KR20170062676A - Visualization method of skin feature - Google Patents

Abstract

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a skin characteristic visualization method,
(a) measuring numerical data on skin characteristics of an analysis area and inputting a base image in a visualization program;
(b) setting a numeric data input area on the base image displayed in the visualization program;
(c) inputting numerical data to the visualization program and setting a color palette area; And
(d) obtaining a visualized image constructed from the visualization program.
According to the skin characteristic visualization method of the present invention, a plurality of numerical data can be integrally constructed as one visualized image, and the skin characteristic distribution and change of the analysis area can be more effectively confirmed.

Description

{Visualization method of skin feature}

The present invention relates to a skin characteristic visualization method for conveniently and effectively confirming the distribution tendency and change of skin characteristic indexes.

For many people who want to maintain beautiful and healthy skin, numerous skin care programs and functional cosmetic compositions and compositions for external application for skin are being provided. However, the skin condition of each individual shows various characteristics depending on the inherent characteristics, skin care products used, and environment changes. Therefore, it is essential that the process of confirming the characteristic and the degree of change of the skin to be applied is indispensable not only in the preceding stage for skin care, but also in the research and testing stage of cosmetics.

In order to evaluate skin characteristics, it is possible to use, for example, oil / moisture content, transdermal water loss (TEWL), elasticity, gloss, transparency, color, pigmentation, stain / spots, sebum secretion, wrinkles, pores and sensitivity And a number of evaluation methods for confirming these are known. Methods for evaluating such skin characteristics are largely classified into sensory evaluation methods that can be judged through visual or tactile sense, or measurement and evaluation methods that can obtain and analyze numerical data. However, although the sensory evaluation method can be quickly and intuitively quickly confirmed, it is difficult to ensure the objectivity and accuracy of the evaluation results, and the characteristics of the evaluable skin are also limited, so that the application is limited. For example, when evaluating the elasticity of skin, the sensory evaluation is inadequate and only the degree of elasticity of the epidermis or dermis can be measured through the measuring device.

Accordingly, a measurement and evaluation method capable of measuring objectively and precisely with respect to a wide range of skin characteristics is more preferable, and various evaluation methods have been developed accordingly.

However, even in the above-described measurement and evaluation method, it is difficult to confirm the distribution or degree of change of the skin characteristic index at a glance due to the characteristic of the numerical data, and it is troublesome to perform a comparative analysis with the comparative data value. In addition, when such numerical data is intended to be effectively visualized, there is a limit in that it can only be relied on auxiliary means such as processing the data to create a graph.

Therefore, there is a great demand for the development of a new technology that can visually integrate the measured numerical data and recognize it at a glance.

Method and apparatus for skin image generation for evaluation of cosmetic efficacy (Korean Patent Laid-Open No. 10-2014-0069885)

In order to overcome the above-described conventional technical limitations, the inventors of the present invention have carried out various researches, and as a result, numerical data measured for the skin of the analysis area are visualized so as to correspond to different colors, And this method can be applied commonly to all the skin characteristic indexes that can be quantified, and it is confirmed that the method is a highly reliable evaluation method, thereby completing the present invention.

Accordingly, it is an object of the present invention to provide a method for constructing a skin characteristic index which can be quantified and measured as a single integrated visual image.

According to an aspect of the present invention,

(a) measuring numerical data on skin characteristics in an analysis area and inputting a base image in a visualization program;

(b) setting a numeric data input area on the base image displayed in the visualization program;

(c) inputting numerical data to the visualization program and setting a color palette area; And

(d) obtaining a visualization image constructed from the visualization program;

The method comprising the steps of:

According to the skin characteristic visualization method of the present invention, various skin characteristic indexes that can be measured with numerical data can be constructed as one visualized image, and the distribution tendency or degree of change of the skin characteristic from the visualized image to the entire analysis region It can be confirmed conveniently and effectively.

