Classifications

• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/40—Analysis of texture
  • G06T7/41—Analysis of texture based on statistical description of texture
  • G06T7/44—Analysis of texture based on statistical description of texture using image operators, e.g. filters, edge density metrics or local histograms
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/60—Analysis of geometric attributes
• • A—HUMAN NECESSITIES
  • A45—HAND OR TRAVELLING ARTICLES
  • A45D—HAIRDRESSING OR SHAVING EQUIPMENT; EQUIPMENT FOR COSMETICS OR COSMETIC TREATMENTS, e.g. FOR MANICURING OR PEDICURING
  • A45D44/00—Other cosmetic or toiletry articles, e.g. for hairdressers' rooms
• • G—PHYSICS
  • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
  • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
  • G09B19/00—Teaching not covered by other main groups of this subclass
• • A—HUMAN NECESSITIES
  • A45—HAND OR TRAVELLING ARTICLES
  • A45D—HAIRDRESSING OR SHAVING EQUIPMENT; EQUIPMENT FOR COSMETICS OR COSMETIC TREATMENTS, e.g. FOR MANICURING OR PEDICURING
  • A45D44/00—Other cosmetic or toiletry articles, e.g. for hairdressers' rooms
  • A45D2044/007—Devices for determining the condition of hair or skin or for selecting the appropriate cosmetic or hair treatment
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/20—Special algorithmic details
  • G06T2207/20092—Interactive image processing based on input by user
  • G06T2207/20104—Interactive definition of region of interest [ROI]
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/30—Subject of image; Context of image processing
  • G06T2207/30196—Human being; Person

Definitions

• the invention relates to a method and a device for determining a smoothness value of a hairstyle.
• Smoothing of hair may be an important cosmetic goal, which may be achievable by several different methods. Conversely, curling or curling may also be a goal.
• Such methods include, for example, applying non-reactive hair care products for hair straightening, e.g. of products intended to be left on the hair, also referred to as a leave-on product (for example, a so-called conditioner), and / or products intended to be released from the hair after use to remove, eg to rinse, such as a hair cure.
• a leave-on product for example, a so-called conditioner
• hair straightening hairdressing equipment such as flat iron, can be applied.
• An evaluation of a smoothing result, and possibly also a smoothness of the hair to be smoothed, has hitherto been either subjective, ie, the hair is examined after the smoothing (and possibly also before) and evaluated to see whether a satisfactory smoothing has been achieved , or indirectly by applying surrogate methods.
• a surrogate method for example, a combability of the hair can be determined, which can indirectly provide conclusions about a smoothness of the hair.
• Such a determination of the (eg quantified) combability can be carried out relatively laboriously in a laboratory, but is not suitable for an end user, nor is it usable by means of a mobile application. There is thus a need for a quantitative assessment of a smoothness of hair, such as a hairstyle. Furthermore, it would be desirable to have a simple applicability without or with only a low expenditure on equipment, so that the smoothness of the hair can also be determined, for example, by a user.
• a method which makes it possible to determine, for example, a smoothness of hairstyles precisely as a target parameter of an image processing method (for image processing, the English term "image analysis" is also used).
• the method can be carried out with little or no expenditure on equipment.
• the method can be executed by means of an app on a tablet or a smartphone. This may, for example, allow a user, even without professional assistance and without having to provide a hair sample for manipulation, to determine the smoothness value of his hairstyle using, for example, a smartphone or tablet to capture a digital image of the hairstyle and determine the smoothness value of the smartphone / tablet, wherein the smartphone / tablet can be used in various embodiments to the image of an external data processing device, eg a cloud to provide and receive the results found there and display to the user.
• an external data processing device eg a cloud
• a method for determining a smoothness value of a hairstyle may comprise determining and / or defining at least one hair examination region in a digital image in which hairs are imaged, determining hair courses of the hairs imaged in the at least one hair examination region, wherein the hair paths of all the hairs depicted in the hair examination region form a totality of hair courses, determining a main direction of the hair courses and determining the smoothness value of the hair style based on the main direction of the hair courses and the totality of the hair courses.
• determining the smoothness value of the hairstyle based on the main direction of the hair courses and the entirety of the hair courses can comprise determining a coherence using a structure tensor and / or determining a dispersion of an angular distribution of the entirety of the hair courses.
• determining or determining at least one hair examining area may include setting the at least one hair examining area by a user.
