KR102550632B1 - System for producing customized cosmetic using skin diagnosis information and method thereof - Google Patents

Abstract

A customized cosmetics manufacturing system and method using skin diagnosis information according to an embodiment are disclosed. The customized cosmetics manufacturing system includes a skin diagnosis device for acquiring an image by photographing a face whose skin condition is to be diagnosed; A user terminal for detecting wrinkles in pre-classified skin areas within the face using the acquired image, diagnosing a skin condition by calculating a numerical value quantifying the degree of the detected wrinkles, and generating skin diagnosis information as a result of the diagnosis. ; a service server for deriving manufacturing ingredients for manufacturing cosmetics using the generated skin diagnosis information; and a cosmetics manufacturing device for manufacturing cosmetics according to the derived manufacturing ingredients.

Description

Customized cosmetics manufacturing system and method using skin diagnosis information

Embodiments relate to a customized cosmetic manufacturing system and method using skin diagnosis information.

The global healthcare AI market is growing rapidly every year and is expected to grow even more in the future. Among them, the smart beauty field is highly marketable and evaluated as a high-growth industry. These smart beauty technologies are largely divided into digital skin diagnosis technology and treatment technology. Digital skin diagnosis technology measures and analyzes the condition of the skin by analyzing images taken with a camera, and a contact type RGB camera or a non-contact type UV camera is mainly used.

Measuring skin condition is important from a health point of view and from a cosmetic point of view.

In general, cosmetics are used to keep the user's skin clean and elastic or to give a sense of beauty to the user's appearance. can be distinguished.

Cosmetics are briefly classified into several skin types such as oily and dry based on the skin characteristics of average consumers, and after manufacturing the types and ratios of cosmetic raw materials for an unspecified number of people, they are filled in containers and sold. Among the many cosmetic products on the market, a person selects and purchases an appropriate cosmetic product in consideration of his/her preference and skin condition.

Therefore, there is a demand for providing customized cosmetics suitable for the skin condition of each user.

Publication No. 10-2018-0064963 (2018.06.15.)

Embodiments may provide a customized cosmetics manufacturing system and method using skin diagnosis information.

A customized cosmetic manufacturing system according to an embodiment includes a skin diagnosis device for obtaining an image by photographing a face whose skin condition is to be diagnosed; A user terminal for detecting wrinkles in pre-classified skin areas within the face using the acquired image, diagnosing a skin condition by calculating a numerical value quantifying the degree of the detected wrinkles, and generating skin diagnosis information as a result of the diagnosis. ; a service server for deriving manufacturing ingredients for manufacturing cosmetics using the generated skin diagnosis information; and a cosmetics manufacturing device for manufacturing cosmetics according to the derived manufacturing ingredients.

The service server may derive the preparation ingredients by using a look-up table in which preparation ingredients are preset according to values quantifying the degree of wrinkles measured in advance and skin conditions.

The user terminal converts the color space of the image to the HSV color space, extracts brightness information using V of the HSV color space, detects an edge from the image based on the extracted brightness information, and generates an edge image; , Contours may be detected from the generated edge image, the number of detected edges and contours may be calculated, and a wrinkle score quantifying the degree of wrinkles based on the calculated number of edges and contours may be calculated.

The user terminal performs histogram equalization on the image based on the extracted brightness information, and divides the image into a plurality of regions to perform histogram equalization.

The user terminal generates a horizontal edge image and a vertical edge image by blurring the histogram smoothed image in the horizontal and vertical directions, respectively, to remove noise edges, and the generated horizontal edge image and vertical direction An edge gradient is obtained from each edge image using a sobel edge detector, and an edge having the maximum magnitude is obtained using a Non Maximum Suppression (NMS) algorithm based on the edge gradient A candidate edge is determined as a candidate edge, a threshold is applied to the determined candidate edge to determine whether or not it is a real edge, a morphology open operation is performed on the horizontal direction edge image, and then the edges determined to be the real edge are respectively The edge image may be generated by combining a horizontal edge image and a vertical edge image.

A method for manufacturing customized cosmetics according to an embodiment includes the steps of acquiring an image by photographing a face for which a skin condition is to be diagnosed by a skin diagnosis device; The user terminal detects wrinkles in pre-classified skin areas within the face using the acquired image, calculates a value quantifying the degree of the detected wrinkles, diagnoses the skin condition, and generates skin diagnosis information as a result of the diagnosis. doing; Deriving, by a service server, ingredients for manufacturing cosmetics using the generated skin diagnosis information; and preparing, by the cosmetics manufacturing apparatus, cosmetics according to the derived ingredients.

