KR102299813B1 - Method For Evaluating Application Uniformity of Makeup Cosmetics - Google Patents

Abstract

The present invention relates to a method for evaluating the uniformity of application of makeup cosmetics, comprising the steps of: a) photographing an image of the applied makeup cosmetic, and designating at least two or more local areas; b) the photographed image and c) evaluating the uniformity of application of the makeup cosmetics applied from the compared color differences. The coating uniformity evaluation method of the present invention enables quantitative and objective evaluation rather than a sensory evaluation method.

Description

Method For Evaluating Application Uniformity of Makeup Cosmetics

The present invention relates to a method for evaluating the uniformity of application of makeup cosmetics, and more particularly, to a method for evaluating whether makeup cosmetics are applied to the skin with a uniform thickness when applied.

Make-up cosmetics should have excellent properties that spread evenly on women's skin with a uniform thickness. In general, applicability, which is one of the cosmetic quality evaluation factors, refers to the property of applying a uniform amount to the skin without clumping or hardening at the moment when makeup cosmetics are applied to the skin and the user's feel.

After applying makeup cosmetics to the skin, as time goes by, the sense of adhesion to the skin decreases due to sweat and sebum, and the makeup cosmetics are lifted or collapsed, making it difficult to maintain the appearance desired by the user.

If the makeup cosmetics are not applied with a uniform thickness, the color shown on the exterior is not uniformly expressed in the color desired by the user, and it gives an artificial feeling, so that the re-applied is continued. In order to improve the spreadability, research on improving the lipophilic component, such as an emulsification aid, a powder containing a mineral, a thickener, and the like, and adding it to makeup cosmetics is being actively conducted.

Although various make-up cosmetics with improved application properties are being developed, sensory evaluation is the mainstream for their evaluation. The sensory evaluation uses the sensory organs of users with different personalities, and there is a problem in that it is a subjective result. In particular, even if the sensory evaluation is performed on the feel of a user when a makeup cosmetic is spread among spreadability, a more quantitative and objective method is needed to evaluate the uniformity of application, which is a property of spreading with a uniform thickness.

Method and device for detecting cosmetic residues on the skin (Japanese Patent Application Laid-Open No. 1996-233733)

An object of the present invention is to provide an evaluation method capable of quantitatively and objectively evaluating the application uniformity of makeup cosmetics.

The present invention has been devised to solve the above problems, and the method for evaluating the application uniformity of the makeup cosmetics of the present invention is a) taking an image of the applied makeup cosmetics, and adding at least two or more to the image. designating local areas; b) comparing the color differences of the photographed images; and c) evaluating the application uniformity of the applied makeup cosmetics from the compared color differences.

The makeup cosmetics applied in step a) may be applied by stretching the makeup cosmetics in one direction by external pressure. It is preferable that the local areas in step a) have positions spaced apart from the center of the total applied area by the same distance in opposite directions. For example, the local areas in step a) may be respectively formed at 1/2 of the radius length among the total applied area.

It is preferable that the color difference comparison in step b) is calculated from _{the difference (D 1} ) of hue-saturation-brightness (HSB) color code values compared to the hue, saturation, and brightness of the image. The color difference comparison in step b) includes a method of calculating a color-difference meter (ΔE) value that compares the color, brightness, and chroma of the image. Alternatively, the color difference comparison in step b) may include a method of calculating the difference between RGB color code values.

The method of evaluating the application uniformity of step c) includes matching the index index for evaluating the uniformity according to the color difference with the result value of the color difference obtained in step b). In order to increase the reliability of the evaluation result of the present invention, the imaging in step a) is repeated at least 4 times for the same or different local areas, and the color difference comparison in step b) is an image obtained by imaging a plurality of images. It can be calculated as a numerical value calculated as an average of the result values obtained by comparing the color differences between the two.

The method for evaluating the application uniformity of makeup cosmetics according to the present invention provides quantitative and objective application uniformity information. The reliability of evaluation can be increased by designating a part separated by the same distance from the center of the total area of the applied makeup cosmetics as a local area. In addition, the color difference comparison in the present invention enables quick and accurate evaluation by applying a Hue-Saturation-Brightness (HSB) color code value. In addition, when evaluating the application uniformity, by using the index index for evaluating the uniformity according to the color difference, it is possible to evaluate the absolute rather than the relative evaluation between the test products.

1 is a flowchart of performing a makeup evaluation method according to an embodiment of the present invention.
2 is an image illustrating a process of applying makeup cosmetics according to an embodiment of the present invention to a test plate.
FIG. 3 is an image showing a process of selecting local areas of the makeup cosmetics applied in FIG. 2 .
FIG. 4 is a graph showing the chrominance values (standard deviation values used) obtained using the Image Pro Plus program for the local areas shown in FIG. 3 .

