JP4179421B1 - Color diagnostic device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a color diagnostic apparatus capable of proposing a color scheme considering deep psychology and seasonal feeling.
A color diagnostic apparatus using a color database (7), wherein the color database (7) includes a seasonal table that classifies and organizes colors according to seasons, and colors according to psychological effects. A psychological table that is classified and systematized, and analyzes the colors included in the input image based on the color database (7), and outputs information on the season of the colors included in the input image and the psychological efficacy It can be solved by a color diagnostic device.
[Selection] Figure 1

Description

  The present invention relates to a color diagnostic apparatus and the like.

  Japanese Laid-Open Patent Publication No. 2006-331344 (Patent Document 1 below) discloses a color diagnostic method capable of performing color diagnosis of clothing when a Japanese wears clothing in accordance with Japanese traditional aesthetics. .

  The color diagnosis method described in this document analyzes captured head information into RGB. Then, RGB is converted into the HSB color mode, and a predetermined color is added as a recommended color.

  For example, there are various things with the same red color. For example, the colors of “blood color” and “dusk” may be similar in color, but their effects on deep psychology vary greatly. Furthermore, the “color of young shoots” and “color of leaves that withered” may be similar, but the seasonal feelings given to deep psychology differ greatly.

  That is, when the color is changed using only the numerical value index using the hue, since the deep psychology is not taken into consideration, the color as a whole may be incongruent or may give an undesirable impression.

JP 2006-331344 A

  Accordingly, an object of the present invention is to provide a color diagnostic apparatus that can propose a color scheme that takes into account deep psychology and a sense of the season.

  The present invention basically relates to a color diagnostic apparatus using a color database (7). The color database (7) has a seasonal table in which colors are classified and systematized according to seasons, and a psychological table in which colors are classified and systematized according to psychological effects. The color diagnostic apparatus analyzes the colors included in the input image based on the color database (7). Thereby, the color diagnostic apparatus can output the information regarding the season of the color included in the input image and the psychological efficacy. If the information regarding the color season and the psychological effect is inconsistent, the corrected color can be used for analysis again to obtain information regarding the corrected color season and the psychological effect. This makes it possible to propose a color scheme that takes into account deep psychology and seasonal feeling.

  ADVANTAGE OF THE INVENTION According to this invention, the color diagnostic apparatus which can propose the color scheme which considered deep psychology and seasonal feeling can be provided.

  Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings. However, the form described below is an example, and can be appropriately modified within a range obvious to those skilled in the art.

  FIG. 1 is a block diagram showing the basic configuration of the color diagnostic apparatus of the present invention. As shown in FIG. 1, the color diagnostic apparatus (1) of the present invention comprises an image reading means (3), an area dividing means (5), a color database (7), a color matching means (9), Output means (11). The color diagnostic apparatus (1) of the present invention may further include color correction plan calculation means (13). In FIG. 1, reference numeral 4 denotes a computer. The dotted line indicates the inside of the computer (4). The computer has an input / output device, an arithmetic device, a control device, and a storage device, each connected by a bus or the like. As a result, information can be exchanged. A main memory of the storage device stores a computer-readable information recording medium such as a CD-ROM storing a control program. When information is input from the input device, the control unit reads out the control program as appropriate, reads out information stored in the storage device as appropriate, according to the instructions of the control program, and performs calculations in the arithmetic device. Then, the calculation result is appropriately stored in the storage device and output from the output device. In other words, the present invention functions as an apparatus including an image reading means (3), an area dividing means (5), a color database (7), a color matching means (9), and an output means (11). And a computer-readable information recording medium storing such a program.

  The image reading means (3) is a means for reading an image and obtaining an input image. The image reading means (3) is not particularly limited as long as a color image can be acquired. Examples of the image reading means (3) include a color scanner, i1Pro (registered trademark), and a digital camera. The image reading means (3) may be one that can input CAD data into the apparatus. In this case, for example, the means for receiving image data created by Illustrator (registered trademark) or the like functions as the image reading means (3). By doing this, it is possible to check the seasonal feeling of the CAD drawing created by the illustrator.

  The area dividing means (5) is a means for dividing the input image into areas according to colors. When the input image is created by computer graphics, the area dividing means (5) can be implemented by analyzing the image information.

  An example of the area dividing means (5) is to analyze the hue and luminance by sweeping the input image line by line. For example, the input image may be swept line by line, and it may be determined as a separate area when the luminance change is more than a certain level. Further, when the input image is swept line by line and the hue changes greatly, it may be determined as a different area. After the input image is divided into regions, the color for each region is stored. A plurality of pixels included in this area may change in color and brightness due to the influence of light and shadow. For example, an average value of colors and brightness included in the area may be used as the color of the area.

  The color database (7) includes at least a seasonal table in which colors are classified and organized according to seasons, and may further include a psychological table in which colors are classified and organized according to psychological effects. In addition to this, a region table in which colors are classified and systematized according to regions may be included.

