute survey gloss value result description
| Glossmeter value | |
| Average | 9.86 |
| Standard deviation | 2.50 |
| Minimum value | 5.93 |
| Maximal value | 22.45 |
Fig. 5 is the Glossmeter value scatter diagram of 100 routine samples.The longitudinal axis represents Glossmeter value, and transverse axis represents individual of sample, wherein by arrangement that sample carries out from left to right according to Glossmeter value from small to large.
Comparative example 2
For the 25-45 year healthy women experimenter of 100 in case 1, this comparative example can adopt 60 volunteers to carry out subjective evaluated in parallel, carries out subjective evaluation to the skin of the image acquisition areas in the case 1 of every identical left cheek of experimenter.
Volunteer chooses: choose 60 25-55 year volunteer, need to there is normal color discrimination and correct defects of vision, and there is enough cognitive abilities to understand code of points.
Image prepares: stored in computer after being numbered by the sectional drawing of 100 in case 1, uses Photo Viewer to open and browse successively when volunteer marks.
Subjective scoring: each volunteer to mark to above-mentioned picture to the understanding of skin shine according to oneself and is recorded 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 represents that skin is lackluster.
In addition, only pay close attention to glossiness when also pointing out volunteer to mark, get rid of the interference of other skin properties, and first roughly browse all skin images before scoring, again image is marked one by one after setting up general scoring scale at heart, to avoid volunteer's scale fluctuation of marking too large to a certain extent.
Table 3 is that the average result of 60 volunteer's subjective scorings describes.
The average result of table 3. volunteer subjective scoring describes
| Volunteer marks average | |
| Average | 0.16 |
| Standard deviation | 0.42 |
| Minimum value | -0.65 |
| Maximal value | 1 |
Fig. 6 is the volunteer's subjective scoring average scatter diagram according to 100 pictures.The longitudinal axis represents scoring average, and transverse axis represents individual of sample, wherein by arrangement that sample carries out from left to right according to scoring average from small to large.
The result compare of analysis of comparative example 1, comparative example 2 and case 1:
Related coefficient is the statistical indicator of correlationship level of intimate between reflection variable, by the related coefficient between the glossiness measured by calculating case 1 and comparative example 1 and the subjective scoring average of comparative example 2 gained, judge the degree of closeness of the inventive method and Glossmeter two kinds of methods and subjective assessment.
Table 4 list by the image analysis method (R% is arranged on 30%-50%) of case 1 of the present invention calculate gained glossiness (high light pixel accounting) and Glossmeter survey the related coefficient of glossiness and 60 consumer's subjective scoring averages.
Gloss results measured by the inventive method and consumer's subjective scoring height correlation (when R% is arranged on 30%-50%, r value is all greater than 0.6), and the correlation coefficient r of Glossmeter and consumer's subjective scoring only has 0.422, this method is described than Glossmeter more close to the visual determination of people, high light pixel accounting can express the difference of Different Individual skin shine well, and validity is better.
When R% is arranged on 30%-50%, related coefficient is all higher, and single R value can be selected in a particular application as required to arrange.
Case 2
Present case 2 mainly introduces the glossiness change of using the inventive method assess sample to use front and back skin.
Select 22 26-35 year female subjects, use the clean face of unified mildy wash, after laboratory with constant temperature and constant humidity (temperature 20-22 DEG C, humidity 40-60%) balances 30 minutes, take mug shot as skin base state.The half of face of experimenter is applied ointment or plaster and is removed facial mask after facial mask 15min and pat face to absorbing completely, and another half of face does not deal with as blank, again takes mug shot afterwards.
Analyze image according to the method for above-described embodiment, wherein R value is set to 40, and compare after obtaining high light accounting data, result is as table 5:
Glossiness before and after table 5. half face sample uses and difference
Glossiness lifting more remarkable in basic value after facial mask half face of applying ointment or plaster uses, after blank half face uses, glossiness is compared with basic value and is not had significant difference.The inventive method can detect cosmetics lifting effect to skin shine effectively.
Said method illustrated although simplify for making explanation and is described as a series of actions, it should be understood that and understand, these methods not limit by the order of action, because according to one or more embodiment, some actions can occur by different order and/or with from illustrating herein and describe or not shown and to describe but other actions that it will be appreciated by those skilled in the art that occur concomitantly herein.
Those skilled in the art will understand further, and the various illustrative logic plates, module, circuit and the algorithm steps that describe in conjunction with embodiment disclosed herein can be embodied as electronic hardware, computer software or the combination of both.For clearly explaining orally this interchangeability of hardware and software, various illustrative components, frame, module, circuit and step are done vague generalization above with its functional form and are described.This type of is functional is implemented as hardware or software depends on embody rule and puts on the design constraint of total system.Technician can realize described functional by different modes for often kind of application-specific, but such realize decision-making and should not be interpreted to and cause having departed from scope of the present invention.
The various illustrative logic plates, module and the circuit that describe in conjunction with embodiment disclosed herein can realize with general processor, digital signal processor (DSP), special IC (ASIC), field programmable gate array (FPGA) or other programmable logic device (PLD), discrete door or transistor logic, discrete nextport hardware component NextPort or its any combination being designed to perform function described herein or perform.General processor can be microprocessor, but in alternative, and this processor can be the processor of any routine, controller, microcontroller or state machine.Processor can also be implemented as the combination of computing equipment, the combination of such as DSP and microprocessor, multi-microprocessor, with one or more microprocessor of DSP central cooperation or any other this type of configure.
