KR20200008484A - Systme for recommending cosmetic product through skin diagnosis - Google Patents

Abstract

According to an embodiment of the present invention, a cosmetic recommendation system through skin diagnosis comprises: an image photographing unit which photographs an image of skin; an image processing unit for analyzing the image photographed by the image photographing unit to obtain quantitative tone information; and a cosmetic recommendation unit for recommending cosmetics or a combination of cosmetics based on the quantitative tone information obtained by the image processing unit. The cosmetic recommendation unit is previously stored with quantitative tone information for a plurality of cosmetics. The cosmetic recommendation unit may recommend cosmetics or a combination of cosmetics which can calculate quantitative tone information that is the same as or close to the quantitative tone information obtained by the image processing unit.

Description

Cosmetic recommendation system through skin diagnosis {SYSTME FOR RECOMMENDING COSMETIC PRODUCT THROUGH SKIN DIAGNOSIS}

The present invention relates to a cosmetic recommendation system through skin diagnosis.

In general, beauty programs do not take into consideration the age, skin type, characteristics, and taste of individuals when recommending cosmetics, and they are searching for related blogs or product reviews in order to find a cosmetic that suits them.

However, it is almost impossible to find blog reviews that match my age, skin type, characteristics, and tastes, and I have a very subjective review and uncomfortable product search structure that is different from my situation when searching for products.

Also, because they are not skin experts, they often choose cosmetics without knowing their own skin.

In order to improve this, for example, Korean Patent Publication No. KR10-2014-0077322 discloses a cosmetic recommendation method that can be applied directly to the face makeup results applied in the simulation program.

The background art described above is possessed or acquired by the inventors in the process of deriving the present invention, and is not necessarily a known technology disclosed to the public before the application of the present invention.

An object according to an embodiment is to provide a cosmetic recommendation system through the skin diagnosis capable of quantitative analysis of the captured image by generating an image cube, and reliable cosmetic recommendation through a tone comparison method rather than image comparison based on quantitative data. It is.

According to an embodiment of the present invention, the skin tone is primarily classified through image matching, and the skin tone is secondarily reflected by reflecting the user's taste through self-diagnosis. It is to provide a cosmetic recommendation system through a skin diagnosis that can recommend a ready-made product or a formulation of a ready-made product suitable for.

The objective according to an embodiment of the present invention is to obtain image data of various wavelengths through the application of a multi-spectral system, thereby realizing multiple dimensions, and a cosmetic recommendation system through skin diagnosis capable of reliable data quantification according to a plurality of image data analysis. To provide.

An object according to an embodiment is to provide a cosmetic recommendation system through skin diagnosis recommending cosmetics and lipsticks to customers by comparing the quantitative results of skin tones and cosmetic DB.

An object according to an embodiment is to provide a cosmetic recommendation system through a skin diagnosis that can be previewed by applying the recommended cosmetics to the currently taken image.

Cosmetic recommendation system through the skin diagnosis according to an embodiment for achieving the above object, Image taking unit for taking an image for the skin; An image processor for analyzing the image photographed by the image capturing unit to obtain quantitative tone information; And a cosmetic recommendation unit recommending a combination of cosmetics or cosmetics based on the quantitative tone information obtained by the image processing unit, wherein the cosmetic recommendation unit previously stores quantitative tone information about a plurality of cosmetics, and recommends the cosmetics. The unit may recommend cosmetics or a combination of cosmetics that can calculate quantitative tone information that is the same as or close to the quantitative tone information obtained by the image processing unit.

According to one side, the cosmetic recommendation unit, first classify the skin tone from the image taken by the image capturing unit according to the first classification criteria, and secondly, through the self-diagnosis according to the second classification standard The classification criteria may be the same as the classification criteria of the plurality of cosmetic products.

According to one side, the image capturing unit and the cosmetic recommendation unit is implemented through a mobile device, the image is applied to the image taken in the image capturing unit cosmetics or cosmetics recommended in the cosmetic recommendation unit to the mobile device Can be displayed through.

According to one side, the image capturing unit generates a multispectral image, the image processing unit, the image conversion member for converting the multispectral image transmitted from the image capturing unit to a black and white image, and obtains a spectral indicator for the skin; An image correction member for correcting the multispectral image converted from the image conversion member or the spectral index obtained from the image conversion member; And an image conversion member for converting the format of the multispectral image corrected by the image correction member to implement a multi-dimensional image, wherein the quantitative tone information may be obtained from the multispectral image corrected by the image correction member.

