JP5771647B2 - Skin analysis device, skin analysis system, skin analysis method, and skin analysis program - Google Patents

Description

  The present invention relates to a skin analysis device, a skin analysis system, a skin analysis method, and a skin analysis program for analyzing the state of skin spots or wrinkles.

  Conventionally, when measuring the state of spots and wrinkles on the entire face, it is necessary to use a dedicated device that is only available in beauty salons and dermatologists. In beauty salons and beauty dermatologists, in order to keep the lighting environment constant, devices such as dedicated shooting curtains and lighting are provided, and technicians operate dedicated devices to measure spots and wrinkles. Yes.

  Patent Document 1 proposes a technique for analyzing a face image taken by a user, but there is a restriction that data for color correction is separately required.

JP 2000-339331 A

  Conventionally, in order for a user to grasp his / her own state of wrinkles and wrinkles, it is necessary to go to a beauty salon or a cosmetic dermatologist, measure the wrinkles and wrinkles with a dedicated device, and receive a diagnosis by an expert. Therefore, the user needs a certain amount of time and expense to grasp the state of the stain or wrinkle, and cannot easily grasp the state of the stain or wrinkle at his / her favorite timing. Therefore, even if the user wants to know the objective state of the spot or wrinkle, there are few opportunities to actually measure the spot or wrinkle.

  The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a skin analysis device, a skin analysis system, a skin analysis method, and a skin analysis program that allow a user to easily check the state of her own spots or wrinkles. It is to provide.

In order to achieve the above object, the first aspect of the present invention is a skin analysis apparatus, which specifies an analysis target range of a digital image based on a predetermined part of a face included in a digital image transmitted from a terminal. And means for measuring the distance between the left and right eyes, and normalizing the digital image by enlarging or reducing the image size so that the distance between the eyes is a predetermined length. detecting edges, e Bei a detection means for generating an analysis image set in the digital image the edge as stain or wrinkle, the specifying unit specifies a plurality of analysis target range, said detecting means, The method of setting the edge to the digital image is changed for each analysis target range, and the edge analysis target range is detected using a dynamic binarization method, and the wrinkle analysis target range is To detect the edge by using the Tsu edge detection method.

  In the skin analysis device, an evaluation unit that evaluates the skin of the user of the digital image according to the number of edges or the area of the edges detected by the detection unit, and transmits the analysis image and the evaluation result to the terminal. Further prepare.

  The skin analysis apparatus further includes an analysis result storage unit that stores the past evaluation result for each user, and the evaluation unit acquires the past evaluation result from the analysis result storage unit and transmits the result to the terminal.

  In the skin analysis apparatus, the evaluation unit evaluates the skin of the user of the digital image by comparing with the number of edges or the average area of the edges for each age.

  In the skin analysis apparatus, the evaluation unit transmits product information of a skin care product suitable for the evaluation result to the terminal.

  In the skin analysis apparatus, the evaluation means sends a sample of a skin care product suitable for the evaluation result to a paying member user of the skin analysis apparatus.

A second aspect of the present invention is a skin analysis system including a terminal and a skin analysis device, wherein the terminal captures a camera unit and a face to be photographed with a predetermined size when photographing a user's face. Control means for displaying a frame indicating the size and position of the face so as to be in the position, and transmission means for transmitting a digital image of the user's face captured by the camera means to the skin analysis device. The skin analysis device specifies the analysis target range of the digital image with reference to a predetermined part of the face included in the digital image transmitted from the terminal, and measures the distance between the left and right eyes specifying means for, normalizes the eye distance is enlarged or reduced image size of the digital image to a predetermined length, detecting an edge from said analysis target range, the said edge as a stain or wrinkles E Bei detection means for generating an analysis image set in the digital image, wherein the identifying means identifies a plurality of analysis target range, said detecting means, for each analyzed range, the edge of the said digital image , The edge is detected using the dynamic binarization method for the analysis target range of the stain, and the edge is detected using the edge detection method for the analysis target range of the wrinkle.

  In the skin analysis system, the control unit of the terminal accepts a user's imaging instruction only when a predetermined condition is satisfied.

