JP5907710B2 - Eyelash analysis method and analysis apparatus - Google Patents

Description

  BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an eyelash analysis method and an analysis apparatus capable of taking a photographed eye image into a personal computer and analyzing the length, thickness, darkness, eyelash growth state, and the like.

  The mascara containing the hydrolyzed eggshell membrane developed by the present applicant (Patent Document 1) and the treatment for eyelashes containing the hydrolyzed eggshell membrane and hydrolyzed keratin (Patent Document 2) are excellent in safety to the human body and are also eyelashes By applying continuously, the growth of the eyelashes itself can be promoted, and the eyelashes themselves can be made longer or thicker (thick), and in some cases, the number of eyelashes can be increased. Therefore, the demand has increased since it was commercialized.

  In confirming the effect of using the above-described mascara and eyelash treatment developed by the present applicant, a photograph of the eye taken before using the mascara or eyelash treatment, and the mascara or eyelash treatment are fixed. Compare and compare the eye photos taken after continuous use, the length of the eyelashes before using the mascara or eyelash treatment, and the mascara or eyelash treatment for a certain period of time. For example, a method of directly measuring the length of the eyelashes after using a length measuring tool and comparing the measured values has been adopted.

However, there is a need for a method and apparatus that can objectively evaluate the effect of hair growth on the eyelashes of the mascara and eyelash treatment developed by the present applicant.
In addition to the treatment for mascara and eyelashes developed by the applicant, objectively evaluates the presence and size of hair growth effect on eyelashes by other commercially available eyelash cosmetics, mascara, various supplements, food and drinks, etc. What is needed is a method and apparatus that can do this.
Furthermore, it is desired to develop a method and apparatus for objectively evaluating the effect of improving the decorativeness of eyelashes when mascara, eyelash treatment, eyelash cosmetics, etc. are applied to the eyelashes in addition to the effect of hair growth on the eyelashes. .

Japanese Patent No. 3827670 Japanese Patent No. 4456575

  The object of the present invention is to objectively evaluate the presence or absence of the hair-growth effect on the eyelashes by mascara, eyelash treatment, eyelash beauty serum, various supplements, food and drinks, the effect of improving the decorativeness of eyelashes, etc. It is to provide a method and apparatus.

In order to achieve the above object, the present inventors have made various studies and developed the following eyelash analysis method and analysis apparatus.
That is, the present invention
(1) A method for analyzing eyelashes,
(A) Converts the photographic image of the eye including the right eye and the left eye with the piglets closed, if the photographic image is a black and white image, and converts it to a black and white image if the photographic image is a color image. To the computer,
(B) From the black-and-white image, for an eye for eyelash analysis, an image including the entire eye portion, the outer corner portion, and the eyelash portion and not including the eyebrows portion is cut out;
(C) The brightness and darkness of the image cut out in (b) so that the histogram based on the light and darkness (luminance signal) based on the image cut out in (b) spreads and spreads from the darkest value to the brightest value in the horizontal axis direction. To make a corrected image;
(D) producing a binarized image based on the corrected image of (c);
(E) Based on the corrected image of (c), a histogram based on brightness (brightness signal) is created;
(F) A line scan is performed on the eyelashes in the corrected image from the eye side to the eye corner side or from the eye corner side to the eye side, and output as a time-series signal with the horizontal axis representing time and the vertical axis representing light and darkness (luminance). ;
(G) Fourier transform the time series signal output in (f);
(H) measuring the length of the longest eyelashes based on the corrected image obtained in (c);
(I) obtaining the amount of eyelashes from the binary image data of (d) and / or the histogram of (e);
(J) Obtain the thickness of the eyelashes and / or the number of eyelashes from the result of the Fourier transform calculated in (g) above;
This is a method for analyzing eyelashes.

And this invention,
(2) Based on the black and white image of the eye area of the eye where the eyelash analysis with the piglet closed is performed, the horizontal width between the eye portion and the eye corner portion is taken as the horizontal dimension. , By cutting out a rectangular image portion having a vertical dimension between the upper portion of the eye portion and the outer corner of the eye and the longest eyelash portion as an analysis image ( It is the eyelash analysis method of 1).

Furthermore, the present invention provides
(3) for the same person, on the basis of the photographic image of the eyes, including the right and left eyes of the closed state of the eyelids taken in a predetermined time T ₁ (a) ~ series of operations of eyelashes by performing the (j) Based on the photographic images of the eyes including the right eye and the left eye in a state where the piglet is photographed at a time T ₂ different from the time T ₁ and the length, amount, thickness, and number are obtained. The series of operations (j) is performed to obtain the length, amount, thickness, and number of eyelashes, and the length, amount, thickness, and number of eyelashes are compared at time T ₁ and time T _2. It is the analysis method of eyelashes of 1) or (2).

And this invention,
(4) When comparing the length, amount, thickness, and number of eyelashes obtained for time point T _{1 with} the length, amount, thickness, and number of eyelashes obtained for time point ₂ , the image was taken at time point T ₁ . The distance D ₁ between the right eye's head and the left eye's eye is measured based on the monochrome image of the eye, and the distance D ₂ between the right eye's eye and the left eye's eye is measured based on the monochrome image of the eye taken at time T _2. ,
(Α) Using the ratio (D ₁ / D ₂ ) of the distance D ₁ and the distance D ₂ , the length, amount, thickness, and number of eyelashes obtained for the time T ₂ are corrected, and the corrected time Comparing the value of length, amount, thickness, number of eyelashes at T ₂ with the value of length, amount, thickness, number of eyelashes at time T ₁ ; or
(Β)) Using the ratio of distance D ₂ to distance (D ₂ / D ₁ ), the length, amount, thickness, and number of eyelashes obtained for time T ₁ are corrected, and the corrected time T The values of length, amount, thickness and number of eyelashes in ₁ are compared with the values of length, amount, thickness and number of eyelashes at time T ₂ ;
It is the analysis method of the eyelash of said (3).

The present invention also provides:
(5) Monochrome black-and-white image obtained by taking a picture of the eye area including the right eye and left eye with the piglet closed, a right eye and / or left eye image cut out from the black and white image, a cut out right eye and / or left eye Histogram based on image, corrected image created based on cut out right eye and / or left eye image, binarized image based on corrected image, histogram based on corrected image, obtained by line scanning over eyelash in corrected image Series signal, Fourier transform graph of the time series signal, length, amount, thickness, number of eyelashes obtained for each time point, comparison result of length, amount, thickness, number of eyelashes obtained at different time points The eyelash analysis method according to any one of (1) to (4) above, wherein one or more of these are displayed on a monitor by means of numerical values and / or images;
(6) The computer is provided with a holder for each person, and the eye photographic image with the piglet closed, the monochrome image obtained by converting the photographic image into black and white, and the analysis method according to any one of claims 1 to 5 The method for analyzing eyelashes according to any one of (1) to (5) above, wherein various data and analysis results obtained in this manner are stored in the holder for each person and can be reused;
It is.

