JP2013188325A - Skin condition analysis method, skin condition analysis device, skin condition analysis system, program for executing the skin condition analysis method, and recording medium recording the program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a skin condition analysis method for measuring three-dimensional shapes of crista cutis of a skin surface and analyzing a skin condition based on the measured crista cutis.SOLUTION: A skin condition analysis method for analyzing a state of a skin surface based on shapes of crista cutis of the skin surface includes: a shape acquisition step of measuring a three-dimensional shape of the skin surface, and acquiring three-dimensional shape data of the skin surface; an original image generation step of generating an original image related to the skin surface based on the acquired three-dimensional shape data; and a crista cutis extraction step of correcting the original image by use of Gaussian filter processing and/or noise removal processing to generate a correction image, and extracting the crista cutis based on the correction image.

Description

  The present invention relates to a skin condition analyzing method, a skin condition analyzing apparatus, a skin condition analyzing system, and a program for causing a computer to execute the skin condition analyzing method. And a computer-readable recording medium on which the program is recorded.

  The human skin condition (hereinafter referred to as “skin condition”) changes the shape of the skin surface with aging (for example, FIG. 1 (a) is in the twenties, FIG. 1 (b) is in the forties, FIG. 1 (c) is a photograph of the skin surface of the 60s). At this time, in order to develop a cosmetic suitable for the age, it is necessary to clarify the skin state that changes with aging. In order to evaluate the developed cosmetic, it is necessary to clarify the state of the skin surface before and after the use of the cosmetic.

  Patent Document 1 discloses a technique capable of measuring the three-dimensional shape of a pore by acquiring three-dimensional shape measurement data of a replica obtained by collecting the skin surface state in order to evaluate the pore.

  In Patent Document 2 and Patent Document 3, in order to quantify the epidermis tissue, the luminance value of each pixel is converted from a two-dimensional image captured by the camera so that the variation of the luminance value of the image becomes a predetermined value or more. Thus, a technique for calculating an index quantifying the epidermal tissue is disclosed.

JP 2005-345297 A International Publication No. 2009/142069 Pamphlet JP 2008-61892 A

  Smooth skin (fine skin) is said to be the ideal skin condition. Here, the well-structured skin means a skin state in which the dermis SH has a three-dimensional shape (FIG. 2A). In addition, FIG.2 (b) is the skin state of a planar shape. For this reason, in order to analyze a well-organized skin, it is necessary to analyze the three-dimensional shape of the skin mound SH.

  In the technique disclosed in Patent Document 1, pores (about 100 μm) can be analyzed, but the three-dimensional shape of the skin may not be analyzed. In particular, the amount of change in the three-dimensional shape of the skin due to aging is several μm or less. For this reason, in the technique disclosed in Patent Document 1, there is a case where it is not possible to analyze the skin state in consideration of the amount of change in the shape of the skin due to aging. In addition, the techniques disclosed in Patent Document 2 and Patent Document 3 sometimes cannot analyze the three-dimensional shape of the skin due to the analysis using the two-dimensional image.

  The present invention has been made under such circumstances, and measures the three-dimensional shape of the skin hill on the skin surface, and can analyze the skin state based on the measured three-dimensional shape of the hill An object is to provide a skin condition analysis apparatus and a skin condition analysis system.

  According to one aspect of the present invention, there is provided a skin condition analysis method for analyzing the condition of the skin surface based on the shape of the skin surface, and measuring the three-dimensional shape of the skin surface, A shape acquisition step for acquiring three-dimensional shape data of the skin surface, an original image generation step for generating an original image related to the skin surface based on the acquired three-dimensional shape data, a Gaussian filter process and / or a noise removal process A skin condition analysis method is provided, including: a step of generating a corrected image by correcting the original image using, and a step of extracting the hill based on the corrected image. The skin image further includes a skin groove extraction step for extracting a skin groove on the skin surface based on the correction image, and the skin groove extraction step includes Gaussian filter processing, binarization processing, and / or noise removal for the correction image. A skin condition analysis method is provided, including a corrected image processing step for performing processing, wherein the skin hill extraction step extracts the skin hill based on the extracted skin groove. Further, the skin mound extracting step extracts, as the skin mound, a difference image obtained by subtracting the pixel corresponding to the skin groove from the correction image, or around the pixels corresponding to the skin groove of the correction image. By extracting a pixel as the skin groove, there is provided a skin condition analyzing method including a skin hill discrete step for separating the skin hill.

  According to another aspect of the present invention, there is provided a skin condition analyzing method for analyzing the condition of the skin surface based on the shape of the skin surface, and measuring the three-dimensional shape of the skin surface, A shape acquisition step for acquiring three-dimensional shape data of the skin surface, an original image generation step for generating an original image related to the skin surface based on the acquired three-dimensional shape data, a Gaussian filter process and / or a noise removal process And a step of extracting a skin mound based on the corrected image to generate a corrected image by correcting the original image using a skin, and a skin groove on the skin surface based on the corrected image. The skin groove extraction step further includes a correction image processing step of performing Gaussian filter processing, binarization processing and / or noise removal processing on the correction image. The skin mound extraction step includes a skin evaluation step of extracting the skin mound based on the extracted skin groove and evaluating the state of the skin surface based on the extracted skin mound. A characteristic skin condition analysis method is provided. In the skin evaluation step, the state of the skin surface is evaluated using any one or more of the shape, number, flatness and / or inclination of the skin, or the area of the skin groove There is provided a skin condition analysis method characterized by evaluating the condition of the skin surface by further using any one or more of length, width and / or depth. Further, the skin evaluation step calculates an evaluation age corresponding to the shape, the number, the flatness, the inclination, the area, the length, the width and / or the depth, and based on the evaluation age And providing a skin condition analysis method characterized by evaluating the condition of the skin surface.

  According to another aspect of the present invention, there is provided a skin condition analyzing apparatus for analyzing the condition of the skin surface based on the shape of the skin surface, and measuring the three-dimensional shape of the skin surface, Measuring means for acquiring three-dimensional shape data of the skin surface, and extracting the dermis based on the three-dimensional shape data, and analyzing means for analyzing the state of the skin surface based on the dermis, The analysis means includes an image generation unit that generates an original image related to the skin surface based on the three-dimensional shape data, a skin hill analysis unit that extracts the skin hill based on a corrected image obtained by correcting the original image, A skin condition analyzing apparatus characterized by comprising: Moreover, the said analysis means further includes the result evaluation part which evaluates the state of the said skin surface based on the extracted said skin, The skin state analysis apparatus characterized by the above-mentioned is provided. Furthermore, the skin groove analysis unit further extracts a skin groove based on the corrected image obtained by correcting the original image, and the skin groove analysis unit extracts the lowest point group of the skin groove. A skin condition analysis apparatus is provided.

  According to another aspect of the present invention, there is provided a skin condition analyzing device for analyzing the condition of the skin surface based on the shape of the skin surface, and measuring the three-dimensional shape of the skin surface. Measuring means for acquiring three-dimensional shape data of the skin surface, and analyzing means for extracting the skin hill based on the three-dimensional shape data and analyzing the state of the skin surface based on the skin hill. The analysis means generates an original image related to the skin surface based on the three-dimensional shape data, and a skin groove analysis unit extracts the skin groove based on a corrected image obtained by correcting the original image. And a skin anatomy analyzing unit for extracting the skin based on the extracted skin groove, and further comprising a skin groove analyzing unit for extracting the skin groove based on the corrected image obtained by correcting the original image, The skin groove analysis unit extracts the lowest point group of the skin groove. The transdermal Hill analysis unit, the skin condition analysis apparatus and extracting a difference image by subtracting the pixel corresponding to the skin groove from the corrected image as the skin hill is provided. Further, the skin condition analysis device is characterized in that the skin condition analysis device disperses the skin by extracting pixels around the pixel corresponding to the skin groove of the correction image as the skin groove. Provided. Further, the result evaluation unit evaluates the state of the skin surface using any one or more of the shape, number, flatness and / or inclination of the skin, the area of the skin groove, the length Evaluating the condition of the skin surface by further using any one or more of height, width and / or depth, or the shape, the number, the flatness, the slope, the area, the length An evaluation age corresponding to the width and / or the depth is calculated, and a state of the skin surface is evaluated based on the calculated evaluation age.