• setting the at least one hair examining area by the user may include determining the position and / or shape and / or size of the hair examining area.
• determining or determining at least one hair examination area may include determining a hair display area in which the hairs are imaged in the digital image and determining at least a portion of the hair display area as the at least one hair examining area.
• the at least one hair examination area can have the entire hair display area.
• the at least one hair examination area may have a plurality of hair examination areas.
• the plurality of hair examination areas may differ from each other in their midpoint position.
• the plurality of hair examination areas may differ in size from each other.
• the plurality of hair examination areas may have a common midpoint position.
• the method may further include relating the determined smoothness values of the hairstyle to the midpoint positions of the hair examining areas.
• the method may further include relating the determined smoothness values of the hairstyle to the sizes of the hair examining areas.
• the method may further comprise displaying the determined result.
• a device for determining a smoothness of hairstyles may include a data processing device and a display device, wherein the device may be configured to perform one of the above methods.
• Embodiments of the invention are illustrated in the figures and are explained in more detail below.
• Figures 1A and 1B are images of differently smooth hairs for use in a method of determining a smoothness value of a hairstyle according to various embodiments;
• FIGS. 2A and 2B are graphs showing results of the method of determining a smoothness value of a hairstyle according to various embodiments
• FIGS. 3A and 3B are tables showing results of the method of determining a smoothness value of a hairstyle according to various embodiments
• 4A and 4B are each a graphical representation illustrating a method for determining a smoothness value of a hairstyle according to various embodiments
• Figures 4C to 4H are images of differently smooth hairs for use in a method of determining a smoothness value of a hairstyle according to various embodiments
• FIG. 5 is a flowchart of a method for determining a smoothness value of a hairstyle according to various embodiments.
• Figure 6 is a graphical representation of an apparatus for determining a smoothness value of a hairstyle according to various embodiments.
• 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 intensity information may refer to individual color channels in a color 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.
• FIG. 1A and FIG. 1B show images 100 of differently smooth hairs for use in a method of determining a smoothness of hairstyles according to various embodiments.
• FIG. 1A shows an illustration of a digital image 100a of curly hair 102
• FIG. 1B is a picture of a digital image 100b of straight hair 102.
• image processing techniques may be applied to each of the images in various embodiments.
• the image 100a which shows the (in this case, curly) hair 102, may be provided digitally.
• the digital image 100a may be provided, for example, to a data processing device.
• At least one hair examination area B100 may be determined in the image 100a.
• the hair examination area B100 substantially the entire area of the digital image 100, 100a, 100b and is rectangular, eg square shaped. In various embodiments, the hair examination area B100 may include a portion of the hair display area.
• the digital image 100 may have, in addition to the hair display area, further display areas in which, for example, objects, body parts, etc. may be represented.
• the hair examination area B100 can be selected in various embodiments so that no part of the other display areas falls into the hair examination area B100.
• the hair examining area B100 may have any shape, for example, the hair examining area B100 may be rectangular, triangular, polygonal with a number of vertices other than three or four, elliptical, round, or any other shapes.
• the hair examination area B100 can have the entire area shown in the digital image 100, in which hair 102 (eg, main hair, for example without eyebrows, beard, etc.) is depicted (also referred to as hair display area.)
• the hair display area can be a plurality of pixels of a digital image
• a plane in which the hair region may be arranged may be, for example, the x-axis and the y-axis of the digital image be determined.
• the hair examination area B100 may have a one-part or multi-part area which is suitable for subsequent analysis, e.g. for determining a value for a proportion of linear areas and / or for a distribution of linear areas, even in the case of the multipart area as a single hair examination area B100 can be examined.
• the at least one hair examining area B100 may include a plurality of hair examining areas B100, for example, see FIG. 4A the hair examination areas B100_1, B100_2 or in FIG. 4B the hair examination areas B100_3, B100_4.
• each of the plurality of hair examination regions B100_1, B100_2 or B100_3, B100_4 can be examined separately, ie for each of the For a plurality of hair examination areas B100_1, B100_2 or B100_3, B100_4, the value for a proportion of linear areas and / or for a distribution of linear areas can be determined separately.
• determining the at least one hair examining area B100 may include determining the hair depicting area and setting the at least one hair examining area B100.
• setting the at least one hair examining area B100 may mean that, as described above, the entire hair display area is set as the hair examining area B100, and / or one or more hair examining area (s) B100, for example, automated by means of the data processing device, eg including predetermined ones Conditions to be set.