Furthermore, the present invention provides
(7) An eyelash analysis device,
(A) The photographic images of the eyes of the right eye and left eye with the piglets closed are converted as they are when the photographic image is a black and white image, and converted into a black and white image when the photographic image is a color image. Means to import into the computer;
(B) means for cutting out from the black and white image an image that includes the entire eye portion, the outer corner of the eye, and the eyelash portion, but does not include the eyebrows portion, for the eye that performs eyelash analysis;
(C) The brightness and darkness of the image cut out in (b) so that the histogram based on the light and darkness (luminance signal) based on the image cut out in (b) spreads and spreads from the darkest value to the brightest value in the horizontal axis direction. Means for correcting the image to produce a corrected image;
(D) means for producing a binarized image based on the corrected image of (c);
(E) means for creating a histogram based on brightness (brightness signal) based on the corrected image of (c);
(F) A line scan is performed on the eyelashes in the corrected image from the eye side to the eye corner side or from the eye corner side to the eye side, and is output as a time-series signal with the horizontal axis representing time and the vertical axis representing light and darkness (luminance). means;
(G) means for Fourier transforming the time-series signal output in (f);
(H) means for measuring the length of the longest eyelashes based on the corrected image obtained in (c);
(I) means for determining the amount of eyelashes from the binary image data of (d) and / or the histogram of (e);
(J) Means for obtaining the thickness and / or number of eyelashes from the result of Fourier transform calculated in (g) above;
An eyelash analysis apparatus characterized by comprising:

The present invention also provides:
(8) Based on the black-and-white image of the eye area of the eye of the eye which analyzes the eyelashes with the piglet closed, the image cutout unit of (b) determines the horizontal width between the eye head part and the eye corner part. And a means for cutting out, as an image for analysis, a rectangular image portion having a vertical dimension between the upper portion of the eye portion and the corner portion of the eye and the longest eyelash portion. (7) An apparatus for analyzing eyelashes.

(9) Monochrome black-and-white image obtained by taking a picture of the eye area including the right eye and left eye with the piglet closed, right eye and / or left eye image cut out from the black and white image, cut out right eye and / or left eye Histogram based on image, corrected image created based on cut out right eye and / or left eye image, binarized image based on corrected image, histogram based on corrected image, obtained by line scanning over eyelash in corrected image Series signal, Fourier transform graph of the time series signal, length, amount, thickness, number of eyelashes obtained for each time point, length, amount, thickness, number of eyelashes at each time point comparison result The eyelash analysis apparatus according to (7) or (8), having means for displaying one or more of them on a monitor by means of numerical values and / or images That.

And this invention,
(10) Monochrome black-and-white image obtained by taking a photograph of the eye part including the right eye and left eye with the piglet closed, right eye and / or left eye image cut out from the black and white image, cut out right eye and / or left eye Histogram based on image, corrected image created based on cut out right eye and / or left eye image, binarized image based on corrected image, histogram based on corrected image, obtained by line scanning over eyelash in corrected image Series signal, Fourier transform graph of the time series signal, length, amount, thickness, number of eyelashes obtained for each time point, length, amount, thickness, number of eyelashes at each time point comparison result The eyelash analysis apparatus according to any one of (7) to (9), further including means for organizing and storing one or more of them for each person.

By using the eyelash analysis method and analysis apparatus of the present invention, the length, thickness, darkness, and the like of the eyelashes can be objectively evaluated based on a photograph of the eye.
In particular, using the eyelash analysis method and analysis apparatus of the present invention, the same person's eyelashes are analyzed for each of a plurality of different time points before and after use, such as mascara, treatment for eyelashes, and supplements. By comparing the above, it is possible to objectively analyze, evaluate, and compare the eyelash growth state, the declined state, the health state, the effect of decorating the eyelashes by mascara, and the like over time.
Further, by using the eyelash analysis method and analysis apparatus of the present invention, the eyelashes of a plurality of persons are analyzed, and the analysis results are classified by age and sex, for example, to determine the length and state of the eyelashes by age. It is possible to objectively analyze the difference in length and state of eyelashes according to differences and gender.
Furthermore, by using the method and apparatus for analyzing eyelashes of the present invention, the presence or absence of strength of hair growth promotion by the hair growth agent for eyelashes, mascara, eyelash treatment, eyelash beauty serum, food and drink, supplement, etc. Can be objectively and easily evaluated.

FIG. 1 is a diagram showing a procedure for performing eyelash analysis using the eyelash analysis method and analysis apparatus of the present invention. FIG. 2 shows an eyelash analysis of the eyelashes of the same person in Example 1 using the eyelash analysis method and analysis device of the present invention at the time before and after applying mascara. It is a figure which shows the state at the time.

Hereinafter, the present invention will be described in detail with reference to the drawings.
In the operation (a), the photographic images of the right eye and the left eye in the state where the pigeons are closed are left as they are when the photographic image is a black and white image, and the black and white image when the photographic image is a color image. (1) in FIG. 1).
The photographic images of the eyes of the right eye and the left eye with the mabuta closed may be photographic images burned on photographic paper, or digital images taken with a digital camera, mobile phone, smartphone, etc. Either is acceptable.
When taking a photographic image of the eye as a black and white image and importing it into a computer, it is preferable to standardize the number of pixels of the black and white image to be taken in from the viewpoint of standardization of analysis and operability.
For example, when the number of pixels of the original black and white image is larger than 640 × 480 pixels, the black and white image is reduced to 640 × 480 pixels and the size is reduced and loaded into the computer. Is smaller than 640 × 480 pixels, the black-and-white image is enlarged to 640 × 480 pixels to reduce the size, and is taken into the computer.
Reduction or increase in the number of pixels when capturing a monochrome image into a computer (reduction or enlargement of the captured image) can be performed using known image reduction software, a scanner having an image reduction function, or the like.
The black-and-white image of the eye taken into the computer should be stored in the holder by providing a holder for each person in the computer together with various images, data, analysis results, etc. obtained by the following operations (b) to (j). Is preferred.