  Furthermore, according to another aspect of the present invention, there is provided a skin condition analysis system including the skin condition analyzer, wherein the analysis means communicates with the skin condition analyzer using wireless or wired communication. A characteristic skin condition analysis system is provided.

  According to the present invention, it is possible to measure the three-dimensional shape of the cuticle on the skin surface and analyze the skin state based on the measured three-dimensional shape of the cuticle.

It is explanatory drawing explaining the surface of the skin classified by age. It is the schematic explaining the skin with the texture. It is a schematic block diagram explaining an example of the skin condition analyzer which concerns on embodiment of this invention. It is a functional block diagram which shows an example of the function of the analysis means (skin groove analysis part) of the skin condition analyzer which concerns on embodiment of this invention. It is a functional block diagram which shows an example of the function of the analysis means (sucking head analysis part) of the skin condition analyzer which concerns on embodiment of this invention. It is a flowchart figure explaining an example of the operation | movement which the skin condition analyzer which concerns on embodiment of this invention analyzes. It is a flowchart figure explaining an example of the operation | movement which the skin condition analyzer which concerns on Example 1 of this invention analyzes. It is explanatory drawing explaining the skin surface which the skin condition analyzer which concerns on Example 1 of this invention analyzes. It is explanatory drawing explaining the analysis result (skin) of the skin condition analyzer which concerns on Example 1 of this invention. It is explanatory drawing explaining the analysis result (skin) of the skin condition analyzer which concerns on Example 1 of this invention. It is explanatory drawing explaining the evaluation result (the number of skin hills) of the skin condition analyzer which concerns on Example 1 of this invention. It is explanatory drawing explaining the evaluation result (skin shape) of the skin condition analyzer which concerns on Example 1 of this invention. It is explanatory drawing explaining the evaluation result (flatness and inclination of a skin mound) of the skin condition analyzer which concerns on Example 1 of this invention. It is a schematic block diagram explaining an example of the skin condition analysis system which concerns on Example 2 of this invention.

  Non-limiting exemplary embodiments of the present invention will be described with reference to the accompanying drawings. In the description of all the attached drawings, the same or corresponding parts or parts are denoted by the same or corresponding reference numerals, and redundant description is omitted. Also, the drawings are not intended to show the relative ratio between parts or parts. Accordingly, specific dimensions in the drawings can be determined by one skilled in the art in light of the following non-limiting embodiments.

(Configuration of skin condition analyzer)
The schematic block diagram of the skin condition analyzer which concerns on embodiment of this invention is shown in FIG.

  As shown in FIG. 3, the skin condition analysis apparatus 100 according to the embodiment of the present invention measures the shape of the skin surface, extracts the skin on the basis of the measured shape, and the skin surface on the basis of the extracted skin. Is a device for analyzing the condition (hereinafter referred to as “skin condition”). In this embodiment, the skin condition analyzing apparatus 100 instructs each component of the entire skin condition analyzing apparatus 100 to operate, and controls the control means 10 for controlling the operation, and measures the three-dimensional shape of the skin surface to thereby determine the skin surface. Measuring means 20 for acquiring the three-dimensional shape data, and an analysis means 30 for extracting the skin on the basis of the measured three-dimensional shape data and evaluating the skin state on the basis of the extracted skin. Further, in this embodiment, the skin condition analysis apparatus 100 includes a storage unit 40 that stores measurement conditions and measurement results of the measurement unit 20, analysis conditions, analysis results, and evaluation results of the analysis unit 30, and measurement of the measurement unit 20. Interface means 50 is provided for inputting conditions and the like from the skin condition analysis apparatus 100 to the skin condition analysis apparatus 100 and outputting measurement results and the like to the skin condition analysis apparatus 100.

  In the following description, the part (part) for analyzing the skin state is the cheek part of the subject in this embodiment. In addition, the site | part (part) which analyzes a skin state is not limited to a cheek part, The skin state of arbitrary site | parts (parts) can be analyzed.

  The control means 10 is a means for instructing each component of the skin condition analyzing apparatus 100 (such as a measuring unit 20 described later) to control the operation of each component. In the present embodiment, the control means 10 controls the measurement means 20 based on measurement conditions and the like input using the interface means 50 (input unit 51 described later). Further, the control means 10 controls the analysis means 30 (described later) based on the analysis conditions and the evaluation conditions input using the interface means 50. Further, the control unit 10 outputs the measurement result, the analysis result, the evaluation result, and the like to the interface unit 50 (an output unit 52 and a display unit 53 described later).

  The measuring unit 20 is a unit that measures the three-dimensional shape of the skin surface, acquires three-dimensional shape data of the skin surface (hereinafter referred to as “three-dimensional shape data Df”), and outputs the data to the analyzing unit 30. In the present embodiment, the measuring means 20 includes a test unit 21 that arranges the skin surface (or replica) to be measured, an imaging unit 22 that measures (images) the three-dimensional shape of the skin surface, and the test unit 21. And a drive unit 23 that changes a relative positional relationship with the skin surface.

  In the present embodiment, the test unit 21 arranges a replica collected on the skin surface. The replica used for measurement is a replica with a diameter of about 30 mm collected at a site for analyzing the skin condition. Moreover, the collection position of the skin surface by the replica is not limited to the cheek, but can be collected from the skin surface of an arbitrary site (part). Further, the skin state may be directly measured (imaged) by the imaging unit 22 described later without collecting the replica.

  The imaging unit 22 measures a three-dimensional shape of a replica (or skin surface) arranged in the test unit 21. In this embodiment, the imaging unit 22 acquires, as a shape acquisition step, the three-dimensional shape data Df of the collected replica as image data using a confocal microscope. The confocal microscope can be configured by using a condensing lens, a beam splitter, an objective lens, a pinhole, a photodetector, and the like. Further, the confocal microscope can collect the emitted light emitted from the light source (laser light source) with a condenser lens, transmit the light through a beam splitter, and irradiate the replica with the objective lens. Further, in the confocal microscope, the reflected light reflected by the replica surface of the irradiation light can be transmitted through the objective lens, reflected by the beam splitter, and incident on the photodetector through the pinhole. At this time, the confocal microscope can acquire the replica three-dimensional shape data Df by detecting the reflected light.

  The drive unit 23 changes the relative positional relationship between the test unit 21 (replica) and the imaging unit 22 (confocal microscope). Further, the drive unit 23 can move the imaging unit 22 (such as an objective lens of a confocal microscope) in the optical axis direction of the irradiation light in order to acquire the three-dimensional shape data Df of the replica. Furthermore, the drive unit 23 can change the position of the test unit 21 in order to place the replica on the test unit 21. The driving unit 23 may be a well-known driving device (such as a parallel movement device and a rotation movement device).

