JP2014036728A - Eyelash analysis device, eyelash analysis method, and eyelash analysis program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To analyze all eyelashes.SOLUTION: An eyelash analysis device analyzing eyelashes of a subject has: eyelash image extraction means extracting an eyelash image from an eye image of the subject; region division means dividing the eyelash image obtained by the eyelash image extraction means into prescribed regions correspondingly to a spread direction of the eyelashes; and eyelash analysis means analyzing the eyelashes in each prescribed region obtained by the region division means.

Description

  The present application relates to an eyelash analysis device, an eyelash analysis method, and an eyelash analysis program.

  Conventionally, mascara is used as a cosmetic for making the eyelashes look beautiful. In addition, conventionally, a method for evaluating mascara usability by comparing the result of measuring the eyelash state before applying mascara and the result of measuring the eyelash state after applying mascara is known. (For example, refer to Patent Document 1).

JP 2002-199932 A

  In the conventional method as described above, a line-shaped imaging region is extracted in a direction orthogonal to the extending direction of the eyelashes, and the state of the eyelashes is measured based on the image of the line-shaped imaging region. However, the actual eyelashes grow radially, and the eyelashes from the eyes to the corners of the eyes are curved, so in the linear imaging region that is simply orthogonal, there are, for example, eyelashes that cannot be measured at the eyes and the corners of the eyes. It will occur.

  The disclosed technique has been made in view of the above points, and an object thereof is to provide an eyelash analysis apparatus, an eyelash analysis method, and an eyelash analysis program capable of analyzing the entire eyelashes.

  According to one aspect of the disclosed technology, in order to achieve the above object, an eyelash analysis device that performs analysis on a subject's eyelashes, the eyelash image extracting unit that extracts an eyelash image from an eye image of the subject, The eyelash image obtained by the eyelash image extracting means is divided into predetermined areas corresponding to the spreading direction of the eyelashes, and the eyelashes are analyzed for each predetermined area obtained by the area dividing means. It has eyelash analysis means.

  Further, according to one aspect of the disclosed technology, there is an eyelash analysis method in an eyelash analysis device that performs analysis on a subject's eyelashes, and an eyelash image extraction procedure for extracting an eyelash image from an eye image of the subject, and the eyelash image The eyelash image obtained by the extraction procedure is divided into predetermined regions corresponding to the spreading direction of the eyelashes, and the eyelash analysis is performed for each predetermined region obtained by the region dividing procedure. And a procedure.

  Moreover, according to one viewpoint of the technique of an indication, it is the eyelash analysis program for functioning a computer as each means which the eyelash analysis apparatus mentioned above has.

  According to the disclosed technique, the entire eyelash can be analyzed.

It is a functional block diagram of the eyelash analyzer which concerns on this embodiment. It is a figure which shows an example of the hardware constitutions of the eyelash analyzer which concerns on this embodiment. It is a flowchart which shows the flow of the eyelash analysis process which concerns on this embodiment. It is a figure for demonstrating area division processing. It is a figure for demonstrating a scan line setting process. It is a figure for demonstrating the example of an analysis of the number of eyelashes, and a density. It is a figure for demonstrating the example of an analysis of the number of eyelashes of each area | region.

  Hereinafter, embodiments according to the disclosed technology will be described in detail.

<Eyelash analysis device: functional block configuration example>
FIG. 1 is a functional block diagram of the eyelash analysis apparatus according to the present embodiment. The eyelash analysis apparatus according to the present embodiment analyzes an eye image including eyelashes (elemental eyelashes) of a subject before applying cosmetics such as mascara and an eye image including eyelashes after applying cosmetics. Therefore, it is used for evaluating mascara usability, subject's palatability, and the like, but is not limited thereto.

  As shown in FIG. 1, the eyelash analysis apparatus 10 includes an input unit 11, an output unit 12, a storage unit 13, an eyelash image extraction unit 14, an area dividing unit 15, a scan line setting unit 16, and an eyelash analysis. Means 17, evaluation means 18, and control means 19 are provided.

