CN107303172A - A kind of method of quantitative analysis human body keratoderma moisture content change - Google Patents
A kind of method of quantitative analysis human body keratoderma moisture content change Download PDFInfo
- Publication number
- CN107303172A CN107303172A CN201610240797.1A CN201610240797A CN107303172A CN 107303172 A CN107303172 A CN 107303172A CN 201610240797 A CN201610240797 A CN 201610240797A CN 107303172 A CN107303172 A CN 107303172A
- Authority
- CN
- China
- Prior art keywords
- skin
- moisture content
- human body
- image
- different
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 35
- 230000008859 change Effects 0.000 title claims abstract description 34
- 206010020649 Hyperkeratosis Diseases 0.000 title claims abstract description 17
- 208000001126 Keratosis Diseases 0.000 title claims abstract description 17
- 238000004445 quantitative analysis Methods 0.000 title claims abstract description 10
- 210000003491 skin Anatomy 0.000 claims abstract description 70
- 210000002510 keratinocyte Anatomy 0.000 claims abstract description 17
- 238000011160 research Methods 0.000 abstract description 13
- 239000002537 cosmetic Substances 0.000 abstract description 4
- 230000000694 effects Effects 0.000 abstract description 4
- 230000036548 skin texture Effects 0.000 abstract description 2
- 238000007654 immersion Methods 0.000 description 20
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 11
- 238000012360 testing method Methods 0.000 description 10
- 238000004458 analytical method Methods 0.000 description 5
- 238000005259 measurement Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000001035 drying Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 239000013598 vector Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000001069 Raman spectroscopy Methods 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000037396 body weight Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 210000000245 forearm Anatomy 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000000265 homogenisation Methods 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000002791 soaking Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- 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
- A61B5/443—Evaluating skin constituents, e.g. elastin, melanin, water
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Veterinary Medicine (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Dermatology (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention relates to a kind of method of quantitative analysis human body keratoderma moisture content change, belong to human body skin texture studying technological domain.This method specifically includes following steps：S1：With picture of the Fingerprint sensor collection human body skins in the case of different in moisture content based on electric capacity；S2：Grey level enhancement is carried out to the skin image in the case of the human body different in moisture content collected with Fingerprint Sensor using histogram equalization, and then improves the contrast and definition of image；S3：With gray level co-occurrence matrixes algorithm, the energy of image, contrast, the change of entropy and correlative character parameter are calculated；S4：Set up the characteristic parameter and the relation of human skin keratinocyte's layer moisture content change of gray level co-occurrence matrixes.This method can provide good Technical Reference to the research of human skin keratinocyte's layer moisture, be that beautifying skin and effect cosmetic research field provide technical support.
Description
Technical field
The invention belongs to human body skin texture studying technological domain, it is related to a kind of method of quantitative analysis human body keratoderma moisture content change.
Background technology
Skin is one of important organ of human body, and such as the barrier of human body, it includes many critical functions.When the aesthetic standards of the mankind also stop visual experience on the surface, skin is become for a kind of important discrimination standard aesthetic in living.And the moisture of keratoderma be differentiate skin whether one of the major criterion of health, the skin low than water content, keratoderma moisture is high, then the state that water moistens gloss is presented in skin, can make one to seem very young, therefore, set up it is a set of scientifically, exactly, the problem of method of analysis human skin keratinocyte's layer moisture content change of simple and fast is beautifying skin and effect cosmetic research field urgent need to resolve and the important content of research.
Mainly there are two kinds to the method for discrimination of human skin keratinocyte's layer moisture at present：A kind of is that the most frequently used direct observation by naked eyes and hand touch to feel the change of moisture content of skin, it is this that method for distinguishing is sentenced by vision and tactile, it can be judged when significant change occurs for moisture, but when skin moisture content change is not apparent, serious limitation has been there is in the differentiation degree of accuracy and precision aspect；Another method, is by measuring instrument, for example：Raman Spectroscopy and Opto-Thermal Transient Emission Radiometry (OTTER) come pass through collect data analysis human skin keratinocyte layer moisture change, although this method is able to very big lifting than former approach in terms of the degree of accuracy, but corresponding data can only be measured, it is impossible to offer can intuitively show picture of the skin under different in moisture content.