  The analysis unit 30 is a unit that analyzes (evaluates) the skin state of the part from which the replica is collected based on the three-dimensional shape data Df of the replica (or skin surface) acquired by the measurement unit 20. In this embodiment, the analysis unit 30 includes an image generation unit 31 that generates a three-dimensional image of the skin state (hereinafter referred to as “original image Do”) based on the three-dimensional shape data Df acquired by the measurement unit 20. A skin groove analysis unit 32F that extracts an image (hereinafter, referred to as “skin groove ST”) related to the skin groove based on the generated original image Do, and an image (hereinafter referred to as “ It is referred to as “skin SH”. ”And a result evaluation unit 33 that evaluates the skin state based on the extracted skin mound SH and skin groove ST.

  As the original image generation step, the image generation unit 31 generates the original image Do based on the three-dimensional shape data Df acquired by the imaging unit 22 (measurement unit 20). Specifically, the image generation unit 31 synthesizes a plurality of optical tomographic images (three-dimensional shape data Df) acquired by the imaging unit 22 while changing the in-focus position by the driving unit 23, thereby generating a replica. A three-dimensional image (original image Do) can be synthesized (generated).

  The skin groove analysis unit 32F extracts the skin groove ST based on the generated original image Do as a skin groove extraction step. In this embodiment, the skin groove analysis unit 32F generates an image (hereinafter referred to as “corrected image Dr”) obtained by correcting the original image Do using Gaussian filter processing and / or noise removal processing. 4), a skin groove extraction unit 32FE (FIG. 4) that extracts a skin groove ST using a Gaussian filter process and a binarization process based on the generated correction image Dr, and noise included in the extracted skin space ST A noise removing unit 32FN (FIG. 4) that generates an image from which noise has been removed (hereinafter, referred to as “image Dn after noise removal”) and information on the groove bottom of the skin groove ST based on the image Dn after noise removal. A lower point group extraction unit 32FZ (FIG. 4) and a skin groove shape analysis unit 32FA (FIG. 4) for analyzing the skin groove shape based on the extracted information about the groove bottom.

  The image correction unit 32FR can generate a corrected image Dr by correcting the original image Do using Gaussian filter processing and / or noise removal processing. Here, the Gaussian filter process (Gaussian Filter Process) is a process of correcting the image (smoothing process) to remove the inclination and warp distortion of the entire replica. Specifically, the image correction unit 32FR uses a Gaussian filter having a wavelength (for example, a wavelength of 2.4 mm) that does not affect the image portion representing the shape of the pores, skin grooves, and hides, and focuses attention on the image. An image is corrected by a Gaussian distribution function that has a greater weight when calculating an average value as it is closer to the pixel and becomes smaller as it is farther from the target pixel of the image.

  The skin groove extraction unit 32FE extracts the skin groove ST based on the generated correction image Dr. Specifically, the skin groove extraction unit 32FE, as a correction image processing step, uses a Gaussian having a wavelength (for example, 0.4 mm) that can smooth the pores and skin shapes without affecting the skin shape. After smoothing the corrected image Dr by the filter process, the skin groove part (skin groove ST) is specified by the binarization process. Accordingly, the skin groove extraction unit 32FE can extract the skin groove ST from the correction image Dr. Here, the binarization processing sets a predetermined threshold value for the luminance value (brightness) of each pixel of the image, and sets it to “0” if it is less than the predetermined threshold value, and “1” if it is greater than or equal to (2). This is image processing.

  The noise removal unit 32FN removes noise included in the extracted skin groove ST and generates a noise-removed image Dn as a corrected image processing step. Here, as the noise removal processing, a smoothing filter, a median filter, and other noise removal filters can be used. In the present embodiment, the skin groove extraction unit 32FE performs a labeling process on the skin groove part extracted by the binarization process to remove a minute-sized lump, thereby removing noise. The minute size can be a value corresponding to the size (size) of the skin groove to be extracted. Further, the minute size can be set to a predetermined value by numerical calculation, experiment, or the like.

  As the groove bottom extraction step, the lowest point group extraction unit 32FZ extracts information related to the groove bottom of the skin groove ST based on the image Dn after noise removal. Specifically, in the present embodiment, the lowest point group extraction unit 32FZ is based on the coordinates in the z-axis direction (the direction toward the inside of the skin) of the after-noise-removed image Dn of the skin state based on the three-dimensional shape data Df. Thus, the lowest point group STz of the skin groove ST can be specified. Thereby, the skin groove analysis part 32F can acquire the lowest point group STz of the skin groove ST as information regarding the groove bottom.

  The skin groove shape analysis unit 32FA may calculate the shape of the skin groove (the area, length, width, and depth of the skin groove) based on the noise-removed image Dn and the extracted information about the groove bottom. Specifically, the skin groove shape analysis unit 32FA calculates the mathematical expression (1) to the mathematical expression based on the lowest point group STz of the skin groove ST and the total area Sa (image Dn after noise removal) of the analysis range (imaging range). By (4), the area Sf, the length Lf, the width Wf, and the depth Df of the skin groove can be calculated.

Sf = (ΣSTs) / Sa × 100 [%] Formula (1)
Lf = Σ (STz _n (x, y) −STz _n−1 (x, y)) [mm ² / mm] Formula (2)
Wf = Sa · Sf / Lf [μm] Formula (3)
Df = ΣSTz _n (z) / n [μm] Formula (4)
Here, STs is the area of skin groove ST on the xy plane, Σ is the sum, STz _n (x, y) is the total number n of the nth point of the lowest point group STz on the xy plane (skin surface) The coordinate, STz _n (z), is the z coordinate of the nth point in the total number n of the lowest point group STz.

  The method of calculating the skin groove area Sf, length Lf, width Wf, and depth Df is not limited to the above formula. Further, the skin anatomy unit 32R (described later) of the present invention can extract the skin mound SH without calculating the shape of the skin groove (area, length, width and depth of the skin groove). .

  The skin mound analyzing unit 32R extracts a skin mound SH based on the extracted skin groove ST as a skin mound extraction step. The skin mound analysis unit 32R extracts the skin mound SH based on the image correction unit 32RR (FIG. 5) that generates an image (hereinafter, referred to as “reverse image DRr”) obtained by reversing the skin groove ST, and the reverse image DRr. And a noise removal unit 32RN (FIG. 5) that generates an image from which noise included in the extracted skin hill SH is removed (hereinafter referred to as “image after noise removal DRn”). Have.

  The image correction unit 32RR can generate a reverse image DRr obtained by performing a reverse process on the image Dn after noise removal (or the correction image Dr) using the skin ST extracted by the skin groove extraction unit 32FE.

  The skin mound extraction unit 32RE extracts the skin mound SH based on the generated reverse image DRr. The skin mound extraction unit 32RE may extract a difference image obtained by subtracting pixels corresponding to pores or skin grooves ST as the skin mound SH. Further, the skin mound extraction unit 32RE can separate the skin mound SH by extracting pixels around the pixel corresponding to the skin groove ST as the skin groove ST as the skin mound discrete step. Specifically, the skin hill extraction unit 32RE first specifies a pixel corresponding to the skin groove ST (hereinafter referred to as “skin groove pixel STpx”) in the image DRn after noise removal. Next, the skin hill extraction unit 32RE enlarges the width of the skin groove ST by assuming that the pixels around the skin groove pixel STpx are also skin groove pixels STpx. As a result, the skin mound extraction unit 32RE can reduce the extracted mound SH (hereinafter, reducing the extracted mound SH is referred to as “reduction processing”). That is, the hill extraction unit 32RE can discrete (divide) the hills connected in a small area.

  The noise removal unit 32RN generates a noise-removed image DRn obtained by removing noise included in the extracted skin mound SH by noise removal processing. Here, the noise removal process is a process for calculating the area of the skin mound SH for each of the skin mounds SH extracted by the labeling process, and removing the area smaller than the specified value as noise. The specified value can be a value corresponding to the size (size) of the extracted mound. Further, the specified value can be a value determined in advance by numerical calculation, experiment, or the like.