According to the cosmetic recommendation system through skin diagnosis according to an embodiment, it is possible to quantitatively analyze the captured image by generating an image cube, and to be able to reliably recommend cosmetics through a tone comparison method rather than an image comparison based on quantitative data. have.

According to the cosmetic recommendation system through skin diagnosis according to an embodiment, the skin tone is primarily classified through image matching, and the skin tone is secondarily classified by reflecting the user's taste through self-diagnosis. It is possible to recommend a cosmetic product, recommend a ready-made product suitable for skin tone, or recommend a combination of ready-made products.

According to the cosmetic recommendation system through skin diagnosis according to an embodiment, it is possible to obtain image data of various wavelengths through the application of a multi-spectral system to realize a multi-dimensional, reliable data quantification according to the analysis of a plurality of image data It may be possible.

According to the cosmetic recommendation system through the skin diagnosis according to an embodiment, it is possible to recommend cosmetics and lipstick to the customer by comparing the quantitative results of the skin tone with the cosmetic DB.

According to the cosmetic recommendation system through the skin diagnosis according to an embodiment, it can be previewed by applying the recommended cosmetics to the current photographed image.

1 is a block diagram of a cosmetic recommendation system through skin diagnosis, according to an exemplary embodiment.
2 illustrates a process in which cosmetics are recommended in a cosmetic recommendation system through skin diagnosis according to an embodiment.
3 shows an image cube.
4 shows quantitative tone information for skin and cosmetics.
5 (a) and 5 (b) show examples of the first classification criteria and the second classification criteria.
6 shows a first cosmetic recommendation scheme.
7 shows a second cosmetic recommendation scheme.
8 shows a main screen of a cosmetic recommendation app.
9-12 illustrate driving the skin care tab in the cosmetic recommendation app.
13 and 14 illustrate the drive of the acne management tab in the cosmetic recommendation app.
15 and 16 illustrate driving of the scalp care tab in the cosmetic recommendation app.
17 illustrates driving of the history tab in the cosmetic recommendation app.
18 illustrates driving of a self-diagnosis tab in a cosmetic recommendation app.

Hereinafter, embodiments will be described in detail with reference to exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same reference numerals are used to refer to the same components as much as possible, even if displayed on different drawings. In addition, in describing the embodiment, when it is determined that the detailed description of the related well-known configuration or function interferes with the understanding of the embodiment, the detailed description thereof will be omitted.

In addition, in describing the components of the embodiment, terms such as first, second, A, B, (a), and (b) may be used. These terms are only for distinguishing the components from other components, and the nature, order or order of the components are not limited by the terms. If a component is described as being "connected", "coupled" or "connected" to another component, that component may be directly connected or connected to that other component, but there is another component between each component. It will be understood that may be "connected", "coupled" or "connected".

Components included in any one embodiment and components including common functions will be described using the same names in other embodiments. Unless stated to the contrary, the description in any one embodiment may be applied to other embodiments, and detailed descriptions thereof will be omitted in the overlapping range.

1 illustrates a configuration of a cosmetic recommendation system through skin diagnosis according to an embodiment, and FIG. 2 illustrates a process of recommending cosmetics in a cosmetic recommendation system through skin diagnosis according to an embodiment, and FIG. 3 is an image. 4 shows quantitative tone information for skin and cosmetics, FIGS. 5A and 5B show examples of the first and second classification criteria, and FIG. A cosmetic recommendation scheme is shown, and FIG. 7 shows a second cosmetic recommendation scheme.

1 or 2, the cosmetic recommendation system 10 through skin diagnosis according to an exemplary embodiment may include an image photographing unit 100, an image processing unit 200, and a cosmetic recommendation unit 300.

The image capturing unit 100 may capture an image of the skin.

In this case, the image capturing unit 100 may be provided as a camera or a camera device provided in a mobile device or a smartphone.

In addition, the image capturing unit 100 may be implemented as a multispectral system to acquire a multispectral image of various wavelength bands.

In particular, as shown in FIG. 3, the image capturing unit 100 may generate an image cube composed of multispectral images of various wavelength bands after capturing a plurality of multispectral images of the skin.

As such, the image cube generated by the image capturing unit 100 may be transmitted to the image processing unit 200.