  The input unit 11 includes, for example, a keyboard, a pointing device such as a mouse, a touch panel, and the like, and receives inputs such as start and end of various instructions from a user or the like.

  The output means 12 is composed of a display screen such as a display, for example, and displays and outputs the contents input by the input means 11 and the contents executed based on the input contents.

  The storage unit 13 stores, for example, various data such as the eye image of the subject, the coordinate position specified for the eye image of the subject, and the eyelash image obtained by the eyelash image extraction unit 14. Here, the eye image of the subject may be, for example, an image obtained by imaging the eyelashes of the subject from, for example, about 40 degrees downward from the position of the subject's eyes in a state where the subject has opened his eyes. In addition, it is good for a test subject's eyelashes to image the eyelashes before applying cosmetics, such as mascara, and the eyelashes after applying cosmetics, for example. Further, the storage means 13 can read out various data stored as necessary.

  The eyelash image extracting means 14 extracts the eyelash image from the eye image of the subject stored in the storage means 13. The eyelash image extracting means 14 binarizes the eye image of the subject, for example, and executes smoothing processing, noise removal processing, or the like as necessary, thereby obtaining the eyelash image applied from the eye head to the eye corner area by using the root of the eyelash (browth). ) To hair ends.

  The area dividing means 15 divides the eyelash image obtained by the eyelash image extracting means 14 into predetermined areas corresponding to the spreading direction of the eyelashes. For example, the region dividing unit 15 divides the eyelash image so as to follow the direction in which the eyelashes grow from the eyelids, or divides the eyelash image by the boundary including the eyes or the corners of the eyes. However, the present invention is not limited to this. The specific processing contents by the area dividing means 15 will be described later.

  The scan line setting unit 16 sets a scan line (scanning line) for scanning an image from the root position of the eyelash to the hair tip position for each predetermined region obtained by the region dividing unit 15. For example, the scan line setting unit 16 sets the scan line so as to be orthogonal to the direction in which the eyelashes grow in a predetermined region. The specific processing content by the scan line setting means 16 will be described later.

  The eyelash analysis means 17 performs analysis on the eyelashes for each predetermined region obtained by the area dividing means 15. The eyelash analysis means 17 is, for example, the number and density of eyelashes (hair bundles) included in the image scanned along the scan line set by the scan line setting means 16 and the average per eyelash (hair bundle). Analyze at least one of the thicknesses. The specific processing content by the eyelash analysis means 17 will be described later.

  The evaluation means 18 evaluates cosmetics such as eyelashes or mascara applied to the eyelashes according to the analysis result obtained by the eyelash analysis means 17. The contents of evaluation by the evaluation means 18 will be described later.

  The control means 19 controls the entire components of the eyelash analysis apparatus 10.

  By having the configuration described above, the eyelash analysis apparatus 10 can analyze the entire eyelash of the subject, and can evaluate the usability such as mascara and the preference of the subject.

<Eyelash analysis device: hardware configuration example>
FIG. 2 is a diagram illustrating an example of a hardware configuration of the eyelash analysis apparatus according to the present embodiment. As shown in FIG. 2, the eyelash analysis device 10 includes an input device 21, an output device 22, a drive device 23, an auxiliary storage device 24, a memory device 25, an arithmetic processing unit (CPU) 26, and a network connection. The apparatus 27 and the recording medium 28 are configured to be connected to each other via a system bus B.

  Note that various devices constituting the eyelash analysis apparatus 10 shown in FIG. 2 may be housed in one housing, or may be housed in a plurality of housings.

  The input device 21 is a pointing device such as a keyboard and mouse operated by the user, a touch panel operated by the user, and the like, and is used for inputting various operation instructions such as execution of an eyelash analysis program from the user.

  The output device 22 is a display that displays various windows, data, and the like necessary for operating the computer main body that executes each process according to the present embodiment. Displays the progress of execution and results.