  As a skin evaluation step, the result evaluation unit 33 evaluates the skin state based on the analyzed skin hill SH (shape, number, flatness, and inclination). Here, the result evaluation unit 33 may evaluate the skin state by further using the analyzed skin groove ST (area, length, width, and depth).

  Further, the result evaluation unit 33 calculates the evaluation age Ae corresponding to the skin hill SH (shape, number, flatness and / or inclination) as the skin evaluation step, and calculates the calculated evaluation age Ae and the input unit 51 (interface) The skin condition may be evaluated by comparing the evaluation condition (for example, the age of the subject) input using the means 50). Here, the result evaluation unit 33 further calculates an evaluation age Ae corresponding to the skin groove ST (area, length, width and / or depth), and the calculated evaluation age Ae and the input unit 51 (interface unit 50). The skin condition may be evaluated by comparing the evaluation condition (for example, the age of the subject) input using.

  Furthermore, the result evaluation unit 33 may evaluate the skin mound SH using a predetermined evaluation index. Here, the result evaluation unit 33 may further evaluate the skin groove ST using a predetermined evaluation index.

  Specifically, the result evaluation unit 33 can compare the analyzed skin state with a predetermined evaluation index, and can evaluate the skin state based on the magnitude or difference thereof. As a result, it is possible to obtain a quantitative index of how “good” the skin condition is instead of dividing it into “good” or “bad”. In addition, it is possible to obtain an evaluation result of how close the analyzed skin condition is to the predicted value, and to obtain guidelines for subsequent research and development.

  Here, the predetermined evaluation index may be a value corresponding to the collected skin region, age, skin exposure environment, and the like. In addition, the predetermined evaluation index can be based on the skin condition when it was collected last time (evaluation of change over time). Furthermore, the predetermined evaluation index can be a value determined in advance by numerical calculation, experiment, or the like.

  The storage unit 40 includes a measurement result measured by the measurement unit 20 of the skin condition analysis apparatus 100, an analysis result analyzed by the analysis unit 30, an evaluation result evaluated, and a measurement condition and analysis input by the interface unit 50 (input unit 51). Conditions (such as filters used for image correction) and evaluation conditions (such as evaluation indices) are stored. In addition, the storage unit 40 stores information and a control program necessary for the control unit 10 to control the operation of each component of the skin condition analysis apparatus 100. The storage means 40 can use a known technique.

  The interface means 50 is information transmission means or information communication means for inputting / outputting information to / from the skin condition analysis apparatus 100. In this embodiment, the interface unit 50 inputs the measurement condition, analysis condition, and evaluation condition from the outside to the skin condition analysis apparatus 100, and the measurement result, analysis result, and evaluation result to the outside of the skin condition analysis apparatus 100. It has the output part 52 which outputs, and the display part 53 which displays a measurement result, an analysis result, an evaluation result, etc. The interface unit 50 can use a known technique.

(Function of skin condition analyzer)
The function that the skin condition analysis apparatus 100 according to the present embodiment analyzes the skin condition will be described with reference to FIGS. 4 and 5.

  FIG. 4 is a functional block diagram illustrating an example of functions of the analysis unit 30 (skin groove analysis unit 32F and result evaluation unit 33) of the skin condition analysis apparatus 100 according to the present embodiment. FIG. 5 is a functional block diagram showing an example of the functions of the analysis means 30 (the hide hill analysis unit 32R and the result evaluation unit 33) of the skin condition analysis apparatus 100 according to the present embodiment.

  The function of the skin groove analysis part 32F of the analysis means 30 is demonstrated using FIG.

  In FIG. 4, the skin condition analysis apparatus 100 acquires the replica three-dimensional shape data Df by the imaging unit 22 (measurement means 20) in order to start analysis of the skin condition in response to an operation instruction of the interface means 50. It outputs to the production | generation part 31 (analysis means 30) (30 inches in a figure).

  Next, the image generation unit 31 generates an original image Do based on the three-dimensional shape data Df acquired by the imaging unit 22, and temporarily stores the original image Do in the original image storage unit 31m. Thereafter, the control means 10 outputs the original image Do to the image correction unit 32FR.

  The image correction unit 32FR generates a correction image Dr based on the original image Do generated by the image generation unit 31, and temporarily stores it in the correction image storage unit 32FRm. Thereafter, the control means 10 outputs the corrected image Dr to the skin groove extraction unit 32FE. Here, the image correction unit 32FR can generate the corrected image Dr by Gaussian filter processing.

  The skin groove extraction unit 32FE uses the correction image Dr generated by the image correction unit 32FR to extract the skin groove ST (image related to the skin groove) in the correction image Dr, and temporarily stores the skin groove ST in the extraction skin groove storage unit 32FEm. Remember me. Thereafter, the control means 10 outputs the skin groove ST to the noise removing unit 32FN. Here, the skin groove extraction unit 32FE can process the corrected image Dr by Gaussian filter processing and / or binarization processing, and can extract the skin ST from the processed image.

  The noise removing unit 32FN removes noise included in the skin groove ST extracted by the skin groove extracting unit 32FE, generates a noise-removed image Dn, and temporarily stores the noise-removed image storage unit 32FNm. Thereafter, the control means 10 outputs the noise-removed image Dn to the lowest point group extraction unit 32FZ. Here, the noise removal unit 32FN can generate the noise-removed image Dn using a noise removal filter such as a median filter.

  The lowest point group extraction unit 32FZ uses the skin ST extracted by the skin extraction unit 32FE, the noise-removed image Dn generated by the noise removal unit 32FN, and the three-dimensional shape data Df acquired by the imaging unit 22, The lowest point group STz of the groove ST is extracted and temporarily stored in the lowest point group storage unit 32FZm. Thereafter, the control means 10 outputs the skin groove ST and the lowest point group STz to the skin groove shape analyzing unit 32FA. Here, the lowest point group extraction unit 32FZ scans in one direction of the image to be extracted (for example, the x-axis direction or the y-axis direction on the skin surface (xy plane)) and sequentially extracts the lowest point. Also good.

  The skin groove shape analysis unit 32FA uses the skin groove ST extracted by the skin groove extraction unit 32FE, the lowest point group STz extracted by the lowest point group extraction unit 32FZ, and the three-dimensional shape data Df acquired by the imaging unit 22. Then, the skin condition (skin groove area Sf, length Lf, width Wf, and depth Df) is calculated and temporarily stored in the calculation result storage unit 32FAm. Thereafter, the control unit 10 outputs the calculated result (skin state) to the result evaluation unit 33. Here, the skin groove shape analysis unit 32FA can calculate the skin state using the mathematical expressions (1) to (4).

  Next, the result evaluation unit 33 evaluates the skin state based on the result (skin state) calculated by the skin groove shape analysis unit 32FA. Further, the result evaluation unit 33 can evaluate the skin state based on the evaluation age Ae corresponding to the result (skin state) calculated by the skin groove shape analysis unit 32FA. Furthermore, the result evaluation unit 33 may compare the calculated result (skin state) with a predetermined evaluation index, and may evaluate the skin state based on the magnitude or difference thereof. When the evaluation is completed, the evaluation result is output to the interface means 50 (the output unit 52 and the display unit 53) and also output to the skin hill analysis unit 32R (32Fout in the figure).

  Next, the function of the hide hill analysis part 32R of the analysis means 30 is demonstrated using FIG.

