JP2013099448A - Method and system for evaluating wiping effect of make-up cosmetic - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a method and a system for objectively evaluating a wiping effect of make-up cosmetics based on actual using scenes.SOLUTION: In this method, the wiping effect of make-up cosmetics is evaluated by performing image analysis on a surface of a wiping device after the make-up cosmetics is wiped. The method includes a wiping step (a) for wiping the make-up cosmetics with the wiping device, an image data acquisition step (b) for acquiring image data from the surface of the wiping device on which the make-up cosmetics is deposited, an image conversion step (c) for converting the acquired image data to gray scale image data based on color information obtained from the image data, and a digitization step (d) for digitizing regions or amounts of the deposited make-up cosmetics based on brightness of each pixel of the gray scale image data. The wiping effect is evaluated by digitizing the regions or amounts of deposited make-up cosmetics.

Description

  The present invention relates to an evaluation method and an evaluation system for the wiping effect of makeup cosmetics.

  Conventionally, makeup cosmetics such as mascara and lipsticks are desired to be cosmetics that do not easily lose makeup. On the other hand, when removing makeup, it has been desired that makeup can be easily wiped off with cosmetic cotton. For makeup removers that are impregnated into cotton for use, development of a base having an excellent makeup removal effect is expected.

  In order to develop a makeup remover with an excellent makeup removal effect, it is necessary to have an evaluation method that can accurately and objectively evaluate the effect of wiping off makeup cosmetics, and consumers can be satisfied with the actual use situation. In order to obtain a function, it is preferable to evaluate by a test method in accordance with a consumer's usage mode. For this reason, there is usually a test method in which an experienced researcher or beauty engineer visually observes the surface of a cosmetic cotton from which makeup cosmetics have been wiped off, and performs a sensory evaluation to evaluate the makeup cosmetics. It has been adopted.

  However, such sensory evaluation is difficult to completely eliminate the variation in evaluation. In particular, makeup cosmetics such as mascara, lipstick, and enamel have a wide variety of colors and textures. It is difficult to objectively judge the degree of fall without being influenced by the same. Further, how to determine the spot where the makeup cosmetics adhering to the cosmetic cotton are blurred or drowned is likely to cause individual differences and causes variation. Furthermore, since it takes time and labor to train experienced researchers and beauty technicians, the difficulty and complexity of evaluation cannot be avoided.

  Therefore, it is possible to accurately evaluate the makeup remover effect of the makeup remover according to the actual use situation, and to efficiently promote the research and development of the makeup remover. Development of evaluation methods and evaluation systems that can provide makeup remover and makeup information is expected.

JP 2004-188189 A

  An object of the present invention is to provide an evaluation method and an evaluation system for objectively evaluating the effect of wiping off makeup cosmetics in accordance with actual use scenes.

  As a result of studies conducted by the present inventors to solve the above problems, the surface of the wiping tool after wiping off the makeup cosmetics is image-analyzed, and the area or amount to which the makeup cosmetics are attached is expressed numerically. Thus, a method by which the effect of wiping off makeup cosmetics can be objectively evaluated has been found, and the present invention has been completed.

  That is, the present invention is a method for evaluating the effect of wiping makeup cosmetics by image analysis of the surface of the wiping tool after wiping the makeup cosmetics, the wiping step of wiping the makeup cosmetics with the wiping tool ( a), an image data acquisition step (b) for acquiring image data from the surface of the wiping tool to which the makeup cosmetic is adhered, and the acquired image data is grayscale based on color information obtained from the image data An image conversion step (c) for converting to image data, and a digitization step (d) for expressing the area or amount to which the makeup cosmetic is attached from the brightness of each pixel of the grayscale image data. The wiping effect is evaluated by expressing the area or amount of the makeup cosmetic adhering as a numerical value. Which is a method of evaluating the wiping effect of the makeup cosmetic which is characterized.

  Further, the present invention provides a binarization process step (e) in which the digitization step (d) binarizes grayscale image data based on a lightness threshold value set for discriminating the makeup cosmetic. A makeup area quantification step (f) representing the area where the makeup cosmetic is adhered from the image data obtained by the binarization step (e). It is the evaluation method of the wiping off effect.