  An execution program such as an eyelash analysis program is provided by a recording medium 28 such as a CD-ROM. The recording medium 28 is set in the drive device 23, and the execution program included in the recording medium 28 is installed in the auxiliary storage device 24 from the recording medium 28 via the drive device 23.

  Note that the recording medium 28 on which the program is recorded is a recording medium on which information such as a CD-ROM, a flexible disk, and a magneto-optical disk (MO) is recorded optically, electrically, or magnetically, or information such as a ROM and a flash memory. It is possible to use various types of recording media such as a semiconductor memory that electrically records data.

  The auxiliary storage device 24 is a storage means such as a hard disk, and stores an execution program such as an eyelash analysis program, a control program provided in a computer, various files necessary for processing the program, various data, and the like. Input / output accordingly.

  The memory device 25 stores an execution program read from the auxiliary storage device 24 by the arithmetic processing device 26. Note that the memory device 25 includes a ROM, a RAM, and the like.

  The arithmetic processing unit 26 is based on a control program such as an OS and an execution program such as an eyelash analysis program stored in the memory device 25, and performs various operations and input / output of data with each hardware component. Each process is realized by controlling the process. Various information necessary during the execution of the program is acquired from the auxiliary storage device 24 and stored.

  The network connection device 27 obtains an execution program such as an eyelash analysis program from another terminal connected to the communication network by connecting to a communication network or the like, or an execution result obtained by executing the program Alternatively, an execution program itself such as an eyelash analysis program is provided to another terminal.

  With the hardware configuration described above, the eyelash analysis process is efficiently realized at a low cost without requiring a special configuration. Moreover, by installing the program, the eyelash analysis processing according to the present embodiment can be easily realized. The hardware configuration described above can use, for example, a general-purpose PC, but is not limited to this.

<Eyelash analysis processing>
FIG. 3 is a flowchart showing a flow of eyelash analysis processing according to the present embodiment. The eyelash analysis apparatus 10 may perform eyelash analysis processing on the eye image of the subject before applying mascara and the eye image of the subject after application, for example.

  As shown in FIG. 3, the eyelash analysis apparatus 10 acquires a subject's eye image captured using an imaging device such as a camera, for example, and displays it on the screen (S10). When the designation of a predetermined location is accepted from the above, coordinate values corresponding to the location are acquired (S11). In the process of S11, for example, the user designates a predetermined portion such as the corner of the eye image displayed on the screen, the center of the eye, or the top of the eye by clicking the mouse or the like.

  Next, when the eyelash analysis apparatus 10 extracts and acquires the eyelash image from the eye image by the eyelash image extracting means 14 (S12), the coordinate value acquired in the processing of S11 is used to obtain a region for the extracted eyelash image. A boundary line is set by the dividing means 15, and the eyelash image is divided into predetermined regions corresponding to the spreading direction of the eyelashes (S13).

  Next, when the eyelash analysis apparatus 10 determines an analysis area among the areas of the eyelash image divided in the process of S13 (S14), the scan line setting means 16 sets the direction of the scan line in the determined analysis area ( S15).

  Next, when searching for the root position of the eyelash in the analysis region (S16), the eyelash analysis apparatus 10 moves the scan line by a predetermined distance from the searched root position toward the hair tip position (S17).

  Next, the eyelash analyzer 10 analyzes the number and density of eyelashes included in the image scanned along the scan line by the eyelash analyzer 17 and the average thickness per eyelash (S18).

  Next, the eyelash analyzer 10 determines whether or not the moved scan line has passed through the hair tip position (S19), and determines that it has not passed through the hair tip position (No in S19), S17. Return to the process. When the eyelash analysis apparatus 10 determines that the hair end position has been passed (Yes in S19), the eyelash analysis apparatus 10 determines whether or not the above-described processing has been completed for all regions of the eyelash image divided in the processing of S13 (S20). If it is determined that the above-described processing has not been completed for all the regions (No in S20), the processing returns to S14, the next analysis region is determined, and processing described later is continued. When the eyelash analysis apparatus 10 determines that the above-described process has been completed for all the regions (Yes in S20), the process ends.