  In FIG. 5, the skin condition analysis apparatus 100 uses the skin groove ST extracted by the skin groove analysis unit 32F to generate a reverse image DRr by reversal processing by the image correction unit 32RR, and temporarily stores it in the correction image storage unit 32RRm. Remember. Thereafter, the control means 10 outputs the reverse image DRr to the skin mound extraction unit 32RE.

  The dermis extraction unit 32RE extracts the dermis SH (image related to the dermis) in the inverted image DRr using the inverted image DRr generated by the image correction unit 32RR, and temporarily stores the dermis SH in the extraction dermis storage unit 32REm. Remember me. Thereafter, the control means 10 outputs the skin mound SH to the noise removing unit 32RN. Here, the skin mound extraction unit 32RE can correct the reverse image DRr by the reduction process, and extract the skin mound SH from the image after the correction.

  The noise removal unit 32RN removes the noise included in the skin mound SH extracted by the skin mound extraction unit 32RE, generates a noise-removed image DRn, and temporarily stores the noise-removed image DRn in the noise-removed image storage unit 32RNm. To remember. Thereafter, the control unit 10 outputs the noise-removed image DRn to the result evaluation unit 33. Here, the noise removal unit 32RN can calculate the area of the skin mound SH for each skin mound SH extracted by the labeling process, and can remove a noise smaller than the specified value as noise.

  Next, the result evaluation unit 33 evaluates the skin state by using the cuticle SH extracted by the cuticle extraction unit 32RE and the noise-removed image DRn generated by the noise removal unit 32RN. Moreover, the result evaluation part 33 can evaluate a skin state based on the evaluation age Ae etc. corresponding to the skin mound SH extracted by the skin mound extraction part 32RE. Furthermore, the result evaluation unit 33 may compare the skin mound SH (skin state) extracted by the skin mound extraction unit 32RE with a predetermined evaluation index, and may evaluate the skin state based on the magnitude or difference. When the evaluation is completed, the calculation result and the evaluation result are output to the interface means 50 (output unit 52, display unit 53) (30out in the figure).

  As described above, each configuration of the skin condition analysis apparatus 100 according to the present embodiment has a function for analyzing the skin condition. The skin condition analysis apparatus 100 includes an original image storage unit 31m, a corrected image storage unit 32FRm, an extracted skin groove storage unit 32FEm, a noise-removed image storage unit 32FNm, a lowest point group storage unit 32FZm, and a calculation result storage unit 32FAm, In addition, the storage unit 40 may include a corrected image storage unit 32RRm, an extracted skin hill storage unit 32REm, and a noise-removed image storage unit 32RNm. Further, the skin condition analyzing apparatus 100 may store the result regarding the skin condition evaluated by the result evaluation unit 33 in the storage unit 40.

(Operation to analyze skin condition)
A skin condition analysis method in which the skin condition analysis apparatus 100 according to the embodiment of the present invention analyzes and evaluates the skin condition will be described with reference to FIG. FIG. 6 is a flowchart for explaining an example of an operation analyzed by the skin condition analysis apparatus 100 according to the present embodiment.

  As shown in FIG. 6, in step S <b> 601, the skin condition analysis apparatus 100 according to the present embodiment first places a replica (or skin surface) to be measured in the test unit 21 (measurement means 20). In the skin condition analysis apparatus 100, measurement conditions, analysis conditions, and evaluation conditions are input by the input unit 51 (interface means 50). Thereafter, the process proceeds to step S602.

  Next, in step S602, the skin condition analysis apparatus 100 acquires the three-dimensional shape data Df by the imaging unit 22 (measurement unit 20) as a shape acquisition step, and the image generation unit 31 (analysis unit 30) as an original image generation step. To generate the original image Do. Thereafter, the process proceeds to step S603.

  In step S603, the skin condition analysis apparatus 100 extracts the skin gap ST by the skin groove analysis unit 32F (analysis means 30) as a skin groove extraction step. Moreover, the skin condition analysis apparatus 100 extracts the skin mound SH by the skin mound analysis part 32R as a skin mound extraction step. Thereafter, the process proceeds to step S604.

  In step S604, the skin condition analysis apparatus 100 stores the analysis result (step S603) by the recording unit 40. Moreover, the skin condition analysis apparatus 100 outputs the analysis result to the result evaluation part 33 (analysis means 30). Thereafter, the process proceeds to step S605.

  In step S605, the skin condition analysis apparatus 100 evaluates the analysis result by the result evaluation unit 33 as a skin evaluation step. Thereafter, the process proceeds to step S606. Here, the skin condition analysis apparatus 100 evaluates the skin condition based on the skin mound SH (number Nr of skin mounds, skin flatness Fsh, and skin mound inclination θsh). Further, the skin condition analysis apparatus 100 calculates an evaluation age Ae corresponding to the skin mound SH (number Nr of skin mounds, skin flatness Fsh, and skin mound inclination θsh), and inputs the calculated evaluation age Ae. The skin condition may be evaluated by comparing with the evaluation conditions (such as the age of the subject) input by the unit 51 (interface means 50). Furthermore, the skin condition analysis apparatus 100 may evaluate the skin condition using a predetermined evaluation index.

  The skin condition analysis apparatus 100 may evaluate the skin condition based on the skin groove ST (the skin groove area Sf, the length Lf, the width Wf, and the depth Df) as a skin evaluation step. Alternatively, the skin condition analysis apparatus 100 calculates the evaluation age Ae corresponding to the skin groove ST (the skin groove area Sf, the length Lf, the width Wf, and the depth Df), and the calculated evaluation age Ae and the input unit 51. The skin condition may be evaluated by comparing with the evaluation conditions (such as the age of the subject) input by the (interface means 50).

  Next, in step S606, the skin condition analysis apparatus 100 determines whether or not the analysis of the skin condition is to be ended by the control means 10. That is, the control means 10 determines whether or not to end the analysis of the skin condition based on the analysis condition and the evaluation condition input by the input unit 51 (interface means 50). When the analysis ends, the process proceeds to END in the figure. When the analysis is repeated again, the process returns to step S602. Note that the skin condition analysis apparatus 100 may proceed to END in the drawing without performing the determination in step S606.

  Thus, the operation (skin condition analysis method) in which the skin condition analysis apparatus 100 analyzes and evaluates the skin condition is completed.

(Program and recording medium on which the program is recorded)
The program Pr according to the present invention is a skin condition analyzing method for analyzing the condition of the skin surface based on the shape of the skin surface, and measuring the three-dimensional shape of the skin surface, Using a shape acquisition step for acquiring three-dimensional shape data, an original image generation step for generating an original image related to the skin surface based on the acquired three-dimensional shape data, and a Gaussian filter process and / or a noise removal process Then, a correction image is generated by correcting the original image, and a skin mound extraction step of extracting the skin mound based on the correction image is executed. Further, the program Pr according to the present invention further includes a skin groove extraction step for extracting a skin groove on the skin surface based on the correction image, and the skin groove extraction step includes: A correction image processing step of performing a valuation process and / or a noise removal process is included, and the skin hill extraction step extracts the skin hill based on the extracted skin groove. Further, in the program ridge extraction step of the program Pr according to the present invention, the difference image obtained by subtracting the pixel corresponding to the skin groove from the correction image is extracted as the skin hill, or the skin groove of the correction image By extracting the pixels around the pixel corresponding to the skin groove as the skin groove, a step of separating the skin may be included.