In the generating step, the preparation ingredients may be derived using a look-up table in which the preparation ingredients are preset according to a value obtained by quantifying the degree of wrinkles measured in advance and a skin condition.

The generating step converts the color space of the image to the HSV color space, extracts brightness information using V of the HSV color space, and detects an edge from the image based on the extracted brightness information to generate an edge image. and detecting contour lines from the generated edge image, calculating the number of detected edges and contour lines, and calculating a wrinkle score quantifying the degree of wrinkles based on the calculated number of edges and contour lines. .

In the generating step, histogram equalization may be performed on the image based on the extracted brightness information, and the histogram equalization may be performed by dividing the image into a plurality of regions.

The generating step generates a horizontal edge image and a vertical edge image by blurring the histogram-smoothed image in horizontal and vertical directions, respectively, to remove noise edges, and generating the horizontal edge image and the vertical edge image. An edge having the maximum magnitude by obtaining an edge gradient from each directional edge image using a sobel edge detector and using a Non Maximum Suppression (NMS) algorithm based on the edge gradient Determines as a candidate edge, determines whether it is a real edge by applying a threshold to the determined candidate edge, performs a morphology open operation on the horizontal edge image, and then determines the edge determined to be the real edge The edge image may be generated by combining a horizontal edge image and a vertical edge image, each of which is included.

According to the embodiment, a numerical value quantifying the degree of wrinkles in a pre-divided skin area within the face is calculated using an RGB image of a face to diagnose the condition of the skin, and a manufacturing component of a cosmetic based on the diagnosed skin condition. By determining and manufacturing cosmetics according to the determined ingredients, it is possible to manufacture and provide customized cosmetics suitable for the user's skin condition.

According to the embodiment, it is possible to manufacture customized cosmetics, thereby improving user satisfaction.

1 is a diagram showing the configuration of a customized cosmetic manufacturing system according to an embodiment of the present invention.
2 is a diagram for explaining a process for manufacturing customized cosmetics according to an embodiment of the present invention.
FIG. 3 is a diagram showing a detailed configuration of a user terminal shown in FIG. 1 .
4 is a diagram showing a skin diagnosis method according to an embodiment of the present invention.
5A to 5C are views for explaining a skin region detection process according to an embodiment.
6 is a diagram illustrating a process of detecting and digitizing wrinkles according to an embodiment of the present invention.
7 is a diagram illustrating a screen displaying skin diagnosis results through a mobile app.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

However, the technical idea of the present invention is not limited to some of the described embodiments, but may be implemented in a variety of different forms, and if it is within the scope of the technical idea of the present invention, one or more of the components among the embodiments can be selectively implemented. can be used by combining and substituting.

In addition, terms (including technical and scientific terms) used in the embodiments of the present invention, unless explicitly specifically defined and described, can be generally understood by those of ordinary skill in the art to which the present invention belongs. It can be interpreted as meaning, and commonly used terms, such as terms defined in a dictionary, can be interpreted in consideration of contextual meanings of related technologies.

Also, terms used in the embodiments of the present invention are for describing the embodiments and are not intended to limit the present invention.

In this specification, the singular form may also include the plural form unless otherwise specified in the phrase, and when described as “at least one (or more than one) of A and (and) B and C”, A, B, and C are combined. may include one or more of all possible combinations.

Also, terms such as first, second, A, B, (a), and (b) may be used to describe components of an embodiment of the present invention.

These terms are only used to distinguish the component from other components, and the term is not limited to the nature, order, or order of the corresponding component.

In addition, when a component is described as being 'connected', 'coupled' or 'connected' to another component, the component is not only directly connected to, combined with, or connected to the other component, but also with the component. It may also include the case of being 'connected', 'combined', or 'connected' due to another component between the other components.

In addition, when it is described as being formed or disposed on “above (above) or below (below)” of each component, “upper (above)” or “lower (below)” is not only a case where two components are in direct contact with each other, but also one A case in which another component above is formed or disposed between two components is also included. In addition, when expressed as “up (up) or down (down)”, it may include the meaning of not only the upward direction but also the downward direction based on one component.

