JP2002252783A - Color diagnostic processor, color diagnostic processing method, recording medium recorded with color diagnostic program, and the color diagnostic program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a color diagnostic processor that uses colors of bear skin, pupils, hair specific to a model for information possible for making a decision so as to attain color coordination in more detail. SOLUTION: The color diagnostic processor is provided with a color extract means that designates areas of image data of a face of a model and measures an RGB value of colors at one or a plurality of points extracted from each area, a color correction means that adds a correction value in response to a photographing condition to the extracted color RGB value to decide a representative color, a classification means that classifies a base color of the skin of the model into a 1st group and a 2nd group in response to a reply from the model with respect to a questionnaire, and a determination means that determines to which of 1st and 2nd color tone groups classified from the 1st group or of 3rd and 4th color tone groups classified from the 2nd group the RGB value of the representative color by each area decided by the color correction means belongs on the basis of a discrimination table specified by the 1st or 2nd group. The discrimination means diagnoses the color tone group most frequently discriminated among the color tone groups discriminated by each area to be a color tone group most suited to the model.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention detects a representative value of each face portion from a photograph of a face of a photographed model, and based on the determined representative color, a color tone most suitable for the base color of the skin of the model. The present invention relates to a color diagnostic processing apparatus for diagnosing a group, a color diagnostic processing method, a recording medium on which a color diagnostic program is recorded, and a color diagnostic program.

[0002]

2. Description of the Related Art Conventionally, color coordination for finding a color suitable for a person from the skin color of the individual has been performed. In this color coordination, generally, a color coordinator with specialized knowledge and experience applies a color cloth to a model, and a model belongs to any one of a plurality of color groups in which a plurality of color groups are grouped. It is done by diagnosing.

[0005] A method of performing color coordination using an information processing system such as a computer has been proposed. In such a color coordination method, by selecting an answer to an alternative question stored in advance in a computer, a color tone group in which matching colors are grouped is determined and presented. I have to.

[0004]

However, the diagnosis by a color coordinator requires a color coordinator with specialized knowledge and experience, and the place of diagnosis is limited.

[0005] Also, in color coordination using a computer, a model only selects an answer to a question displayed on a monitor and makes a diagnosis based on the answer.
No color diagnosis according to the original skin, pupil, hair color, etc. inherent in the model has been made.

Therefore, the present invention does not require a color coordinator having specialized knowledge and experience, and uses the skin color, pupil and hair color peculiar to a model as a judgment material, and makes it possible to more precisely and quickly execute the above. An object of the present invention is to provide a color diagnostic processing apparatus, a color diagnostic processing method, a recording medium on which a color diagnostic program is recorded, and a color diagnostic program capable of diagnosing a color tone group most suitable for the base color of the skin of a model.

[0007]

In order to solve the above-mentioned problems, a color diagnostic processing apparatus according to the present invention determines a plurality of regions of image data of a model face and extracts the image data from each region. A color extracting unit that measures the RGB values of the selected one or more colors, a color correcting unit that adds a correction value according to a shooting condition to the RGB values of the extracted colors to determine a representative color, Depending on the answer to the question to the model, the base color of the skin of the model is changed to the first group and the second group.
And the RGB values of the representative colors for each area determined by the color correcting means are classified into the first group.
Alternatively, the representative color is classified from the first or second tone group or the third color group classified from the second group in light of a determination table defined for each second group. Or a discriminating means for discriminating to which of the fourth tone groups, the discriminating means determines a tone group most frequently discriminated among the tone groups discriminated for each region by a tone matching the model. Diagnose as a group.

In the color diagnostic method according to the present invention, a step of capturing a captured image of a face of a model, and specifying one or a plurality of parts from the captured face image, Determining a color extraction area according to the area of the area, measuring RGB values of one or more points from the extraction area, and determining whether the RGB value of the extracted area is within a predetermined range. Discriminating and calculating an average value of those within a predetermined range, calculating a bias value from the average value and the measured value, and photographing the measured value closest to the average value when the bias value is within a predetermined standard. A step of determining a representative color for each region by adding a correction value according to a condition, and presenting one or more questions, and in response to the answer of the model to the questions, the base color of the skin of the model is First base color or second base color Determining which of the two colors belongs to the first or second base color by comparing the representative color determined for each of the regions with a determination table defined for each of the determined first or second base colors. Determining whether the color group belongs to the second color group or the third or fourth color group, and diagnosing the color group most frequently determined as the color group most suitable for the base color of the skin of the model. .