  Furthermore, the present invention calculates and digitizes the number of pixels of the area to which the makeup cosmetic has adhered from the image data obtained in the binarization processing step (e) in the adhesion area quantification step (f). This is a method for evaluating the wiping effect of makeup cosmetics.

  Furthermore, the present invention is characterized in that, in the adhesion area quantification step (f), the actual area to which the makeup cosmetic is adhered is calculated from the number of pixels in the area to which the makeup cosmetic is adhered, and is quantified. This is a method for evaluating the effect of wiping off cosmetics.

  Further, according to the present invention, the digitizing step (d) includes an integration processing step (g) for integrating the brightness of each pixel of the grayscale image data, and an integration of the brightness obtained by the integration processing step (g). A method for evaluating the wiping effect of a makeup cosmetic, characterized in that it comprises an amount-of-attachment quantification step (h) in which the amount of attachment of the makeup cosmetic is expressed from the value.

  Furthermore, the present invention provides a binarization process in which the digitizing step (d) binarizes grayscale image data based on a lightness threshold value set to discriminate particles contained in the makeup cosmetic. Obtained by the step (i), the particle number measuring step (j) for measuring the number of particles from the image data obtained by the binarization processing step (i), and the particle number measuring step (j). The method of evaluating the wiping effect of makeup cosmetics, characterized in that it comprises an adhesion amount quantification step (k) in which the amount of makeup cosmetics adhered is expressed from the number of particles.

  Furthermore, the present invention evaluates the effect of wiping off the makeup cosmetic by the makeup remover by wiping the makeup cosmetic with a wiping tool applied with a makeup remover in the wiping step (a). This is a method for evaluating the effect of wiping off cosmetics.

  Further, the present invention is a system for evaluating the effect of wiping off makeup cosmetics by image analysis of the surface of the wiping tool after wiping off makeup cosmetics, the wiping means for wiping the makeup cosmetics with the wiping tool ( A), image data acquisition means (B) for acquiring image data from the surface of the wiping tool to which the makeup cosmetic is adhered, and the acquired image data is grayscale based on color information obtained from the image data Image converting means (C) for converting into image data, and numerical means (D) for expressing the area or amount to which the makeup cosmetics are attached from the brightness of each pixel of the grayscale image data. And evaluating the wiping effect by expressing numerically the area or amount of the makeup cosmetic that has adhered It is an evaluation system of the wiping effect of the makeup cosmetic which is characterized.

  Further, the present invention provides a binarization processing means (E) for binarizing the grayscale image data based on a lightness threshold value set by the digitizing means (D) for determining the makeup cosmetic. A makeup area quantification means (F) for expressing the area where the makeup cosmetic is adhered from the image data obtained by the binarization processing step (E). It is an evaluation system of the wiping effect of.

  Further, in the present invention, the adhesion area quantification means (F) calculates and quantifies the number of pixels of the area where the makeup cosmetic is adhered from the image data obtained by the binarization processing step (E). This is a system for evaluating the wiping effect of makeup cosmetics.

  Furthermore, the present invention provides the makeup area quantification means (F) that calculates and quantifies the actual area to which the makeup cosmetic is adhered from the number of pixels in the area to which the makeup cosmetic is adhered. This is an evaluation system for the effect of wiping off cosmetics.

  Further, according to the present invention, the digitizing means (D) integrates the brightness of each pixel of the grayscale image data, and the integration of brightness obtained by the integration processing means (G). An amount-of-attachment quantification means (H) for expressing the amount of the makeup cosmetics adhering from the value.

  Further, the present invention provides a binarization process in which the digitizing means (D) binarizes grayscale image data based on a brightness threshold value set for discriminating particles contained in the makeup cosmetic. Obtained by means (I), particle number measuring means (J) for measuring the number of particles from the image data obtained by the binarization processing means (I), and the particle number measuring means (J). A method for evaluating the wiping effect of a makeup cosmetic, characterized in that it comprises an adhesion amount quantification step (K) in which the amount of makeup cosmetic applied is expressed from the number of particles.

  Furthermore, the present invention evaluates the effect of wiping off the makeup cosmetic by the makeup remover by wiping the makeup cosmetic with a wiping tool coated with a makeup remover in the wiping means (A). This is an evaluation system for the effect of wiping off cosmetics.