• a size and / or number of the hair examination areas B100 can be predetermined, for example by means of a user, and the hair examination areas B100 can then be determined automatically, for example by means of suitable software, for example in such a way that the hair display area is maintained between the hair examination areas B100 Covered as evenly as possible, or similar.
• hair courses of the hairs 102 depicted therein can be determined for the at least one hair examination area B100, wherein the hair courses of all the hairs depicted in the hair examination area can form an entirety of the hair courses.
• an edge detection in the hair examination area B100 in which pixels have a respectively assigned intensity value at a location determined by image coordinates x, y, can be carried out to determine the hair courses.
• edge detection in which regions are detected in which along a direction in the hair examination area for the pixels arranged along this direction, the respective assigned intensity value drops sharply or increases (eg, stronger than a predetermined limit value), known methods, for example using a first derivative of the position-dependent intensity values.
• the hair courses of the hair 102 in the hair examination area B100 can be determined in different directions.
• a weighted inner product of two functions f, g, each dependent on the image coordinates x, y, can be represented by: where w (x, y)> 0 is a weighting function describing the hair examination area B100. The center of the hair examination area may be at (xo, yo).
• Vfe y « 5 v / ( i, y ) , 0)
• V / (x, y) is the gradient of the viewed image.
• the main direction ⁇ ⁇ also referred to as orientation
• main direction ⁇ ⁇ per se may not be relevant in various embodiments, for example because it depends on how the hairstyle (or hairs 102) are arranged with respect to the x and y coordinates, it should be noted that in a conventional counting mode, point 0 ° east / right and count an angle counterclockwise.
• a coherence can descriptively describe a measure of how strong a dominance of the main direction is (for example, the coherence can be 1, if a mapped plurality individual structures (here: individual hair) has a dominant main direction, and 0 in a case of an isotropic distribution of the plurality of individual structures (eg the individual hair).
• the coherence C can be determined from:
• straight hair which may be substantially parallel to each other, as shown for example in FIG. 1 B, and / or in which the courses of the individual hairs have only small angular differences from one another, for example less than 30 °, e.g. less than 20 °, e.g. less than 10 °, e.g. less than 5 °, may have a high coherence value, for example greater than 0.5, e.g. greater than 0.6, e.g. greater than 0.7, e.g. greater than 0.8, e.g. greater than 0.9, e.g. near 1, whereas curly hair, as shown in FIG.
• 1A and / or in which the courses of the individual hair have large angular differences from each other may have a low coherence value, for example less than 0.5, e.g. less than 0.4, e.g. less than 0.3, e.g. less than 0.2, e.g. less than 0, 1, e.g. near 0
• the determined coherence which can relate the entirety of the hair courses to the main direction of the hair courses, can be used as the smoothness value of the hair style.
• the smoothness of coherence can be a quantitative measure of the hairstyle's smoothness.
• the coherence of the one hair examining area B100 may thus correspond to the smoothness value for the entire hairstyle.
• the coherence of the at least one hair examining area B100 may correspond to a hairstyle smoothness value that is unique to the at least one hairstyle Hair Examination Range B100 is representative.
• a plurality of hair examination areas B100 may be evaluated to evaluate a smoothness of the entire hairstyle based on a plurality of smoothness values determined thereby.
• a structure ie hair 102 shown there runs, from these directions a main direction (also as orientation or predominant orientation ), and then, as a measure of the smoothness of the hairs 102, it is determined to what proportion of the pixels of the total number of pixels approximately the main direction is associated, the measure, expressed as coherence, being normalized such that For an isotropic distribution, a coherence of 0 results and gives an alignment of all or substantially all pixels along the principal direction a coherence of 1.
• the texture tensor defined for each pixel of the image 100 may be determined. From a set of structural tensors, coherence is derived in various embodiments.
• coherence may represent a measure of linear portions in the image.
• a Fourier component analysis can be carried out to determine the main direction ⁇ ⁇ .
• This can be based on a Fourier spectral analysis.
• structures with a main direction in a rectangular image for example, in the Fourier transform of the image may generate a periodic pattern of a second direction offset by + 90 ° with respect to the main direction of the structures.
• the hair examining area B100 may be divided into e.g. rectangular hair examination area sections, for each of which a Fourier power spectrum can be calculated.
• the power spectra can be examined in polar coordinates and the power measured for each angle (i.e., each direction) using spatial filters.
• the angles determined for each of the individual pixels can be represented as angular frequency distribution.