Further, a recording medium on which a color diagnostic program according to the present invention is recorded is a recording medium on which a program which can be processed by a computer is recorded. And color extraction means for measuring the RGB values of one or more colors from each area, and among the RGB values of the extracted colors,
Calculate the average value of those within a predetermined range, calculate the bias value from the average value and the measured value, and determine the bias value according to the shooting conditions to the measured value closest to the average value when the bias value is within a predetermined standard. Classification for classifying the base color of the skin of the model into a first base color and a second base color according to the color correction means for determining the representative color by adding the correction value and the answer to the question about the model. Means for determining whether the representative color belongs to the first or second group or the third or fourth group according to the first or second base color; The RGB value of the representative color for each area determined by the color correction means is matched with the base color of the model by referring to the determination table defined for each of the first or second base colors by the determination means. If the color group is the first or 2 groups or the third or fourth
Is recorded for each region, and a program for diagnosing the most frequently determined color tone group as a color tone group suitable for the base color of the model is recorded.

A color diagnostic program according to the present invention is a program that can be processed by a computer. The program is designed to specify a plurality of regions of a face of a photographed model and to extract a plurality of regions from each region. A color extracting means for measuring the RGB values of one or more colors, calculating an average value of the RGB values of the extracted colors within a predetermined range, and calculating a bias value from the average value and the measured value; Is calculated,
When the bias value is within a predetermined standard, a correction value according to the photographing condition is added to the measurement value closest to the average value, and a color correction unit that determines a representative color, and according to an answer to a question to the model, Classifying means for classifying the base color of the skin of the model into a first base color and a second base color; and setting the representative color to the first or second base color according to the first or second base color. Discriminating means for discriminating whether the color belongs to the third group or the third group or the fourth group. The RGB value of the representative color for each area determined by the color correcting means is determined by the discriminating means. Alternatively, in the light of a determination table defined for each second base color, a color tone group that matches the base color of the model indicates any of the first or second group or the third or fourth group in each area. Each time, Many discriminated tone group diagnosing compatible color group based color of the model.

According to the color diagnostic processing apparatus, the color diagnostic method, the recording medium on which the color diagnostic program is recorded, and the color diagnostic program, even when the RGB values of each part are detected from the model photograph and used for determination, In addition, since the correction according to the photographing environment is performed, it is possible to extract the color of the skin, eyes, and hair which the model originally has.

Therefore, the color diagnosis can be performed without being influenced by the photographing environment, as in the case of the photograph photographed under natural light.

[0013]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A color diagnostic system incorporating a color diagnostic processing apparatus to which the present invention is applied will be described below with reference to the drawings. As shown in FIG. 1, the color diagnostic system 1 includes a color diagnostic processing device 2 that performs a color diagnostic process.
A digital camera 3 serving as an image capturing unit and a printer 5 for outputting a diagnosis result are connected. The image captured by the digital camera 3 is captured, color diagnosis is performed, and the diagnosis result is printed by the connected printer 5. I do.

As shown in FIG. 2, the color diagnostic processing device 2 includes a hard disk (hereinafter, also referred to as “HD”) 11 in which a diagnostic program for performing color coordination questions and color diagnosis is stored, and a digital camera 3. And a control unit 12 for extracting the color of each part of the face, correcting the extracted color, and performing color diagnosis, and a correction that is added according to the shooting conditions of the model face A storage unit 13 in which a database such as a determination table for performing values and color diagnosis is stored;
, A random access memory (hereinafter, also referred to as a RAM) 14 for temporarily reading a diagnostic program recorded in the digital camera 3, a determination table stored in the storage unit 13, and the above-described digital camera 3. Interface 15, a drive 16 for reading image data from an IC card 8 or a floppy (registered trademark) disk 9 on which image data of a model face photograph is recorded, and a drive for reading a photographed face photograph and color coordination. It has a monitor 19 for displaying questions and the like and displaying a diagnosis result, and an operation unit 20 as input means such as a keyboard 20a for inputting character data and the like and a mouse 20b for specifying an operation position.

The HD 11 is an operating system (hereinafter also referred to as an OS), a diagnostic program for diagnosing an image in which a face of a model to be color-coordinated is photographed, and a diagnostic program diagnosed by the diagnostic program. A browser for viewing the image, image data of the face of the model to be color-coordinated, and the like are recorded.

The control section 12 is, for example, an MPU and controls the entire color diagnostic processing apparatus 2. Specifically,
The control unit 12 stores the image data read by the communication interface 15 and the drive 16 in the HD 11. The control unit 12 also controls the HD 11 in accordance with the operation of the operation unit 20.
A diagnostic program for diagnosing images of facial photographs, a browser for viewing images diagnosed by this diagnostic program, and image data processed by these programs are stored in RA.
Read to M14. Then, the control unit 12 detects the RGB values of the colors of the color extraction area 25 for extracting the skin color from the read image data, and determines the color tone group of the model from the RAM 14 based on the representative color data and the like subjected to the correction processing. Determine.

The storage unit 13 stores correction values for correcting the RGB values of the pupil, hair, and skin measured from the image data of the face photograph of the model in accordance with the shooting environment, and the model in accordance with the correction value and the question answer. A database such as a determination table for determining a color tone group that is most suitable for is recorded. These correction values and determination tables are stored in the control unit 12 as necessary.
Is read out to the RAM 14 for color diagnosis.