  The eyelash analysis apparatus 10 may evaluate the eyelashes by the evaluation means 18 according to the analysis result obtained by the process of S18 described above.

<Regarding area division processing>
FIG. 4 is a diagram for explaining the region division processing. FIG. 4 shows an example of a subject's eye image. For example, an image is taken with a camera (EOS Kiss (registered trademark) X3, 4752 × 3168 pixels), and a lens (CANON (registered trademark) MACRO LENS EF-S 60 mm) is used. However, the image used in the present embodiment is not limited to this.

  As shown in FIG. 4, when the subject's eye image is displayed on the screen in the above-described processing of S <b> 10 in FIG. 3, the user selects, for example, point A, point B, point E among the displayed subject's eye images. , Point H and point I are designated by clicking with a mouse or the like.

  Point B indicates the vicinity of the eyelash root at the outermost part of the eye corner, point E indicates the vicinity of the eyelash root at the center of the eye, and point H indicates the vicinity of the eyelash root at the outermost part of the eye. Point A indicates a point where the straight line formed with the point B is outside the eyelashes located on the outermost part of the outer corner of the eye, and point I is located outside the eyelashes formed on the outermost part of the eye head with the straight line formed with the point H. Indicates a point.

  In the present embodiment, the above-described five points are specified by the user. However, the present invention is not limited to this, and each point may be set by image recognition or the like from the subject's eye image.

  When the area dividing unit 15 acquires the coordinate values corresponding to the five points described above in the process of S11 of FIG. 3, the area dividing unit 15 divides the eyelash image acquired in the process of S12 of FIG. In the process of S13, an approximate circle passing through these three points is obtained from the coordinate values of the three points B, E and H. In addition, the area dividing unit 15 sets points C and D that divide the arc connecting point B and point E into three equal parts on the obtained approximate circle, and sets the arc connecting point E and point H to 3 etc. A point F and a point G to be divided are set. Note that the equal number of fractions in this embodiment is not limited to three.

  Next, the area dividing means 15 sets straight lines connecting points C, D, E, F, and G from the center point of the approximate circle described above in order to set a boundary line for dividing the eyelash image into each area. Is extended. Thereby, as shown in FIG. 4, the boundary line of the lines 1-5 is set. Further, by providing a straight line connecting point A and point B, which is the outermost part on the outer corner of the eye, and providing a straight line connecting point H and point I, which is the outermost part of the outer side, the boundary line between lines 0 and 6 is obtained. Set each.

  As described above, the region dividing unit 15 sets the boundary lines of the lines 0 to 6, so that the line 0 and the line 1, the line 1 and the line 2, the line 2 and the line 3, and the line as illustrated in FIG. 4. 3 and line 4, line 4 and line 5, and line 5 and line 6 are divided into areas sandwiched by adjacent boundaries, and the analysis area is determined from the divided eyelash image area in the process of S14 of FIG. To do.

  It should be noted that the seven points of points B, C, D, E, F, G, and H, which are points that divide the above-described region, are such that each boundary line extends along the direction in which the eyelashes grow. In other words, the eyelashes are set so as not to cross the region. For example, the eyelashes may be set to about 4 to 10 points on the above-described approximate circle from the top of the eye to the outside of the eye.

  As described above, the region dividing unit 15 divides the region corresponding to the spread direction of the eyelashes so that the eyelashes that cannot be measured are generated in the eyes and the corners of the eyes, thereby analyzing the region including the eyes and the corners of the analysis. Can be set as

  The region dividing process by the region dividing unit 15 is performed on the eyelash image obtained by the eyelash image extracting unit 14 by acquiring the coordinate values corresponding to the five points described above and the processing of S12 in FIG. 3 described above. It is.