  The program Pr according to the present invention is a skin condition analysis method for analyzing the condition of the skin surface based on the shape of the skin surface of the skin, measuring the three-dimensional shape of the skin surface, A shape acquisition step for acquiring three-dimensional shape data of the skin surface, an original image generation step for generating an original image related to the skin surface based on the acquired three-dimensional shape data, a Gaussian filter process and / or a noise removal process To correct the original image to generate a corrected image, and based on the corrected image, extract a dermis to extract the dermis, and based on the extracted dermis, the state of the skin surface A skin evaluation step of performing evaluation, and further including a skin groove extraction step of extracting a skin groove on the skin surface based on the correction image, wherein the skin groove extraction step includes the correction image. A correction image processing step of performing a Gaussian filter process, a binarization process and / or a noise removal process, wherein the skin mound extraction step extracts the skin mound based on the extracted skin groove, and the skin evaluation The step is to evaluate the state of the skin surface using any one or more of the shape, number, flatness and / or inclination of the skin, or the area, length and width of the skin groove And / or any one or more of the depths can be further used to assess the condition of the skin surface. Further, the skin evaluation step of the program Pr according to the present invention calculates an evaluation age corresponding to the shape, the number, the flatness, the inclination, the area, the length, the width and / or the depth. The condition of the skin surface can be evaluated based on the evaluation age.

  According to these configurations, the program Pr according to the present invention can obtain the same effect as the skin condition analysis apparatus 100 according to the present invention.

  Further, the present invention may be a recording medium Md that can be read by a computer in which the program Pr is recorded. As the recording medium Md on which the program Pr is recorded, a flexible disk, a CD-ROM, a memory card, and other computer-readable media can be used.

  The present invention will be described using examples including the skin condition analysis apparatus 100 according to the embodiment. The present invention can be used for any device other than the present embodiment as long as it analyzes (evaluates) the state of the skin surface (skin state) based on the shape of the skin surface. For example, in order to confirm the effect of cosmetics, it can use for what analyzes the skin state before and behind application of cosmetics.

Example 1
(Configuration of skin condition analyzer)
FIG. 3 shows the configuration of the skin condition analysis apparatus 200 according to this embodiment. The configuration of the skin condition analysis apparatus 200 is the same as the configuration of the skin condition analysis apparatus 100 of the embodiment, and a description thereof will be omitted.

(Operation in which skin condition analyzer evaluates skin condition)
A skin condition analysis method in which the skin condition analysis apparatus 200 according to the present embodiment analyzes the skin condition will be described with reference to FIGS.

  FIG. 7 is a flowchart illustrating an example of an operation analyzed by the skin condition analysis apparatus 200 according to the present embodiment.

  FIG. 8A shows the surface of the replica transferred from the skin surface analyzed by the skin condition analysis apparatus 200 according to the present embodiment. FIG. 8B shows a three-dimensional image (original image Do) based on the result of three-dimensional measurement of the surface of the replica. FIG. 8C shows a three-dimensional image (corrected image Dr) based on the result of three-dimensional measurement of the replica surface.

  FIG. 9A shows an analysis result (skin groove) of the corrected image Dr analyzed by the skin condition analysis apparatus 200 according to the present embodiment. FIG. 9B shows a binarization process after performing smoothing by Gaussian filter processing of a wavelength (for example, 0.4 mm) that smoothes the shape of pores and skins without affecting the shape of the skin groove. The analysis result of the correction image Dr which extracted the skin groove is shown. FIG. 9C shows an image (noise-removed image Dn) obtained by enlarging a part of the corrected image Dr in FIG. 9B. FIG. 9D shows an analysis result explaining the lowest point group STz of the skin groove. FIG.9 (e) shows the enlarged view of the analysis result of the lowest point group STz of a skin groove. FIG. 9F shows an enlarged view of the analysis result obtained by extracting the skin groove by the thinning process.

  FIG. 10A shows the analysis result (skin) of the reverse image DRr of the skin condition analysis apparatus 200 according to the present embodiment. FIG. 10B shows the analysis result of the separation state of the skin of the reverse image DRr. FIG.10 (c) shows the analysis result explaining the cuticle SH after a reduction process. FIG. 10D shows an analysis result for explaining the skin mound SH after noise removal by the labeling process.

  FIG. 11 is an explanatory diagram for explaining the evaluation result (number of hides) of the skin condition analysis apparatus 200 according to the present embodiment. In FIG. 11, A, B, C, D, and E on the horizontal axis indicate subjects who are 5-9 years old, 10-19 years old, 20-44 years old, 45-59 years old, and 60-90 years old.

  FIG. 12A is an explanatory diagram for explaining the evaluation result (skin shape) of the skin condition analysis apparatus 200 according to the present embodiment. FIG. 12B is an explanatory diagram illustrating an evaluation result (a comparison of the shapes of the skin hills) of the skin condition analysis apparatus 200 according to the present example. FIG. 13A and FIG. 13B are explanatory diagrams for explaining the evaluation results (flatness and inclination of the skin mound) of the skin condition analysis apparatus 200 according to the present embodiment.

  As shown in FIG. 7, in step S <b> 701, the skin condition analysis apparatus 200 captures a three-dimensional shape by capturing an image of the replica (FIG. 8A) placed on the test unit 21 by the imaging unit 22 (measurement unit 20). Data Df is acquired, and an original image Do (FIG. 8B) is generated by the image generation unit 31 (analysis means 30). Thereafter, the process proceeds to step S702.

  Next, in step S702, the skin condition analysis apparatus 200 generates a correction image Dr by the image correction unit 32FR (skin groove analysis unit 32F) based on the original image Do generated by the image generation unit 31. Specifically, the image correction unit 32FR generates a corrected image Dr (FIG. 8C) from which the inclination of the entire replica of the original image Do (FIG. 8B) is removed by Gaussian filter processing. Next, the image correction unit 32FR generates a corrected image Dr (FIG. 9A) obtained by removing (smoothing) relatively large irregularities of the corrected image Dr (FIG. 8C) by Gaussian filter processing. Thereafter, the skin condition analysis apparatus 200 proceeds to step S703.

  In step S703, the skin condition analysis apparatus 200 extracts a skin groove ST from the corrected image Dr by the skin groove extraction unit 32FE (skin groove analysis unit 32F). Specifically, the skin groove extraction unit 32FE specifies and extracts the skin groove ST (FIG. 9B) from the correction image Dr (FIG. 9A) by Gaussian filter processing and / or binarization processing. To do. Thereafter, the skin condition analysis apparatus 200 proceeds to step S704.

  In step S704, the skin condition analysis apparatus 200 removes noise from the skin groove ST (FIG. 9B) extracted by the skin groove extraction unit 32FE by the noise removal unit 32FN (skin groove analysis unit 32F). An image Dn (FIG. 9C) is generated. Thereafter, the skin condition analysis apparatus 200 proceeds to step S705.

  In step S705, the skin condition analysis apparatus 200 uses the lowest point group extraction unit 32FZ (skin groove analysis unit 32F) to generate the noise-removed image Dn (FIG. 9C) and the three-dimensional shape data Df (step S701). The lowest point group STz (FIG. 9D) of the skin groove ST is extracted. Here, the lowest point group extraction unit 32Z scans in one direction of the image to be extracted (for example, the x-axis direction or the y-axis direction on the skin surface (xy plane)), and extracts the lowest point group STz. Also good. Thereafter, the skin condition analysis apparatus 200 proceeds to step S706.

  FIGS. 9E and 9F show the lowest point group STz obtained by extracting the lowest point and the fine line STn obtained by the thinning process. FIG. 9E and FIG. 9F both extract the shape of the groove bottom of the skin groove ST. As shown in FIGS. 9 (e) and 9 (f), the extraction of the lowest point (FIG. 9 (e)) is more effective in the skin ST than in the case of the thinning process (FIG. 9 (f)). It can be seen that the shape of the groove bottom is accurately approximated. That is, the skin condition analysis apparatus 200 according to the present embodiment uses the skin ST (FIG. 9C) and the three-dimensional shape data Df (step S701) by the lowest point group extraction unit 32FZ to use the skin ST. The lowermost point group STz (FIG. 9D) can be extracted, and the three-dimensional shape inside the skin groove ST and the skin groove ST can be extracted.