The third aspect of the present invention is a skin analysis method performed by a computer, wherein the analysis target range of the digital image is specified on the basis of a predetermined part of the face included in the digital image transmitted from the terminal , A specific step of measuring a distance between eyes, and normalizing the digital image by enlarging or reducing the image size so that the distance between eyes becomes a predetermined length, and detecting an edge from the analysis target range performs a detection step of generating an analysis image set in the digital image the edge as stain or wrinkle, said specifying step specifies a plurality of analysis target range, the detecting step, for each analyzed range The edge setting method for the digital image is changed, and the wrinkle analysis target range is detected using a dynamic binarization method for the wrinkle analysis target range. For detecting the edge using the edge detection method.

A fourth aspect of the present invention is a skin analysis program executed by a computer, wherein the analysis target range of the digital image is specified with reference to a predetermined part of the face included in the digital image transmitted from the terminal , and left and right A step of measuring an inter-eye distance between eyes, and enlarging or reducing the image size of the digital image so that the inter-eye distance becomes a predetermined length, and normalizing and detecting edges from the analysis target range and a detection step of generating an analysis image set in the digital image the edge as stain or wrinkles, is execution, said specifying step specifies a plurality of analysis target range, the detecting step is the analysis target range Each time, the edge setting method for the digital image is changed, and the edge analysis target range is detected by using a dynamic binarization method. For the analysis scope detects an edge using an edge detection method.

  According to the present invention, it is possible to provide a skin analysis device, a skin analysis system, a skin analysis method, and a skin analysis program that allow a user to easily check the state of her own spots or wrinkles.

It is a block diagram which shows the structure of the skin analysis system which concerns on embodiment of this invention. It is explanatory drawing for demonstrating the process of a skin analysis system. It is a figure which shows an example of a imaging | photography assistance screen. It is a figure which shows an example of the image which masked the site | part of the face. It is an example of the mask image which shows the analysis object range. It is a figure which shows an example of the analysis result screen of a spot. It is a figure which shows an example of a wrinkle analysis result screen. It is a figure which shows an example of a skin check result screen.

  Hereinafter, embodiments of the present invention will be described.

  FIG. 1 is a diagram showing an overall configuration of a skin analysis system according to an embodiment of the present invention. The illustrated skin analysis system includes a terminal 1 used by a user and a skin analysis device 2, which are connected via a network such as the Internet.

  For example, the terminal 1 may be a mobile terminal such as a smartphone or a tab fret terminal. The illustrated terminal 1 includes a camera unit 11 (camera unit) that captures an image (photograph), a control unit 12 (control unit, transmission unit), a display unit 13, and an analysis result storage unit 14.

  The control unit 12 receives the user's operation, and when the camera unit 11 captures the user's face, the control unit 12 sets the size and position of the face so that the captured face is a predetermined size and a predetermined position. A frame to be displayed is displayed on a display provided in the terminal 1, and a user's imaging instruction is accepted only when a predetermined condition is satisfied. Further, the control unit 12 transmits a digital image of the user's face captured by the camera unit 11 to the skin analysis device 2.

  The display unit 13 displays the skin analysis image, the skin evaluation result, and the like transmitted from the skin analysis device 2 on the display. The analysis result storage unit 14 accumulates history such as skin analysis images and skin evaluation results transmitted from the skin analysis device 2.

  In addition, in the terminal 1, the function of the control part 12, the display part 13, and the analysis result memory | storage part 14 shall be implement | achieved by downloading the application program which the skin analyzer 2 provides.

  Skin analysis device 2 analyzes the skin condition of the user using a digital image transmitted from terminal 1 via the network. The illustrated skin analyzing apparatus 2 includes a part specifying unit 21 (specifying unit), a spot / wrinkle detecting unit 22 (detecting unit, generating unit), an evaluating unit 23 (evaluating unit), and an analysis result storage unit 24 (analysis result). Storage means).

  The part specifying unit 21 specifies the analysis target range in the digital image with reference to a predetermined part of the face included in the digital image transmitted from the terminal 1. In the present embodiment, the part specifying unit 21 specifies a plurality of analysis target ranges.