The RAM 14 is controlled by the control unit 12 to store the HD1
The diagnostic program to be executed, which is stored in the digital camera 3, and the image data to be processed, which is directly stored in the digital camera 3, are read into the IC card 8 and the floppy disk 9.

When the communication interface 15 is connected to the interface 38 of the digital camera 3 via a USB or the like, the communication interface 15 receives image data compressed by the digital camera 3 according to the JPEG system or the like. The image data received by the communication interface 15 is stored in the HD 11 by the control unit 12. The image data is JP
In addition to the EG method, a bit map or the like may be used, and the communication interface 15 may be an IEEE1394 or the like in addition to the USB.

The drive 16 has an IC card 8 and a floppy disk 9 mounted thereon. From the IC card 8 or the floppy disk 9 attached to the drive 16, for example, image data of a model face captured and stored by the digital camera 3 is read by the control unit 12. The image data read by the drive 16 is stored in the HD 11 by the control unit 12.

The monitor 19 is composed of a CRT or a liquid crystal display panel, and displays a face viewed from the front of a model subjected to color coordination and a result of the color diagnosis when performing a color diagnosis process, as shown in FIG.

The image data of the model which is connected to the color diagnosis processing device 2 and undergoes color diagnosis is transferred to the color diagnosis processing device 2, and the image data of the model which undergoes color diagnosis is stored in the IC card 8 or the floppy disk 9. Digital camera 3 serving as image capturing means for storing data
As shown in FIG. 4, a CCD (Charge C) that photoelectrically converts light incident from an imaging lens 31 to generate an imaging signal.
Oupled Device) element 32, an A / D converter 34 for converting an image signal into a digital signal, a signal processing unit 35 for performing signal processing corresponding to color coding, and a compression unit 36 for compressing the signal-processed image signal. , A memory 37 for storing the compressed image signal, and an interface 38 for transferring the stored image signal to the color diagnostic processing device 2 or the IC card 8 or the floppy disk 9.

The image pickup signal generated by the CCD element 32 has a primary color (R, G, B) or a complementary color (Ye, C).
The image data is color-coded by a color coding filter (y, Mg), output to an A / D converter 34, converted into digital image data, and output to a signal processing unit 35. The output image data is subjected to a decoding process or the like corresponding to the color coding by the color coding filter of the CCD element 32 to generate luminance information, color difference information, and the like. The decoded image data is, for example, JP
The data is compressed in the EG (Joint Photographic Experts Group) format and output to the memory 37. The image data compressed in the JPEG format is transferred to the color diagnostic processing device 2 or a card type IC card 8 or a floppy disk 9 serving as an external storage device. The digital camera 3 or the printer 5 and the information processing device 2 may be connected by a USB cable, or may be connected by IEEE 1394, wireless communication, or the like.

The image capturing means according to the present invention may be a scanner or the like in addition to the digital camera 3 described above.

The color diagnostic processing apparatus 2 operates as follows when performing the color diagnostic processing. That is, as shown in FIG.
At 0, when the execution icon is clicked by the mouse 20b to execute the diagnostic program, the diagnostic program for color coordination stored in advance in the HD 11 is read into the RAM 14 of the color diagnostic processing device 2 and compressed into the JPEG format. The image data of the face photograph of the model to be subjected to the color diagnosis is read from the floppy disk 9 or the like. Then, in step S101, the control unit 12 specifies the color extraction area 25 such as the skin, the pupil, and the hair shown in FIG. 3 based on the command from the operation unit 20, and in step S102, the image of the specified color extraction area 25 An RGB value is measured from the data, and a correction process for adding a correction value according to the photographing environment to the measured value is performed to determine a representative color.

Next, the control unit 12 proceeds to step S103.
In step S104, a first question item for determining the base color of the skin of the model to be color-coordinated is presented. In step S104, the base color is determined to be either blue base or yellow base based on the answer. In S105, a second question item for determining which of the color groups of summer or winter or the color group of spring or autumn is suitable for each of the determined base colors is presented. Is determined for each answer.

Thereafter, the control section 12 proceeds to step S107.
In the storage unit 1, the RGB values of the representative colors of hair, eyes, and skin are stored.
Of the tone group determined for each question item based on the answer to the second question item and the color tone group determined respectively in light of the determination table stored in the database of No. 3; The color group is determined as an optimal color tone group for the model and presented on the monitor 19.

The color tone group is a list of about 30 colors that match the base color, and this color analysis uses academically established ones.

Hereinafter, the color of the skin, eyes, hair, etc. is extracted and measured from the face photograph of the model to be subjected to color coordination, and the RGB values are corrected according to the photographing environment to thereby obtain the skin and eyes that the model originally has. Means for determining the representative color of the hair will be described along the specific procedure of the color diagnosis shown in FIG.