The content of the invention
In view of this, it is an object of the invention to provide a kind of method of quantitative analysis human body keratoderma moisture content change, this method is used as survey tool using Fingerprint sensor first, analyses of the Fingerprint sensor not only to human skin keratinocyte's layer moisture is very accurate, but also picture of the skin in the case of different in moisture content can be provided, very intuitively scientific basis is provided to this research, simultaneously, the human body skin picture that this method also applies to gray level co-occurrence matrixes algorithm in the case of the different in moisture content that collects, it have found the method for judging human skin keratinocyte's layer moisture content change.
To reach above-mentioned purpose, the present invention provides following technical scheme：
A kind of method of quantitative analysis human body keratoderma moisture content change, this method comprises the following steps：
S1：Gather picture of the human body skin in the case of different in moisture content；
S2：Skin image in the case of the different in moisture content that collects is pre-processed；
S3：With gray level co-occurrence matrixes algorithm, the energy of image, contrast, the change of entropy and correlative character parameter are calculated；
S4：Set up the characteristic parameter and the relation of human skin keratinocyte's layer moisture content change of gray level co-occurrence matrixes.
Further, in step sl, picture of the human body skin in the case of different in moisture content is gathered with the Fingerprint sensor based on electric capacity, it is ensured that the accuracy of image.
Further, in step s 2, grey level enhancement is carried out to the skin image in the case of the human body different in moisture content collected with Fingerprint Sensor using histogram equalization, and then improves the contrast and definition of image.
The beneficial effects of the present invention are：The present invention gathers picture of the skin in the case of different in moisture content with the Fingerprint sensor based on electric capacity, this method simple and fast, with non-invasive, it is fool proof, analyses of the Fingerprint sensor not only to human skin keratinocyte's layer moisture is very accurate, but also picture of the skin in the case of different in moisture content can be provided, very intuitively scientific basis is provided to this research, simultaneously, gray level co-occurrence matrixes algorithm is also applied to the picture of the skin that collects in the case of different in moisture content by the present invention, by the energy for calculating image, contrast, the change of the characteristic parameter such as entropy and correlation, establish the characteristic parameter and the relation of human skin keratinocyte's layer moisture content change of gray level co-occurrence matrixes, research to human skin keratinocyte's layer moisture gives good Technical Reference, very strong technical support is also provided to beautifying skin and effect cosmetic research field.
Brief description of the drawings
In order that the purpose of the present invention, technical scheme and beneficial effect are clearer, the present invention provides drawings described below and illustrated：
Fig. 1 is the schematic flow sheet of the method for the invention；
Fig. 2 be two at different skin in picture not in the same time：A) without the skin B soaked) by the skin of immersion；
Fig. 3 is that the picture that extracts of different skin extracts the curve map of obtained four groups of different characteristics vector to it with gray level co-occurrence matrixes (control refers to the skin not soaked at two；Soaked skin fingering rows cross the skin of immersion test；(a) energy, (b) entropy, (c) contrast, (d) correlation).
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in detail.
Fig. 1 is the schematic flow sheet of the method for the invention, as illustrated, the method for the quantitative analysis human body keratoderma moisture content change that the present invention is provided specifically includes following steps：S1：With picture of the Fingerprint sensor collection human body skins in the case of different in moisture content based on electric capacity；S2：Grey level enhancement is carried out to the skin image in the case of the human body different in moisture content collected with Fingerprint Sensor using histogram equalization, and then improves the contrast and definition of image；S3：With gray level co-occurrence matrixes algorithm, the energy of image, contrast, the change of entropy and correlative character parameter are calculated；S4：Set up the characteristic parameter and the relation of human skin keratinocyte's layer moisture content change of gray level co-occurrence matrixes.