  The spot / wrinkle detection unit 22 detects an edge from each analysis target range specified by the part specifying unit 21, and generates an analysis image in which the edge is set as a spot or wrinkle in a digital image. In the present embodiment, the spot / wrinkle detection unit 22 changes the edge setting method for setting a spot or wrinkle in the digital image for each analysis target range.

  The evaluation unit 23 evaluates the user's skin according to the number of edges or the area of the edges detected by the stain / wrinkle detection unit 22 and transmits the analysis image and the evaluation result to the terminal 1. Further, the evaluation unit 23 evaluates the user's skin of the digital image in comparison with the number of edges for each age or the average of the edge areas. Further, the evaluation unit 23 acquires past evaluation results from the analysis result storage unit 24 and transmits them to the terminal 1. The analysis result storage unit 24 stores past evaluation results for each user.

  As the terminal 1 and the skin analysis device 2 described above, for example, a general-purpose computer system including a CPU, a memory, an external storage device such as an HDD, an input device, and an output device can be used. In this computer system, each function of each unit is realized by the CPU executing a predetermined program loaded on the memory. For example, each function of the terminal 1 and the skin analysis device 2 is executed by the CPU of the terminal 1 in the case of a program for the terminal 1, and the CPU of the skin analysis device 2 in the case of a program for the skin analysis device 2, respectively. Is realized. Further, the program for the terminal 1 and the program for the skin analysis device 2 can be stored in a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, a DVD-ROM, or distributed via a network. You can also

  Next, the processing of this embodiment will be described.

  FIG. 2 is an explanatory diagram for explaining the skin analysis processing of the present embodiment.

  In this embodiment, in order to use the skin analysis service provided by the skin analysis device 2, the user registers a free or paid member in the skin analysis device 2 in advance and downloads the application program downloaded from the skin analysis device 2 to the terminal. Install to 1.

  Then, the user who has registered as a member operates the terminal 1 to take a picture of his / her face. The camera unit 11 of the terminal 1 receives the user's shooting instruction and takes a picture of the user's face (S11). At the time of shooting, the control unit 12 of the terminal 1 displays a shooting support screen as shown in FIG. On the illustrated imaging support screen, a frame 31 (for example, an ellipse) of a predetermined size is displayed so that the face of the user to be captured is in a predetermined position with an appropriate constant size.

  The user adjusts the distance between the terminal 1 and the subject's own face so that the outline of the face is within this frame. Further, on the illustrated imaging support screen, a center line 32 and an eye position 33 indicating a position where the eyes are to be projected are displayed so that the face is in a certain direction (front). The user adjusts the orientation of the face so that the center of his nose is reflected in the vertical center line 32, and adjusts the orientation of the face so that his / her eyes are reflected in the eye position 33.

  After adjusting the shooting support image, the user inputs a shooting instruction by touching the shutter portion 34 displayed on the shooting support screen, for example. Thereby, the camera unit 11 photographs the user (including a part other than the frame) displayed on the photographing support screen. The control unit 12 performs control so as not to accept the user's shooting instruction (no shutter is provided) when the predetermined condition is not satisfied, and the user's shooting is performed only when the predetermined condition is satisfied. It is good also as controlling to receive an instruction | indication. As the predetermined condition, for example, the size of the face may be a size within a predetermined range.

  When the user's face is photographed, the control unit 12 of the terminal 1 performs such photographing support so that the user's own face photographed by the user using the terminal 1 is made as high quality as possible, and the accuracy of skin analysis is improved. Can be improved. The camera unit 11 automatically performs focus, shake correction, and the like.

  The control unit 12 of the terminal 1 transmits a digital image of the user's face captured by the camera unit 11 to the skin analysis device 2 (S12). The part specifying unit 21 and the spot / wrinkle detection unit 22 of the skin analysis device 2 each receive the digital image transmitted from the terminal 1.

  The part specifying unit 21 detects a face from the received digital image by using, for example, face detection learning data, and applies the detected face to a face model to determine a predetermined part of the face (here, eyes, nose, mouth). Is specified (S13). Note that, for example, Active Shape Models may be used for detecting a facial part. Moreover, the site | part specific part 21 measures the distance between eyes using the position (coordinate etc.) of the specified eyes. The distance between eyes is the distance between the left and right eyes.