<Scanline setting process>
FIG. 5 is a diagram for explaining the scan line setting process. FIG. 5 shows an example of the eyelash image extracted by the eyelash image extracting means 14 from the eye image of the subject shown in FIG. 5A shows each region of the eyelash image divided by the region dividing means 15, and FIG. 5B is an enlarged view of the dotted line region shown in FIG. 5A. The scan line set in is shown.

  In the example of FIG. 5A, the eyelash image divided into, for example, regions 0 to 5 by the boundary lines set by the region dividing means 15 in FIG.

  In the example of FIG. 5B, the scan line 30 set in the region 4 serving as the analysis region among the regions illustrated in FIG. 5A is illustrated. As shown in FIG. 5B, for example, the scan line setting means 16 uses unit vectors (that is, circles) of two boundary lines (for example, line 4 and line 5 in the example of area 4) sandwiching each area. Unit vector with the center of the origin as the origin) and the average vector.

  The position of the scan line 30 is moved from the root to the hair tip in the direction of the average vector. The scan line setting unit 16 sets the scan line 30 in a direction perpendicular to the moving direction (that is, the direction of the average vector), and sets the intersection with the above-described boundary line (for example, the line 4 and the line 5) of the scan line 30. Set to be at both ends. Accordingly, the scan line 30 is set to be orthogonal to the direction in which the eyelashes of each region grow.

  The scan line setting means 16 determines the position at which eyelashes are first detected on the scan line 30 (the root position of the eyelashes) when moving the scan line 30 from below the eyelash roots toward the hair tip direction. The reference position 31 is set.

  The scan line 30 moves from the reference position (distance = 0) 31 at a predetermined position (for example, every 0.1 mm) toward the hair tip direction, and a position at which the eyelash is not detected on the scan line 30 (the eyelashes) It moves to (tip position) 32. Thereby, in the example of FIG. 5B, for example, the trapezoidal region 4 is scanned along the scan line 30.

  The scan result obtained by moving the scan line 30 is stored in the storage unit 13 in correspondence with the moving distance from the reference position 31, for example.

  In the present embodiment, the eyelash analysis means 17 performs analysis using the scan result of the scan line 30. For example, the eyelash analysis means 17 analyzes the number and density of eyelashes included in the scan line 30, the average thickness per eyelash, and the like.

  The eyelash analysis means 17 sets, for example, the thickness of the scan line 30 as one pixel, and the number of eyelashes (hair bundles) included in the scan line 30 is a black pixel obtained continuously on the scan line 30. Judge as number of groups. In addition, the eyelash analysis means 17 determines the density of the eyelashes on the scan line 30 as the eyelash portion (the number of black pixels) / the total number of pixels on the scan line 30.

  Further, the average thickness per eyelash (hair bundle) on the scan line 30 is determined as eyelash portion (number of black pixels) / number of eyelashes (hair bundle). The hair bundle is because the eyelashes are bundled by applying cosmetics such as mascara.

  The eyelash analysis means 17 may analyze the length of the eyelashes by connecting the black pixel group included on the scan line 30 from the root position of the eyelashes to the hair tip position, for example.

<Analysis example 1>
FIG. 6 is a diagram for explaining an analysis example of the number and density of eyelashes. In addition, the example of FIG. 6 has shown the analysis result of the some test subject. Since the length of the eyelashes is different depending on the person, here, for example, the longest length of the eyelashes in the analysis region is set as “1”, and the distance from the base reference position (0) is standardized. Further, the average value of the number and density of eyelashes is obtained every 0.05 from the reference position (0), and the average value is shown.

  6A shows an analysis example of the number of eyelashes in the region 2 of FIG. 5, for example, and FIG. 6B shows an analysis example of the density of eyelashes in the region 2 of FIG.