First, in step S1, an execution screen for executing color diagnosis is displayed on the monitor 19, and the mouse 2
When the execution is input by 0b or the like, an initial screen for color diagnosis is displayed.

Next, in step S2, a file of the image data of the face photograph to be diagnosed is selected, and the selected file is opened. Here, the image data is a file compressed in the JPEG format. Specifically, the control unit 12
Means that the digital camera 3 and the color diagnostic processing device 2
When the digital camera 3 is connected by an SB or the like, the corresponding file is read out from the memory of the digital camera 3 to the RAM 14, and when the IC card 8 or the floppy disk 9 is mounted on the drive 16 of the color diagnostic processing device 2, this IC card 8 or The corresponding file is read from the floppy disk 9 to the RAM 14, and when the corresponding file is stored in the HD 11, the file is read from the HD 11 to the RAM 14. Next, the control unit 12
As shown in (1), an input screen for personal information such as the name and gender of the model to be color-coordinated is displayed on the monitor 19.

When personal information is input from the operation unit 20,
In step S3, the control unit 12 outputs the read image data once recorded in the RAM 14 to the monitor 19, displays an image on the monitor 19, and proceeds to step S4. In this step S3, the image shown in FIG. 3 is displayed on the monitor 19 as shown in FIG.

Then, in step S4, the control unit 1
2 determines a color extraction area 25 for measuring an extraction color serving as a basis of a representative color for performing a color diagnosis of a model from the face photograph. Specifically, as shown in FIG. 3, the color extraction area 25 includes, in the face photograph displayed on the monitor 19, the respective areas of the eyes of both eyes, the hair on the top and both sides of the head, both cheeks, forehead and chin skin. Is designated by clicking with the mouse 20b or the like, it is determined according to the area designated by the control unit 12. That is, the control unit 12 sets the color extraction area 25 on the monitor 19 by the mouse 20 b
Is determined to be a region of radius r dots determined according to the region area of the designated portion from the point designated by clicking.

[0034]

(Equation 1)

For example, when the pupil is designated, the control unit 1
2 is a color extraction area 25 with a radius of 5 to 6 dots from the designated point. When hair and skin are designated, the control unit 12 sets a color extraction area 25 with a radius of 10 dots from the designated point.

Next, in step S5, the control unit 1
2 measures RGB values at a plurality of locations in the determined pupil, hair, and skin color extraction regions 25. The RGB values are measured at, for example, 256 levels from 0 to 255. Note that the classification of the RGB values is not limited to 256 levels. And
In step S6, as shown in the following Expression 2, when the measured RGB value is within a predetermined RGB value threshold, the control unit 12 adopts the measured RGB value as an extraction color, The measured RGB value is a predetermined RGB value
If the measured value is not within the threshold value, the measured value is not adopted as the extraction color, and the color extraction area 25 is specified again, and the RGB of the extraction color
Measure the value.

[0037]

(Equation 2)

The predetermined RGB value threshold value is defined as an RGB value from which colors which human eyes, skin, and hair do not originally have are removed. As a result, the environment when the image of the face of the model is captured, the physical condition of the model, and the like are affected, and color diagnosis is prevented from being performed based on an unnatural color that the model does not originally have. .

Next, in step S7, the control unit 1
2 is a pupil, hair, and skin color extraction area 2 according to the following Equation 3.
When a plurality of extracted colors are measured from 5, the average value Cr of the RGB values of each adopted color is calculated for each RGB.

[0040]

(Equation 3)

The above equation (3) is used to calculate the average value of C _rR (red) among the RGB values of the extracted colors, and the control unit 12 similarly calculates C _rG (green) and C _rG (green). _rB
The average value is calculated for (blue).

Next, in step S8, the control unit 1
2 tests the average value calculated for each of the color extraction regions 25 of the pupil, hair, and skin, and derives an estimated color that is a basis of a representative color representing each color extraction region 25 for performing a color diagnosis. Specifically, the control unit 12 obtains a deviation value from the average value of the measurement values for each of the RGB of the extracted color, and determines whether or not the deviation value is within a predetermined threshold. The bias value indicates how much the measured value of the color extraction region 25 deviates from the average value, and is obtained from the following equation (4).

[0043]

(Equation 4)

That is, the deviation value indicates a deviation from the average value of the measured values in the color extraction area 25 for each measured value.
The measured value is used to determine whether or not it is optimal as an estimated value estimated to represent the extraction region. Then, in step S9, when any of the deviation values of RGB is a predetermined threshold value, for example, 5% or less, that is, when the deviation value is represented by the following expression 5, the detected measurement value is represented by the following expression 6. Assuming that the value qualifies as an estimated value representative of the color extraction region 25, the closest measured value from the average is determined as the estimated color of the extraction region. Further, in step S10, if the deviation value is a predetermined threshold value, for example, 5% or more in any of RGB, any of the measured values are ineligible as an estimated value representing the color extraction region 25. The respective average values of RGB measured from the color extraction area 25 are determined as estimated colors.