In the embodiment, a numerical value quantifying the degree of wrinkles in a pre-divided skin area within the face is calculated using an RGB image of a face to diagnose the condition of the skin, and based on the diagnosed skin condition, the manufacturing ingredient of the cosmetic is calculated. Determine and propose a new method to manufacture cosmetics according to the determined ingredients.

Here, the wrinkles refer to depressions in the skin that occur between areas having a certain thickness.

1 is a diagram showing the configuration of a customized cosmetic manufacturing system according to an embodiment of the present invention.

Referring to FIG. 1 , a customized cosmetics manufacturing system according to an embodiment of the present invention may include a skin diagnosis device 100, a service server 300, a database 400, and a cosmetics manufacturing device 500. .

The skin diagnosis apparatus 100 may acquire an RGB image by photographing a face using a non-contact RGB camera, and may provide the obtained RGB image to the user terminal 200 .

The user terminal 200 may diagnose a skin condition by detecting a facial area using the provided RGB image and detecting wrinkles in a skin area pre-divided within the facial area, and calculating a value quantifying the degree of wrinkles.

The user terminal 200 may check the history of the user's facial skin condition by interworking with the service server 300 and uploading and managing skin diagnosis information as a diagnosis result to the service server.

The service server 300 may interwork with the skin diagnosis device 100 and receive and manage skin diagnosis information including a quantified value of wrinkles and a skin condition from the skin diagnosis device 100 .

The service server 300 may provide information so that the user can check whether the user's facial skin condition has improved by comparing the image of the current date with the image of the previous date.

The database 400 may store information on skin conditions provided for each user. The database 400 stores not only skin conditions but also information on numerical values quantifying the degree of wrinkles, and such information may be sequentially stored by date or time.

The service server 300 may derive manufacturing ingredients for manufacturing cosmetics by using information about the user's skin condition, that is, skin diagnosis information. In the embodiment, manufacturing ingredients may be derived using a look-up table in which manufacturing ingredients are preset according to skin diagnosis information, that is, numerical values quantifying the degree of wrinkles, and skin conditions. Here, the manufacturing component may include the type of raw material, the mixing ratio of the raw material, and the like.

Here, the service server 300 derives the manufacturing ingredient using the most recently measured skin diagnosis information, but is not necessarily limited thereto and may derive it in consideration of all previous histories.

The service server 300 may provide the derived ingredients to the cosmetic manufacturing apparatus 500 .

The cosmetics manufacturing device 500 interworks with the service server 300 and, when manufacturing ingredients are provided from the service server 300, can manufacture cosmetics according to the provided ingredients. Cosmetics manufactured in this way suitable for the skin condition may be provided to the user.

2 is a diagram for explaining a process for manufacturing customized cosmetics according to an embodiment of the present invention.

Referring to FIG. 2 , the skin diagnosis apparatus according to the first embodiment of the present invention may acquire an RGB image by photographing a face using a non-contact RGB camera (S201).

Next, the user terminal analyzes the acquired RGB image, detects the face area as a result of the analysis, and detects wrinkles in the skin area pre-divided within the face area (S202).

Next, the user terminal may generate skin diagnosis information by calculating a value quantifying the degree of wrinkles and diagnosing a skin condition based thereon (S203).

Next, the user terminal may display the generated skin diagnosis information on the screen (S204). As shown in (a) of FIG. 7 , the user terminal visually displays skin diagnosis information through a mobile application, and shows wrinkle scores for each skin area as shown in (b) and (c).

Next, when the user terminal provides the skin diagnosis information to the service server (S205), the service server may store the provided skin diagnosis information in a database (S206).

Next, the service server may derive manufacturing ingredients for manufacturing cosmetics using the skin diagnosis information (S207) and provide the derived manufacturing ingredients to the cosmetic manufacturing device (S208).

Next, the cosmetics manufacturing apparatus may manufacture cosmetics according to the provided manufacturing ingredients (S209).

A technique for obtaining skin diagnosis information for manufacturing such cosmetics will be described below.

FIG. 3 is a diagram showing a detailed configuration of a user terminal shown in FIG. 1 .

Referring to FIG. 3 , the user terminal 200 according to an embodiment of the present invention includes a first communication unit 211, a second communication unit 212, an input unit 213, a control unit 214, an output unit 215, A storage unit 216 and a display unit 217 may be included.