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following detailed description of the present invention is set forth in specific embodiments in which the present invention may be practiced and is set forth in sufficient detail to enable those skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different but need not be mutually exclusive. Accordingly, the detailed description given below is not intended to be limiting, and the scope of the present invention should be taken to cover all the scope of the claims and their equivalents.

In order to achieve the object described above, the method for evaluating the uniformity of application of makeup cosmetics according to the present invention comprises the steps of: a) imaging at least two or more local areas of the applied makeup cosmetics; b) the photographed image comparing the color differences of , and c) evaluating the application uniformity of the applied makeup cosmetics from the compared color differences. The configuration of each step is described in detail as follows.

< a) step - local area designation >

1 is a flowchart of performing a makeup evaluation method according to an embodiment of the present invention.

Referring to FIG. 1 , step a) first applies makeup cosmetics to the upper surface of the test plate using a tool (a-1). Next, an image of the applied makeup cosmetics is photographed, and local areas are designated in the photographed image (a-2).

In step (a-1), the "make-up cosmetics" refers to all cosmetics that are applied to the human body and can be used to supplement the user's beauty. For example, it includes a makeup primer, foundation, makeup base, face powder, compact powder, twin cake, powder pact, powder, sunscreen, concealer, and the like. In the present invention, makeup cosmetics are products to be evaluated for evaluating the uniformity of application.

A tool that can be used to apply makeup cosmetics is generally not limited as long as it can apply uniform pressure. For example, makeup cosmetics may be applied by hand, brush, sponge foam, puff, roller, or the like. However, in order to increase the reliability of the evaluation result, it is preferable to use a roller capable of applying a uniform pressure.

In order to apply makeup cosmetics, it may be applied to actual human skin. However, in this case, there are variables that may affect the color of the image when taking an image of makeup cosmetics applied by points of human skin, sebum, skin tone, wounds, enlarged pores, and the like. Therefore, it is preferable to apply the makeup cosmetics to the upper surface of a flat, single-color test plate for evaluation. For example, it is preferable to use a bio skin plate having a texture, flexibility, and elasticity similar to that of human skin, and more preferably a bio skin plate made of polyurethane-elastomer.

First, a certain amount of makeup cosmetics is dropped on the upper surface of the test plate. Then, applying a uniform pressure using a tool such as a roller is applied by pushing in one direction. At this time, the number of times of application or the number of rolling (rolling) using a roller or the like may be performed a plurality of times. However, it is preferable to roll in one direction until the makeup cosmetics are completely stretched and applied on the upper surface of the test plate in order to increase the reliability of the evaluation result.

In step (a-2), an image of the applied makeup cosmetics is taken. It is preferable to take an image in an environment in which the same illuminance is applied to the area of the photographing method. It is desirable to use a high-resolution imager capable of capturing the color, brightness, and saturation of local areas.

Then, local areas are designated on the captured image. “Local areas” refer to a part of the area where makeup cosmetics are applied on the upper surface of the test plate, and refer to the area that can be photographed to check the uniformity of application by contrasting the color of the mutual image. . The local areas may be designated at at least two or more mutually spaced apart (spaced apart) locations. Designation of local areas may designate at least four or more plural parts in order to increase reliability of evaluation.

However, when designating the local areas, it is preferable to select points separated by the same distance in opposite directions from the center of the applied makeup cosmetics. For example, the local areas may each select a point half the radius of the total area applied.

< b) step- color difference contrast>

b) The color difference contrast step is a step of confirming the color property of images of local areas (b-1), and a step of calculating a color difference value through color property information (b-2) may include.

In step (b-1), the data information model in which the color of the image is subdivided and classified may be used to check the attribute information of the color. For example, a Hue-Saturation-Brightness (HSB) color code may be used. HSB color code is a Hue, Saturation, and Brightness model, which is one of the color models used to describe colors in computer graphics. provide the code. The hue (hue) has a code that is also expressed in degrees (°), red for 0° code, yellow for 60° code, green for 120° code, cyan for 180° code, blue for 240° code, and blue for 300° code. shows reddish purple. Saturation indicates the amount of color, and a code may be assigned as a percentage according to the amount. Brightness is the amount of white, and if 0% is black, it can be coded as white if it is 100%. From the codes described above, the property of color of images of local areas can be confirmed.