  According to the evaluation method or the evaluation system of the makeup cosmetics wiping effect of the present invention, the makeup cosmetics to be wiped off by the wiping tool can be expressed numerically, and the wiping effect of the makeup cosmetics can be objectively evaluated. Can do.

  In addition, the makeup cosmetic is wiped off using a wiping tool coated with a makeup remover, and the surface of the wiping tool after the makeup cosmetic is wiped off is applied using the method or system for evaluating the wiping effect of the makeup cosmetic of the present invention. By evaluating the wiping effect, the wiping effect of the makeup cosmetic by the makeup remover can be evaluated.

  When wiping off makeup cosmetics, you can obtain appropriate information for removing makeup, such as how long the wiping tool applied with makeup remover should be held against the makeup part, and use it as product information at stores can do.

  The evaluation method or the evaluation system for the wiping effect of the makeup cosmetic of the present invention is not only used as an evaluation method for developing a makeup remover having a high wiping effect, but also for developing a makeup cosmetic that is hard to fall off and has good makeup. It can also be used for evaluation.

Block diagram showing a schematic configuration of an evaluation system for the wiping effect of makeup cosmetics Schematic diagram showing the makeup cosmetics wiping operation ((a) state where remover is applied to cosmetic cotton, (b) state where mascara is wiped with cosmetic cotton) Conceptual diagram of the evaluation method for the wiping effect of makeup cosmetics Graph showing the number of pixels in the area where the binarized image and makeup cosmetics are attached A graph showing the binarized image showing the change in the wiping effect when the time for holding the cosmetic cotton coated with the remover on the heel is changed, and the number of pixels in the area where the makeup cosmetic is attached Conceptual diagram showing the lightness integration process in the adhesion amount quantification process Image for measuring the number of particles contained in makeup cosmetics (binarized image and particle count image)

  A method and system for evaluating the wiping effect of a makeup cosmetic according to the present invention will be described below with reference to the drawings.

  The present invention is a method of evaluating the effect of wiping makeup makeup by image analysis of the surface of the wiping tool after wiping makeup makeup, wiping step (a) wiping makeup makeup with a wiping tool An image data acquisition step (b) for acquiring image data from the surface of the wiping tool to which the makeup cosmetics are attached, and an image for converting the acquired image data into grayscale image data based on color information obtained from the image data A conversion step (c), and a quantification step (d) for expressing the area or amount of the makeup cosmetic adhering from the brightness of each pixel of the grayscale image data, This is a method for evaluating the wiping effect of a makeup cosmetic that evaluates the wiping effect by expressing the amount as a numerical value.

  Makeup cosmetics are cosmetics that can exert aesthetic and protective effects on the skin of consumers, such as mascara, lipstick, blusher, eye shadow, eyeliner, mascara, eyebrow, nail enamel, Product forms such as nail treatment are listed. The dosage form includes an oily type, an emulsion type, a solid type, a powder, a sheet form, a kneaded form, a liquid form, a volatile oil form, etc., but according to the evaluation method of the present invention, it can correspond to any dosage form. . However, for the image analysis in the present invention, the makeup cosmetic is preferably colored so that it can be recognized as an image. Moreover, as long as it is colored, it may be a color tone having white or metallic luster.

  The wiping tool is a tool for use in wiping off makeup cosmetics. Generally, a non-woven fabric made of cotton fibers, rayon fibers, etc. is used as a batting, and cosmetic cotton or cotton that absorbs cleansing liquid and remover liquid well. It refers to a cosmetic puff or the like, but is not limited thereto, and may be a material or shape appropriately selected according to the makeup cosmetic dosage form. Moreover, what can be used as a use which wipes off makeup cosmetics is included in the wiping tool of this invention even if the original use is not what wipes off makeup. In addition, it is preferable that the wiping tool appropriately selects the color tone in consideration of the contrast with the makeup cosmetic so that the region to which the makeup cosmetic is attached can be easily recognized. For example, in the case of make-up cosmetics with a dark color tone, the wiping tool should be white, and in the case of makeup cosmetics with a light color tone or metallic luster, the wiping tool should be close to black, and the contrast should be clear. It is preferable to do.