The first communication unit 211 may interwork with the skin diagnosis device 100 and provide RGB images.

The second communication unit 212 may transmit and receive various types of data in conjunction with the service server 300 .

The input unit 213 may receive information according to a user's menu or key manipulation.

The controller 214 may detect a face area using the RGB image, classify the detected face area into a plurality of predetermined skin areas, and detect wrinkles in the plurality of divided skin areas.

The controller 214 may diagnose a skin condition by calculating a numerical value obtained by quantifying the degree of wrinkles in a plurality of skin areas.

The output unit 215 may output audio for guiding skin diagnosis and skin conditions.

The storage unit 216 may store information related to skin diagnosis, such as an RGB image by date, a skin area, a quantified value of the degree of wrinkles, and a skin condition.

The display unit 217 may display on the screen an RGB image of the user's face, a value obtained by quantifying the degree of wrinkles using the RGB image, and a skin condition.

4 is a diagram showing a skin diagnosis method according to an embodiment of the present invention.

Referring to FIG. 4 , the skin diagnosis apparatus according to the first embodiment of the present invention may acquire an RGB image by photographing a user's face using an RGB camera for skin diagnosis (S410).

Next, the RGB image acquired by the skin diagnosis device may be provided to the user terminal.

Next, the user terminal may detect the face area from the RGB image provided through the mobile application (S420). In this case, the size or angle of the face in the captured image may vary according to the image capturing environment or individual face characteristics. If the size or angle of the face is different for each image, the accuracy of detecting the skin area is lowered, and the performance of the system is deteriorated. Therefore, in order to detect a uniform skin area, it is necessary to accurately find the face area even if the photographing environment or face characteristics change. As a method for detecting a face region, various known technologies may be used. For example, a Harr-like feature-based method, an AlexNet-based method, a Cascade-based CNN method, an AutoEncoder method, and FAN (Face Alignment Algorithm) etc.

Next, the user terminal may detect a predetermined skin region among the detected face regions (S430). In the embodiment, the diagnosis is made limited to a specific skin area rather than the diagnosis of the entire face, but the skin area of interest for each diagnosis subject may be different.

For example, for wrinkles, both cheeks and the sides of both eyes are the skin regions of interest.

5A to 5C are views for explaining a skin region detection process according to an embodiment.

Referring to FIG. 5A , in the case of both cheeks, if the area is detected as a rectangle, it does not match the actual cheek area, so that a part other than the cheeks, such as the nose boundary or the lip boundary, may be included or an area narrower than the actual cheek may be detected. Since such a narrow area causes deterioration in performance when detecting wrinkles, convex polygons should be formed to include the entire cheek area as much as possible.

Referring to FIG. 5B , straight-line noises such as eyebrows, eyelids, and eyes may be incorrectly detected as wrinkles next to both eyes. Therefore, noise is not included while specifying the area next to both eyes in a triangular form using the eyebrow and eye coordinates in the detected face area coordinates.

Referring to FIG. 5C , a masking operation is performed on the area next to the glabella, both cheeks, and both eyes, and stored as a separate image, that is, a masking image, which can be used when detecting wrinkles.

Next, the skin diagnosis apparatus may detect wrinkles in the detected skin region and quantify the degree of the detected wrinkles (S450).

Next, the user terminal may diagnose the skin condition for each skin area based on the wrinkle detection result (S470), and display the diagnosed skin condition on the screen (S480).

6 is a diagram illustrating a process of detecting and digitizing wrinkles according to an embodiment of the present invention.

Referring to FIG. 6 , a user terminal according to an embodiment may extract brightness information by converting a color space of an RGB image. That is, since the color difference between the wrinkles and the surrounding skin is insignificant, brightness information should be used instead of color information. To extract the brightness information, the HSV color space rather than the RGB color space should be used. Here, HSV represents H (Hue), S (Saturation), and V (Value). That is, in the HSV color space, since colors are expressed with H and S values and brightness is expressed with V, brightness information is extracted using V (S610).

Next, the user terminal may perform histogram equalization on the image based on the extracted brightness information (S612). When histogram equalization is applied, the pixel values of the image are evenly distributed within the range of 0 to 255 to improve the contrast of the image, but if the brightness distribution is extreme, it is difficult to see sufficient contrast improvement in some areas. Therefore, in the embodiment, Contrast Limited Adaptive Histogram Equalization (CLAHE) is intended to be used. At this time, CLAHE is a local contrast enhancement technique, and CLAHE can be performed by dividing an image into several blocks.