Next, in the operation (b), from the black-and-white image of the eye with the eyelids closed as shown in << i >> in FIG. An image including the entire eyelash part and not including the eyebrow part is cut out (<< ii >> in FIG. 1).
The image may be cut out only for one eye of the right eye and the left eye (when only one of the eyelashes of the right eye and the eyelash of the left eye is analyzed), or the eyes of the right eye and the left eye It may be performed for both (when analysis is performed for both the eyelashes of the right eye and the eyelashes of the left eye). When cutting out the analysis image for both the right eye and the left eye, the right eye and the left eye are cut out separately, and the right eye and left eye are cut out separately. Make a distinction.

The clipped image may be any image as long as it contains the eye head part, the eye corner part, and the entire eyelash part of the eye of the eyelash analysis, and does not contain the eyebrow part, but can accurately analyze the eyelashes, Since it is easy to standardize the analysis result and the mathematical method is effective, the image is cut out based on the black and white image of the eye of the eye that performs eyelash analysis with the piglet closed. As shown in ii >>, the lateral width (horizontal distance) between the eye portion and the outer corner of the eye is taken as the horizontal dimension, and the upper portion of the upper portion of the eye and the outer portion of the eye [the butt portion in << ii >> of FIG. 1] A rectangular image part whose vertical dimension is the vertical width (vertical distance) between the longest eyelashes (and the eye part may be located at the top of the drooping eye) is cut out as an analysis image. It is preferable.
Cutting out an image for analysis from a black and white image can be performed using various conventionally known software that can cut out an image from a photographic image captured in a computer.

In the image “ii” cut out above, the difference (brightness / darkness) between the eyelashes and the parts other than the eyelashes (such as the area behind the skin or the eyes) is often not clearly reflected. When a binarized image and a histogram are created by using the cut image << ii >> as it is, a clear image based on eyelashes is obtained, as in the binarized image of <iii> in FIG. 1 and the histogram of <iv> in FIG. A binarized image and a histogram may not be created.
Therefore, in operation (c), a histogram based on light and darkness (luminance signal) based on the image << ii >> cut out in operation (b) is distributed and spread from the darkest value to the brightest value in the horizontal axis direction. As described above, the brightness and darkness of the image << ii >> cut out in the operation (b) is corrected to obtain a corrected image as shown in << v >> in FIG.

In operation (d), a binarized image as shown in << vi >> of FIG. 1 is created based on the corrected image << v >> obtained in the above operation (c).
In producing the binarized image, binarization is performed by setting an appropriate threshold value (threshold value) so that the eyelash portion is displayed in black and the portion other than the eyelash is displayed in white.
The threshold value for creating a binarized image is that the portion based on the eyelash portion is represented in black while reproducing the eyelash portion and the other portion in the image for analysis as faithfully as possible, and the portion other than the eyelash is white Therefore, it is necessary to set according to the definition, brightness, etc. of the image for analysis.
The production of the binarized image can be performed by adopting a variable threshold method or the like. In this case, the threshold value can be set by a 3 × 3 partial average method or the like.

Further, in the operation (e), based on the corrected image << v >> obtained in the operation (c), the entire value from the darkest value to the brightest value in the horizontal axis direction as shown in << vii >> in FIG. A histogram that is distributed and spreads out is created.
The histogram based on light and darkness (luminance signal) based on the corrected image depends on the resolution, brightness, and make-up method of the black and white image, but it is an analysis algorithm that extends the histogram based on light and darkness (luminance signal) over the entire horizontal axis of the graph. A histogram is created by adjusting the brightness and contrast of the image. As a result, the influence of the resolution, brightness, make-up method, etc. of the image cut out from the monochrome image can be reduced, and the eyelashes can be analyzed more accurately.
In the histogram illustrated in <vii> of FIG. 1, the flat portion on the left side along the horizontal axis is derived from the eyelashes, and the portion on the right side toward the right side is a portion other than the eyelashes (lighter than the eyelashes). Derived from the skin). In the histogram shown in <vii> of FIG. 1 based on the corrected image, as the area of the flat portion on the left side increases and the area of the ridge on the right side decreases, the length of the eyelashes, This indicates that the amount of the entire eyelash is large based on the thickness.
The histogram can be created using conventionally known histogram creation software or the like.

In operation (f), when a line scan is performed on the eyelashes in the corrected image from the eye side to the eye corner side or from the eye corner side to the eye side, and the horizontal axis is time and the vertical axis is light and dark (brightness) It is output as a series signal (<< viii >> in FIG. 1).
As the position for line scanning, there is no or little adhesion between the eyelashes or overlapping of the eyelashes, each eyelash is separated from each other, and a position where all eyelashes or a number of eyelashes close to it can be scanned. select. The scanning position may vary depending on how the eyelashes grow, but generally, the position of the longest eyelashes from the root of the longest eyelashes or a position in the vicinity thereof [see << in FIG. It is preferable to scan at the position of the straight line s-s in v >>.
In this line scan operation, the line scan sensor does not output a signal when driving while crossing the eyelashes, or outputs a signal with a small amplitude when traveling in a place without eyelashes, and moves over the eyelashes. When traveling, a signal having a predetermined amplitude is output according to the thickness of the eyelashes, and the amplitude increases as the eyelashes become thicker. From this point, in the time series signal shown in FIG. 1 << viii >> of the eyelashes, the amplitude in the vertical axis direction corresponds to the thickness of the eyelashes, and the larger the amplitude, the larger the thickness of the eyelashes at the travel position. Indicates.
This operation can be performed by installing a conventionally known line sensor in a computer.

The time series signal output by the operation (f) is Fourier transformed in the operation (g) to obtain a graph of << ix >> in FIG.
In the graph of << ix >> in FIG. 1 obtained by Fourier transform, the horizontal axis represents the frequency (related to the thickness of the eyelashes, the interval between the parts without the eyelashes) in the time series signal output by the above operation (f). Thus, the value becomes larger as it goes to the right with zero at the beginning, and the vertical axis indicates the frequency (number) for each frequency.
The Fourier transform of the time series signal output by the operation (f) can be performed using conventionally known Fourier transform software.

As a result of verification based on a plurality of samples, in the graph shown in << ix >> of FIG. 1 obtained by Fourier transform, the highest peak indicated by arrow 1 correlates with the number of eyelashes, and the highest peak indicated by arrow 1 is obtained. The second highest peak indicated by the arrow 2 located on the right side of the highest peak indicated by the arrow 1 belonging to a different peak group from the included peak group is related to the average thickness of the eyelashes, the arrow 1 It was found that the peak group located on the left side of the highest peak indicated by (1) is a peak derived from a portion having no eyelashes (a space portion between eyelashes and eyelashes).
The larger the numerical value of the highest peak indicated by the arrow 1, the larger the number of eyelashes, and the larger the reciprocal of the numerical value (frequency) of the horizontal axis of the second highest peak indicated by the arrow 2, the thicker the average thickness of the eyelashes. It shows that.