  A makeup remover is used for the purpose of removing makeup cosmetics such as mascara, lipstick, eyeliner, and eye color, and is applied or impregnated on a wiping tool such as cosmetic cotton. The properties of makeup removers are generally liquid or gel, and dosage forms include oil types, oil-in-water types, and water-in-oil types, but are not limited to these and can be arbitrarily selected. . Moreover, even if the original use is not for removing makeup, those that can be used for the purpose of removing makeup cosmetics are included in the makeup remover in the present invention.

  The wiping step (a) is a step for wiping the makeup cosmetic using a wiping tool (FIG. 3 (a)). By measuring and evaluating the surface of a wiping tool after wiping off makeup cosmetics, it is possible to develop a makeup remover with a high level of satisfaction for consumers. Consumers often determine the wiping effect of makeup cosmetics by looking at the surface of a wiping tool, and are intended to obtain evaluation results corresponding to such daily decisions made by consumers.

  In the image data acquisition step (b), image data is acquired from the surface of the wiping tool after the makeup cosmetic is wiped off, and the state of the makeup cosmetic adhered to the surface of the wiping tool is taken into the computer as image data. The image data is obtained by scanning the surface of the wiping tool, or is obtained by taking a picture with a digital camera, and is digital image data obtained by quantifying the density and color information of the image (FIG. 3). (I)). The image data can be applied by appropriately selecting various formats such as TIFF, BMP, and JPEG according to the file format setting.

  The image conversion step (c) is a step of converting the image data acquired in the image data acquisition step (b) into grayscale image data (FIG. 3 (C)). The image data acquired in the image data acquisition step (b) has color information, and generally has a format including R (red), G (green), and B (blue) information for each pixel. The color information format can be converted into a format including three elements of brightness, hue, and saturation by computer processing. For example, conversion from RGB values to lightness (V) can be performed by the formula V = 0.299 × R + 0.587 × G + 0.114 × B, and image data is converted to grayscale image data with lightness (V). Can be converted to

  In the digitization step (d), the area to which the makeup cosmetics are attached is expressed numerically from the brightness of each pixel of the converted grayscale image data, or the amount of the makeup cosmetics attached is expressed numerically. It is this process.

  The digitization of the area to which the makeup cosmetic is attached includes a binarization processing step (e) for binarizing the grayscale image data based on a lightness threshold value set for discriminating the makeup cosmetic, This can be done by performing an adhesion area quantification step (f) in which the area to which makeup cosmetics are adhered is digitized from the processed image data.

  The binarization process step (e) sets the threshold value for distinguishing between the surface of the wiping tool and the makeup cosmetics with respect to the brightness and discriminates for each pixel, thereby making the image data and the areas where the makeup cosmetics exist. It is divided into areas that are not to be processed (FIG. 3D).

  For example, when the makeup cosmetic is a dark-colored cosmetic such as mascara, the brightness threshold is set to V = 175, for example, and an area of 175 or less is identified as an area to which the makeup cosmetic is attached. On the other hand, if the makeup cosmetic is light-colored cosmetics such as lip gloss, use a dark-colored wiping tool to clarify the contrast between the makeup cosmetic and the wiping tool. In addition, it is possible to recognize the portion where the brightness is higher than the threshold as the region where the makeup cosmetic is attached.

  Make-up cosmetics do not have a clear contrast between the base color of the make-up cosmetic and the color of the wiping tool, such as when wiping light-colored cosmetics such as lip gloss with a light-colored wiping tool. Even when the makeup cosmetic contains a lame material or pearl agent having a relatively large particle size, by setting a threshold value for distinguishing the lame material or pearl agent, The existing area can be detected, and thereby the area where the makeup cosmetic is attached can be recognized.

  By setting an optimum threshold value according to the color tone and texture of the makeup cosmetic, the amount of wiping can be objectively evaluated without being influenced by the color tone or the like. Moreover, the amount of makeup cosmetics adhered can be evaluated without variation for the portions that have been swollen or smudged after wiping. Highly accurate image analysis is possible by finely setting a threshold value in accordance with the color tone and texture of makeup cosmetics.