[0045]

(Equation 5)

[0046]

(Equation 6)

Next, in step S11, the control unit 12 corrects the estimated color determined in step S9 or step S10 according to the photographing environment in which the face photograph was photographed, and determines whether or not to perform color diagnosis. A representative color is determined. The representative color is determined by adding a correction value which is predetermined and stored in the database of the storage unit 13 to the estimated color. This correction value is added according to the difference in the shooting environment of the face photo, and brings the face photo of the model taken under conditions other than natural light close to the same conditions as when it was taken under natural light. is there. For example,
As shown in FIG. 9, the control unit 12 adds the fluorescent light correction value (blue) to the B value of the estimated color for the image captured under the fluorescent light, and For the image captured in step (1), the incandescent lamp correction values (green) and (blue) are added to the G and B values of the estimated color. Thereby, the control unit 12
An RGB value of a representative color to be subjected to color diagnosis is determined.

The correction value is determined in advance by an empirical rule based on a large number of image correction data, and is stored in the storage unit 13.
Use the numerical values stored in the database. Further, the correction value is not limited to the one shown in FIG. 9 and may be appropriately applied as long as it is a correction value that approximates the same condition as that of an image shot under various environments when shot under natural light.

Thus, regardless of the environment in which the photograph of the face is photographed, color diagnosis can be performed under the same conditions as when photographed under natural light.

Next, first and second questions for determining the base color of the skin of the model to be coordinated and the color tone group suitable for the base color will be described.

The first question is to roughly classify the base color of the skin of the model into two types, a blue base and a yellow base, and to determine which one belongs to the two or four alternative forms. And stored in the database of the storage unit 13 of the color diagnostic processing device 2. The first question relates to the hair quality, the impression of the eyes, the color of the cheeks, the skin after sunburn, the texture of the skin, etc., but is not particularly limited thereto. Includes questions that are referenced to make decisions.

The control unit 1 of the color diagnostic processing device 2
2, in step S12, as shown in FIG.
After reading out the first question from the database of the storage unit 13 and displaying the first question on the monitor 19, in step S13, the skin of the model is blue-based in accordance with the answer to the first question by the operation unit 20. Or yellow base. Specifically, the control unit 12
As shown in FIG. 1, for each item of the first question item divided into genders and composed of five items, a blue base or a yellow base is determined according to the answer, and the base color of whichever is larger is used for the model. Determine base color.

Next, in step S14, as shown in FIG. 12, the control unit 12 determines a color tone group that matches the skin base color determined based on the answer to the first question item. The question 2 is read from the storage unit 13 and displayed on the monitor 19. The second question is to roughly classify the color tone group that matches the base color of the skin of the model into four groups: spring, summer, autumn, and winter, and determine which one belongs to the alternative format answer. And stored in the storage unit 13 of the color diagnostic processing device 2. The second question is related to the impression of the face, the gloss of the hair, the redness of the lips, the preference of the color of the clothes, etc., but is not particularly limited thereto, and is referred to in order to determine the tone group based on an empirical rule. Questions to be included.

Then, in step S15, the control unit 12 compares the answer to the second question item by the operation unit 20 with a judgment table stored in the storage unit 13 in advance. A color group of any of spring, summer, autumn, and winter that best matches the base color of the model is determined. Specifically, as shown in FIG. 13, the control unit 12 displays a second question item consisting of four items for each blue base or yellow base determined by the first question item, and displays a winter question for each item. Alternatively, the color group of summer or spring or autumn is determined.

As described above, the RGB values of the representative colors of hair, eyes, and skin are determined from the image data, and the color tone group is determined for each answer to the second question. The device 2 diagnoses the tone group that best fits the model.

That is, the control unit 12 adjusts the R of the representative color measured from the pupil, hair, and skin color extraction areas 25 and appropriately corrected.
Among the GB values, the representative values of the G value and the B value are determined by comparing the GB values with the eight classification tables shown in FIG. 14, and the representative values are determined based on the base color determined by the first question. The hair and pupil determination tables shown in FIGS. 15A and 16A according to
The color group of winter, summer, or spring or autumn is determined for each of hair, pupil, and skin by referring to the skin determination table shown in FIG.

Then, the control unit 12 has determined the largest number of the tone groups determined from the hair, pupil, and skin colors measured from the image data and the tone group determined from the second questionnaire. The tone group is determined to be a tone group that matches the skin base color of the model.

The first and second questions and the judgment table corresponding to the base color are stored in the database of the storage unit 13, read out to the RAM 14 as needed, and stored in the program file of the diagnostic program. It may be incorporated.

Next, in step S17, the control unit 12 of the color diagnostic processing device 2
The comment on the color coordination based on the determined color tone group and the face photograph of the model captured in the RAM 14 are displayed on the monitor 19 via the browser,
Output from the printer 5 as necessary, and the color diagnosis is completed. After the diagnosis is completed, the image data of the model taken into the RAM 14 is deleted.