FIG. 1 is a flowchart illustrating a skin characteristic visualization method according to the present invention.
2 is a view of a screen before inputting a base image to a visualization program according to the present invention.
FIG. 3 is a screen view after setting a numeric data input area on a base image input to a visualization program according to the present invention.
FIG. 4 is a screen view executed to set a color palette area and set a color set point on a visualization program according to the present invention.
FIG. 5 is an image of skin elasticity analysis on a face part constructed through a visualization program according to the present invention, wherein the left side is a visual image before application of a cosmetic composition, and the right side is a visualization image after applying a cosmetic composition.
FIG. 6 is a screen view executed to set a color palette area and set a color set point in a visualization program according to an exemplary embodiment of the present invention.

The present invention provides a skin characteristic visualization method that realizes various skin characteristic indexes that can be expressed only by conventional numerical data as one integrated visual image using a visualization program.

According to the skin characteristic visualization method of the present invention, not only can the measured numerical data have a distribution tendency throughout the analysis area, but also the state change of the skin can be confirmed conveniently and effectively.

FIG. 1 is a flowchart illustrating a skin characteristic visualization method according to the present invention. Referring to FIG. 1,

(a) measuring numerical data about the characteristics of the skin of the analysis area and inputting a base image in a visualization program;

(b) setting a numeric data input area on the base image displayed in the visualization program;

(c) inputting numerical data to the visualization program and setting a color palette area; And

(d) obtaining a visualization image constructed from the visualization program;

The method comprising the steps of:

Hereinafter, the contents of the present invention will be described in more detail with reference to FIGS. 2 to 5. It is to be understood, however, that the scope of the present invention is not limited to the above embodiments, but includes all of the equivalent scope of the following description.

The step (a) of the present invention is a step of measuring numerical data concerning the skin characteristics in the analysis area and inputting the base image into the visualization program.

The skin characteristics may include all kinds of skin characteristic indexes without limitation as long as they can be quantified and measured, such as oil / moisture content, transdermal water loss (TEWL), elasticity, gloss, transparency, color, pigmentation, / Dullness, sebum secretion, wrinkles, pores, and sensitivity. The means and method of specific measurement of numerical data relating to the skin characteristics may be in accordance with conventionally known contents.

The measured numerical data is input into a visualization program in a step to be described later, and is then implemented as a visualized image according to an IDW (Inverse Distance Weighted) interpolation method. The 'IDW interpolation method' A method of predicting the value of a point to be known based on this data after obtaining an actual value is a method of determining a value of a new area using a linear weighted combination from a nearby area as a kind of spatial interpolation to be. The closer the distance is, the higher the weighting is applied.

The base image may be a background image or a picture image for displaying a color distribution according to a difference in skin characteristics in a step to be described later, and may be used to select a most suitable image according to the purpose. Preferably, a photographic image of the skin of the analysis area can be used. The analysis region may be selected from all or part of the face portion as well as any part of the body without limitation if the characteristic can be measured by numerical data. Normally, the face portion photograph is used. 2 for the sake of understanding, FIG. 2 shows an execution screen of a pre-input visualization program of the base image, and when the base image is input, it is confirmed that the program is arranged at the left side of the screen shown in FIG.

The step (b) of the present invention is a step of setting a numerical data input area on the base image shown in the visualization program.

3 is a view illustrating a screen after a numerical data input area is set on a base image input to a visualization program. Specifically, in FIG. 3, the face image is used as a base image, And 15 numerical data input areas are set in the area.

The numerical data input area is preferably set to 5 to 50, more preferably 20 to 40, based on the face portion. If the numerical data input area is less than five, the reliability of the visualized skin characteristic distribution is low. If the numerical data input area is more than 50, the measurement point is too dense and inefficient and inefficient compared to the result.

The step (c) of the present invention is a step of inputting numerical data to the visualization program and setting a color palette area.

The numerical data describes an actual value corresponding to the numerical value input area set in the step (b), which is described in the table shown in the right part of the image shown in Fig.

In setting the color pallet, the palette setting screen shown in FIG. 4 may be executed and set. The color palette area means a range of numerical values that can be visualized in color, and it is set by directly inputting the minimum value and the maximum value.