In operation (h), the length of the longest eyelash is measured based on the corrected image obtained in operation (c).
Here, the order of the operations (d), (e), (f), and (h) is not particularly limited, and can be performed in any order.

In operation (i), the amount of eyelashes is determined.
The amount of eyelashes is the binarized image shown in << vi >> of FIG. 1 obtained by the above operation (d) (the horizontal length between the eye and the corner of the eye is the width, and the eyelash and the longest eyelash are In the binarized image in the rectangular part having the length in the vertical direction between the tip and the tip, a 0 point (white dot derived from the skin) and a 1 point (black dot derived from the eyelashes) ) (The total number of dots in the entire binarized image) as a ratio of the sum of one point (the total number of black dots derived from eyelashes).
In addition, the amount of eyelashes in the histogram shown in <vii> of FIG. 1 obtained by the above operation (f) is determined on the left side with respect to the entire area of the flat portion on the left side and the right mountain portion on the left side. It can be obtained as a ratio of the area of the flat portion.

In operation (j), the thickness of the eyelashes is obtained from the result (graph) of the Fourier transform calculated by the operation (g).
In the graph shown in << ix >> of FIG. 1 obtained by Fourier transform, it is located on the right side of the highest peak indicated by arrow 1 belonging to a peak group different from the peak group including the highest peak indicated by arrow 1. The second highest peak indicated by arrow 2 relates to the average thickness of the eyelashes.
If the numerical value (frequency) on the horizontal axis of the second highest peak indicated by the arrow 2 is Fr, the average value of the thickness of the eyelashes can be obtained as “1 / Fr” that is the reciprocal of the frequency Fr.

In the present invention, the eyelash analysis comprising the series of operations (a) to (j) described above may be performed only once for each person, or at two or more different times for each person. You may carry out 2 times or 3 times or more.
When the eyelash analysis method of the present invention is performed only once for each person, the eyelashes of a specific person are compared to the eyelashes of another specific person from the above analysis results obtained for each person. It can be judged whether it is long, the number is large, it is thick, the amount of the whole eyelash is large, etc. Also, the eyelash is long or the amount of eyelash is compared with the average value of multiple people who analyzed It can be determined whether the eyelashes are thick, the eyelashes are thick, or the entire eyelashes are large.

In addition, when the eyelash analysis method of the present invention is performed twice or three or more times at two or more different times for each person, for example, mascara, Investigate how the length, amount, thickness, number, etc. of eyelashes changed before and after using or eating and drinking eyelash treatments, eyelash serums, supplements, specific foods and drinks And whether a specific mascara, eyelash treatment, eyelash beauty serum, supplement, food and drink, etc. have an eyelash growth effect, an eyelash growth effect is large or small, an eyelash decoration effect It is possible to investigate whether the value is large or small.
In analyzing the eyelashes using the eyelash analysis method and analysis apparatus of the present invention, it is not limited to analyzing all of the length, amount, thickness and number of eyelashes, for example, the length of the eyelashes, Only one of quantity, thickness and number may be analyzed, only two may be analyzed, or only three may be analyzed.

Specifically, for example, for the same person, the eye part including the right eye and the left eye with the piglet closed is placed at a predetermined time T ₁ (for example, before using mascara, eyelash treatment, eyelash cosmetic, supplement, etc.). The length of eyelashes at the time point T ₁ by performing the series of operations (a) to (j) for the same eye of the right eye and the left eye based on the monochrome photographic image obtained by taking a photograph , Black and white obtained by taking a picture at a time T ₂ (for example, after using mascara, eyelash treatment, eyelash serum, supplement, etc.) that is different from the time T ₁ Based on the photographed image, the length, amount, thickness, and number of eyelashes at time T ₂ are determined by performing the series of operations (a) to (j) for the same eye of the right eye and the left eye. required, the time T ₁ Nitsu The length of eyelashes obtained Te, the amount, thickness, and the number, the length of the eyelashes obtained for the time T _2, the amount, thickness, contrasting and number.
At that time, in the eyes of photography at time T _1, the eyes of photography at time T _2, to exactly the same distance between the object and the camera is usually difficult and time T ₁ and time T ₂ is not always photographed at the same magnification, the distance between the eyes and the corners of the eye at the time T _{1 and} the eye at the time T ₂ are different. Many.
Therefore, the length of the lashes at time T _1, the amount, thickness, and the number, length of lashes at time T _2, the amount, thickness, when comparing the number is, any time T ₁ and time T ₂ It is necessary to compare the two after correcting one of them as a reference and correcting the other according to the reference.

As a correction method, the distance (length) between the right eye and left eye is not changed over time, or the change is small, so that the black-and-white image of the eye photographed at time T ₁ is used. The distance D ₁ between the right eye and the left eye is measured, and the distance D ₂ between the right eye and the left eye is measured based on the black and white image of the eye taken at time T ₂ .
(Α) Using the ratio (D ₁ / D ₂ ) of the distance D ₁ and the distance D ₂ , the length, amount, thickness, and number of eyelashes obtained for the time T ₂ are corrected, and the corrected time Comparing the value of length, amount, thickness, number of eyelashes at T ₂ with the value of length, amount, thickness, number of eyelashes at time T ₁ ; or
(Β) Using the ratio of distance D ₂ to distance D ₁ (D ₂ / D ₁ ), the length, amount, thickness, and number of eyelashes obtained for time T ₁ are corrected, and the corrected time The values of length, amount, thickness and number of eyelashes at T ₁ are compared with the values of length, amount, thickness and number of eyelashes at time T ₂ ;
Thus, the length, amount, thickness, and number of eyelashes at time T ₁ can be properly compared with the length, amount, thickness, and number of eyelashes at time T ₂ .
As another method, from the photographic image (black and white image) converted into black and white of the eye including the right eye and the left eye, in the above operation (b), the eye portion for analyzing eyelashes, the eye corner portion When the image including the entire eyelash portion and not including the eyebrows portion is cut out, the length of the eye head and the corner of the eye corner is the same between the image cut out at the time point T ₁ and the image cut out at the time point T _2. correction was carried out (corrects so that the number of pixels in the horizontal direction are the same), based on the image after the correction, by performing the operation (c) ~ (j), the eyelashes at time T ₁ length is the amount, thickness, and the number, length of lashes at time T _2, the amount, thickness, may be comparing the number.