  The adhesion area quantification step (f) is a step of quantifying and displaying the area where the makeup cosmetics are adhered from the binarized image (FIG. 3 (e)). This makes it possible to objectively evaluate the wiping effect. As a method for quantifying the region to which the makeup cosmetic is attached, there are a method for displaying the area of the attached region using the number of pixels and a method for displaying the actual area converted from the number of pixels.

  In the adhesion area quantification step (f), the adhesion area of the makeup cosmetic can be represented by the number of pixels of the area to which the makeup cosmetic is adhered or the numerical value of the actual area. It is possible to rank the numerical values such as the number and the actual area in stages, and display the rank, and the makeup cosmetics adhesion area may be displayed.

  Such evaluation based on the area using the number of pixels is in accordance with the sense of evaluating the makeup removal effect of the consumer. Therefore, the evaluation result obtained using the wiping effect evaluation method and the system of the present invention is not only excellent in reproducibility, simplicity and speed, but also used as an evaluation index in accordance with the consumer's evaluation feeling. High value. These image analyzes can also be performed using commercially available image analysis software.

  Quantification of the amount of makeup cosmetics attached is based on the integration processing step (g) for integrating the brightness of each pixel of the grayscale image data, and the amount of makeup cosmetics attached by quantifying the integrated brightness values. It can be performed by passing through the expressed adhesion amount quantification step (h) (FIG. 6).

  For example, when the makeup cosmetic is a dark-colored cosmetic such as mascara, the smaller the numerical value obtained by integrating the brightness of each pixel of the grayscale image data, the more makeup cosmetic is attached. Can be recognized. Conversely, if the makeup cosmetic is a light-colored cosmetic such as lip gloss, use a dark-colored wiping tool to wipe the makeup cosmetic in order to clarify the contrast. It can be recognized that the larger the value obtained by integrating the brightness, the more makeup cosmetics can be wiped off.

  The integration processing step (g) is performed by integrating the brightness of each pixel over the entire gray scale image, and the area where the makeup cosmetics are adhered by binarizing the gray scale image data in advance. Can be extracted, and brightness can be integrated for such areas. By performing such an operation, for example, it is possible to prevent shadows caused by wrinkling or twisting of the wiping tool in the region where the cosmetic material is not attached, from affecting the brightness accumulation as an error. It becomes possible to perform highly accurate evaluation.

  In the adhesion amount quantification step (h), the amount of makeup cosmetics attached can be expressed by the numerical value integrated in the integration processing step. However, not only the numerical display but also, for example, the integrated numerical value is ranked in stages. It is also possible to display the amount of makeup cosmetics adhered by displaying the rank.

  In addition, the amount of the makeup cosmetic adhering is digitized by converting the grayscale image data based on the lightness threshold set in the digitization step (d) to determine the particles contained in the makeup cosmetic. A binarization processing step (i) for binarization processing, a particle number measurement step (j) for measuring the number of particles from the image data obtained by the binarization processing step (i), and the particles It can also be carried out through the adhesion amount quantification step (k) in which the adhesion amount of the makeup cosmetic is expressed from the number of particles obtained in the number measurement step (j).

  Since makeup cosmetics are usually mixed with particles such as lame material and pearl agent in order to enhance the makeup effect, the amount of makeup cosmetics wiped off is the amount of lame material or pearl agent adhered to the wiping tool. It can also be evaluated by measuring the number of particles. In this case, the region where the particles exist is specified by binarizing the image with a threshold value that can discriminate the lame material, and the particles are overlapped by performing particle analysis on the binarized image. Existing parts can also be separated and measured for each particle, and the exact number of particles can be determined (FIG. 7). Particle analysis can be performed using commercially available particle analysis software.

  In addition, as shown in FIG. 1, the present invention comprises wiping means (A), image data acquisition means (B), image conversion means (C), and digitizing means (D). (D) consists of binarization processing means (E) and adhesion area quantification means (F), or integration processing means (G) and adhesion amount quantification means (H). The wiping effect evaluation system (10) enables a process to be performed.

  The test example by the evaluation method of the wiping effect of this invention is shown below.

  After four kinds of mascara (products A to D) were applied to the upper eyelashes 30 times and dried, cosmetic cotton impregnated with 1 ml of mascara remover (FIG. 2 (a)) was pressed for 10 seconds and slid downward. In this manner, the mascara was wiped off (FIG. 2 (a)).