  And the site | part specific | specification part 21 discriminate | determines that each specified site | part is other than skin, and is a range not to be analyzed, and masks each said site | part (S14).

  FIG. 4 is a diagram illustrating an example of an image in which each part is masked. For example, for the eye mask, an ellipse is generated using four points on the upper, lower, left and right sides of the eye specified in S13. The mouth mask generates an ellipse, similar to the eye mask. For the nose mask, a polygon connecting points indicating the nose contour specified in S13 is generated. In the present embodiment, the created nasal mask is extended downward and connected to the mouth mask.

  And the site | part specific | specification part 21 specifies the analysis object range of a spot and a wrinkle (S15). In this embodiment, the wrinkle analysis target range generally includes the corner of the eye where wrinkles are likely to occur, the lower part of the eye, and the portion where the fringe line (wrinkles extending from both sides of the nose to both ends of the lips) appears. And As for the stain, the cheek portion where the stain is likely to appear is generally set as the analysis target range.

  FIG. 5 is a diagram showing an example of a mask image showing each analysis target range in an image obtained by masking each part in FIG. For example, for the analysis target range 51 of the eye corner, the analysis target range is determined using the end point of the eye corner specified in S13 and the contour point indicating the contour of the face in the vicinity of the end point. In the example shown in the drawing, an ellipse generated by using the end point of the corner of the eye and the contour point of the face in the vicinity of the end point is set as the analysis target range 51 of the corner of the eye.

  For the analysis target range 52 under the eyes, it is conceivable to generate a polygon using the end points of the eyes specified in S13 and the contour points of the nose and face. For the analysis target range 53 of the fringe line, for example, a polygon including the regions from both sides of the nose to both ends of the lips is generated using the contour points of the face and nose. The blot analysis range 54 generates a polygon that includes the cheek region using the end points of the eye corners, the end points of both ends of the mouth, and the face contour points specified in S13.

  Then, the part specifying unit 21 sends the mask image in which the measured distance between eyes, the mask, and the analysis target range are set to the spot / wrinkle detection unit 22 (S16).

  When the spot / wrinkle detection unit 22 accepts the distance between the eyes, the image size of the digital image of the face received from the terminal 1 in S12 is increased or reduced so that the distance between the eyes becomes a predetermined length. (S17). Similarly, the image size of the mask image received from the part specifying unit 21 in S16 is normalized by being enlarged or reduced so that the distance between eyes becomes a predetermined length. By normalizing the image in this way, the size of the face of the digital image transmitted from the terminal 1 is made constant, and the analysis result of the stain and wrinkle analyzed in the past and the analysis result of the current stain and wrinkle are obtained. You can compare correctly.

  The spot / wrinkle detection unit 22 then superimposes the normalized mask image on the normalized face image, and analyzes the spots / wrinkles in each analysis target range (S18). That is, in the present embodiment, analysis is performed for each of a stain, a wrinkle (eye corner), a wrinkle (under the eye), and a wrinkle (a fringe line).

(1) Spot Analysis The spot / wrinkle detection unit 22 performs a region of the face image excluding the eye, nose, and mouth mask portions from the spot analysis target range 54 specified by the mask image (see FIG. 5). To analyze. In the present embodiment, a dynamic binarization method is used for spot analysis. For example, a face image of a normalized color image is converted into a grayscale image (hereinafter referred to as an original image), and a blurred image obtained by blurring the original image is generated. Then, the pixel value of the corresponding coordinate of the blurred image is subtracted from each pixel value of the original image, a difference image is generated by adding a certain bias value, and a binary image obtained by binarizing the difference image with a certain threshold is obtained. Generate. Then, connected components (edges) in which black dots are connected by a labeling process are detected from the binary image, and narrowed down based on the number of black pixels constituting the detected set of connected components. Here, by using two threshold values, a connected component having too few sunspots and a connected component having too many sunspots are deleted. Then, the number of connected components after narrowing down is counted within the range of the spot analysis target excluding the mask portion. The number of connected components after narrowing down becomes a numerical value of the stain.

  In addition, each connected component after narrowing down is converted into an image format within the above-described range of the spot analysis target and set as a spot on the face image. That is, a stain analysis image is generated in which each connected component (stain) after narrowing down is set and displayed on the face image transmitted in S12.