In the above description, the case where the analysis is performed at two time points T ₁ and T ₂ has been described. However, the analysis is not limited to the two time points, and the analysis is performed in the same manner as described above at three or more time points. In that case, not only the analysis result at the first time point and the analysis result at the second time point, but also the analysis result at the first time point, the third time point, the fourth time point The analysis results at the time point and the subsequent time points can be compared, and various comparisons such as the analysis result at the second time point and the analysis result at the third time point can be performed. it can.

Based on a black and white image obtained by taking a photograph of the eye part including the right eye and the left eye with the piglet closed, a right eye and / or left eye image cut out from the black and white image, and a cut out right eye and / or left eye image A histogram, a corrected image created based on the cut out right eye and / or left eye images, a binarized image based on the corrected image, a histogram based on the corrected image, a time-series signal obtained by line scanning over the eyelashes in the corrected image, Fourier transform graph of the time series signal, length, amount, thickness, number of eyelashes obtained for each time point, length, amount, thickness, number of eyelashes obtained at different time points, Preferably, one or more of these are displayed on the monitor by means of numerical values and / or images.
In particular, when the above-mentioned various images, graphs, numerical values, and the like at a predetermined time point and a different time point are displayed side by side on the same screen, the predetermined time point (for example, mascara, eyelash treatment, eyelash cosmetic liquid) , Supplements, before or after use of specific foods and beverages) and at a different time (eg, after using mascara, eyelash treatment, eyelash serum, supplements, specific foods or foods) It is possible to easily confirm visually how the length, thickness, number, and overall amount of the eyelashes have changed.
The same applies to the analysis of eyelashes at three or more points in time for the same person.
At that time, the name, date of birth, analysis date, etc. of the person who performed the analysis may be displayed on the monitor at the same time.

  When performing analysis of eyelashes using the eyelash analysis method and analysis apparatus of the present invention, a computer is provided with a holder for each person, and a photographic image of the eye in a state where the piglet is closed, and black and white obtained from the photographic image An image, an image cut out from the black-and-white image, a corrected image based on the image, and various data obtained by performing the operations (d) to (j) described above are organized and stored for each person in the holder. It is desirable to make it reusable.

The method for analyzing eyelashes of the present invention described above,
(A) The photographic images of the eyes of the right eye and left eye with the piglets closed are converted as they are when the photographic image is a black and white image, and converted into a black and white image when the photographic image is a color image. Means to import into the computer;
(B) means for cutting out from the black and white image an image that includes the entire eye portion, the outer corner of the eye, and the eyelash portion, but does not include the eyebrows portion, for the eye that performs eyelash analysis;
(C) The brightness and darkness of the image cut out in (b) so that the histogram based on the light and darkness (luminance signal) based on the image cut out in (b) spreads and spreads from the darkest value to the brightest value in the horizontal axis direction. Means for correcting the image to produce a corrected image;
(D) means for producing a binarized image based on the corrected image of (c);
(E) means for creating a histogram based on brightness (brightness signal) based on the corrected image of (c);
(F) A line scan is performed on the eyelashes in the corrected image from the eye side to the eye corner side or from the eye corner side to the eye side, and is output as a time-series signal with the horizontal axis representing time and the vertical axis representing light and darkness (luminance). means;
(G) means for Fourier transforming the time-series signal output in (f);
(H) means for measuring the length of the longest eyelashes based on the corrected image obtained in (c);
(I) means for determining the amount of eyelashes from the binary image data of (d) and / or the histogram of (e);
(J) Means for obtaining the thickness of the eyelashes from the result of Fourier transform calculated in (g) above;
It can implement by the analysis apparatus of the eyelash of this invention which has this.

  The eyelash analysis apparatus according to the present invention uses the above-described image cutout means (b) as “the eye-eye portion and the eye-ear portion based on the black-and-white image of the eye eye of the eye performing the eyelash analysis with the piglet closed. An image for analysis of a rectangular image part with a horizontal dimension between the upper part of the eyes and the corners of the eye and the leading part of the longest eyelash. It is desirable to have "means for cutting out as".

  In addition, the eyelash analysis apparatus of the present invention is converted into black and white obtained by taking a picture of the eye area including the right eye and the left eye with the piglets closed, obtained using the means (a) to (j). Based on black and white image, right eye and / or left eye image cut out from black and white image, histogram based on cut out right eye and / or left eye image, correction image created based on cut out right eye and / or left eye image, and correction image Binarized image, histogram based on corrected image, time series signal obtained by line scanning over eyelashes in corrected image, Fourier transform graph of the time series signal, length, amount and thickness of eyelashes obtained at each time point One or more of the results of the comparison of the value of the number, the length, amount and thickness of the eyelashes at each time point are displayed on the monitor by means of numerical values and / or images. It is desirable to have a Shimesuru means.

  The eyelash analysis apparatus of the present invention cuts a black and white image obtained by taking a photograph of the eye part including the right eye and the left eye with the piglet closed, a right eye and / or left eye image cut out from the black and white image, and cut out Histogram based on right eye and / or left eye image, correction image created based on cut out right eye and / or left eye image, binarized image based on correction image, histogram based on correction image, line on eyelash in correction image Time series signal obtained by scanning, Fourier transform graph of the time series signal, length, amount, thickness, number of eyelashes obtained for each time point, length, amount, thickness of eyelashes at each time point It is desirable to have means for organizing and storing one or more of the comparison results for each person.

  EXAMPLES Hereinafter, the present invention will be specifically described with reference to examples, but the present invention is not limited to the examples.

Example 1
(1) (i) Photographic images of the eyes of the right eye and left eye with the mabuta before applying the mascara of female A were converted into a black and white image (640 × 480 pixels) and captured in a computer (FIG. 2). << 1-i >>) [Operation (a)].
(Ii) The distance (D ₁ ) between the eyes of the left eye and the eyes of the right eye was measured based on the black and white image of the eye shown in << 1-i >> of FIG.
(Iii) From the black-and-white image of the eye shown in << 1-i >> in FIG. A rectangular image part with the vertical dimension (vertical distance) between the image and the vertical dimension is cut out, and the histogram based on the extracted image (brightness signal) is distributed from the darkest value to the brightest value in the horizontal axis direction. Then, the corrected image shown in << 1-ii >> of FIG. 2 was produced by correcting the brightness and darkness of the image cut out so as to spread [operations (b) and (c)].
(Iv) Based on the corrected image of <1-ii> in FIG. 2, a threshold value is determined so that the black portion based on the eyelash portion and the white portion based on the portion other than the eyelash portion are faithfully reproduced, as shown in FIG. A binarized image shown in << 1-iii >> was produced [operation (d)].
(V) Based on the corrected image shown in << 1-ii >> of FIG. 2, a histogram shown in << 1-iv >> of FIG. 2 was created [operation (e)].
(Vi) In the corrected image shown in << 1-ii >> of FIG. 2, on the position of one third of the length of the eyelash from the root of the longest eyelash [the straight line ss in << 1-ii >> of FIG. 2] was scanned from the top of the eye to the outer corner of the eye, and a time-series signal shown in << 1-v >> in FIG. 2 with the horizontal axis representing time and the vertical axis representing light and darkness (luminance) was output. (F)].
(Vii) The time series signal output in (vi) was Fourier transformed to obtain a graph shown in << 1-vi >> of FIG. 2 [operation (g)].
(Viii) The length (L ₁ ) of the longest eyelashes was measured based on the corrected image shown in << 1-ii >> of FIG.