The method described in conjunction with embodiment disclosed herein or the step of algorithm can be embodied directly in hardware, in the software module performed by processor or in the combination of both and embody.Software module can reside in the storage medium of RAM storer, flash memory, ROM storer, eprom memory, eeprom memory, register, hard disk, removable dish, CD-ROM or any other form known in the art.Exemplary storage medium is coupled to processor and can reads and written information from/to this storage medium to make this processor.In alternative, storage medium can be integrated into processor.Processor and storage medium can reside in ASIC.ASIC can be in the user terminal resident.In alternative, it is in the user terminal resident that processor and storage medium can be used as discrete assembly.
In one or more exemplary embodiment, described function can realize in hardware, software, firmware or its any combination.If be embodied as computer program in software, then each function can as one or more bar instruction or code storage on a computer-readable medium or mat its transmit.Computer-readable medium comprises computer-readable storage medium and communication media, and it comprises facilitates computer program from a ground to any medium that another ground shifts.Storage medium can be can by any usable medium of computer access.Exemplarily non-limiting, such computer-readable medium can comprise RAM, ROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage apparatus, maybe can be used to carry or store instruction or data structure form desirable program code and can by other medium any of computer access.Any connection is also properly termed a computer-readable medium.Such as, if software be use concentric cable, fiber optic cables, twisted-pair feeder, digital subscribe lines (DSL) or such as infrared, radio and microwave and so on wireless technology from web site, server or other remote source transmission, then this concentric cable, fiber optic cables, twisted-pair feeder, DSL or such as infrared, radio and microwave and so on wireless technology are just included among the definition of medium.Dish as used herein (disk) and dish (disc) comprise compact disc (CD), laser dish, laser disc, digital versatile dish (DVD), floppy disk and blu-ray disc, its mid-game (disk) is often with the mode rendering data of magnetic, and dish (disc) laser rendering data to be optically.Above-mentioned combination also should be included in the scope of computer-readable medium.
Thering is provided previous description of the present disclosure is for making any person skilled in the art all can make or use the disclosure.To be all apparent for a person skilled in the art to various amendment of the present disclosure, and generic principles as defined herein can be applied to other variants and can not depart from spirit or scope of the present disclosure.Thus, the disclosure not intended to be is defined to example described herein and design, but the widest scope consistent with principle disclosed herein and novel features should be awarded.
Claims (10)
1. an image analysis method for skin shine, comprising:
The digital picture of subjects skin is gathered under same light source condition;
Obtained skin image sets region to be analyzed;
Treat the frequency distribution that analyzed area calculates pixel;
The extraction conditions of high light part is set;
Calculate the pixel accounting of the high light part extracted according to the extraction conditions arranged, in this, as the index of skin shine.
2. the image analysis method of skin shine according to claim 1, is characterized in that, in the step of extraction conditions arranging high light part, determines high light part by the high photo threshold setting up the relative overall colour of skin.
3. the image analysis method of skin shine according to claim 2, is characterized in that, the formula of high photo threshold is as follows:
T＝P
max－R％*(P
max－P
most)，
Wherein T is high photo threshold, P
mostthe pixel value that on image, frequency is maximum, P
maxbe the max pixel value of image, R% is that high light part accounts for (P
max-P
most) part accounting.
4. the image analysis method of skin shine according to claim 3, is characterized in that, R value is increased income setting as required.
5. the image analysis method of skin shine according to claim 4, is characterized in that, the scope of R% is between 30% to 50%.
6. an image analysis apparatus for skin shine, comprising:
Image capture module, gathers the digital picture of subjects skin under same light source condition;
Analyzed area setting module, obtained skin image sets region to be analyzed;
Frequency distribution computing module, treats the frequency distribution that analyzed area calculates pixel;
Extraction conditions arranges module, arranges the extraction conditions of high light part;
High light pixel accounting computing module, calculates the pixel accounting of the high light part extracted according to the extraction conditions arranged, in this, as the index of skin shine.
7. the image analysis apparatus of skin shine according to claim 6, is characterized in that, extraction conditions arranges module and determines high light part by the high photo threshold setting up the relative overall colour of skin.
8. the image analysis apparatus of skin shine according to claim 7, is characterized in that, the formula of high photo threshold is as follows:
T＝P
max－R％*(P
max－P
most)，
Wherein T is high photo threshold, P
mostthe pixel value that on image, frequency is maximum, P
maxbe the max pixel value of image, R% is that high light part accounts for (P
max-P
most) part accounting.
9. the image analysis apparatus of skin shine according to claim 8, is characterized in that, R value is increased income setting as required.
10. the image analysis apparatus of skin shine according to claim 9, is characterized in that, the scope of R% is between 30% to 50%.
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| CN109414182A (en) * | 2016-06-27 | 2019-03-01 | 皇家飞利浦有限公司 | Device and method for the detection of skin gloss |
| CN110740679A (en) * | 2017-04-05 | 2020-01-31 | 皇家飞利浦有限公司 | Skin radiance measurement for quantitative estimation of skin radiance |
| 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 |
| CN112288722A (en) * | 2020-10-30 | 2021-01-29 | 浙江科技学院 | Method for testing pearl luster |
| CN113487562A (en) * | 2021-07-02 | 2021-10-08 | 北京美医医学技术研究院有限公司 | Skin glossiness detection system based on handheld device |
| CN113574564A (en) * | 2019-03-20 | 2021-10-29 | 学校法人庆应义塾 | Estimation method, estimation model generation method, program, and estimation device |
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