In this case, the image processing unit 200 may be configured in a separate server or may be embedded in the same device as the image capturing unit 100.

The image processor 200 may include an image conversion member 210, an image correction member 220, and an image conversion member 230.

The image switching member 210 may receive an image cube or a multispectral image generated from the image capturing unit 100 to convert a black and white image.

In detail, the image cube received from the image capturing unit 100 may be an RGB color image. In this case, the image conversion member 210 may perform achromatic color conversion or gray scale conversion on the image cube received from the image capturing unit 100 by the following equation.

Where R is the intensity of the red pixels in the image cube,

G is the intensity of the green pixels in the image cube,

B is the intensity of the blue pixels in the image cube,

Out is the intensity of the image cube converted to achromatic.

Additionally, the image conversion member 210 may acquire spectroscopic indicators on the skin after performing achromatic or black and white conversion.

In this case, the spectroscopic indicator for the obtained skin may be used to acquire quantitative tone information for the skin later.

Then, the image correction member 220 may correct or calibrate the spectral index obtained by the image conversion member 210 in consideration of the variation of the exposure value and the light irradiation amount according to the system battery, the communication state, and the state of the smartphone. have.

In addition, in the image correcting member 220, the multispectral image converted by the image switching member 210 may be corrected.

In this case, the quantitative tone information on the skin may be obtained from the multispectral image corrected by the image correction member 220.

On the other hand, the image conversion member 230 may convert the format of the multispectral image to implement a multi-dimensional image. For example, the image conversion member 230 may convert the format of the multispectral image into a tagged image file format (tiff).

As such, the image processor 200 may acquire quantitative tone information of the skin photographed by the image capturing unit 100 through an image processing process. Thus, the image processing unit 200 may have any configuration as long as it can obtain quantitative tone information about the skin from the multispectral image captured by the image capturing unit 100.

In addition, although not specifically illustrated, it is natural that the quantitative tone information of the cosmetic may be obtained through the image capturing unit 100 and the image processing unit 200 described above.

As described above, the quantitative tone information about the skin obtained by the image processor 200 may be transmitted to the cosmetic recommendation unit 300.

The cosmetic recommendation unit 300 may recommend cosmetics based on quantitative tone information about the skin obtained by the image processing unit 200.

In detail, the cosmetic recommendation unit 200 may store quantitative tone information about a plurality of cosmetics in advance, and recommend a cosmetic having quantitative tone information closest to the quantitative tone information obtained from the image processing unit among the plurality of cosmetics.

Referring to FIG. 4, quantitative tone information for various manufacturers and various cosmetic products may be stored in advance as a cosmetic DB in the cosmetic recommendation unit 300.

For example, the quantitative tone information of Foundation No. 1 is 129.84, the quantitative tone information of Foundation No. 2 is 146.60, the quantitative tone information of Foundation No. 3 is 127.04, and the quantitative tone information of Foundation No. 4 is 113.08. For example, the quantitative tone information of Foundation No. 5 may be 114.50, and the quantitative tone information of Foundation No. 6 may be 109.72. As such, quantitative tone information for various manufacturers and various cosmetic products may be stored in advance as a cosmetic DB in the cosmetic recommendation unit 300.

In addition, the quantitative tone information obtained by the image processor 200 may be transmitted to the cosmetic recommendation unit 300.

For example, the quantitative tone information about the skin of the first user is 134.40, the quantitative tone information about the skin of the second user is 98.94, the quantitative tone information about the skin of the third user is 100.28, and the fourth user's The quantitative tone information for the skin may be 102.66, and the quantitative tone information for the skin of the fifth user may be 113.61.

In addition, referring back to FIG. 2, the cosmetic recommendation unit 300 converts the multispectral converted by the image conversion member 230 before recommending the cosmetic product based on the quantitative tone information about the skin obtained by the image processing unit 200. You can classify your skin tone by analyzing the image based on the image.

Specifically, the cosmetic recommendation unit 300 primarily classifies the skin tone of the user through image matching from an image photographed by the image capturing unit 100, in particular, a multispectral image converted by the image converting member 230. Can be classified according to.

Referring to FIG. 5A, first classification criteria for primarily classifying skin tones of a user may include warm tones, cool tones, and neutral tones.

In this case, the first classification criterion may be a criterion for classifying the skin tone of the user according to the skin color.