(2) Wrinkle analysis (eye corner)
The spot / wrinkle detection unit 22 analyzes a region of the face image, which is designated by the mask image, excluding the mask portion from the wrinkle analysis target range 51 of the corner of the eye. In this embodiment, an edge detection method is used for wrinkle analysis. For example, a face image of a normalized color image is converted into a grayscale image (hereinafter referred to as an original image), edge detection is performed on the original image using a predetermined edge detection algorithm, and a binary image is obtained as a detection result. get. Then, a connected component (edge) in which black dots are connected is detected from the binary image by a labeling process, and the set of detected connected components is narrowed down based on the number of black pixels constituting the reference. Here, connected components with too few sunspots are deleted using one threshold. Then, the number of connected components after narrowing down is counted within the wrinkle analysis target range except for the mask portion. The number of connected components after narrowing down is a numerical value of wrinkles (eye corners). Further, each connected component after narrowing down is converted into an image format within the analysis target range, and set as a wrinkle of the corner of the eye in the face image.

(3) Wrinkle analysis (under the eyes)
The spot / wrinkle detection unit 22 analyzes a region of the face image, which is designated by the mask image, excluding the mask portion from the wrinkle analysis target range 52 under the eyes. The wrinkle analysis under the eyes is the same as the analysis of the wrinkles of the corner of the eye in (2), and thus the description thereof is omitted here.

(4) Wrinkle analysis (Horoi Line)
The spot / wrinkle detection unit 22 analyzes a region of the face image, which is designated by the mask image, excluding the mask portion from the fringe wrinkle analysis target range 53. In this embodiment, the face image of the normalized color image is converted into a grayscale image (hereinafter referred to as an original image), and a blurred image is generated by blurring the original image. Then, the pixel value of the corresponding coordinate of the blurred image is subtracted from each pixel value of the original image, a difference image is generated by adding a certain bias value, and a binary image obtained by binarizing the difference image with a certain threshold is obtained. Generate. Then, all black points other than the wrinkle analysis target range 53 (excluding the mask portion) are white-pointed in the binary image, and connected components (edges) in which the black points are connected to the resulting binary image by labeling processing. Detection is performed and the number of black pixels constituting the set of connected components detected is narrowed down as a reference. Here, by using one threshold, connected components having too few sunspots are deleted. Then, the total number of black pixels constituting each connected component after narrowing down is counted within the analysis target range of the convolution line excluding the mask portion. The sum of the number of black pixels of each connected component after the narrowing down (the area of the connected component) is a numerical value of the fringe line. Further, each connected component after narrowing down is converted into an image format within the analysis target range and set as a fringe line in the face image.

  In this embodiment, a wrinkle analysis image in which wrinkles (connected components after narrowing down) analyzed in each analysis target range of (2) to (4) are set and displayed on the face image transmitted in S12 is displayed. Generate.

  In the present embodiment, the connected component (edge) is detected as a spot or wrinkle. However, the present invention is not limited to the above method, and an image in which a spot corresponding to the spot or wrinkle is detected as an edge (characteristic part) is detected. Any method may be used as long as it is a process.

  And the evaluation part 23 evaluates the analysis result of S18, and transmits an evaluation result and the analysis image produced | generated by S18 to the terminal 1 (S19). In the present embodiment described below, the evaluation unit 23 generates an analysis result screen including an evaluation result and an analysis image, and transmits the analysis result screen to the terminal 1, but the terminal that has received the evaluation result and the analysis image 1 may generate an analysis result screen.

  6 to 8 are diagrams showing examples of analysis result screens. FIG. 6 shows a spot analysis result screen, which includes a spot analysis image 61 generated in S18 and a spot evaluation result 62. For the spot analysis image 61, the spot / wrinkle detection unit 22 may generate a spot analysis image 61 in which the detected spot (connected component) is emphasized by a predetermined method. As an emphasis method, for example, the detected spot is displayed in a conspicuous color such as red, or each actually detected connected component is enlarged at a predetermined ratio and displayed as a spot. Further, in order to emphasize the stain, the number of connected components obtained by quantifying the stain in S18 may be displayed on the stain analysis result screen.