  The surface of the wiped cotton for cosmetics was taken into a computer as digital image data in which the information of the shade and color of the image was digitized by scanning (FIGS. 3 (a) (b)). In this example, in order to perform comparison between samples, an image of 591 × 352 pixels was acquired with a scale (length per pixel) being constant and a scale of 7.87 pixels / mm.

  Image data is a format that includes R, G, and B information for each pixel, but these color information formats are converted into three elements of lightness, hue, and saturation color that are newly defined by computer processing. can do.

  The conversion from RGB values to lightness (V) can be performed by the equation V = 0.299 × R + 0.587 × G + 0.114 × B. The image data was converted into grayscale image data based on the brightness (V) (FIG. 3 (C)).

  When the grayscale image is binarized by setting the threshold value for discriminating between the mascara and the cotton surface to V = 175, an area of 175 or less can be identified and extracted as an area where makeup cosmetics are attached ( FIG. 3 (d)).

As shown in FIG. 4, it is difficult to objectively evaluate the wiping effect of the four types of mascara in the image before the binarization processing (grayscale image). When the area where the mark is attached is represented by the number of pixels, the amount of adhesion can be accurately evaluated for four types of mascara. In this example, as shown in the graph, it was confirmed that the product D was most likely to be dropped and the product C was most difficult to drop. Further, the area to which the mascara is attached can be displayed not only as a number of pixels but also as a real area. For example, the area to which the mascara of the product D in FIG. 4 is attached is about 36000 pixels, but this can be converted and displayed as an actual area of about 581.2 mm ² .

  Also, without performing binarization processing, the brightness of each pixel of the grayscale image data is integrated, and the amount of the makeup cosmetic adhering is expressed numerically from the integrated brightness value, thereby wiping off the makeup cosmetic. The effect may be evaluated (FIG. 6).

  This example is the result of using the same mascara remover for four types of mascara and evaluating the ease of dropping the mascara, but when the same mascara was used and several types of mascara remover were used for wiping If the surface of the cosmetic cotton is subjected to image analysis, it can be used as a method for evaluating the makeup removal effect of a mascara remover.

  FIG. 5 shows the wiping effect when the time (holding time) for pressing the cosmetic cotton impregnated with the mascara remover is changed. In the image before binarization processing (original image), it is difficult to determine the mascara wiping effect by the retention time, but after binarization processing, the area where the mascara is attached is represented by the number of pixels. A change in the wiping effect due to a change in time could be seen, and it was confirmed from the graph that a sufficient wiping effect could be obtained if the holding time was 40 seconds or longer.

10 Evaluation system for wiping effect of makeup cosmetics 11 Wiping means (A)
12 Image data acquisition means (B)
13 Image conversion means (C)
14 Digitization means (D)
15 Output means 16 Binary processing means (E)
17 Adhesion area quantification means (F)
18 Integration processing means (G)
19 Quantification means for adhesion amount (H)
20 Binarization processing means (I)
21 Particle number measuring means (J)
22 Quantification means for adhesion amount (K)

Claims (14)