According to the color diagnostic processing apparatus 2 described above, a correction value can be added to image data obtained by photographing a face of a model that undergoes color coordination according to the photographing environment. Also underneath, a color diagnosis can be performed based on an image similar to that taken under natural light.

The color diagnostic processing system 1 to which the present invention is applied may be configured so that the color diagnostic processing device 2, the image capturing means, and the printer are incorporated in one housing. Note that the same members as those of the above-described color diagnostic processing apparatus 2 are denoted by the same reference numerals, and the details thereof are omitted.

The color diagnostic processing system 40 is the same as that shown in FIG.
As shown in FIG. 8, the color diagnostic processing device 2, a digital camera 3 serving as image capturing means for capturing an image of a model to be subjected to color diagnosis by the color diagnostic processing device 2 and transmitting image data of the model, and a result of the color diagnosis Output printer 5
And an operation panel 4 serving as an operation surface operated by the model
1 is provided. Then, the color diagnostic processing system 40
Are integrated into a frame body whose entire periphery is covered by a single housing or sheet. And such a color diagnostic processing system 40
Provides additional billing processing means for entertainment facilities, department stores,
Installed in accommodation facilities.

Operation panel 41 operated by model
Is an imaging lens 43 for imaging the upper body of the model, and a display unit 4 on which an image captured by the imaging lens 43 is displayed.
4 and a discharge port 45 for outputting a diagnosis result of the color diagnosis. The imaging lens 43 is arranged at the position of the face of the model to be subjected to color diagnosis, and transmits image data of the face to the color diagnosis processing device 2. The display unit 44 displays an image based on the image data of the model face.
Is constituted by, for example, a touch screen. When the model directly touches the display unit 44, a color diagnosis program is started, and the face color extraction area 25 displayed on the display unit 44 is designated. The outlet 45 from which the result of the color diagnosis is discharged is connected to the printer 5, and the diagnosis result of the color diagnosis processing device 2 displayed on the display unit 44 is printed out.

In the color diagnostic processing system 40, a diagnostic program is started when the model operates the display unit 44 of the operation panel 41. In addition, the color diagnostic processing system 40 requires that the model directly operate the display unit for input of personal information such as name and gender, designation of a face color extraction area, and answers to first and second questions. It is performed by In the color diagnosis processing system 40, since the color diagnosis processing device 2, the image capturing means, and the printer are incorporated in a single housing or a frame whose periphery is covered, the color diagnostic processing system 40 uses the image capturing means. The shooting conditions of the face of the model are specified. Therefore, eyes, hair,
The correction value added to each RGB value measured from each skin region can be a constant value.

By the way, a diagnostic program for performing a color diagnosis based on the above-described image and a browser for viewing an image diagnosed by the diagnostic program are stored and stored in the HD 11, a magnetic disk, a magneto-optical disk, and the like. disk,
It can also be stored and stored in a storage medium such as an optical disk or a semiconductor memory. In this case, the diagnostic program is shown in FIG.
As shown in FIG.
1 and an operation to be started by the operation unit 20 is performed, the control unit 12 transmits the RA from the recording medium via the bus.
Read to M14. The above-described color diagnosis is executed by a diagnosis program read from a recording medium.

The diagnostic program may be installed in the HD 11 from the drive 16 or ROM via a medium such as a magnetic disk, a magneto-optical disk, an optical disk, or a semiconductor memory on which the diagnostic program is recorded. Can also. In addition to installing a diagnostic program in the HD 11 via such a providing medium,
It can also be installed in the HD 11 from the download site wirelessly or by wire through the transmission / reception unit.

Next, a network system 51 using the color diagnostic processing device 2 configured as described above will be described with reference to FIG. The network system 51 includes a server device 52 for storing data of correction values to be added to RGB values according to a color diagnostic program and an imaging environment, and an image capturing unit. A terminal device 53 for transmitting and receiving data and a result of the color diagnosis is provided. The server device 52 and the plurality of terminal devices 53 are connected via a network.

The server device 52 has substantially the same configuration as a normal computer, and includes a storage unit 61 for storing correction value data and the like according to a shooting environment of a model image;
A read-only memory (hereinafter also referred to as ROM) 62 in which a diagnostic program for performing a color diagnosis based on image data transmitted from the terminal device 53 is stored, and a diagnostic program stored in the ROM 62 , A transmission / reception unit 64 for transmitting / receiving data to / from the terminal device 53, and a control unit 65 including an MPU for controlling the whole.

The server device 52 has a ROM 62
The diagnostic program for performing the color diagnosis is once read out from the RAM 63 and executed by the control unit 65 to control the operation of the entire apparatus. In the server device 52, correction value data corresponding to various photographing environments and the like are stored in the storage unit 61. When image data is transmitted from the terminal device 53 via the transmission / reception unit 64, the control unit 65 This storage unit 61
To read out various correction value data and make corrections to the image data.