The worm tone is a base (yellow base) in which the skin color is mainly yellow, and the skin tone is strongly yellow in color and there is no redness. In the case of warm tones, warm colors are appropriate, for example, warm colors such as beige, gray and brown.

The cool tone is a skin base (blue base) in which the skin color feels reddish. In general, a blue-based color, such as bright white, hot pink, red color, and silver, is basically a bright white color.

The neutral tone is a neutral tone having both elements of worm tone and cool tone, and has a yellow image of a healthy image as a whole, but has redness on the cheeks or a skin tone that is neither yellow nor red.

As such, the cosmetic recommendation unit 300 primarily warms the skin tone of the user according to the skin color through image matching from an image photographed by the image capturing unit 100, in particular, a multispectral image converted by the image conversion member 230. , Coolton and Neutralton.

In addition, the cosmetic recommendation unit 300 may classify the user's skin tone according to the second classification criteria by reflecting the user's taste through the first classification result and the self-diagnosis.

Referring to FIG. 5 (b), the second classification criteria for second classifying the skin tone of the user may include general skin tone (A), red skin tone (B), yellow skin tone (C), and pale skin tone (D). have.

In this case, the second classification criterion may be a criterion for classifying the skin tone of the user according to the brightness of the skin tone.

For example, in the case of a worm tone, according to the brightness of the skin tone, it may be classified into bright and transparent yellow skin, calm yellow skin without blood color, and coppery healthy yellow skin. Coolon can be classified into clean, bright and red skin, good complexion and soft skin, and cool and dark skin depending on the brightness of skin tone.

Although not shown in detail, a self-diagnosis list for classifying skin tones according to a second classification criterion may be presented to the user, and the self-diagnosis list may be used to identify questions and user's tastes to help identify the skin tone of the user. This can include questions that can be identified. In this case, the user's skin tone may be classified into one of general skin tone (A), red skin tone (B), yellow skin tone (C), and pale skin tone (D) by corresponding to the self-diagnosis list.

The aforementioned second classification criteria may be the same as the criteria for classifying a plurality of cosmetics stored in the cosmetics DB.

For example, as shown in Figure 5 (b), N1 (nude ivory) is a foundation having a clear cream ivory color, which is included in the category of general skin tone (A), can produce a bright and clean skin. G1 (gold ivory) is a foundation having a natural ivory color, is included in the category of red skin tone (B), it can produce a three-dimensional skin. F2 (Rose Porcelain) is a foundation having a natural rose ivory color, which is included in the category of yellow skin tone (C), and can produce warm and healthy skin. F1 (rose ivory) is a foundation having a bright rose ivory color, which is included in the category of pale skin tone (D), and can produce lively skin.

As described above, the first part of the plurality of cosmetic products stored in the cosmetic DB is included in the category of general skin tone A, and the second part of the plurality of cosmetic products stored in the cosmetic DB is included in the category of red skin tone B, and the cosmetic DB The third part of the plurality of cosmetics stored therein may be included in the category of yellow skin tone (C), and the fourth part of the plurality of cosmetics stored in the cosmetics DB may be included in the category of pale skin tone (D).

Furthermore, if the skin tone of the user is classified into one of the general skin tone (A), red skin tone (B), yellow skin tone (C) and pale skin tone (D), the category of general skin tone (A), the category of red skin tone (B) One or more cosmetics may be recommended among cosmetics included in one of the categories of yellow skin tone (C) and pale skin tone (D).

For example, when the skin tone of the user is classified into the general skin tone A according to the second classification criteria, one or more cosmetic products may be recommended among the cosmetic products included in the category of the general skin tone A. Alternatively, when the skin tone of the user is classified as red skin tone (B) according to the second classification criteria, one or more cosmetic products may be recommended among cosmetics included in the category of red skin tone (B). Alternatively, when the skin tone of the user is classified as a yellow skin tone (C) according to the second classification criteria, one or more cosmetic products may be recommended among cosmetics included in the category of the yellow skin tone (C). Alternatively, when the skin tone of the user is classified as pale skin tone (D) according to the second classification criteria, one or more cosmetics may be recommended among cosmetics included in the category of pale skin tone (D).