• a distribution function for example a Gaussian curve, whose center may indicate the main direction ⁇ ⁇ , can be adapted to the angular frequency distribution.
• a standard deviation of the Gaussian curve may form the smoothness value. Again, this is circular data, i. as a measure of a scattering angle deviation may be suitable.
• software can be used in various embodiments.
• any software can be used that provides a functionality described above.
• the software may be provided as an app.
• FIG. 2A and FIG. 2B are results of applying the "Directionality" plug-in (see http://imagej.net/Directionality for a detailed description) according to various embodiments to the curly hair of FIG. 1A (in FIG. 2A) and to the straight hair from FIG.1B (in FIG.2B).
• the images 100a, 100b and the hair examination areas defined therein, each comprising the entire image, have a resolution of 700 x 700 pixels, and both images have comparable colors and contrasts.
• a frequency distribution of the individual picture elements in the hair examination area B100 (here, substantially the entire picture area) is shown in the form of a bar chart as the number of picture elements (for example, relative frequency) versus angle (direction in degrees). Also shown is an adapted Gaussian curve (as a solid line).
• the frequency distribution of the image 100a with the curly hair 102 has a distribution which is distributed over all angles and which has only about three very wide frequency maxima.
• results showing the principal direction ⁇ ⁇ ("direction") determined from the center of the fitted Gaussian curve, a standard deviation of the Gaussian curve ("dispersion"), an amount indicating a frequency accumulated within the standard deviation, and a quality of the Gaussian curve Gauss curve fitting list.
• the results show that for the curly hair 102 of FIG. 1A no meaningful adjustment is achieved and the quality of the adjustment is rated with a low value of 0.25.
• the determined values reflect that the hair 102 shown in the hair examination area B100 is not smooth.
• the standard deviation given as the dispersion gives a reasonable value of 2.48 °, and within a range of (38.24 ° -2.48 °) to (38.24 ° + 2.48 °), 75% of the pixels are of hair examination area B100.
• the dispersion is reproduced that the hair courses in the image from FIG. 1 B are substantially in the same direction, the hair 102 is thus smooth.
• FIG. 3A and FIG. 3B are tables showing results of a method for determining a smoothness value of a hairstyle according to various embodiments, for the determination of which the above-described method using the texture tensor has been applied.
• FIG. 3A shows the results for the curly hair of FIG. 1A again, and FIG. FIG. 3B shows the results for the straight hair of FIG. 1 B.
• Both dispersion and coherence may be capable of differentiating images with hairstyles of different smoothness and quantifying the linear portions of the hairstyle that may be crucial to hairstyle smoothness.
• FIG. 4A and FIG. 4B are each a graph illustrating a method for determining a smoothness value of a hairstyle according to various embodiments.
• a plurality of different sized hair examination areas B100 may be used.
• the method may include relating the determined hairstyle smoothness values to the sizes of the plurality of hair examination areas B100 (here, for example, B100_1, B100_2).
• the plurality of different sized hair examination areas B100 may have the same midpoint position, i. the hair examination areas B100 may be centered on the same center.
• FIG. 4A two differently sized hair examination areas B100_1 and B100_2 are shown in FIG. 100a.
• the two hair examination areas B100_1, B100_2 can be examined separately.
• the other hair inspection area B100_2 may be smaller.
• the plurality of different sized hair examining areas B100_1, B100_2 may be used to provide a guide to discerning curly hair, which may have a major direction of small dispersion and / or great coherence for smaller hair examining areas B100, although for a large hair exam area B100 a large dispersion and / or a small coherence, and disordered hair, which may have, for example, for each size of the hair examination area a substantially isotropic distribution with a small coherence and / or a large dispersion.
• a size of the linear (eg smooth) structures can be determined by means of a limit variable of the hair examination area B100, below which a predetermined minimum value for coherence is exceeded and / or a predetermined maximum value for a dispersion is undershot, for example as a number of picture elements , and / or, for example, in the case of an assignment of a size of the picture elements to a physical size unit, as physical dimensions, eg Centimeter.
• the hair examination area B100_1 As shown in FIG. 4A, the hair examination area B100_1, as shown in FIG. 3A, hairs 102 having a low coherence and a high dispersion, a meaningful indication of a main direction ⁇ does not seem to be possible.
• the smaller hair examination area B100_2 hairs can be represented which have a main direction ⁇ , which can be at about -70 °, and in addition it can be expected that the coherence can be relatively high and the dispersion can be relatively low.