The method of the present invention is described in detail below by specific embodiment.
This method comes gathered data and picture first by Fingerprint Sensor.Fingerprint Sensor possess 256 × 300 picture element matrixs, and every spatial resolution of each pixel is 50 microns.Its region of measurement range altogether is 12.8 × 15 microns.Each pixel is inherently a capacitive sensing device.Capacitance sensor mainly generates the capacitance image of a skin surface, in every piece image, each pixel can be represented by 0-255 8 gray values, its measurement duration is all limited in 5s for all measurements, the present invention gathers picture of the skin in the case of different in moisture content with the Fingerprint sensor based on electric capacity, this method simple and fast, with non-invasive, it is fool proof, analyses of the Fingerprint sensor not only to human skin keratinocyte's layer moisture is very accurate, but also picture of the skin in the case of different in moisture content can be provided, very intuitively scientific basis is provided to this research.
In the present embodiment, choose a healthy female volunteers (Asian, 31 years old, about 112 jin of body weight) skin adjacent at left hand inner forearm two tested, skin at room temperature, is immersed in water 30 minutes, then dried at wherein one, another place's skin is always maintained at original state without immersion.With Fingerprint sensor skins at two respectively, while gathered data and picture, the time point of collection is respectively before immersion test starts, when skin is just dried after soaking 30 minutes, then continue at respectively 5,10 after drying, 15,20,30 minutes gathered datas and picture.
Fig. 2 is not carry out the skin of immersion and carried out the deeper place of color in the electric capacity gray scale picture that the skin of immersion test is collected at identical time point respectively with Fingerprint sensor, picture, illustrates that water content is higher.The picture contrast that different skin is collected at two was not as can be seen that carried out the skin of immersion, in whole experiment process, water content hardly changes, so identical state is presented in the picture collected in whole process substantially；And another place carried out the skin of immersion, before immersion, water content and close on the skin without immersion test of selection substantially close to, so the picture of skin is also almost identical at two, but after immersion test, the increase of keratoderma water content is obvious, so being reflected from picture, depth substantially increases, and the time afterwards, with the loss of moisture, moisture content of skin be gradually restored to again before state, picture also present and initially close to situation, so the picture collected can be very good reflection keratoderma moisture and and its situation of change.
Picture processing：
This method carries out grey level enhancement to the electric capacity gray level image collected with Fingerprint Sensor using histogram equalization first, and then improves its contrast and definition.Histogram equalization is turned to a kind of method of basic setting contrast, is often used in present research.General profit increases the local contrast of correspondence image in this way, particularly in image the contrast of useful data closely in the case of.By such a form, brightness on the histogram just has extraordinary distribution.Realize by this method strengthens local contrast on the premise of overall contrast is not influenceed, and same purpose just can be reached by the way that brightness is adjusted.The core content of histogram equalization processing is that the grey level histogram of original image from the somewhere gray scale interval of relative aggregation is replaced with being uniformly distributed under whole tonal ranges.Its specific implementation is to take image the mode of Nonlinear extension, so that by the sub-distribution again of its pixel value, the particular number of pixel will not change with grey scale change.Histogram equalization proposition be by the histogram set the goal become homogenization be distributed image provide possibility.