  In the example of FIG. 6 (A), the horizontal axis indicates distances 0.25, 0.5, 0.75, and 1 (hair tip) from the base reference position (0), and the vertical axis indicates the number of eyelashes. ing. As shown in FIG. 6 (A), when the uncoated eyelashes to which mascara is not applied is compared with the eyelashes to which mascara is applied, the number of eyelashes to which mascara is applied is reduced, but this applies mascara. This is because the eyelash becomes a hair bundle. In the example of FIG. 6A, for example, the number of eyelashes to which mascara is applied is reduced at a position of 0.25 to 0.75.

  From the analysis result of the number of eyelashes shown in FIG. 6A described above, the evaluation means 18 evaluates, for example, the ease with which the hair bundle is formed with respect to the mascara or the like (for example, the separation with the mascara, etc.). It becomes possible to do.

  In the example of FIG. 6B, the horizontal axis indicates distances 0.25, 0.5, 0.75, and 1 (hair tip) from the base reference position (0), and the vertical axis indicates the density of the eyelashes. Is shown. As shown in FIG. 6 (B), the density of the eyelashes to which the mascara is applied increases when the uncoated eyelashes to which the mascara is applied is compared with the eyelashes to which the mascara is applied. This is because the density increases due to adhesion.

  From the analysis result of the density of the eyelashes shown in FIG. 6B described above, the evaluation means 18 can evaluate, for example, how to attach mascara or the like (for example, a volume of mascara or the like) from the root reference position to the hair tip. It becomes possible.

  In the example of FIG. 6, the length and the density of the eyelashes are analyzed by standardizing the length of the eyelashes in the analysis region, but, for example, The length of the eyelashes to which the mascara is applied may be compared and the length of the eyelashes (for example, a long mascara or the like) may be evaluated by the evaluation means 18.

<Analysis example 2>
FIG. 7 is a diagram for explaining an analysis example of the number of eyelashes in each region. In FIG. 7, as in FIG. 6, the longest eyelash length in each analysis region is set as “1”, and the distance from the base reference position (0) is standardized. Further, an average value is obtained every 0.05 from the reference position (0), and the average value of the number of eyelashes is shown.

  7A shows an analysis example of the number of eyelashes in region 0, FIG. 7B shows an analysis example of the number of eyelashes in region 1, and FIG. 7C shows the analysis of the number of eyelashes in region 2. An analysis example of the number is shown. 7D shows an analysis example of the number of eyelashes in the region 3, FIG. 7E shows an analysis example of the number of eyelashes in the region 4, and FIG. An analysis example of the number of eyelashes is shown.

  Note that the area 0 shown in FIG. 7A includes the above-described eye corner area shown in FIGS. 4 and 5, and the area 5 shown in FIG. 7F includes the above-described eye area shown in FIGS. 4 and 5. Including.

  As shown in FIG. 7A to FIG. 7F, when comparing the uncoated eyelashes to which the mascara is applied and the eyelashes to which the mascara is applied, the region 5 shown in FIG. The change in the number of bare eyelashes and the eyelashes coated with mascara is less than that in the region 0 shown in FIG. From here, for example, the evaluation means 18 can evaluate that there are many people without mascara near the eyes.

  In addition, the evaluation means 18 may evaluate that there are many people who apply mascara in the vicinity of the outer corner of the eye because there are many changes in the number of eyelashes in each region shown in FIG. 7 (A) to FIG. 7 (C). It becomes possible.

  Thus, since it becomes possible to evaluate the difference in the number of eyelashes in each region (between the top of the eye and the density), the density, etc., for example, not only the usability of mascara, but also the age, country, region, It is also possible to evaluate the preference for each era.

  As described above, according to the present embodiment, the entire eyelash can be analyzed.

  The preferred embodiments of the disclosed technology have been described above in detail, but the disclosed technology is not limited to the specific embodiments, and within the scope of the disclosed technology described in the claims, Various modifications and changes are possible.

