EP3583607A1 - Verfahren und einrichtung zum ermitteln einer homogenität von hautfarbe - Google Patents
Verfahren und einrichtung zum ermitteln einer homogenität von hautfarbeInfo
- Publication number
- EP3583607A1 EP3583607A1 EP18706686.5A EP18706686A EP3583607A1 EP 3583607 A1 EP3583607 A1 EP 3583607A1 EP 18706686 A EP18706686 A EP 18706686A EP 3583607 A1 EP3583607 A1 EP 3583607A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- skin
- color
- determining
- homogeneity
- various embodiments
- 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
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- 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
-
- 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
- A61B5/44—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
- A61B5/444—Evaluating skin marks, e.g. mole, nevi, tumour, scar
-
- 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
- A61B5/445—Evaluating skin irritation or skin trauma, e.g. rash, eczema, wound, bed sore
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4848—Monitoring or testing the effects of treatment, e.g. of medication
-
- 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
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/12—Healthy persons not otherwise provided for, e.g. subjects of a marketing survey
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2576/00—Medical imaging apparatus involving image processing or analysis
- A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
- A61B5/004—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room adapted for image acquisition of a particular organ or body part
-
- 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
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
-
- 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
-
- 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
- G06T2207/30004—Biomedical image processing
- G06T2207/30088—Skin; Dermal
Definitions
- the individual skin treatment instruction may include recommending care and / or cleansing products with green pigments that optically neutralize redness.
- literature data may be used to assess suitability of a care product and / or a care indication for maintaining a skin having a given skin color homogeneity.
- efficacy of (e.g., cosmetic) treatment may be better understood, thereby facilitating or facilitating selection of an individually suitable product.
- a booking process can be initiated directly via the software / app, which determines the homogeneity of the skin color.
- the contact details of dermatologists and / or cosmeticians can be stored in the software / app and these are displayed to the user.
- the selection can be restricted via filters, such as the postal code.
- an appointment booking can be made directly via the software / app. Alternatively, the booking of a Dermatologist appointments and / or a cosmetic appointment via a separate software / App, such as Treatwell done.
- a first object of the invention is a method for determining a homogeneity of skin color, comprising:
- a digital image can be understood here to mean a data packet which can be represented by a data processing system as a two-dimensional arrangement of pixels (also referred to as pixels), for example in a coordinate system which has an x-axis and a y-axis each pixel has at least one image position as an x, y coordinate pair and intensity information, wherein the intensity information can be represented, for example, as the color of a pixel of a monitor or a printed dot of a printed image.
- the digital image may be, for example, a photograph taken with a digital camera or a still image of a video sequence recorded with a digital camera.
- color herein is meant co-operation of a hue (ie, a spectral color impression, also called a hue or, from English, hue, which can be understood as what is considered the “true color”), a color intensity (ie how intense the color appears, eg compared to a neutral gray, which is also called saturation, color saturation, chroma, chroma, depth of color or, from English, saturation) and a brightness or darkness (ie light or dark the color appears).
- a hue ie, a spectral color impression, also called a hue or, from English, hue, which can be understood as what is considered the "true color”
- a color intensity ie how intense the color appears, eg compared to a neutral gray, which is also called saturation, color saturation, chroma, chroma, depth of color or, from English, saturation
- a brightness or darkness ie light or dark the color appears.
- the color can be parameterized in a color space.
- RGB parmetrized in red, green, blue
- CIELUV the color is parameterized here in a uv plane
- an additive light color which is used, for example, in monitors for example, the L * a * b * color space, or a CMYK color space, which, based on a subtractive color model, is applied in particular in a multi-color printing area and colors in basic printing colors corresponding to four color channels cyan, magenta, yellow and yellow Black (color depth, key) parameterized.
- the distribution of hue values may be used to determine at least one color homogeneity value.
- Statistical examination methods can be used to determine, for example, a standard deviation, also referred to as confidence interval d, a circular variance S and / or an angular deviation s of the color tone distribution.
- a circular statistic can be applied.
- circular statistics may help to avoid inhomogeneities in a transition from 359 ° to 0 ° (such inhomogeneities would result in an average of 10 ° and 350 ° of 180 ° instead of the normal linear statistical method) reasonable value of 0 °).
- unit vectors may be averaged in various embodiments:
- the mean angle ⁇ c From the averaged vector, the mean angle ⁇ c, optionally specifying a confidence interval, e.g. of a 95% inverse tangent function by conversion using the four quadrants.
- a confidence interval e.g. of a 95% inverse tangent function by conversion using the four quadrants.
- a circular variance As a measure of the color homogeneity can in various embodiments, a circular variance
- the circular statistics may be performed by any suitable software, for example by means of proprietary software, e.g. an app, or for example by means of existing software packages, e.g. Oriana or the EXCEL tool EZ-Rose.
- a skin imaging area can be determined, i. an area in which skin is imaged.
- the known method may, for example, comprise a release method, as e.g. can be used in Photoshop and other software packages.