The terminal device 53 corresponds to the digital camera 3 which is the above-described image capturing means.
The terminal device 53 includes an imaging lens for imaging a face photograph of a model to be subjected to color coordination,
A CCD device for generating an imaging signal, an A / D converter for converting the imaging signal into a digital signal, a signal processing unit for performing signal processing corresponding to color coding, and an image display unit for displaying a model face Personal digital assistant such as a PDA. The terminal device 53 includes a modulation demodulator, a telephone line, a terminal adapter, and an ISDN (Intenet).
grated Services Digital Network) line, CATV (C
able Television) Internet 54 via line
Connected to a provider within. As a result, the terminal device 53 accesses the server device 52 via the Internet 54, transmits image data to be subjected to color diagnosis,
The result of the color diagnosis by the server device 52 can be received.

In the server device 52, the database of the correction value data is corrected based on the image data transmitted from the terminal device 53, and the data of the correction value according to the photographing environment is updated as needed. Therefore, the server device 52 can perform more accurate color diagnosis.

The color diagnostic processing apparatus 1 to which the present invention is applied designates the hair, pupil and skin color extraction area 25 displayed on the monitor 19 by clicking with the mouse 20b, and is constituted by a touch screen. The color extraction area 25 may be designated by tracing the displayed portion with a pen or the like.

[0073]

As described above in detail, according to the color diagnostic processing apparatus, the color diagnostic processing method, the recording medium on which the color diagnostic program is recorded, and the color diagnostic program according to the present invention, a model that receives color coordination is provided. To determine a color group that suits the conditions, the RGB values of the pupil, hair, cheeks and chin skin are determined from an image file such as a JPEG file in which a face photograph transmitted from a digital camera has been photographed. The representative RGB values are determined by adding the corresponding correction values. Therefore, in order to perform correction according to the shooting environment, color diagnosis can be performed based on an image equivalent to that shot under natural light in any shooting environment, and more suitable for the skin color inherent in the model. A color group can be determined.

[Brief description of the drawings]

FIG. 1 is a diagram showing an overall configuration of a color diagnostic system to which the present invention is applied.

FIG. 2 is a block diagram showing an information processing apparatus of the color diagnostic system to which the present invention is applied.

FIG. 3 is a diagram showing a color extraction region of a model face photograph displayed on a monitor.

FIG. 4 is a block diagram illustrating a configuration of a digital camera.

FIG. 5 is a flowchart showing processing steps of the color diagnostic system to which the present invention is applied.

FIG. 6 is a flowchart illustrating steps of a color diagnosis process.

FIG. 7 is a diagram showing a monitor screen for inputting basic information of a model that undergoes color coordination.

FIG. 8 is a diagram showing a monitor screen for displaying image data read into a RAM.

FIG. 9 is a diagram illustrating a relationship between a shooting environment of model image data and a correction value.

FIG. 10 is a diagram showing a monitor screen on which a first question item for determining a skin base color of a model to be subjected to color coordination is displayed.

FIG. 11 is a diagram showing a first question for determining a skin base color of a model to be subjected to color coordination.

FIG. 12 is a diagram showing a monitor screen on which a second question as a basis for determining a color tone group that matches a determined base color is displayed.

FIG. 13 is a diagram illustrating a second question item for determining a tone group that matches the base color.

FIG. 14 is a diagram showing data for converting RGB values of a representative color determined from image data of a model into representative values.

FIG. 15 is a diagram showing a database for determining a model tone group based on the representative values of the RGB values.

FIG. 16 is a diagram showing a database for determining a model tone group based on the representative values of the RGB values.

FIG. 17 is a diagram illustrating a monitor screen on which a diagnosis result of the color diagnosis is displayed.

FIG. 18 is a diagram showing a color diagnostic processing system incorporated in one housing.

FIG. 19 is a diagram illustrating a network system using a color diagnostic processing device.

[Explanation of symbols]

1 color diagnostic system, 2 color diagnostic processor, 3
Digital camera, 5 printer, 8 IC card, 9
Floppy disk, 10 diagnostic program, 11
HD, 12 control unit, 13 storage unit, 14 RAM, 1
5 Communication interface, 16 drives, 19
Monitor, 20 operation unit, 21 ROM, 25 color extraction area, 51 network system, 52 server device,
53 terminal device, 54 Internet, 61 storage unit, 62 ROM, 63 RAM, 64 transmitting / receiving unit, 6
5 Control part

 ──────────────────────────────────────────────────続 き Continued on the front page F term (reference) 5B057 AA07 BA11 BA24 CA01 CB01 CC03 CE17 CH07 CH12 DA08 DA16 DB06 5C077 LL17 MM03 MP08 PP32 PP37 PP46 PQ22 PQ23 SS06 TT09 5C079 HA15 HB01 LA02 LA10 LB01 MA04 FA32

