EP3583607A1 - Procédé et dispositif permettant de déterminer une homogénéité de couleur de peau - Google Patents

Procédé et dispositif permettant de déterminer une homogénéité de couleur de peau

Info

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
Application number
EP18706686.5A
Other languages
German (de)
English (en)
Inventor
Andreas Bock
Georg KNÜBEL
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Henkel AG and Co KGaA
Original Assignee
Henkel AG and Co KGaA
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Henkel AG and Co KGaA filed Critical Henkel AG and Co KGaA
Publication of EP3583607A1 publication Critical patent/EP3583607A1/fr
Pending legal-status Critical Current

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.

Landscapes

  • 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)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Dermatology (AREA)
  • Quality & Reliability (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

Selon divers modes de réalisation illustratifs, l'invention concerne un procédé permettant de déterminer une homogénéité de couleur de peau. Ce procédé peut consister à fournir une image numérique sur laquelle la peau est représentée et qui est paramétrée dans un espace chromatique défini au moyen d'un ensemble de paramètres dont l'un des paramètres est une nuance de couleur, à déterminer et/ou à définir au moins une zone d'examen de la peau dans l'image transformée, à déterminer une distribution de nuances de couleur dans l'au moins une zone d'examen de la peau, et à déterminer au moins une valeur d'homogénéité de la couleur de peau sur la base de la distribution de nuances de couleur déterminée.
EP18706686.5A 2017-02-20 2018-02-14 Procédé et dispositif permettant de déterminer une homogénéité de couleur de peau Pending EP3583607A1 (fr)

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 (fr) 2017-02-20 2018-02-14 Procédé et dispositif permettant de déterminer une homogénéité de couleur de peau

Publications (1)

Publication Number Publication Date
EP3583607A1 true EP3583607A1 (fr) 2019-12-25

Family

ID=61258206

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18706686.5A Pending EP3583607A1 (fr) 2017-02-20 2018-02-14 Procédé et dispositif permettant de déterminer une homogénéité de couleur de peau

Country Status (4)

Country Link
US (1) US11568569B2 (fr)
EP (1) EP3583607A1 (fr)
DE (1) DE102017202702A1 (fr)
WO (1) WO2018149874A1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
MA51643B1 (fr) * 2018-11-07 2022-09-30 Hoffmann La Roche Procédés et dispositifs pour effectuer une mesure analytique
US11100639B2 (en) * 2018-12-11 2021-08-24 H-Skin Aesthetics Co., Ltd. Method for skin examination based on RBX color-space transformation

Family Cites Families (13)

* Cited by examiner, † Cited by third party
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 (fr) * 2007-01-05 2010-08-19 Myskin, Inc. Procédés d'analyse de la peau
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

Also Published As

Publication number Publication date
US11568569B2 (en) 2023-01-31
US20210358172A1 (en) 2021-11-18
DE102017202702A1 (de) 2018-08-23
WO2018149874A1 (fr) 2018-08-23

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