(2) (i) Photo images of the eyes of the right eye and left eye with the mabuta closed after applying the same mascara of female A as above were converted into a black and white image (640 × 480 pixels) and captured in a computer (<< 2-i >> in FIG. 2) [Operation (a)].
(Ii) The distance (D ₂ ) between the left eye and right eye was measured based on the black and white image of the eye shown in << 2-i >> of FIG.
(Iii) From the black-and-white image of the eye shown in << 2-i >> of FIG. 2, for the left eye, the horizontal width (horizontal distance) between the eye and the corner of the eye is the horizontal dimension, and the tip of the eye corner and the longest eyelash A rectangular image part with the vertical dimension (vertical distance) between the image and the vertical dimension is cut out, and the histogram based on the extracted image (brightness signal) is distributed from the darkest value to the brightest value in the horizontal axis direction. Then, the corrected image shown in << 2-ii >> of FIG. 2 was prepared by correcting the brightness and darkness of the image cut out so as to spread [operations (b) and (c)].
(Iv) Based on the corrected image of <2-ii> in FIG. 2, a threshold value is set so that the black portion based on the eyelash portion and the white portion based on the portion other than the eyelash portion are faithfully reproduced. A binarized image shown in << 2-iii >> was produced [operation (d)].
(V) Based on the corrected image shown in << 2-ii >> of FIG. 2, a histogram shown in << 2-iv >> of FIG. 2 was created [operation (e)].
(Vi) In the corrected image shown in << 2-ii >> in FIG. 2, on the position of one third of the length of the eyelash from the root of the longest eyelash [the straight line ss in << 2-ii >> in FIG. Is scanned from the top of the eye to the outer corner of the eye, and the time-series signal shown in << 2-v >> in FIG. 2 is output with the horizontal axis representing time and the vertical axis representing light and dark (brightness). (F)].
(Vii) The time-series signal output in (vi) was Fourier transformed to obtain a graph shown in << 2-vi >> of FIG. 2 [operation (g)].
(Viii) The longest eyelash length (L ₂ ) was measured based on the corrected image shown in << 2-ii >> of FIG.

(3) Comparison of the length of the longest eyelashes before and after applying mascara:
(I) The photograph (black and white image) of the eye before applying the “1-i” mascara in FIG. 2 is the same as the photograph (black and white image) of the eye after applying the “2-i” mascara in FIG. Since the images are not always photographed at the same magnification from the distance, it is necessary to perform standardization so that photographs before and after painting are photographed at the same magnification from the same distance.
If the image before the mascara is used as the image reference of the eye, the length L ₁ of the longest eyelash before the application is the same, and the length after the standardization of the length of the longest eyelash after applying the mascara (L _2c) Is obtained from the following mathematical formula (1-1).

L _2c = L ₂ × (D ₁ / D ₂ ) (1-1)
[In the formula, L _2c is the length (mm) after performing the length correction of the longest eyelash after applying mascara, and L ₂ is the length correction based on the correction image indicated by << v >> in FIG. D ₁ is the distance (mm) between the left eye and right eye based on the monochrome image of the eye of << 1-i >> in FIG. 2, and D ₂ is The distance (mm) between the eyes of the left eye and the eyes of the right eye based on the monochrome image of << 2-i >>. ]
(Ii) The longest eyelash length (L _2c) after performing the length correction after applying the mascara obtained from the mathematical formula (1-1), and the longest eyelash length before applying the mascara From the length (L ₁ ), the relative ratio (L _re ) between the lengths of the longest eyelashes before and after applying mascara can be obtained by the following equation (1-2).

L _re (%) = (L _2c / L ₁ ) × 100 (1-2)

For the female A shown in FIG. 2, the relative ratio (L _re ) of the length of the longest eyelashes before and after applying mascara is obtained by the above formulas (1-1) and (1-2). As a result, it was 123%.

(4) Comparison of the amount of longest eyelashes before and after applying mascara:
(I) before painting the mascara Figure 2 in the correction image "1-ii", the distance between the horizontal line and H ₁ through the longest lashes of the tip and the horizontal line passing through the root of the eyelashes of the central part of the eyelids When the distance between the vertical line passing through the top of the eye and the vertical line passing through the corner of the eye is W ₁ , the area S _{1 of the} rectangular portion surrounded by a, b, c, and d is calculated from the following equation (2-1). In the corrected image of <2-ii> in FIG. 2 after being obtained and applied with mascara, the distance between the horizontal line passing through the root of the eyelashes at the center of the piglet and the horizontal line passing through the tip of the longest eyelashes is expressed as H ₂ and the distance between the vertical line passing through the top of the eye and the vertical line passing through the corner of the eye is W ₂ , the area S _{1 of the} rectangular portion surrounded by a, b, c, and d is expressed by the following equation (2-1) ) area S ₂ of the sought from is calculated by the following equation (2-2).
S ₁ = H ₁ × W ₁ (2-1)
S ₂ = H ₂ × W ₂ (2-2)

(Ii) The photograph of the eye before applying the “1-i” mascara in FIG. 2 (black and white image) is the same as the photograph of the eye after applying the “2-i” mascara in FIG. 2 (black and white image). Since the images are not always photographed at the same magnification from the distance, it is necessary to perform standardization so that photographs before and after painting are photographed at the same magnification from the same distance.
If the image before the mascara is used as the image reference for the eye, the area S ₁ of the rectangular portion surrounded by a, b, c, and d in the corrected image of “1-ii” in FIG. The square enclosed by a, b, c, and d after normalization of the area S ₂ of the square part surrounded by a, b, c, and d in the corrected image of “2-ii” in FIG. The area S _2c of the portion is obtained from the following mathematical formula (2-3).