Here, when one or more cosmetics among the cosmetics included in the category of the general skin tone (A) is recommended, when one or more cosmetics among the cosmetics included in the category of the red skin tone (B), the category of the yellow skin tone (C) When recommending one or more cosmetics among the cosmetics contained in, or when recommending one or more cosmetics among the cosmetics included in the category of pale skin tone (D), the quantitative tone information obtained from the image processing unit 200 and the cosmetic recommendation unit ( Quantitative tone information for a plurality of cosmetic products previously stored in 300 may be used.

Specifically, referring to FIG. 6, in the first cosmetic recommendation method, the cosmetic recommendation unit 300 classifies the skin according to the first classification criteria and the second classification criteria and finally the skin tone of the user is red skin tone (B). In the case of the classification, cosmetics that can calculate quantitative tone information that is the same as or close to the quantitative tone information of the skin among cosmetics included in the category of red skin tone (B) may be recommended.

In this case, since the quantitative tone information of the skin is 134.40, cosmetics included in the category of red skin tone (B) No. 2 cosmetics having quantitative tone information 129.84 or No. 3 cosmetics having quantitative tone information 146.60 may be recommended.

In addition, referring to FIG. 7, in the second cosmetic recommendation method, the cosmetic recommendation unit 300 may calculate quantitative tone information that is the same as or close to the quantitative tone information of the skin according to the first classification criteria and the second classification criteria. Formulations of cosmetics may be recommended.

Specifically, since the quantitative tone information of the skin is 134.40, a combination of No. 3 cosmetics having quantitative tone information of 146.60 and No. 5 cosmetics having quantitative tone information of 109.72 among cosmetics included in the category of red skin tone (B) may be recommended. .

As described above, the cosmetic recommendation unit 300 may recommend a combination of cosmetics included in different categories even in the same lake according to the user's skin taste.

Although not specifically illustrated, in some cases, for example, according to the user's preference, among the cosmetics included in the category of red skin tone (B), it is included in the category of cosmetics No. 3 and red skin tone (B) having a quantitative tone information of 146.60. Naturally, the combination of No. 5 cosmetics with quantitative tone information of 109.72 among the cosmetic products may be recommended.

As described above, the cosmetic recommendation unit 300 may recommend a combination of cosmetics having different lakes included in the same category or the combination of cosmetics having different lakes included in different categories according to a user's taste. have.

In addition, although the description is based on the foundation of the type of cosmetics as an example, it is obvious that the type of cosmetics may include color cosmetics such as lipstick, eye shadow and the like.

The cosmetic recommendation system according to an embodiment has been described above. Hereinafter, an example in which the cosmetic recommendation system according to an embodiment is implemented as an app will be described.

8 illustrates a main screen of a cosmetic recommendation app, FIGS. 9 to 12 illustrate driving of a skin care tab in a cosmetic recommendation app, FIGS. 13 and 14 illustrate driving of an acne management tab in a cosmetic recommendation app, and FIG. 15 and 16 illustrate driving of the scalp management tab in the cosmetic recommendation app, FIG. 17 illustrates driving of the history tab in the cosmetic recommendation app, and FIG. 18 illustrates driving of the self-diagnosis tab in the cosmetic recommendation app.

Referring to FIG. 8, a plurality of tabs may be displayed on the main screen of the cosmetic recommendation app. In this case, the plurality of tabs may be categorized and include 'skin management', 'acne management', 'scalp management', 'history', 'self-diagnosis' and 'termination'.

When the user selects the 'Skin Care' tab, they are moved to 'Skin Care'.

If the user selects the 'acne management' tab, they will be moved to 'acne management'.

When the user selects the 'Scalp Management' tab, they are moved to 'Scalp Management'.

When the user selects the 'History' tab, the management history is displayed.

When the user selects the 'Self-Diagnosis' tab, the user is directed to a self-diagnostic test that can self-diagnose the skin.

If the user selects "Exit", the app will close.

9 to 12, the skin care tab in the cosmetic recommendation app may be driven as follows.

In detail, when the user selects the 'skin management' tab on the main screen, the camera real-time screen may be displayed so that the user may photograph the skin. At this time, when the user photographs the skin, the photographed picture screen is displayed.

Then, when the user selects save, the analysis result of the skin type or skin condition is displayed on the screen. When the cosmetics recommendation tab is selected in the management warehouse, cosmetic information is displayed. In detail, the company information, the lake, and the product photograph of the cosmetic stored in the cosmetic DB may be provided. In this case, the cosmetic may include a foundation or a lipstick.