Also, in step (b-1), the color property may be checked using the RGB color code. The RGB color code is a color model that defines a color by mixing red, green, and blue, and is classified into codes according to the amount of mixed colors.

In step (b-2), the step of calculating the color difference value may be calculated as a numerical value of the degree of color difference through the color attribute. The color difference value includes a difference (D ₁ , D ₂ ) of color code values, a color-difference meter (ΔE) value, an average value thereof, and a standard deviation value of examples described below.

For example, by substituting the above-described HSB codes into Equation I below, a difference D ₁ between color code values may be calculated.

[Equation I]

D ₁ = |H ₁ - H ₂ | + |S ₁ - S ₂ | + |B ₁ - B ₂ |

[H ₁ , S ₁ , B ₁ are Hue, Saturation, and Brightness code values _{of the first local area, and H 2} , S ₂ , B ₂ are Hue of the second local area. ), Saturation, and Brightness code values]

Also, the RGB color codes described above may calculate _{the difference D 2 of color code values in a similar manner.} For example, by substituting the RGB color code into Equation II below, the difference (D ₂ ) between the color code values may be calculated.

[Equation II]

D ₂ = |R ₁ - R ₂ | + |G ₁ - G ₂ | + |B ₁ - B ₂ |

(R ₁ , G ₁ , B ₁ are Red, Green, and Blue color code values of the first local area, and R ₂ , G ₂ , B ₂ are Red, Green, and Blue color code values of the second local area)

The color difference comparison in step b) may be calculated using a color-difference meter (ΔE) value that compares the color, brightness, and chroma of the image. When a plurality of color difference values are obtained by photographing a plurality of images four or more times for the same or different local areas in step a) of the present invention, a numerical value calculated as an average thereof may be used as a color difference value. In addition, a plurality of color difference values may be obtained even in one local area. In this case, the standard deviation value of the plurality of color difference values may be used as the color difference value.

The examples described above are preferred examples of performing step b), and all methods of contrasting colors of images should be interpreted as being included in step b) of the present invention.

< c) stage - evaluation stage >

Evaluate the uniformity of application of the makeup cosmetics to be evaluated by comparing the result obtained through the comparison of the color difference calculated in step b). For example, if the makeup cosmetics are uniformly applied, the color difference value of the local areas becomes small. On the other hand, if the makeup cosmetics are not uniformly applied, the color difference value of the local areas becomes large. In the example of step b), the difference in color code values using HSB codes (D ₁ ), the difference in color code values using RGB codes (D ₂ ), Color-Difference Meter (ΔE) values, or their Standard deviation values, average values, etc. can be important factors in the evaluation of coating uniformity.

If the color difference values of A makeup cosmetics and B makeup cosmetics tested under the same conditions are 3 and 6, respectively, it can be evaluated that the A makeup cosmetics have twice the application uniformity than the B makeup cosmetics.

Step c) of the present invention includes an absolute evaluation using an index index in addition to the relative evaluation method. For example, the index index may be prepared by examining a sample of makeup cosmetics by the evaluation method of the present invention, statisticizing the color difference value, and classifying the uniformity of application by grade.

Table 1 below is an example of an index index introduced to absolutely evaluate _{the difference (D 1} ) of the HSB color code values.

ranking Color difference value (HSB color code value difference) One 6 or less 2 More than 6 to less than 8 3 More than 8 to less than 10 4 More than 10 ~ 15 or less 5 over 15

The color code value of the makeup cosmetics to be evaluated can be obtained through steps a) and b) of the present invention, and the grade can be evaluated by matching it with the index index as shown in Table 1.

Hereinafter, the method for evaluating the application uniformity of the makeup cosmetics of the present invention will be described in more detail through examples of the present invention, but the present invention is not limited to these examples.

<Example>

2 is an image illustrating a process of applying makeup cosmetics according to an embodiment of the present invention to a test plate.

To evaluate the uniformity of application of makeup cosmetics, a tool having the following specifications was used.

- Bio skin plate

Beaulax's 195mm X 130mm X 5mm size bio skin plate was used, and the material is urethane-elastomer.

- Roller

A roller having a flat surface and a width of 3 cm and a diameter of 3.2 cm was used.

- Color code detection program

Image Pro-plus program was used. Image Pro Plus provides a code value representing the color attribute of an image taken of local areas. The code value standard for Image Pro Plus is HSB (Hue-Saturation-Brightness), and the properties of Hue, Saturation, and Brightness are provided as code values.

As shown in FIG. 2 , makeup cosmetic products 1 and 2, which are to be evaluated, were removed from the bio skin plate on the upper surface of the bio skin plate. Thereafter, the products 1 and 2, which were removed by applying a uniform pressure using a roller, were applied by pushing them in one direction.