- the skin presentation area may include a plurality of pixels of a digital image that depict the skin and that may form a contiguous or multi-surface area.
- a plane in which the skin region can be arranged can be determined, for example, by the x-axis and the y-axis of the digital image.
- the skin examination area may include a portion of the skin presentation area.
- the skin examination area may have any shape, for example, the skin examination area may also be triangular, polygonal, with a vertex number other than three or four, elliptical, round, or any other than rectangular (e.g., square).
- the skin examination area may have the entire skin imaging area.
- the skin examination area in which the skin examination area has the entire skin presentation area, can have a mono- or multi-part area which is suitable for a subsequent analysis, eg for determining a skin area Value for a proportion of linear areas and / or for a distribution of linear areas, even in the case of multi-part area can be examined as a single skin examination area.
- the at least one skin examination area may include a plurality of skin examination areas.
- each of the plurality of skin examination areas are examined separately, i.
- the value for the homogeneity of the skin color can be determined separately.
- the homogeneity of skin color may be determined as a function of time, for example, a temporal change in color homogeneity may be determined, for example, at certain intervals after a care and / or cleaning treatment or the like.
- the tint channel may be displayed, for example to a user, for example using a display, e.g. a display.
- the hue, with the other channels can be transformed back into a color space suitable for the display (eg RGB for a display or CMYK for a printer), so that possibly only the hue differences a different representation of different pixels but can give a realistic picture of the color tones and the distances of the different hues.
- a color space suitable for the display eg RGB for a display or CMYK for a printer
- the different shades of the hue channel may be assigned different shades that do not match the hues determined.
- the hues determined may be assigned different shades that do not match the hues determined.
- HSL color space (also referred to as HLS) may have the parameters hue (also referred to as color angle) H, color saturation S and color brightness L.
- hue also referred to as color angle
- color saturation S In contrast to the HSV color space, however, it can be related to the gray point between white and black as neutral gray.
- the color body can be represented as a double cone, cylinder or six-sided prism.
- the hues (color values) can be outside, and the gray dot in the middle.
- the CIE LCh ° model can be similarly constructed with color brightness L, color saturation (chroma) C and the hue (hue) angle h °, so that it can to a certain extent correspond to a Lab color space represented in cylindrical coordinates.
- H can stand for hue (hue) and S for saturation.
- S for saturation.
- the difference may relate to the third coordinate: on the one hand HSB with the radiation magnitude of the brightness, e.g. the absolute brightness, B, on the other hand as HSI color model with the light intensity I.
- the device for determining a homogeneity of skin color may comprise a data processing device.
- the data processing device may include, for example, a computer, a tablet, a smartphone, a laptop, or any other computing device capable of performing the method of determining skin color homogeneity according to various embodiments.
- the data processing device may comprise a processor, for example a microprocessor.
- the device for determining a homogeneity of skin color may comprise a display device.
- the display device may include a screen of a smartphone, a desktop computer, a laptop, or other device for determining skin color homogeneity.
- the display device may be used to present results of the procedure for determining skin color homogeneity or the individual skin treatment instruction, requesting input parameters for performing the method, or the like.
- the results of the method for determining a homogeneity of skin color or the individual skin treatment instruction may be represented by voice output.
- input parameters for executing the method by means of voice input can be supplied to the method.
- the voice input can be made via a microphone and the voice output can be via a loudspeaker.
- the results of the method for determining a homogeneity of skin color, in particular the homogeneity value can be given in the form of a quantitative measure. This can be for example a percentage or a dimensionless number.
- the display device may be connected to the data processing device by means of a first data connection.
- the display device can exchange data with the data processing device by means of the first data connection.
- the device for determining a homogeneity of skin color is a smartphone, a tablet, or the like.
- the display device and the first data connection can be integrated in the device.
- the apparatus for determining a homogeneity of skin color may comprise a camera.
- the camera may be configured in accordance with various embodiments to obtain a digital image of skin, e.g. from a user's skin.
- the at least one camera may, according to various embodiments, be a digital still camera or a video camera, i. a camera that may be configured to record a plurality of frames as a time series.
- the apparatus for determining skin color homogeneity may include a second data connection between the computer and the camera.
- data can be transmitted from the computer to the camera, for example for a, e.g. conventional, software control of the camera.
- data for example the digital image (s) recorded by the camera, can be transmitted to the computer.
- the device for determining a homogeneity of skin color is a smartphone, a tablet, or the like.
- the camera and the second data connection may be integrated in the apparatus for determining a homogeneity of skin color.
- the device for determining a homogeneity of skin color on a camera can be dispensed with, for example, if the data processing device is provided with the digital image in another way, for example by means of a data transmission.
- the data processing device may be configured, for example using a processor, to process the image received from the camera or otherwise by means of image processing software, for example in the manner known in the art received image to determine the skin presentation area and, as described above for various embodiments, to determine the homogeneity of skin color.
- image processing software may include an app in various embodiments.