S _2c = S ₂ × (D ₁ / D ₂ ) ² (2-3)
[Where D ₁ is the distance (mm) between the eyes of the left eye and the right eye based on the black and white image of the eye of << 1-i >> in FIG. 2, and D ₂ is that of << 2-i >> in FIG. A distance (mm) between the left eye and the right eye based on the black and white image of the eye. ]

(Iii) Therefore, the After applying the mascara, of FIG. 2 "2-ii" of the area S ₂ of the rectangular portion surrounded by a, b, c, d in the corrected image for calculating the amount of eyelashes without adoption as an area of the basis of the area value S _2c obtained by the above formula (2-3), in accordance with the following equation (2-4), the area value S _2c of Figure 2 "2- The height dimension (H _2c ) obtained by dividing by the distance (W ₂ ) between the top of the eye and the corner of the eye in the corrected image of ii >> is obtained, and the height dimension (H _2c ) and the product area of W ₂ (the area of the rectangular portion surrounded by a, e, f, and d in the corrected image of <2-ii> in FIG. 2) and the area for calculating the amount of eyelashes To do.

H _2c = S _2c ÷ W ₂ (2-4)
S _2c = H _2c × W ₂ (2-5)

(Iv) The amount of eyelashes before applying mascara is a, b, and c in the binarized image of <1-iii> in FIG. 2 prepared based on the corrected image of <1-ii> in FIG. For the area S ₁ of the square part surrounded by d, the sum of the 0 points (white dots derived from the skin) and 1 points (black dots derived from the eyelashes) (total number of dots in the entire binarized image) ) (R ₁ ) of the sum of one point (the total number of black dots derived from eyelashes).
The amount of eyelashes after applying mascara is represented by a, e, f, and d in the binarized image of << 2-iii >> of FIG. 2 prepared based on the corrected image of << 2-ii >> of FIG. For the part of the area S _2c of the enclosed square part, the sum of the zero point (white dot derived from the skin) and the one point (black dot derived from the eyelashes) (the total number of dots in the entire binarized image) The ratio (R ₂ ) of the total of 1 points (total number of black dots derived from eyelashes) is obtained.
From the amount of eyelashes after applying mascara (R ₂ ) and the amount of eyelashes before applying mascara (R ₁ ), the relative ratio of the amount of eyelashes before and after applying mascara ( R _re ) can be obtained from the following mathematical formula (2-6).

R _re (%) = (R ₂ / R ₁ ) × 100 (2-6)

(5) Contrast of average thickness of eyelashes before and after applying mascara:
(I) In the graph indicated by << 1-vi >> in FIG. 2 obtained by Fourier transformation, the direction of the highest peak indicated by arrow 1 belonging to a peak group different from the peak group including the highest peak indicated by arrow 1 is shown. From the numerical value (frequency) Fr _{1 on} the horizontal axis of the second highest peak indicated by the arrow 2 located on the right side to “1 / Fr ₁ ” that is the reciprocal of the frequency Fr ₁ , the average thickness of the eyelashes before applying mascara This is obtained as (Th ₁ ).
Further, in the graph indicated by << 2-vi >> in FIG. 2 obtained by Fourier transform, toward the highest peak indicated by arrow 1 belonging to a peak group different from the peak group including the highest peak indicated by arrow 1. The average thickness of the eyelashes after applying mascara from the numerical value (frequency) Fr ₂ of the horizontal axis of the second highest peak indicated by the arrow 2 located on the right side to the reciprocal of the frequency F ₁₂ , “1 / Fr ₂ ” It is obtained as (Th ₂ ).
(Ii) From the average thickness of the eyelashes after applying mascara (Th ₂ ) and the average thickness of the eyelashes before applying mascara (Th ₁ ), before and after applying mascara The relative ratio (Th _re ) of the average thickness of the eyelashes can be obtained from the following mathematical formula (3-1).

Th _re (%) = (Th ₂ / Th ₁ ) × 100 (3-1)

(6) In the first embodiment, for both before and after the mascara is applied, an image cut out from the monochrome image of the eye, a corrected image, a binarized image, a histogram, a time series signal, and a time series signal are Fourier transformed. As shown in FIG. 2, the graph was displayed in parallel on one monitor so that the difference between before and after applying mascara could be easily compared visually.
At that time, on the same screen of the monitor, both the black-and-white image of the eye before applying mascara and the black-and-white image of the eye after applying mascara may be displayed, or one of the two black-and-white images may be displayed. May be displayed in a replaceable manner, and one or more of the relative ratio of the length of the eyelashes before and after the application of the mascara, the relative ratio of the amount of eyelashes, and the relative ratio of the thickness of the eyelashes It can also be displayed on a monitor by numerical values and / or graphs.
(7) Moreover, in Example 1, although it demonstrated concretely before and after applying mascara so that contrast might become clear, it is not limited to it, For example, it is supposed that there is a hair growth effect of eyelashes. About the treatment for eyelashes, eyelash cosmetic liquid, supplement, food and drink, etc., the time before using or eating them and the time after using or eating them continuously for a predetermined period of time Analyzing the eyelashes using an analysis method and an analysis device objectively evaluates the presence or absence of the hair growth effect of the eyelash treatment, eyelash cosmetics, supplements, food and drinks, the magnitude of the hair growth effect, etc. be able to.

  The eyelash analysis method and analysis apparatus of the present invention objectively evaluates the presence or absence of the hair growth effect on the eyelashes by mascara, eyelash treatment, eyelash beauty serum, various supplements, food and drinks, and the effect of improving the eyelash decoration. In addition, it can be evaluated over time and is useful.

Claims (10)