DESCRIPTION OF SYMBOLS 10 Eyelash analyzer 11 Input means 12 Output means 13 Storage means 14 Eyelash image extraction means 15 Area division means 16 Scan line setting means 17 Eyelash analysis means 18 Evaluation means 19 Control means 21 Input device 22 Output device 23 Drive device 24 Auxiliary storage device 25 Memory Device 26 Arithmetic Processing Device 27 Network Connection Device 28 Recording Medium 30 Scan Line 31 Reference Position 32 Hair Tip Position

Claims (17)

An eyelash analysis device for analyzing a test subject's eyelashes,
Eyelash image extracting means for extracting an eyelash image from the subject's eye image;
Area dividing means for dividing the eyelash image obtained by the eyelash image extracting means into predetermined areas corresponding to the spreading direction of the eyelashes;
An eyelash analysis device comprising eyelash analysis means for analyzing eyelashes for each predetermined region obtained by the region dividing means. The region dividing means includes
The eyelash analysis apparatus according to claim 1, wherein the eyelash image is divided along a direction in which the eyelashes of the eyelash image grow. The region dividing means includes
The eyelash analysis apparatus according to claim 1, wherein the eyelash image is divided by a boundary line including an eye head or an eye corner of the eyelash image.   The eyelash analyzer according to any one of claims 1 to 3, further comprising a scan line setting unit that sets a scan line for scanning from the root position of the eyelash to the hair tip position for each predetermined region. . The scan line setting means includes
The eyelash analysis apparatus according to claim 4, wherein the scan line is set so as to be orthogonal to a direction in which eyelashes grow in the predetermined region. The eyelash analysis means includes
The analysis of at least one of the number, density, and average thickness per eyelash included in an image scanned along the scan line set by the scan line setting means. Item 5. An eyelash analysis apparatus according to item 4 or 5. The eye image is
The eyelash analysis apparatus according to any one of claims 1 to 6, wherein the eyelash is an image obtained by imaging the eyelash of the subject from below the eye position in a state where the subject is open. .   8. The apparatus according to claim 1, further comprising an evaluation unit configured to evaluate the eyelashes or a cosmetic applied to the eyelashes according to an analysis result for each predetermined region obtained by the eyelash analysis unit. The eyelash analysis apparatus described in 1. The eyelash analysis method in the eyelash analysis device for analyzing the eyelash of the subject,
An eyelash image extraction procedure for extracting an eyelash image from the subject's eye image;
An area division procedure for dividing the eyelash image obtained by the eyelash image extraction procedure into a predetermined area corresponding to the spreading direction of the eyelash;
An eyelash analysis procedure for performing an eyelash analysis procedure for each predetermined region obtained by the region dividing procedure. The region dividing procedure includes:
The eyelash analysis method according to claim 9, wherein the eyelash image is divided along a direction in which the eyelashes of the eyelash image grow. The region dividing procedure includes:
11. The eyelash analysis method according to claim 9, wherein the eyelash image is divided by a boundary line including an eye head or an eye corner.   The eyelash analysis method according to any one of claims 9 to 11, further comprising: a scan line setting procedure for setting a scan line for scanning from the root position of the eyelash to the hair tip position for each predetermined region. . The scan line setting procedure includes:
The eyelash analysis method according to claim 12, wherein the scan line is set so as to be orthogonal to a direction in which eyelashes grow in the predetermined region. The eyelash analysis procedure includes:
The analysis of at least one of the number, density, and average thickness per eyelash included in an image scanned along the scan line set by the scan line setting means. Item 14. The eyelash analysis method according to Item 12 or 13. The eye image is
The eyelash analysis method according to any one of claims 9 to 14, wherein the eyelash is an image obtained by imaging the eyelashes of the subject from below the eye position in a state in which the subject has eyes open. .   16. The method according to claim 9, further comprising an evaluation procedure for evaluating the eyelashes or a cosmetic applied to the eyelashes according to an analysis result for each predetermined region obtained by the eyelash analysis procedure. The eyelash analysis method described in 1. Computer
The eyelash analysis program for functioning as each means which the eyelash analysis apparatus as described in any one of Claims 1 thru | or 8 has.