Then, gray level co-occurrence matrixes algorithm process picture is utilized.Fig. 3 is the curve map for extracting obtain four groups of different characteristics vectors to it with gray level co-occurrence matrixes to the picture that different skin at two is extracted, and is respectively：Energy, entropy, contrast and correlation.It can be seen that from curve map 3 (a) of first width on energy, the skin of immersion test was not carried out, water content is had almost no change, therefore the texture situation of skin is also kept approximately constant in whole experiment process, so a stable state of comparison is presented in energy value；And the skin that another place soaked, obvious downward trend is presented in energy value after immersion, because, with after immersion keratoderma moisture it is significantly raised, the uniformity coefficient reduction of the texture of skin intensity profile from picture, and energy is the measurement to picture intensity profile homogeneity, picture intensity profile is uniform, then energy value is high, conversely, intensity profile is uneven, then energy value is low, so the picture before relative immersion, the uniformity coefficient reduction of the picture intensity profile of dermatoglyph after immersion, energy value declines；After immersion test, with the gradually volatilization of moisture of skin, obtained energy value is finally being measured also substantially with just starting measurement, i.e., the energy value of skin is approximate before not soaked.Additionally need and point out, it is can be found that from the skin energy curve figure for carrying out immersion test, just complete after immersion test, the energy value of skin is in notable downward trend with the obvious increase of moisture of skin, the 5th minute after drying afterwards, energy value has an apparent increase again, although it can be seen that the skin of this testee obtains the very capable of moisture, but the water loss speed of this testee's skin is also quickly, only 5 minutes, the most moisture for just absorbing just is lost, illustrates that the skin water lock ability of this testee is poor.
Fig. 3 (b) is the situation of the changes of entropy of test position at two, the relation that entropy and energy are inversely proportional, so from curve map, opposite value and variation tendency is presented with the first width figure.After skin immersion, the contrast of texture picture declines, so embodying contrast from Fig. 3 (c) after steeping into significantly declining, afterwards in the trend of rising, opposite variable condition is also presented with contrast for the change of Fig. 3 (d) correlations.In other respects, entropy, contrast, correlation can be very good to embody keratoderma moisture also as energy, and change with keratoderma moisture and the water lock ability of skin are set up and contacted.
In summary：The present invention gathers picture of the skin in the case of different in moisture content with the Fingerprint sensor based on electric capacity, this method simple and fast, with non-invasive, it is fool proof, analyses of the Fingerprint sensor not only to human skin keratinocyte's layer moisture is very accurate, but also picture of the skin in the case of different in moisture content can be provided, very intuitively scientific basis is provided to this research, simultaneously, gray level co-occurrence matrixes algorithm is also applied to the picture of the skin that collects in the case of different in moisture content by the present invention, by the energy for calculating image, contrast, the change of the characteristic parameter such as entropy and correlation, establish the characteristic parameter and the relation of human skin keratinocyte's layer moisture content change of gray level co-occurrence matrixes, research to human skin keratinocyte's layer moisture gives good Technical Reference, very strong technical support is also provided to beautifying skin and effect cosmetic research field.
What is finally illustrated is, preferred embodiment above is merely illustrative of the technical solution of the present invention and unrestricted, although the present invention is described in detail by above preferred embodiment, but it should be understood by those skilled in the art that, various changes can be made to it in the form and details, without departing from claims of the present invention limited range.
Claims (3)
1. a kind of method of quantitative analysis human body keratoderma moisture content change, it is characterised in that：This method includes following step
Suddenly：
S1：Gather picture of the human body skin in the case of different in moisture content；
S2：Skin image in the case of the different in moisture content that collects is pre-processed；
S3：With gray level co-occurrence matrixes algorithm, the energy of image, contrast, the change of entropy and correlative character parameter are calculated；
S4：Set up the characteristic parameter and the relation of human skin keratinocyte's layer moisture content change of gray level co-occurrence matrixes.
2. a kind of method of quantitative analysis human body keratoderma moisture content change according to claim 1, its feature exists
In：In step sl, human body skin is gathered in different in moisture content situation with the Fingerprint sensor based on electric capacity
Under picture, it is ensured that the accuracy of image.