  In the spot evaluation result 62, the user's skin is evaluated using the number of spots (connected components) quantified in S18. In the illustrated example, the level of the stain according to the number of stains is shown. The evaluation unit 23 compares the average value of the number of spots of other users of the same age as the user with the number of spots of the user, specifies the level of the user among a plurality of levels, and determines the user's level. Evaluate the skin. In the example shown, there are 5 levels. If the average value is the same as the average value of the same age, the level is the middle level. If it is higher than the average value of the same age, one of the levels on the “BAD (bad)” side depends on the level. If it is less than the average value of the same age, it is set to one of the levels on the “GOOD” side according to the degree.

  In addition, the evaluation part 23 shall memorize | store the average value of the number of spots for every age (for example, teens, 30s, 40s, ...) in the memory | storage part which is not shown in figure. Further, it is assumed that the user registers his / her age or age when registering as a member in the skin analysis apparatus 2. The skin analysis apparatus 2 includes a member information storage unit (not shown), and registers member information such as a user ID and age for each user. In this way, by displaying in comparison with the average value of other users, the user can obtain objective evaluation data of his / her spots in the same age.

  Moreover, it is good also as evaluating a user's skin in the stain evaluation result 62 compared with the analysis result of the said user's past. In the illustrated example, the previous level is displayed with a predetermined mark (Δ). For the previous level, the evaluation unit 23 refers to the analysis result storage unit 24, acquires the previous level of the user, and sets a mark indicating the previous level below the acquired level. Moreover, it is good also as displaying the log | history of the said user's past analysis result screen according to the instruction | indication from a user.

  FIG. 7 shows a wrinkle analysis result screen, which includes a wrinkle analysis image 71 generated for each analysis target range in S18 and a wrinkle evaluation result 72. For the wrinkle analysis image 71, the wrinkle / wrinkle detection unit 22 may display the wrinkles in the detected analysis target ranges (the corners of the eyes, the bottom of the eyes, and the fringe lines) with emphasis by a predetermined method. As an emphasis method, for example, the detected stain may be different for each analysis target range (for example, different colors), and each connected component after actual narrowing is enlarged and displayed at a predetermined ratio. It is possible to do. Further, in order to emphasize wrinkles, the number of connected components or the area of connected components quantified in S18 for each analysis target range may be displayed on the wrinkle analysis result screen.

  The wrinkle evaluation result 72 evaluates the user's skin using the number or area of wrinkles (connected components) quantified in S18 for each analysis target range. In the illustrated example, the level of wrinkles according to the number or area of wrinkles is shown. The wrinkle evaluation result 72 is the same as the wrinkle evaluation result 62 of FIG. 6, and the average value of the number or area of wrinkles of other users of the same age as the user is compared with the user to determine the level of the user. Is also displayed in comparison with the user's past analysis results. Moreover, it is good also as displaying the log | history of the said user's past analysis result screen according to the instruction | indication from a user.

  FIG. 8 is a skin check result screen, which includes a stain / wrinkle evaluation result 81 in which the stain evaluation result 62 in FIG. 6 and the wrinkle evaluation result 72 in FIG. 7 are combined, and a recommended product list 82. The evaluation unit 23 selects at least one product (skin care product or the like) suitable for the evaluation result of spots and wrinkles, and sets product information for each selected product. For example, the skin analysis apparatus 2 includes a product storage unit (not shown) in which corresponding products are stored for each level of wrinkles or for each level of wrinkles, and selects a product corresponding to the level of the spots or wrinkles. The product information of each selected product may be displayed on the skin check result screen. Thereby, the user can easily know a product suitable for his / her skin type, and can increase motivation to repeatedly use the skin analysis service of the skin analysis device 2.

  Moreover, the evaluation part 23 is good also as sending the sample of the at least 1 goods (product displayed on the recommended goods list 82) suitable for the evaluation result of a spot and a wrinkle to a pay member user. Thereby, the user of the paying member can actually use the product suitable for his / her skin type, can feel the effect of the product, and transmits his / her face image to the skin analysis device 2 after using the product. By doing so, the effect of the product can be objectively confirmed.