FIG. 3 is an image showing a process of selecting local areas of the makeup cosmetics applied in FIG. 2 .

As in the image of FIG. 3 , the local areas of product 1 and product 2 were designated on the captured image. Designation of local areas was performed in Image Pro Plus, a program for subtracting HBS color codes. For the designation of the local areas, the local area 1 and the local area 2 were assigned to the parts at the same distance from the center in the longitudinal direction where the products 1 and 2 were applied on the upper surface of the bio skin plate. In addition, in the case of product 2, local area 3 and local area 4 were designated in the same manner as the local area designation of product 1.

Then, the HSB color code value of each designated local area is obtained from the image pro-plus program. The Image Pro-Plus program numerically calculates the Standard Deviation of the HBS color code values of each local area. Therefore, when the uniformity of application is high, the standard deviation value is small.

FIG. 4 is a graph showing the chrominance values (standard deviation values used) obtained using the Image Pro Plus program for the local areas shown in FIG. 3 .

For product 1, local area 1 has a color difference value (using standard deviation values) of 5.4 and local area 2 is 5.7. For product 2, local area 3 is 6.6 and local area 4 is 10.6. It can be seen that product 1 has a smaller color difference value than product 2, so the color difference is small even in one local area. The difference between the chrominance values of the local areas 1 and 2 is 0.3, and the difference between the chrominance values of the local areas 3 and 4 is 4.0. Accordingly, product 1 is smaller than product 2 even in the difference in color difference between local areas separated for each product. Therefore, it was confirmed that product 1 had higher uniformity of application than product 2.

Claims (11)

a) taking an image of the applied makeup cosmetics, and designating at least two or more local areas in the image;
b) comparing the color differences of the photographed images; and
c) evaluating the application uniformity of the applied makeup cosmetic from the compared color difference;
The method for evaluating the application uniformity of step c) is performed by matching the index index for evaluating the uniformity according to the color difference with the result value of the color difference obtained in step b).
According to claim 1,
The method for evaluating the uniformity of application of makeup cosmetics, characterized in that the makeup cosmetics applied in step a) are applied by stretching the makeup cosmetics in one direction by an external pressure.
3. The method of claim 2,
The method for evaluating the uniformity of application of makeup cosmetics, characterized in that the local areas applied in step a) are spaced apart by the same distance in opposite directions from the center of the total applied area.
4. The method of claim 3,
The method for evaluating the uniformity of application of makeup cosmetics, characterized in that the local areas applied in step a) are respectively formed at 1/2 the radius of the total area applied.
According to claim 1,
The color difference comparison of step b) is calculated from _{the difference (D 1} ) of the Hue-Saturation-brightness (HSB) color code value compared to the hue, saturation, and brightness of the image. .
6. The method of claim 5,
_{The difference (D 1} ) of the HSB color code value is a method for evaluating the application uniformity of makeup cosmetics, characterized in that calculated from the following Equation I.

[Equation I]
D ₁ = |H ₁ - H ₂ | + |S ₁ - S ₂ | + |B ₁ - B ₂ |
[H ₁ , S ₁ , B ₁ are Hue, Saturation, and Brightness code values _{of the first local area, and H 2} , S ₂ , B ₂ are Hue of the second local area. ), Saturation, and Brightness code values]
According to claim 1,
The color difference comparison in step b) comprises a method of calculating a color-difference meter (ΔE) value in contrast to the color, brightness, and chroma of the image.
According to claim 1,
The color difference comparison in step b) is a method for evaluating the application uniformity of makeup cosmetics, characterized in that it is calculated from _{the difference (D 2 ) of the RGB color code values.}
9. The method of claim 8,
_{The difference (D 2} ) of the RGB color code values is a method for evaluating the uniformity of application of makeup cosmetics, characterized in that calculated from the following Equation II.

[Equation II]
D ₂ = |R ₁ - R ₂ | + |G ₁ - G ₂ | + |B ₁ - B ₂ |
[R ₁ , G ₁ , B ₁ are Red, Green, and Blue color code values of the first local area, and R ₂ , G ₂ , B ₂ are Red, Green, and Blue color code values of the second local area]
delete According to claim 1,
The imaging of step a) is repeated at least 4 times for the same or different local areas,
The color difference comparison in step b) is a method for evaluating the application uniformity of makeup cosmetics, characterized in that the result values obtained by comparing the color differences of images obtained by photographing a plurality of images are calculated as an average or standard deviation.

Images