  A method for evaluating the effect of wiping off makeup cosmetics by image analysis of the surface of the wiping tool after wiping off makeup cosmetics, the wiping step (a) of wiping off the makeup cosmetics with the wiping tool, and An image data acquisition step (b) for acquiring image data from the surface of the wiping tool to which makeup cosmetics are attached, and converting the acquired image data into grayscale image data based on color information obtained from the image data An image conversion step (c), and a quantification step (d) representing the area or amount to which the makeup cosmetic is adhered from the brightness of each pixel of the grayscale image data. A makeup that evaluates the wiping effect by expressing the area or amount of the makeup cosmetics numerically. -Up cosmetic wiping method of evaluating the effect.   The digitization step (d) includes a binarization processing step (e) for binarizing grayscale image data based on a lightness threshold value set for discriminating the makeup cosmetic, and the binarization 2. A makeup cosmetic according to claim 1, further comprising: an adhesion area quantification step (f) representing the area where the makeup cosmetic is adhered from the image data obtained in the processing step (e). To evaluate the wiping effect.   In the adhesion area quantification step (f), the number of pixels in the area to which the makeup cosmetic is adhered is calculated from the image data obtained in the binarization processing step (e) and digitized. The evaluation method of the wiping off effect of the makeup cosmetics of Claim 2.   4. The makeup according to claim 3, wherein, in the adhesion area quantification step (f), the actual area to which the makeup cosmetic is adhered is calculated from the number of pixels in the area to which the makeup cosmetic is adhered. A method for evaluating the effect of wiping off cosmetics.   The digitizing step (d) includes an integration processing step (g) for integrating the brightness of each pixel of the grayscale image data, and the makeup makeup from the integrated value of the brightness obtained by the integration processing step (g). The method for evaluating the wiping effect of a makeup cosmetic according to claim 1, further comprising: an adhesion amount quantification step (h) for expressing the adhesion amount of the coating material.   The digitization step (d) is a binarization processing step (i) for binarizing grayscale image data based on a lightness threshold value set for discriminating particles contained in the makeup cosmetic; The particle number measurement step (j) for measuring the number of particles from the image data obtained by the binarization processing step (i), and the particle number obtained by the particle number measurement step (j) The method for evaluating the wiping effect of a makeup cosmetic according to claim 1, comprising: an amount-of-attachment quantification step (k) for expressing the amount of makeup cosmetic applied by quantification.   The wiping step (a) evaluates the effect of wiping off the makeup cosmetic by the makeup remover by wiping the makeup cosmetic with a wiping tool coated with a makeup remover. Method of wiping off the makeup cosmetics.   A system for evaluating the effect of wiping off makeup cosmetics by image analysis of the surface of the wiping tool after wiping off makeup cosmetics, the wiping means (A) for wiping off the makeup cosmetics with the wiping tool, Image data acquisition means (B) for acquiring image data from the surface of the wiping tool to which makeup cosmetics are attached, and converting the acquired image data into grayscale image data based on color information obtained from the image data Image conversion means (C), and digitization means (D) for expressing the area or amount to which the makeup cosmetic is adhered from the brightness of each pixel of the grayscale image data. The wiping effect is evaluated by expressing the area or amount of the makeup cosmetic by a numerical value. Evaluation system of the wiping effect of the cap cosmetics.   The digitizing means (D) is a binarization processing means (E) for binarizing grayscale image data based on a lightness threshold value set for discriminating the makeup cosmetic, and the binarization. 9. A makeup cosmetic according to claim 8, comprising: an adhesion area quantification means (F) for expressing the area where the makeup cosmetic is adhered from the image data obtained by the processing step (E). Evaluation system for the effect of wiping off.   In the adhesion area digitizing means (F), the number of pixels of the area to which the makeup cosmetic is adhered is calculated from the image data obtained by the binarization processing step (E) and digitized. The evaluation system of the wiping off effect of the makeup cosmetics of Claim 9.   11. The makeup according to claim 10, wherein the adhesion area quantification means (F) calculates and quantifies the actual area to which the makeup cosmetic has adhered from the number of pixels in the area to which the makeup cosmetic has adhered. Evaluation system for the effect of wiping off cosmetics.   The digitizing means (D) integrates the brightness of each pixel of the gray scale image data, and the makeup makeup from the integrated brightness value obtained by the integration processing means (G). The system for evaluating the wiping effect of makeup cosmetics according to claim 8, characterized in that it comprises: an amount-of-attachment quantification means (H) for quantifying the amount of adhesion of the material.   The digitization means (D) is binarization processing means (I) for binarizing grayscale image data based on a lightness threshold value set for discriminating particles contained in the makeup cosmetic. The particle number measuring means (J) for measuring the number of particles from the image data obtained by the binarization processing means (I), and the particle number obtained by the particle number measuring means (J) The method for evaluating the wiping effect of a makeup cosmetic according to claim 8, comprising: an amount-of-attachment quantification means (K) for expressing the amount of makeup cosmetic applied by quantification.   14. The effect of wiping off the makeup cosmetic by the makeup remover by wiping the makeup cosmetic with a wiping tool applied with a makeup remover in the wiping means (A). The evaluation system of the wiping off effect of the makeup cosmetics in any one.