  The evaluation unit 23 stores the analysis result screen (or the evaluation result and the analysis image) as described above in the analysis result storage unit 24 and transmits the analysis result screen to the terminal 1. Each time each user transmits his / her face image from the terminal 1, the analysis result storage unit 24 accumulates an analysis image and an evaluation result of wrinkles and wrinkles as a history.

  The display unit 13 of the terminal 1 stores each analysis result screen (FIGS. 6 to 8) transmitted from the skin analysis device 2 in the analysis result storage unit 14 and displays it on the display according to a user operation instruction (S20). ). Note that the terminal 1 may receive the evaluation result and the analysis image, store them in the analysis result storage unit 14, and generate an analysis result screen.

  By viewing the analysis result screen, the user can grasp the objective state and evaluation of his / her own spots and wrinkles at the present time. Further, every time the user transmits his / her face image to the skin analysis device 2, the analysis images and evaluation results of the spots and wrinkles transmitted from the skin analysis device 2 are accumulated in the analysis result storage unit 14 of the terminal 1 as a history. By doing so, it is possible to browse the secular change of its own skin condition and to realize the effect of the skin care product.

  The skin analysis device 2 according to the present embodiment described above specifies the analysis target range of the digital image with reference to a predetermined part of the face included in the digital image transmitted from the terminal 1, and detects an edge from the analysis target range. Then, an analysis image in which the edge is set as a digital image with a spot or wrinkle is generated and transmitted to the terminal 1.

  Thereby, in this embodiment, it goes to an esthetic salon or a cosmetic dermatology, measures a spot and a wrinkle with an exclusive apparatus, and a user can easily check the state of his own spot or wrinkle without receiving a diagnosis by an expert. You can check for yourself and get an objective assessment. That is, the user can easily check the objective state of his / her skin condition at his / her favorite timing while staying in a favorite place. In this embodiment, since the user acquires his / her analysis result via the network, the user can know the state of the stain or wrinkle in a short time without being known to anyone.

  In this embodiment, an image of one's own face is captured using the terminal 1 such as a smartphone. However, when capturing, a predetermined condition for displaying a frame indicating the size and position of the face is satisfied. By performing photographing support such as accepting a user's imaging instruction only in such a case, the face photographed by the user himself / herself on the terminal 1 can be made as high-quality images as possible, and the accuracy of skin analysis can be improved.

  Further, in the present embodiment, the distance between eyes is measured when specifying eyes, nose, and mouth, and the face image captured by the terminal 1 is normalized using the distance. As a result, the size of the face of the digital image transmitted from the terminal 1 can be made constant, and the analysis result of the stain and wrinkle analyzed in the past can be appropriately and correctly compared with the analysis result of the current stain and wrinkle. .

  Moreover, in this embodiment, by providing the analysis result memory | storage parts 24 and 14 which memorize | store the past analysis image and an evaluation result, while comparing with a past evaluation result, a user's skin can be evaluated and the secular change of skin can be measured. It is easy to know.

  Moreover, in this embodiment, a user's skin is evaluated compared with the average of the number of edges for every age, or the area of an edge. By evaluating in comparison with the average value of other users, the user can obtain objective evaluation data of his / her skin in the same age.

  In the present embodiment, the product information of the skin care product suitable for the evaluation result is presented to the user. Thereby, the user can easily know a product suitable for his / her skin type, and can increase motivation to repeatedly use the skin analysis service of the skin analysis device 2.

  In this embodiment, a sample of a product suitable for the evaluation result is sent to the paying member user. Thereby, the user of the paying member can actually use the product suitable for his / her skin type, can feel the effect of the product, and transmits his / her face image to the skin analysis device 2 after using the product. By doing so, the effect of the product can be objectively confirmed, and the motivation to repeatedly use the skin analysis service of the skin analysis device 2 can be increased.

  In addition, this invention is not limited to the said embodiment, Many deformation | transformation are possible within the range of the summary.