• smooth hair structures having a size approximately equal to a size (for example, an edge length) of the hair examination area may be provided.
• a plurality of differently positioned hair examination areas B100 can be used, for example hair examination areas B100_3, B100_4, which have different center positions.
• the method may include relating the determined hairstyle smoothness values to the midpoint positions of the plurality of hair examination areas B100 (here, for example, B100_3, B100_4).
• the plurality of differently positioned hair examining areas B100 may be the same size.
• FIG. 4B two differently positioned hair examination areas B100_3 and B100_4 are shown in the image 100b.
• the two hair examination areas B100_3, B100_4 can be examined separately.
• the plurality of differently positioned hair examination areas B100_3, B100_4 may be used to provide an indication of a distribution of straight and / or curly hair in a hairstyle.
• the hairs 102 may be smooth near the scalp, while the hairs may be curled near the tops.
• the hair examination area B100_3 may have a main direction with great dispersion and / or small coherence
• the hair examination area B100_4 may have a small dispersion and / or a small coherence.
• the hair examination areas B100 arranged distributed in the hair display area it is possible, for example in a case in which the hair display area has an entire hairstyle, to identify smooth areas in the hair display area.
• hair examination areas B100 may be averaged. This can be done using appropriate circular statistics techniques.
• the method of determining a smoothness value of a hairstyle prior to applying a smoothing method e.g. by means of a conditioner, a hair conditioner, a perm, a relaxer, a straightener and / or a smoothing iron.
• a smoothing method e.g. by means of a conditioner, a hair conditioner, a perm, a relaxer, a straightener and / or a smoothing iron.
• the smoothness value can be determined after applying the smoothing method.
• an effectiveness of the smoothing process can be determined.
• a ratio of the smoothness value after smoothening with the smoothness value before smoothening can be determined in various exemplary embodiments.
• the method for determining a smoothness value of a hairstyle may be used to determine an effectiveness of the smoothing process.
• a smartphone, a tablet, a laptop, or the like may be suitable for carrying out the method for determining the smoothness value of a hairstyle.
• the software does not need to be manufactured on the smartphone, tablet, laptop, etc. For example, it may be sufficient if the smartphone or similar. through the Internet
• the calculations may be performed by the computer, and the result may be presented to the smartphone / tablet or the like. to be provided.
• FIG. 5 shows a flowchart 500 of a method for determining a smoothness value of a hairstyle according to various embodiments.
• the method may include determining (at 510) at least one hair examining area in a digital image in which hairs are imaged, determining hairlines of the hairs imaged in the at least one hair examining area, the hairlines of all in the hair examining area 520), determining a main direction of the hair courses (in 530) and determining the smoothness value of the hairstyle based on the main direction of the hair courses and the entirety of the hair courses (in 540).
• FIGS. 4C to 4H show images 100c, 100d, 100e, 100f, 100g, and 100h, respectively, of differently smooth hairs for use in a method of determining a smoothness value of a hairstyle according to various embodiments.
• coherence i. a coherence value determined, for example as described above.
• the individual images can be standardized using image processing software.
• the images 100 may be processed such that the respective image excerpts 100B used for the analysis are of equal size, for example, in that their number of pixels coincide and / or real dimensions of the imaged hair are the same or similar in the images.
• color images may be converted to grayscale images and / or an intensity of the images 100 may be scaled such that the images 100 cover a similar or equal intensity value range, and so on.
• one or more of the images 100 may be enhanced by means of image processing software, for example, sharpness and / or contrast may be increased, which may facilitate detection of edge progressions.
• Photoshop Lightroom 6 or any other suitable image editing software may be used to standardize and / or enhance the images.
• 20 different jurors sorted the images 100c, 100d, 100e, 100f, 100g and 100h in descending smoothness after visual inspection, transformed the coherence values into ranks and compared them with the visually determined ranking of the jurors based on a Spearman ranking correlation.
• a Spearman rank correlation coefficient of r s 0.8 was determined, which is considered to be a good value in view of the differences that are difficult to discern (significant variations were also evident in the jury panel).
• FIG. 6 shows a graphical representation of a device 600 for determining a smoothness value of a hairstyle according to various embodiments.
• the apparatus 600 for determining a smoothness value of a hairstyle may include a data processing device 660.
• the computing device 660 may include, for example, a computer, a tablet, a smartphone, a laptop, or any other computing device capable of performing the computerized hair color rendering method according to various embodiments.