3. a kind of method of quantitative analysis human body keratoderma moisture content change according to claim 1, its feature exists
In：In step s 2, the human body different in moisture collected with Fingerprint Sensor is contained using histogram equalization
Skin image in the case of amount carries out grey level enhancement, and then improves the contrast and definition of image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610240797.1A CN107303172A (en) | 2016-04-18 | 2016-04-18 | A kind of method of quantitative analysis human body keratoderma moisture content change |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610240797.1A CN107303172A (en) | 2016-04-18 | 2016-04-18 | A kind of method of quantitative analysis human body keratoderma moisture content change |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107303172A true CN107303172A (en) | 2017-10-31 |
Family
ID=60152100
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610240797.1A Pending CN107303172A (en) | 2016-04-18 | 2016-04-18 | A kind of method of quantitative analysis human body keratoderma moisture content change |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107303172A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112932415A (en) * | 2021-03-17 | 2021-06-11 | 上海交通大学医学院附属上海儿童医学中心 | Premature infant skin moisture analysis method and system |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102036607A (en) * | 2008-05-23 | 2011-04-27 | 宝丽化学工业有限公司 | Method for automatically judging skin texture and/or crease |
-
2016
- 2016-04-18 CN CN201610240797.1A patent/CN107303172A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102036607A (en) * | 2008-05-23 | 2011-04-27 | 宝丽化学工业有限公司 | Method for automatically judging skin texture and/or crease |
Non-Patent Citations (1)
| Title |
|---|
| 许舒斐 等: "基于灰度共生矩阵的人体皮肤纹理分析", 《激光生物学报》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112932415A (en) * | 2021-03-17 | 2021-06-11 | 上海交通大学医学院附属上海儿童医学中心 | Premature infant skin moisture analysis method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Leveque et al. | SkinChip®, a new tool for investigating the skin surface in vivo | |
| Passoni et al. | Dynamic speckle processing using wavelets based entropy | |
| Tabelow et al. | Analyzing fMRI experiments with structural adaptive smoothing procedures | |
| US7336810B2 (en) | Skin evaluation method and image simulation method | |
| Gefen et al. | The subepidermal moisture scanner: the technology explained | |
| Batisse et al. | Capacitance imaging of the skin surface | |
| CN105869171A (en) | Method for quantitatively analyzing human skin line aging | |
| Williams et al. | Tissue sensing adaptive radar for breast cancer detection-investigations of an improved skin-sensing method | |
| Irishina et al. | Microwave imaging for early breast cancer detection using a shape-based strategy | |
| Manousaki et al. | Use of color texture in determining the nature of melanocytic skin lesions—a qualitative and quantitative approach | |
| CN114577671A (en) | Near-infrared wood density detection method based on parameter correction and transfer learning | |
| Zhang et al. | In-vivo skin capacitive image classification using AlexNet convolution neural network | |
| Haijun et al. | Predicting sandy soil moisture content with hyperspectral imaging | |
| CN107303172A (en) | A kind of method of quantitative analysis human body keratoderma moisture content change | |
| Saleah et al. | Optical signal intensity incorporated rice seed cultivar classification using optical coherence tomography | |
| CN117379005B (en) | Skin detection control method, device, equipment and storage medium of beauty instrument | |
| Simić et al. | Non-iterative parameter estimation of the 2R-1C model suitable for low-cost embedded hardware | |
| Minghao et al. | Skin Roughness Evaluation Method Based on gray level co-occurrence matrix | |
| CN111150395A (en) | Self-adaptive blood glucose measuring method based on bioelectrical impedance | |
| CN104720813B (en) | Obtaining method of standard color atla for representing complexion and application of obtaining method | |
| CN116077030A (en) | Skin evaluation method based on skin component volume content | |
| CN109949279A (en) | A kind of Analysis of age system based on skin image | |
| KR20200121692A (en) | Method and apparatus for estimating age of skin | |
| CN113143275B (en) | Electroencephalogram fatigue detection method for quantitative evaluation of sample and characteristic quality in combined manner | |
| KR20150117074A (en) | Apparatus and Method for skin condition diagnosis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20171031 |
|
| WD01 | Invention patent application deemed withdrawn after publication |