Claims (11)

[Claims] 1. A color extracting means for determining a plurality of regions of image data of a face of a model, and measuring RGB values of one or more colors extracted from each of the regions; A color correction unit that determines a representative color by adding a correction value according to a photographing condition to the RGB value; and, in response to a question to the model, changes a skin base color of the model into a first group; Classification means for classifying into two groups, and R of the representative color for each area determined by the color correction means.
The first or second tone group or the second group in which the representative color is classified from the first group by comparing the GB value with a determination table defined for each of the first and second groups. And a discriminating means for discriminating which of the third or fourth color tone group is classified from the above, wherein the discriminating means is a color tone group most frequently determined among the color tone groups determined for each region. A color diagnostic processing device for diagnosing a color tone group most suitable for the above model. 2. The color correction means calculates an average value of RGB values of the extracted color which are within a predetermined range, calculates a bias value from the average value and the measured value, and calculates the bias value. 2. The color diagnostic processing apparatus according to claim 1, wherein when the value is within a predetermined standard, a representative color is determined by adding a correction value according to the photographing condition to a measured value closest to the average value. 3. The discriminating means further presents a second question item to the model, and responds to the second question item in response to the first or second color tone group or the third or third color tone group. For each question item, it is determined whether the color belongs to any of the fourth color tone groups, and the RGB value of the representative color is lit against the determination table, and the color tone group determined for each region and the second question item are determined. 2. The color diagnostic processing apparatus according to claim 1, wherein the color tone group determined most frequently among the color tone groups determined in (1) is diagnosed as the color tone group most suitable for the base color of the model. 4. The photographed face area includes a pupil, a hair,
The color diagnostic processing apparatus according to claim 1, wherein the color diagnostic processing apparatus is one or more of a forehead, a chin, and both cheeks. 5. The photographed face area is determined according to the area of a face extraction part.
A color diagnostic processing apparatus as described in the above. 6. The measurement value extracted from the extraction area is adopted when the deviation value from the average value is 5% or less, and is not adopted when the deviation value from the average value exceeds 5%. The color diagnostic processing apparatus according to claim 1, wherein 7. An image capturing means is further connected, wherein said color extracting means specifies an area of a face from the image data captured by said image capturing means and measures RGB values. Item 2. A color diagnostic processing apparatus according to Item 1. 8. The color diagnostic processing apparatus according to claim 1, further comprising a printer connected to print a result of the color diagnosis. 9. A step of capturing image data of a face of a model, designating one or a plurality of parts from the captured image data of the face, and determining a color extraction area according to the area of the specified part. Measuring the RGB values of one or more colors from the color extraction area; determining whether the RGB values of the extracted area are within a predetermined range; After calculating the average value of those in, the bias value is calculated from the average value and the measured value, and when the bias value is within a predetermined standard, the correction value according to the shooting condition is set to the measured value closest to the average value. In addition, a step of determining a representative color for each region, presenting one or a plurality of questions, and changing the base color of the skin of the model to the first group or the second group according to the answer of the model to the questions Which of the groups belong to And comparing the representative colors determined for each of the regions with the determination table defined for each of the determined first or second groups, and classifying the representative colors from the first group. It is determined whether the color group belongs to the first or second color group or the third or fourth color group classified from the second group. A color diagnostic processing method comprising the steps of: 10. A recording medium on which a program which can be processed by a computer is recorded, wherein the program designates a plurality of areas of model face image data and extracts one or more points extracted from each area. Color extraction means for measuring the RGB value of the point color; color correction means for determining a representative color by adding a correction value according to the photographing condition to the RGB value of the extracted color; In response to the answer, a classifying unit that classifies the base color of the skin of the model into a first group and a second group, and a representative color R of each region determined by the color correcting unit.
The first or second tone group or the second group in which the representative color is classified from the first group by comparing the GB value with a determination table defined for each of the first and second groups. And a discriminating means for discriminating which of the third or fourth color tone group is classified from the above, wherein the discriminating means is a color tone group most frequently determined among the color tone groups determined for each region. On which a program for diagnosing a color group most suitable for the model is recorded. 11. A program which can be processed by a computer, wherein the program designates a plurality of regions of image data of a model face, and extracts RGB values of one or more colors extracted from each region. Color correction means for determining a representative color by adding a correction value corresponding to the photographing condition to the RGB value of the extracted color; and Classifying means for classifying the base color of the skin of the model into a first group and a second group; R of the representative color for each area determined by the color correcting means;
The first or second tone group or the second group in which the representative color is classified from the first group by comparing the GB value with a determination table defined for each of the first and second groups. And a discriminating means for discriminating which of the third or fourth color tone group is classified from the above, wherein the discriminating means is a color tone group most frequently determined among the color tone groups determined for each region. Is a program that diagnoses as a color group most suitable for the above model.