  Next, in step S706 of FIG. 7, the skin condition analysis apparatus 200 uses the cuticle analysis unit 32R to generate the correction image Dr generated by the skin groove analysis unit 32F, the extracted skin groove ST, and the three-dimensional image acquired by the imaging unit 22. The skin mound SH is extracted using the shape data Df and the like. Specifically, the skin condition analysis apparatus 200 first uses the skin groove ST (image related to the skin groove) extracted by the skin groove analysis unit 32F by the image correction unit 32RR (skin duck analysis unit 32R) to generate an inverted image. DRr is generated (FIG. 10A). Next, the skin condition analysis apparatus 200 extracts the skin mound SH in the reverse image DRr by using the reverse image DRr generated by the image correction unit 32RR by the skin extractor 32RE (the skin hill analysis unit 32R) (FIG. 10 (b)). Next, the skin condition analysis apparatus 200 separates the skin mound SH by reducing the skin mound SH using the mould extraction unit 32RE (the mound analysis unit 32R) (FIG. 10C). Furthermore, the skin condition analyzing apparatus 200 removes noise included in the mound SH extracted and separated by the mound extracting unit 32RE by the noise removing unit 32RN (the mound analyzing unit 32R) to remove the noise. A rear image DRn is generated (FIG. 10D). Thereafter, the skin condition analysis apparatus 200 proceeds to step S707.

  In step S707, the skin condition analysis apparatus 200 calculates the number Nr of skins extracted by the skin extractor 32RE, and determines whether the number Nr of skins is equal to or greater than a predetermined threshold value. Here, the skin condition analysis apparatus 200 proceeds to step S708 when the number Nr of skin hills is equal to or greater than a predetermined threshold value. If the number Nr of skins is less than a predetermined threshold, the skin condition analysis apparatus 200 further reduces the skins SH of the image DRn after noise removal (FIG. 10C), and proceeds to step S708. Here, the predetermined threshold value can be a value corresponding to the imaging range captured by the imaging unit 22, the collected skin region, age, skin exposure environment, and the like. Further, the predetermined threshold value can be a value determined in advance by numerical calculation, experiment, or the like.

Next, in step S708, the skin condition analysis apparatus 200 can determine whether or not the extraction of the skin mound SH is to be terminated. Specifically, when the number Nr of skins is within a predetermined range, skin condition analysis apparatus 200 ends the extraction of skins and proceeds to step S709. When the number Nr of skin hills is outside the predetermined range, the skin condition analysis apparatus 200 returns to step S707 to perform the reduction process again (FIG. 10 (d)). Note that the skin condition analysis apparatus 200 may proceed to step S709 without performing the determination in step S708. Here, the predetermined range can be a value corresponding to the imaging range imaged by the imaging unit 22, the collected skin region, age, skin exposure environment, and the like. The predetermined range can be a value determined in advance by numerical calculation, experiment, or the like. Furthermore, the predetermined range may be a range of 100 to 400 pieces / cm ² (FIG. 11).

  In step S709 of FIG. 7, the skin condition analysis apparatus 200 causes the result evaluation unit 33 to analyze the shape of the skin (and skin groove) extracted by the skin hill analysis unit 32R (and skin groove analysis unit 32F). Specifically, the skin condition analysis apparatus 200 has a shape SHa (for example, FIG. 12) in which a plurality of extracted skins (SH <b> 1 to SH <b> 5 in FIG. 12A) are superimposed on the barycentric positions of the skins. (B)) can be generated. Further, the skin condition analysis apparatus 200 can generate a shape (for example, FIGS. 13A and 13B) in which all the extracted skins are overlapped at the center of gravity. Here, SH20 of Fig.13 (a) and FIG.13 (b) is the range where 20% or less of hides are included among all the extracted hides. SH40, SH60, and SH80 in FIGS. 13 (a) and 13 (b) are ranges in which 40%, 60%, and 80% or less of the skins are included among all the extracted skins. SH100 in FIGS. 13A and 13B is a range in which more than 80% of the extracted skins are included.

  After analyzing the cuticle shape, the skin condition analysis apparatus 200 proceeds to step S710.

  In step S710, the skin condition analysis apparatus 200 uses the result evaluation unit 33 as evaluation values for evaluating the shape of the skin, as the flatness Fsh of the skin and the inclination θsh of the skin (an angle with respect to the vertical direction, for example, FIG. 13 ( θa in a) and θb) in FIG. 13B can be calculated. In addition, the skin condition analysis apparatus 200 uses the result evaluation unit 33 to evaluate the skin groove area Sf, length Lf, width Wf, and depth Df as evaluation values for evaluating the skin groove shape by using the mathematical formula (1). You may calculate using-(4). The flatness Fsh of the hide hill can be calculated by Equation (5), where a is the long side of the ellipse formed by the SH 100 and b is the short side.

Fsh = b / a Formula (5)
After calculating the evaluation value, the skin condition analysis apparatus 200 proceeds to step S711.

  In step S <b> 711, the skin condition analysis apparatus 200 can evaluate the skin condition by comparing the calculated evaluation value and the reference value by the result evaluation unit 33. Here, the skin condition analysis apparatus 200 uses, as reference values, the skin condition of each age (the number Nr of hides (for example, FIG. 11), the flatness Fsh, and the inclination θsh (for example, FIGS. 13A and 13B). ), And the area Sf, length Lf, width Wf, and depth Df) of the skin groove can be stored in the storage means 40 in advance.

  Further, the skin condition analysis apparatus 200 uses the calculated evaluation values (the number Nr of skins, the flatness Fsh and the inclination θsh, and the skin groove area Sf, length Lf, width Wf, and depth Df) as a reference. The evaluation age Ae can be calculated using the value. That is, the skin condition analysis apparatus 200 compares the calculated number Nr of skins with a reference value (for example, FIG. 11) by the result evaluation unit 33, and performs linear interpolation to determine the age corresponding to the calculated number Nr of skins. (Evaluation age Ae) can be calculated. Similarly, the skin condition analyzing apparatus 200 can calculate the evaluation age Ae by comparing the evaluation value such as the flatness Fsh of the skin with the reference value by the result evaluation unit 33.

  Furthermore, the skin condition analysis apparatus 200 can output the calculated evaluation age Ae as an evaluation result by the output unit 52 and the display unit 53 (interface unit 50). The skin condition analysis apparatus 200 can output the result of comparing the actual age Ar (age of the subject who collected the replica) and the calculated evaluation age Ae by the output unit 52 and the display unit 53. Thereby, the skin condition analysis apparatus 200 can quantitatively evaluate the skin condition.

  When the evaluation of the skin condition is completed, the process proceeds to END in the figure, and the skin condition analysis apparatus 200 ends the operation of evaluating the skin condition.

(Example 2)
The present invention will be described using the skin condition analysis system of Example 2.

(Configuration of skin condition analysis system)
FIG. 14 is an example of a schematic configuration diagram of the skin condition analysis system of the present embodiment.

  As shown in FIG. 14, the skin condition analysis system 300 includes a skin condition analysis device 300S and an external device 300E. Since the basic configuration of the skin condition analyzing apparatus 300S is the same as that of the skin condition analyzing apparatus 200 of the first embodiment (FIG. 3), only different configurations will be described.