Finally, the recommended cosmetics are applied to the first photographic image.

Referring to FIGS. 13 and 14, the acne management tab in the cosmetic recommendation app may be driven as follows.

Specifically, when the user selects the 'acne management' tab on the main screen, the camera real-time screen may be displayed so that the user may photograph the skin. At this time, when the user photographs the skin, the photographed picture screen is displayed.

Then, when the user selects save, the analysis result of acne is displayed on the screen. For example, acne size data is displayed on the screen.

For example, if the number of pictures taken by the user is plural, acne size results may be analyzed separately for the plurality of pictures, and the acne state may be classified into management, goodness, and progress.

Then, when the user selects save, the data is stored in the management warehouse.

Referring to FIGS. 15 and 16, in the cosmetic recommendation app, the scalp management tab may be driven as follows.

Specifically, when the user selects the 'Scalp Management' tab on the main screen, the camera real-time screen may be displayed so that the user may photograph the skin. At this time, when the user photographs the skin, the photographed picture screen is displayed.

Then, when the user selects save, the image analyzed in black and white is displayed, and the image analysis result can be classified into management, good, in progress, and the like.

Then, when the user selects save, the data is stored in the management warehouse.

Referring to FIG. 17, the history tab may be driven as follows.

Specifically, when the user selects the 'History' tab on the main screen, the data stored in the management warehouse for skin care, acne management, and scalp management are displayed.

Referring to FIG. 18, the self-diagnostic tab may be driven as follows.

In detail, when the user selects the 'self-diagnosis' tab on the main screen, the skin self-diagnosis test window is displayed, and when the user selects YES or NO, the diagnosis result is displayed on the screen.

As described above, the cosmetic recommendation system through skin diagnosis according to an embodiment may compare the quantitative results of the skin tone with the cosmetic DB and recommend cosmetics and lipsticks to the customer, and apply the recommended cosmetics to the currently photographed image. You can preview it.

Although embodiments have been described with reference to the accompanying drawings as described above, various modifications and variations are possible to those skilled in the art from the above description. For example, the described techniques may be performed in a different order than the described method, and / or components of the described structure, apparatus, etc. may be combined or combined in a different form than the described method, or may be combined with other components or equivalents. Appropriate results can be achieved even if they are replaced or substituted.

10: Cosmetic Recommendation System through Skin Diagnosis
100: image recording unit
200: image processing unit
210: image transition member
220: image correction member
230: Image transformation member
300: cosmetics recommendation department

Claims (4)

An image photographing unit which photographs an image of the skin;
An image processor for analyzing the image photographed by the image capturing unit to obtain quantitative tone information; And
Cosmetic recommendation unit for recommending a cosmetic or cosmetic formulation based on the quantitative tone information obtained by the image processing unit;
Including,
The cosmetic recommendation unit prestores quantitative tone information of a plurality of cosmetics, and the cosmetic recommendation unit recommends cosmetics or a combination of cosmetics that can calculate quantitative tone information that is equal to or close to quantitative tone information obtained by the image processing unit. Cosmetic recommendation system through skin diagnosis.
The method of claim 1,
The cosmetic recommendation unit,
First, skin tones are classified according to a first classification criterion from the image photographed by the image capturing unit.
Secondly, the self-diagnosis classifies the skin tone according to the second classification criteria,
The second classification criterion is a cosmetic recommendation system through the same skin diagnosis as the classification criteria of the plurality of cosmetic products.
The method of claim 1,
The image capturing unit and the cosmetics recommending unit are implemented through a mobile device, and cosmetics recommendation is displayed through the mobile device an image to which the cosmetics or a combination of cosmetics recommended by the cosmetics recommending unit is displayed on the image photographed by the image capturing unit. system.
The method of claim 1,
The image capture unit generates a multispectral image,
The image processing unit,
An image conversion member for converting the multispectral image transmitted from the image capturing unit into a black and white image and obtaining spectroscopic indicators for the skin;
An image correction member configured to correct the multispectral image converted by the image conversion member or the spectral index obtained by the image conversion member; And
An image conversion member for converting a format of the multispectral image corrected by the image correction member to implement a multi-dimensional image;
Including,
The quantitative tone information cosmetic recommendation system through the skin diagnosis is obtained from the multispectral image corrected in the image correction member.

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