The color of a color pallet consists of a gradation shape that moves naturally from one specific point to another neighboring point so that all the values in the color pallet area correspond one-to-one with a specific color. In the present specification, the specific points are referred to as a 'color set point', and the color can be freely selected according to the analysis purpose or preference without limitation of color, brightness, and saturation at this point.

The number of color set points to be selected should be two or more, preferably two to ten. If the color set points are less than two, the color palette area is set to monochrome, If the object of the invention can not be achieved and the number of color set points is more than 10, the change in the color period is excessive and the visible data distinguishing effect can be reduced.

Particularly, since the properties of color are different from each other in color before and after the color set point, the effect of the segment fraction can be obtained. When this effect is considered, in the case of data discrimination according to the numerical range, , It is most preferable to set each set point to a color which is clearly distinguished from each other.

The step (d) of the present invention is a step of acquiring a visualized image constructed from the visualization program.

In this step, the numerical data input in the step (c) is implemented as a visual image according to the IDW interpolation method, and thus the distribution tendency of the skin characteristic data in the analysis area can be confirmed.

An example of a visualized image result constructed and obtained according to the skin characteristic visualization method of the present invention is shown in FIG. Fig. 5 is a comparison of skin elasticity before and after applying the cosmetic composition to skin, and is a result of visualizing the numerical data as shown in Table 1 below.

Measuring area Before use after use One 0.14 0.22 2 0.133 0.257 3 0.137 0.223 4 0.247 0.23 5 0.067 0.27 6 0.067 0.193 7 0.27 0.217 8 0.077 0.063 9 0.097 0.127 10 0.053 0.057 11 0.073 0.08 12 0.157 0.197 13 0.107 0.117 14 0.07 0.06 15 0.087 0.083 16 0.113 0.137 17 0.093 0.133 18 0.057 0.05 19 0.05 0.06 20 0.07 0.067 21 0.053 0.04 22 0.063 0.06 23 0.063 0.05 24 0.05 0.0447 25 0.06 0.05

The face image of the subject was used as the base image, and 25 numerical data input areas were set on the same image area as the real measurement area, and the measured values were inputted. Then, as shown in FIG. 6, the minimum value of the color palette area is set to 0.01, the maximum value is set to 0.5, and the color set point is set to six.

In the result image shown in FIG. 5, the left image shows skin characteristics before use of cosmetics, the right image shows skin characteristics after cosmetic use, and a numerical bar and its corresponding color palette are displayed on the right side of each image. When comparing the left image and the right image, it can be seen that the left image before the cosmetic application is generally pale yellow, while the right image after the cosmetic application has a dark red color on the forehead and the bulb region . Such a visual difference is intuitively easily distinguishable, and is effective because it significantly improves the visual effect compared with the judgment using only numerical data.

INDUSTRIAL APPLICABILITY As described above, the skin characteristic visualization method of the present invention can effectively check results at a glance by constructing a plurality of numerical data as one integrated visualized image, so that it is useful for skin care or research and testing of skin products Can be utilized.

Claims (7)

(a) measuring numerical data about the characteristics of the skin of the analysis area and inputting a base image in a visualization program;
(b) setting a numeric data input area on the base image displayed in the visualization program;
(c) inputting numerical data to the visualization program and setting a color palette area; And
(d) obtaining a visualization image constructed from the visualization program;
/ RTI >
The method according to claim 1,
Wherein the base image of step (a) is a photograph of the analysis area.
3. The method of claim 2,
Wherein the analysis region is a face portion.
The method according to claim 1,
The skin characteristic of step (a) is any one of oil / water content, transdermal water loss (TEWL), elasticity, gloss, transparency, color, pigmentation, stain / stain, sebum secretion, wrinkle, pore and sensitivity Of the skin.
The method according to claim 1,
Wherein the skin characteristic numerical data of step (a) is visually implemented according to IDW (Inverse Distance Wight) interpolation.
The method according to claim 1,
Wherein the numerical data input area of step (b) is set to 5 to 50.
The method according to claim 1,
Wherein the color palette has a color set point of 2 to 10 in step (c).

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