- the data processing device may include an input device for providing information to the data processing device, such as a keyboard, a mouse, a touch-sensitive surface of the display device, or the like.
- the input device may be connected to the data processing device by means of a third data connection.
- the input device may communicate with the data processing device via the third data connection.
- the device for determining a homogeneity of skin color is a smartphone, a tablet, or the like.
- the input device and the third data connection may be integrated in the device for determining a homogeneity of skin color.
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- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Biophysics (AREA)
- Heart & Thoracic Surgery (AREA)
- Veterinary Medicine (AREA)
- Animal Behavior & Ethology (AREA)
- Surgery (AREA)
- Molecular Biology (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Dermatology (AREA)
- Quality & Reliability (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102017202702.9A DE102017202702A1 (de) | 2017-02-20 | 2017-02-20 | Verfahren und Einrichtung zum Ermitteln einer Homogenität von Hautfarbe |
PCT/EP2018/053673 WO2018149874A1 (de) | 2017-02-20 | 2018-02-14 | Verfahren und einrichtung zum ermitteln einer homogenität von hautfarbe |
Publications (1)
Publication Number | Publication Date |
---|---|
EP3583607A1 true EP3583607A1 (de) | 2019-12-25 |
Family
ID=61258206
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP18706686.5A Pending EP3583607A1 (de) | 2017-02-20 | 2018-02-14 | Verfahren und einrichtung zum ermitteln einer homogenität von hautfarbe |
Country Status (4)
Country | Link |
---|---|
US (1) | US11568569B2 (de) |
EP (1) | EP3583607A1 (de) |
DE (1) | DE102017202702A1 (de) |
WO (1) | WO2018149874A1 (de) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3651162B1 (de) * | 2018-11-07 | 2022-06-22 | Roche Diabetes Care GmbH | Verfahren und vorrichtungen zur durchführung einer analytischen messung |
TWI745796B (zh) * | 2018-12-11 | 2021-11-11 | 孟晶企業有限公司 | 基於rbx影像分色所進行的皮膚檢測方法 |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20020031630A (ko) | 2000-10-20 | 2002-05-03 | 구자홍 | 칼라 왜곡 정보를 이용한 얼굴 영역 추출 방법 |
US7233693B2 (en) * | 2003-04-29 | 2007-06-19 | Inforward, Inc. | Methods and systems for computer analysis of skin image |
JP2005293555A (ja) * | 2004-03-10 | 2005-10-20 | Seiko Epson Corp | 画像における肌領域の特定 |
JP4328286B2 (ja) * | 2004-12-14 | 2009-09-09 | 本田技研工業株式会社 | 顔領域推定装置、顔領域推定方法及び顔領域推定プログラム |
US20070058858A1 (en) * | 2005-09-09 | 2007-03-15 | Michael Harville | Method and system for recommending a product based upon skin color estimated from an image |
US7454046B2 (en) | 2005-09-20 | 2008-11-18 | Brightex Bio-Photonics, Llc | Method and system for analyzing skin conditions using digital images |
FR2891641B1 (fr) | 2005-10-04 | 2007-12-21 | Lvmh Rech | Procede et appareil de caracterisation des imperfections de la peau et procede d'appreciation de l'effet anti-vieillissement d'un produit cosmetique. |
WO2010093503A2 (en) * | 2007-01-05 | 2010-08-19 | Myskin, Inc. | Skin analysis methods |
JP4831259B1 (ja) | 2011-03-10 | 2011-12-07 | オムロン株式会社 | 画像処理装置、画像処理方法、および制御プログラム |
US9256963B2 (en) | 2013-04-09 | 2016-02-09 | Elc Management Llc | Skin diagnostic and image processing systems, apparatus and articles |
JP2018049564A (ja) * | 2016-09-23 | 2018-03-29 | カシオ計算機株式会社 | 検出装置、及び検出方法 |
FR3058818A1 (fr) * | 2016-11-17 | 2018-05-18 | Stmicroelectronics Sa | Procede d'augmentation de la saturation d'une image, et dispositif correspondant. |
JP2018112777A (ja) * | 2017-01-06 | 2018-07-19 | 富士通株式会社 | 推奨アイテム出力プログラム、出力制御プログラム、推奨アイテム出力装置、出力制御装置、推奨アイテム出力方法および出力制御方法 |
-
2017
- 2017-02-20 DE DE102017202702.9A patent/DE102017202702A1/de active Pending
-
2018
- 2018-02-14 EP EP18706686.5A patent/EP3583607A1/de active Pending
- 2018-02-14 US US16/481,921 patent/US11568569B2/en active Active
- 2018-02-14 WO PCT/EP2018/053673 patent/WO2018149874A1/de active Application Filing
Also Published As
Publication number | Publication date |
---|---|
US20210358172A1 (en) | 2021-11-18 |
WO2018149874A1 (de) | 2018-08-23 |
DE102017202702A1 (de) | 2018-08-23 |
US11568569B2 (en) | 2023-01-31 |
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