Next, the user terminal may generate an edge image by detecting an edge from the smoothed RGB image using a predetermined edge detection algorithm (S620). Here, various well-known algorithms may be used as the edge detection algorithm, and may be, for example, canny edge detection.

Specifically, the user terminal may remove a noise edge by blurring an image using a Gaussian filter in order to improve edge detection performance.

At this time, the user terminal removes the noise edge by blurring the image in the horizontal and vertical directions, respectively, to generate a shape suitable for separating and analyzing horizontal and vertical wrinkles, that is, a horizontal edge image and a vertical edge image. .

Next, the user terminal may obtain an edge gradient from each of the horizontal edge image and the vertical edge image from which noise edges are removed by using a sobel edge detector. In this case, when the horizontal and vertical gradients are Gx and Gy, respectively, the edge gradient is expressed in Equation 1 below.

[Equation 1]

,

,

Next, the user equipment may determine an edge having the maximum magnitude as a candidate edge by using a Non Maximum Suppression (NMS) algorithm based on the edge gradient. At this time, the search direction is determined by considering the direction of the edge, rather than determining whether it is the maximum for all neighbors.

Next, the user terminal may determine whether or not the determined candidate edge is an actual edge. That is, if the strength of an edge is greater than the upper threshold, it is designated as an edge, and if it is less than the lower threshold, it is used when combining the edges.

Next, the user terminal may perform a morphology open operation on the edge image in the horizontal direction. Morphology is a technique for analyzing the geometric shape of an image. Basic morphological operations include erosion and dilation operations. Erosion reduces the size of the region of interest, but has the effect of removing minor noise. Dilation increases the size of the region of interest, but the size of noise may also increase. At this time, if the dilation operation is performed after the erosion operation, the shape and size of the object can be preserved and insignificant noise can be removed at the same time. This process of sequentially performing erosion and dilation operations is called an open operation and is often used to remove small noise. Since wrinkles in the horizontal direction are particularly noisy, the embodiment tries to perform the monomorphic open operation only on the edge image in the horizontal direction.

Next, the user terminal may generate an edge image by combining a horizontal edge image and a vertical edge image each including an edge determined to be an actual edge.

Next, the user terminal may detect the contour line from the edge image using a predetermined contour detection algorithm (S630). A contour is a curve that connects all consecutive points with the same intensity and is used as a useful tool for shape analysis and object detection and recognition. At this time, various known algorithms may be used as the Yoon Kwan-seok detection algorithm.

Next, the user terminal may calculate a quantified numerical value based on the detected edge and outline (S640). That is, the skin diagnosis apparatus may calculate the number of detected edges and contour lines, and calculate a value or score quantifying the degree of wrinkles based on the calculated number of edges and contour lines.

First, the number of detected edges and contour lines is expressed as in Equations 2 and 3 below.

[Equation 2]

,

,

[Equation 3]

Here, w is the width of the image, h is the height of the image, n is the number of detected contours, (x _k,1 , y _k,1 ) is the starting point of the kth contour, (x _k,2 , y _k,2 ) represents the end point of the kth contour.

Line-shaped wrinkles can be quantified by counting the number of edges detected as shown in Equation 2 by analyzing all wrinkle lines, and thick wrinkles (Rhytid) analyze the area where wrinkles are formed, as shown in Equation 3 Quantification is possible by calculating the total sum of the lengths of the detected contours.

When the wrinkle score is obtained using Equations 2 and 3, it is expressed as in Equation 4 below.

[Equation 4]

,

,

Here, p _m represents the mask of the corresponding pixel position (i, j).

The area of the mask is obtained as shown in Equation 4 above, log is taken to correct the strength of the value, and then relative values of Score _w-line and Score _w-rhytid are calculated relative to the mask area.

The term '~unit' used in this embodiment means software or a hardware component such as a field-programmable gate array (FPGA) or ASIC, and '~unit' performs certain roles. However, '~ part' is not limited to software or hardware. '~bu' may be configured to be in an addressable storage medium and may be configured to reproduce one or more processors. Therefore, as an example, '~unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. Functions provided within components and '~units' may be combined into smaller numbers of components and '~units' or further separated into additional components and '~units'. In addition, components and '~units' may be implemented to play one or more CPUs in a device or a secure multimedia card.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be done.