DESCRIPTION OF SYMBOLS 1: Terminal 11: Camera part 12: Control part 13: Display part 14: Analysis result memory | storage part 2: Skin analysis apparatus 21: Site identification part 22: Blemish / wrinkle detection part 23: Evaluation part 24: Analysis result memory part

Claims (10)

A skin analysis device,
A specifying means for specifying the analysis target range of the digital image on the basis of a predetermined part of the face included in the digital image transmitted from the terminal, and measuring a distance between eyes between the left and right eyes ;
Normalizing the eye distance is enlarged or reduced image size of the digital image to a predetermined length, detecting an edge from said analysis target range was set in the digital image the edge as stain or wrinkles detection means for generating an analysis image, the Bei example,
The specifying means specifies a plurality of analysis target ranges,
The detection means changes the setting method of the edge to the digital image for each analysis target range, detects an edge using a dynamic binarization method for a stain analysis target range, and generates a wrinkle analysis target range. A skin analysis device characterized by detecting edges using an edge detection method . The skin analysis device according to claim 1 ,
Evaluation means for evaluating the skin of the user of the digital image according to the number of edges or the area of the edges detected by the detection means, and transmitting the analysis image and the evaluation result to the terminal. Skin analysis device. A skin analysis device according to claim 2 ,
An analysis result storage means for storing the past evaluation results for each user;
The evaluation means acquires a past evaluation result from the analysis result storage means and transmits it to the terminal. The skin analysis device according to claim 2 or 3 ,
The evaluation means evaluates the user's skin of the digital image in comparison with the number of edges for each age or the average of the areas of the edges. The skin analysis device according to any one of claims 2 to 4 ,
The evaluation means transmits product information of a skin care product suitable for the evaluation result to the terminal. The skin analysis device according to any one of claims 2 to 5 ,
The evaluation means sends a sample of a skin care product suitable for the evaluation result to a paying member user of the skin analysis apparatus. A skin analysis system comprising a terminal and a skin analysis device,
The terminal
Camera means;
Control means for displaying a frame indicating the size and position of the face so that when the user's face is photographed, the face to be photographed has a predetermined size and a predetermined position;
A transmission means for transmitting a digital image of the user's face imaged by the camera means to the skin analysis device;
The skin analysis device
A specifying unit for specifying the analysis target range of the digital image with reference to a predetermined part of the face included in the digital image transmitted from the terminal, and measuring the distance between the left and right eyes ;
Normalizing the eye distance is enlarged or reduced image size of the digital image to a predetermined length, detecting an edge from said analysis target range was set in the digital image the edge as stain or wrinkles detection means for generating an analysis image, the Bei example,
The specifying means specifies a plurality of analysis target ranges,
The detection means changes the setting method of the edge to the digital image for each analysis target range, detects an edge using a dynamic binarization method for a stain analysis target range, and generates a wrinkle analysis target range. A skin analysis system characterized by detecting edges using the edge detection method . The skin analysis system according to claim 7 ,
The skin analysis system characterized in that the control means of the terminal accepts a user's imaging instruction only when a predetermined condition is satisfied. A skin analysis method performed by a computer,
A specifying step of specifying the analysis target range of the digital image on the basis of a predetermined part of the face included in the digital image transmitted from the terminal, and measuring the distance between eyes between the left and right eyes ;
Normalizing the eye distance is enlarged or reduced image size of the digital image to a predetermined length, detecting an edge from said analysis target range was set in the digital image the edge as stain or wrinkles Performing a detection step of generating an analysis image ;
The specifying step specifies a plurality of analysis target ranges,
The detection step changes the setting method of the edge to the digital image for each analysis target range, detects an edge using a dynamic binarization method for the analysis target range of the stain, A skin analysis method characterized by detecting edges using an edge detection method. A skin analysis program executed by a computer,
A specifying step of specifying the analysis target range of the digital image on the basis of a predetermined part of the face included in the digital image transmitted from the terminal, and measuring the distance between eyes between the left and right eyes ;
Normalizing the eye distance is enlarged or reduced image size of the digital image to a predetermined length, detecting an edge from said analysis target range was set in the digital image the edge as stain or wrinkles A detection step for generating an analysis image ; and
The specifying step specifies a plurality of analysis target ranges,
The detection step changes the setting method of the edge to the digital image for each analysis target range, detects an edge using a dynamic binarization method for the analysis target range of the stain, Detect edges using edge detection method
Skin analysis program characterized by

Images