A method for analyzing eyelashes,
(A) Converts the photographic image of the eye including the right eye and the left eye with the piglets closed, if the photographic image is a black and white image, and converts it to a black and white image if the photographic image is a color image. To the computer,
(B) From the black-and-white image, for an eye for eyelash analysis, an image including the entire eye portion, the outer corner portion, and the eyelash portion and not including the eyebrows portion is cut out;
(C) The brightness and darkness of the image cut out in (b) so that the histogram based on the light and darkness (luminance signal) based on the image cut out in (b) spreads and spreads from the darkest value to the brightest value in the horizontal axis direction. To make a corrected image;
(D) producing a binarized image based on the corrected image of (c);
(E) Based on the corrected image of (c), a histogram based on brightness (brightness signal) is created;
(F) A line scan is performed on the eyelashes in the corrected image from the eye side to the eye corner side or from the eye corner side to the eye side, and output as a time-series signal with the horizontal axis representing time and the vertical axis representing light and darkness (luminance). ;
(G) Fourier transform the time series signal output in (f);
(H) measuring the length of the longest eyelashes based on the corrected image obtained in (c);
(I) obtaining the amount of eyelashes from the binary image data of (d) and / or the histogram of (e);
(J) Obtain the thickness of the eyelashes and / or the number of eyelashes from the result of the Fourier transform calculated in (g) above;
A method for analyzing eyelashes.   Based on the black-and-white image of the eye area of the eye that performs eyelash analysis with the piglet closed, the image of (b) is cut out with the horizontal width between the eye-eye part and the eye-ear part, And a rectangular image part having a vertical dimension between the upper part of the corner of the eye and the tip part of the longest eyelash is cut out as an image for analysis. Method of analyzing eyelashes. For the same person, on the basis of the photographic image of the eyes, including the right and left eyes of the closed state of the eyelids taken in a predetermined time T ₁ (a) ~ a series of steps by eyelashes length of (j), an amount, The series of (a) to (j) is obtained based on the photographic image of the eye including the right eye and the left eye in a state where the thickness and number are obtained and the piglet is photographed at a time T ₂ different from the time T _1. The length, amount, thickness, and number of eyelashes are obtained by the process of step _1, and the length, amount, thickness, and number of eyelashes are compared at time T ₁ and time T _2. Analysis method. In comparing the length, amount, thickness and number of eyelashes obtained for time T _{1 with} the length, amount, thickness and number of eyelashes obtained for time T ₂ , the eye taken at time T ₁ A distance D ₁ between the right and left eyes is measured based on the monochrome image of the right eye, and a distance D ₂ between the right and left eyes is measured based on the monochrome image of the eye taken at time T ₂ .
(Α) Using the ratio (D ₁ / D ₂ ) of the distance D ₁ and the distance D ₂ , the length, amount, thickness, and number of eyelashes obtained for the time T ₂ are corrected, and the corrected time Comparing the value of length, amount, thickness, number of eyelashes at T ₂ with the value of length, amount, thickness, number of eyelashes at time T ₁ ; or
(Β) Using the ratio of distance D ₂ to distance (D ₂ / D ₁ ), the length, amount, thickness, and number of eyelashes obtained for time T ₁ are corrected, and the corrected time T ₁ The values of the length, amount, thickness and number of eyelashes at the time point T ₂ are compared with the values of the length, amount, thickness and number of eyelashes at the time point T ₂ ;
The method for analyzing eyelashes according to claim 3.   Based on a black and white image obtained by taking a photograph of the eye part including the right eye and the left eye with the piglet closed, a right eye and / or left eye image cut out from the black and white image, and a cut out right eye and / or left eye image A histogram, a corrected image created based on the cut out right eye and / or left eye images, a binarized image based on the corrected image, a histogram based on the corrected image, a time-series signal obtained by line scanning over the eyelashes in the corrected image, Fourier transform graph of the time series signal, length, amount, thickness, number of eyelashes obtained for each time point, length, amount, thickness, number of eyelashes obtained at different time points The method for analyzing eyelashes according to any one of claims 1 to 4, wherein one or more are displayed on a monitor by means of numerical values and / or images.   A computer is provided with a holder for each person, and a photograph image of the eye with the piglet closed, a monochrome image obtained by converting the photograph image into black and white, and the analysis method according to any one of claims 1 to 5 are performed. The method of analyzing eyelashes according to any one of claims 1 to 5, wherein various data and analysis results to be stored are stored in the holder for each person and can be reused. An eyelash analysis device,
(A) The photographic images of the eyes of the right eye and left eye with the piglets closed are converted as they are when the photographic image is a black and white image, and converted into a black and white image when the photographic image is a color image. Means to import into the computer;
(B) means for cutting out from the black and white image an image that includes the entire eye portion, the outer corner of the eye, and the eyelash portion, but does not include the eyebrows portion, for the eye that performs eyelash analysis;
(C) The brightness and darkness of the image cut out in (b) so that the histogram based on the light and darkness (luminance signal) based on the image cut out in (b) spreads and spreads from the darkest value to the brightest value in the horizontal axis direction. Means for correcting the image to produce a corrected image;
(D) means for producing a binarized image based on the corrected image of (c);
(E) means for creating a histogram based on brightness (brightness signal) based on the corrected image of (c);
(F) A line scan is performed on the eyelashes in the corrected image from the eye side to the eye corner side or from the eye corner side to the eye side, and is output as a time-series signal with the horizontal axis representing time and the vertical axis representing light and darkness (luminance). means;
(G) means for Fourier transforming the time-series signal output in (f);
(H) means for measuring the length of the longest eyelashes based on the corrected image obtained in (c);
(I) means for determining the amount of eyelashes from the binary image data of (d) and / or the histogram of (e);
(J) Means for obtaining the thickness and / or number of eyelashes from the result of Fourier transform calculated in (g) above;
The eyelash analysis apparatus characterized by having.   Based on the black and white image of the eye area of the eye that performs eyelash analysis with the piglet closed, the image cut-out means in (b) has a horizontal width between the eye area and the eye area, 8. The means for cutting out a rectangular image portion having a vertical dimension between a portion located above the portion of the portion and the outer corner of the eye and the most distal portion of the longest eyelash as an analysis image. The eyelash analysis apparatus described.   Based on a black and white image obtained by taking a photograph of the eye part including the right eye and the left eye with the piglet closed, a right eye and / or left eye image cut out from the black and white image, and a cut out right eye and / or left eye image A histogram, a corrected image created based on the cut out right eye and / or left eye images, a binarized image based on the corrected image, a histogram based on the corrected image, a time-series signal obtained by line scanning over the eyelashes in the corrected image, The Fourier transform graph of the time series signal, the length, amount, thickness, number of eyelashes obtained for each time point, the length, amount, thickness, number of eyelashes at each time point The eyelash analysis apparatus according to claim 7 or 8, further comprising means for displaying one or more on a monitor by means of numerical values and / or images.   Based on a black and white image obtained by taking a photograph of the eye part including the right eye and the left eye with the piglet closed, a right eye and / or left eye image cut out from the black and white image, and a cut out right eye and / or left eye image A histogram, a corrected image created based on the cut out right eye and / or left eye images, a binarized image based on the corrected image, a histogram based on the corrected image, a time-series signal obtained by line scanning over the eyelashes in the corrected image, The Fourier transform graph of the time series signal, the length, amount, thickness, number of eyelashes obtained for each time point, the length, amount, thickness, number of eyelashes at each time point The eyelash analysis apparatus according to any one of claims 7 to 9, further comprising means for organizing and storing one or more for each person.