• data processing device 660 will also be referred to herein as computer 660.
• the data processing device 660 may include a processor 662, such as a microprocessor.
• the device 600 for determining a smoothness value of a hairstyle may include a display device 664.
• the display device 664 may include a screen of a smartphone, a personal computer, a laptop, or other device 600 for determining a smoothness value of a hairstyle.
• the display device 664 may be used, for example, to present results of the method for determining a smoothness value of a hairstyle, to request input parameters for executing the method, or the like.
• the display device 664 may be connected to the data processing device 660 via a first data connection 670.
• the display device 664 may communicate with the data processing device 660 via the first data connection 670.
• the device 600 is a smartphone, a tablet, or the like.
• the display device 664 and the first data connection 670 may be integrated in the device 600.
• the device 600 for determining a smoothness value of a hairstyle may include a camera 666.
• the camera 666 may be configured in accordance with various embodiments to capture a digital image 100 of hair 102, e.g. of a user's hair.
• the at least one camera 666 may, according to various embodiments, be a digital still camera or a video camera, i. a camera 104, which may be configured to record a plurality of frames as a time series.
• the apparatus 600 for determining a smoothness value of a hairstyle may include a second data connection 674 between the computer 660 and the camera 666.
• data can be transmitted from the computer 660 to the camera 666, for example, for a, for example conventional, software control of the camera 666.
• data for example the digital camera (s) recorded by the camera 666, can be used by means of the second data connection 674 Picture / s, to be transmitted to the computer 660.
• the device 600 is a smartphone, a tablet, or the like.
• the camera 666 and the second data connection 674 may be integrated in the device 600.
• the device 600 for determining a smoothness value of a hairstyle on a camera 666 may be omitted, for example, if the data processing device 660, the digital image 100 is provided in other ways, for example by means of a data transmission.
• the data processing device 660 may be configured to process, for example, using the processor 662, the image received from the camera 666 or otherwise by image processing software, for example, to determine the hair display area in the received image in a known manner and as described above for various Embodiments described to determine the smoothness of a hairstyle.
• the image processing software may include an app in various embodiments.
• the data processing device 600 may include an input device 668 for providing information to the data processing device 600, such as a keyboard, a mouse, a touch-sensitive surface of the display device 664, or the like.
• an input device 668 for providing information to the data processing device 600, such as a keyboard, a mouse, a touch-sensitive surface of the display device 664, or the like.
• the input device 668 may be connected to the data processing device 660 via a third data connection 672.
• the input device 668 may communicate with the data processing device 660 via the third data connection 672.
• the device 600 is a smartphone, a tablet, or the like.
• the input device 668 and the third data connection 672 may be integrated in the device 600.
• the strength of the curling of hair has an influence on the success of a hair treatment.
• the strength of the curling of hair in particular affects the treatment of hair with care products. Accordingly, the determination of a smoothness value of a hairstyle can be followed by the output of an individual treatment instruction as a function of the determined smoothness value.
• Another object of the invention is a method for individualized hair treatment, characterized by the steps
• the individual treatment instruction comprises the recommendation of hair treatment products, in particular hair care products.
• the recommendation may include the display or announcement of a specific product name of a hair treatment agent.
• the recommendation may include the display or announcement of a manufacturer's product line or series.
• the individual treatment instruction consists of determining the smoothness value of the person to whose hairstyle the use of hair treatment products identifies the individual on the basis of QR codes, NFC chips, barcodes or RFID chips , to advise or to advise against.
• the individual treatment instruction can also be to determine the chemical composition of a hair treatment agent, in particular a hair care product.
• the individual treatment instruction may be to counsel the individual to use hair treatment products, especially hair care products, that are individually made for the individual and to initiate an ordering process, preferably by calling a manufacturer of individual hair care products website.

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• 2016
  • 2016-11-11 DE DE102016222194.9A patent/DE102016222194A1/de not_active Ceased
• 2017
  • 2017-07-04 WO PCT/EP2017/066578 patent/WO2018086772A1/de not_active Ceased
  • 2017-07-04 EP EP17735496.6A patent/EP3539083B1/de active Active
  • 2017-07-04 CN CN201780069630.6A patent/CN109923584B/zh active Active
  • 2017-07-04 JP JP2019524434A patent/JP7042266B2/ja active Active
  • 2017-07-04 US US16/347,771 patent/US10885654B2/en active Active

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