100: skin diagnosis device
200: user terminal
300: service server
400: database
500: cosmetics manufacturing device

Claims (10)

A skin diagnosis device for obtaining an image by photographing a face whose skin condition is to be diagnosed;
A user terminal for detecting wrinkles in pre-classified skin areas within the face using the acquired image, diagnosing a skin condition by calculating a numerical value quantifying the degree of the detected wrinkles, and generating skin diagnosis information as a result of the diagnosis. ;
a service server for deriving manufacturing ingredients for manufacturing cosmetics using the generated skin diagnosis information; and
Including a cosmetic manufacturing device for manufacturing cosmetics according to the derived manufacturing ingredients,
The user terminal,
Converting the color space of the image to the HSV color space and extracting brightness information using V of the HSV color space;
Performing histogram equalization on the image based on the extracted brightness information;
Creating a horizontal edge image and a vertical edge image by blurring the histogram-smoothed image in horizontal and vertical directions, respectively, to remove noise edges,
Obtaining an edge gradient from each of the generated horizontal edge images and vertical edge images using a sobel edge detector,
Based on the edge gradient, a non-maximum suppression (NMS) algorithm is used to determine an edge having the maximum magnitude as a candidate edge;
Applying a threshold to the determined candidate edge to determine whether or not it is an actual edge;
After performing a morphology open operation on the horizontal edge image, the edge image is generated by combining a horizontal edge image and a vertical edge image each including an edge determined to be the actual edge,
A customized cosmetic manufacturing system for calculating a wrinkle score quantifying the degree of wrinkles based on the generated edge image. According to claim 1,
The service server,
A customized cosmetic manufacturing system for deriving the manufacturing ingredients using a look-up table in which the manufacturing ingredients are preset according to a value obtained by quantifying the degree of wrinkles measured in advance and a skin condition. According to claim 1,
The user terminal,
Detecting a contour line from the generated edge image,
The customized cosmetics manufacturing system that calculates the number of the detected edges and contours, and calculates a wrinkle score quantifying the degree of wrinkles based on the calculated number of edges and contours. According to claim 3,
The user terminal,
A customized cosmetics manufacturing system for dividing the image into a plurality of regions based on the extracted brightness information and performing histogram equalization. delete Acquiring an image by photographing a face for which a skin condition is to be diagnosed by a skin diagnosis device;
The user terminal detects wrinkles in pre-classified skin areas within the face using the acquired image, calculates a value quantifying the degree of the detected wrinkles, diagnoses the skin condition, and generates skin diagnosis information as a result of the diagnosis. doing;
Deriving, by a service server, ingredients for manufacturing cosmetics using the generated skin diagnosis information; and
A cosmetic manufacturing apparatus comprising the step of manufacturing cosmetics according to the derived manufacturing ingredients,
The generating step is
Converting the color space of the image to the HSV color space and extracting brightness information using V of the HSV color space;
Performing histogram equalization on the image based on the extracted brightness information;
Creating a horizontal edge image and a vertical edge image by blurring the histogram-smoothed image in horizontal and vertical directions, respectively, to remove noise edges,
Obtaining an edge gradient from each of the generated horizontal edge images and vertical edge images using a sobel edge detector,
Based on the edge gradient, a non-maximum suppression (NMS) algorithm is used to determine an edge having the maximum magnitude as a candidate edge;
Applying a threshold to the determined candidate edge to determine whether or not it is an actual edge;
After performing a morphology open operation on the horizontal edge image, the edge image is generated by combining a horizontal edge image and a vertical edge image each including an edge determined to be the actual edge,
Based on the generated edge image, a wrinkle score quantifying the degree of wrinkles is calculated. According to claim 6,
The generating step is
A method for manufacturing customized cosmetics, wherein the manufacturing components are derived using a look-up table in which the manufacturing components are preset according to a value obtained by quantifying the degree of wrinkles measured in advance and a skin condition. According to claim 6,
The generating step is
Detecting a contour line from the generated edge image,
Calculating the number of the detected edges and contours, and calculating a wrinkle score quantifying the degree of wrinkles based on the calculated number of edges and contours. According to claim 8,
The generating step is
A method for manufacturing a customized cosmetic comprising dividing the image into a plurality of regions based on the extracted brightness information and performing histogram equalization. delete

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