  In this embodiment, the skin condition analyzing apparatus 300S includes NW means (network means, communication means) 300Sn. Similarly, the external device 300E has NW means 300En. Skin condition analyzing apparatus 300S and external apparatus 300E can communicate with each other by wire or wirelessly by means of NW means 300Sn and NW means 300En. The external device 300E can use cloud computing or the like.

  The external device 300E includes an analysis unit 30, a storage unit 40E, and an interface unit 50E. Based on the information output from the skin condition analysis apparatus 300S, the external device 300E determines the skin condition (the number Nr of skins, the flatness Fsh and the inclination θsh, and the skin groove area Sf, length Lf, width Wf and Depth Df) can be calculated. Note that the external device 300E may include only a part of the analysis unit 30.

  As described above, the skin condition analysis system 300 can reduce the processing amount in the skin condition analysis apparatus 300S, and thus the skin condition analysis apparatus 300S can be reduced in size, weight, and simplification. The skin condition analysis system 300 can use a PC or the like for the external device 300E. Further, the external device 300E can store the past skin condition of the client (cosmetic user, subject, etc.) in the storage unit 40E. For this reason, the skin condition analysis system 300 can evaluate the temporal change of the skin condition of the client.

(Operation in which skin condition analyzer evaluates skin condition)
The skin condition analysis method by which the skin condition analysis system 300 according to the present embodiment evaluates the skin condition is the same as that in the first embodiment, and thus description thereof is omitted.

  Although the present invention has been described above with reference to the exemplary embodiments and examples, the present invention is not limited thereto, and various modifications and changes can be made in light of the appended claims. .

  Note that the skin condition analysis method, the skin condition analysis apparatus, and the skin condition analysis system according to the present invention may be combined with other analysis methods for analyzing dullness, wrinkles, spots, texture, pores, and the like of the skin. Good. In addition, the skin condition analysis method, skin condition analysis apparatus and skin condition analysis system according to the present invention are combined with skin sebum amount, skin elasticity, skin color analysis, pigmentation status and other skin diagnosis results, The skin condition may be evaluated. Thereby, in the medical and cosmetic sales, etc., not only specialists but also the skin condition analysis method, the skin condition analysis apparatus and the skin condition analysis system according to the present invention are used to evaluate the quantitative skin condition ( Diagnosis, beauty counseling, etc.).

100, 200, 300S: Skin condition analysis apparatus 10: Control means 20: Measuring means, 21: Test part, 22: Imaging part, 23: Imaging part 30: Analyzing means, 31: Image generating part, 32: Skin groove analysis Unit 33: result evaluation unit 40: storage unit 50: interface unit 51: input unit 52: output unit 53: display unit 300: skin condition analysis system 300E: external device 300Sn, 300En: NW device (communication unit)
Pr: Program Md: Storage medium Df: Three-dimensional shape data Do: Original image Dr, DRr: Corrected image Dn, DRn: Noise-removed image SH, SH1 to SH5, Sha: Cuticle ST: Skin groove STz: Skin groove Bottom point (bottom point group)
θsh: Skin slope Fsh: Skin flatness Sf: Skin groove area Lf: Skin groove length Wf: Skin groove width Df: Skin groove depth Ae: Evaluation age Ar: Actual age

Claims (20)

A skin condition analysis method for analyzing the state of the skin surface based on the shape of the cuticle on the skin surface,
A shape acquisition step of measuring the three-dimensional shape of the skin surface and acquiring three-dimensional shape data of the skin surface;
Based on the acquired three-dimensional shape data, an original image generation step for generating an original image related to the skin surface;
A dune extraction step of correcting the original image using a Gaussian filter process and / or a noise removal process to generate a corrected image, and extracting the cuticle based on the corrected image. Skin condition analysis method. Further comprising a skin groove extraction step of extracting a skin groove on the skin surface based on the corrected image;
The skin groove extraction step includes a correction image processing step of performing Gaussian filter processing, binarization processing and / or noise removal processing on the correction image,
The skin mound extraction step extracts the skin mound based on the extracted skin groove.
The skin condition analysis method according to claim 1, wherein:   The skin condition analyzing method according to claim 2, wherein the skin groove extracting step includes a groove bottom extracting step of extracting a lowest point group of the skin groove.   The skin condition analysis method according to claim 2 or 3, wherein the skin mound extraction step extracts a difference image obtained by subtracting pixels corresponding to the skin groove from the correction image as the skin mound.   The dermis extraction step includes a dermis discrete step of separating the dermis by extracting pixels around the pixel corresponding to the sulcus of the correction image as the sulcus. The skin condition analysis method according to any one of claims 2 to 4.   The skin condition analyzing method according to any one of claims 2 to 5, further comprising a skin evaluation step for evaluating the state of the skin surface based on the extracted skin.   The said skin evaluation step evaluates the state of the said skin surface using any one or more of the shape, number, flatness, and / or inclination of the cuticle. Skin condition analysis method.   The skin evaluation step further includes using any one or more of the area, length, width and / or depth of the skin groove to evaluate the state of the skin surface. The skin condition analysis method described in 1.   The skin evaluation step calculates an evaluation age corresponding to the shape, the number, the flatness, the slope, the area, the length, the width and / or the depth, and based on the evaluation age The skin condition analysis method according to claim 8, wherein the condition of the skin surface is evaluated.   The program for making a computer perform the skin condition analysis method as described in any one of Claims 1 thru | or 9.   The computer-readable recording medium which recorded the program of Claim 10. A skin condition analyzing device for analyzing the condition of the skin surface based on the shape of the skin hill,
Measuring means for measuring the three-dimensional shape of the skin surface and obtaining three-dimensional shape data of the skin surface;
Extracting the cuticle based on the three-dimensional shape data, and analyzing the skin surface based on the cuticle,
The analysis means includes an image generation unit that generates an original image related to the skin surface based on the three-dimensional shape data, a skin hill analysis unit that extracts the skin hill based on a corrected image obtained by correcting the original image, including,
A skin condition analyzing apparatus characterized by that.   The skin condition analysis apparatus according to claim 12, wherein the analysis unit further includes a result evaluation unit that evaluates the state of the skin surface based on the extracted skin. Further comprising a skin groove analysis unit for extracting a skin groove based on the corrected image obtained by correcting the original image;
The skin condition analyzing apparatus according to claim 12 or 13, wherein the skin groove analyzing unit extracts a lowest point group of the skin groove.   The skin state analysis apparatus according to claim 14, wherein the skin mound analyzing unit extracts a difference image obtained by subtracting pixels corresponding to the skin groove from the correction image as the skin mound.   16. The dermis analyzing unit according to claim 14 or 15, wherein the dermis analyzing unit separates the dermis by extracting pixels around the pixel corresponding to the sulcus of the correction image as the sulcus. The skin condition analysis apparatus described.   The result evaluation unit evaluates the state of the skin surface using any one or more of the shape, number, flatness and / or inclination of the cuticle. The skin condition analysis apparatus as described in any one of these.   The said result evaluation part evaluates the state of the said skin surface further using any one or more of the area, length, width, and / or depth of the said skin groove. The skin condition analysis apparatus described in 1.   The result evaluation unit calculates an evaluation age corresponding to the shape, the number, the flatness, the inclination, the area, the length, the width and / or the depth, and based on the calculated evaluation age The skin condition analyzing apparatus according to claim 18, wherein the condition of the skin surface is evaluated. A skin condition analysis system including the skin condition analysis apparatus according to any one of claims 12 to 19,
The said analysis means communicates with the said skin condition analysis apparatus using a radio | wireless or a wire communication, The skin condition analysis system characterized by the above-mentioned.