  The seasonal table stores a seasonal index and seasonal information in association with an index obtained by quantifying each color by hue. The seasonal index is a numerical value of the season indicated by the color. For example, one year is divided into four, spring, summer, autumn, and winter, which is further divided into six modes, and each mode is divided into five days. Since the season goes around, for example, one year is arranged in a unit circle in the XY space, and each season, each air saving, and each weather are expressed by an angle θ from the origin. For example, θ = 0 is set to be the first day, and colors are classified and systematized based on natural features. Then, for example, the angle is different for each day of the season. And the angle according to the day will be shaken to the color which symbolizes a certain day. For example, the color of the sky on January 10 may be stored with an angle of 10 degrees indicating a sense of the season. In addition, for example, a seasonal index may be provided for each RGB. Moreover, when evaluating a seasonal index, for example, a seasonal index may be placed on a unit circle and the distance may be used for evaluation. In this way, for example, the color indicating December 31 and the color indicating January 2 can be evaluated so as to have a close seasonal feeling. Information such as “spring” may be used as seasonal information.

  FIG. 2 is an example of a season table. In this example, the season is divided into 4 seasons, 24 verses, and 72 weathers. These are seasonal indicators and may be seasonal information. Each color is associated with an ID indicating the color, and an index quantified by LAB, an index quantified by CMYK, and an index quantified by RGB, corresponding to the four seasons, verse 24, and 72. ing. As a result, for example, it is possible to perform an evaluation such that the color indicating autumn is greatly different from the color indicating spring. In other words, when the colors included in the input image are expressed by indices quantified for each region, and the seasons are read out, the regions deviating from the seasonal distribution can be grasped.

  The psychological table stores a psychological index and psychological effect information in association with an index obtained by quantifying each color by hue. The psychological index is a numerical value of the psychological efficacy indicated by the color. For example, by classifying and organizing the meaning of each color based on the characteristics of nature, the meaning of each color based on the word origin of each color, the flower language of the plant, the seasonal word, cultural and historical background, Psychological effect information can be obtained. A psychological index or psychological information may be stored for each hue such as RGB. Psychological indicators can also be several, such as urban or pastoral, passionate or calm, dynamic or static, recommended or contraindicated, associated with early morning or late at night. It may have a numerical value on the coordinates. This psychological table may be provided in the same table as the above-described seasonal table. For example, the psychological index only needs to have a value of −1 to 1.

  The color matching means (9) includes a color digitizing means for digitizing colors included in the respective areas divided by the area dividing means (5), and a numerical value obtained by the color digitizing means. And an index reading means for reading a seasonal index, seasonal information, psychological index, and psychological effect information from the psychological table. That is, the color digitizing means receives the colors included in each divided area and digitizes them according to the hue. This is based on the same algorithm as the digitization of the color stored in each table. Examples of the numerical method include Lab, CMYK, and RGB. A method for digitizing a color using a color or the like in this manner is known. In RGB digitization, for example, in the case of RGB = 1, the digitization may be performed such that x = 1, y = 0, and z = 0. Based on this, further quantification may be performed. As a result, an index value such as Ff1100 shown in FIG. 2 can be obtained. If there is a match between the index values, it may be extracted as a result of color matching. For example, if the index value of RGB analysis is Ff1100, the information that the index value is stored in association with Ff1100 is read from the database to obtain information that the color of this area is the dark blue of color ID 2. it can. If there is no index value that matches, the one having the closest index value is determined, and color information may be extracted using the index value. Note that the psychological effects read in association with Ff 1100 are “dusk”, “lyrical”, and the like. Although not specifically shown, the data base in relation to Ff1100 is -0.5 for passionate (-1) or calm (+1), 0 for dynamic (-1) or static (+1). .4, -0.8 for recommended (-1) or contraindicated (+1), 0.5 for early morning (-1) or late night (+1), etc. are stored. What is necessary is just to read in connection.

  The output means (11) outputs information including season information and psychological effect information about the colors included in each area divided by the area dividing means (5). Specifically, since information including seasonal information and psychological effect information is stored in a buffer or the like, the information is read and output to a monitor or the like.

  Thereby, seasonal information and psychological effect information of colors included in the input image can be displayed.

  Next, since the preferable aspect of this invention contains a color correction plan calculating means (13), this point is demonstrated. The color correction plan calculation means (13) has a distribution calculation means, a color extraction means, and a correction candidate extraction means.

  The distribution calculation means uses either or both of the seasonal index and the psychological index to obtain the distribution of either or both of the seasonal index and the psychological index included in each area divided by the area dividing means (5). For example, if four seasons are required for the color of each region, the distribution of the seasons may be obtained. Of course, you may obtain the distribution situation of the distribution of the psychological index which is dynamic or static among psychological effects. Furthermore, a distribution regarding a plurality of parameters may be obtained.

  The color extraction means uses the distribution obtained by the distribution calculation means to extract out-of-region colors out of the distribution so that the distribution of the seasonal index and the psychological index is within a predetermined threshold. For example, when an area occupying an area of 80% or more has a seasonal index of “spring”, an area having a seasonal index other than “spring” may be extracted. Furthermore, for example, when 70% or more of the areas have a seasonal index of “spring, summer, autumn” and the psychological index of dynamic or static is 0.1 or more and 1 or less, What deviates from these ranges may be extracted. It is well known that a method for finding a common area using a seasonal index, a psychological index, or the like for color partial calculation may be performed based on an appropriately set one. The simplest is a single parameter. For example, in order to find the season occupying the most area by focusing on the season only, the following may be performed. That is, the area of each region is obtained. Then, the season indicated by each area is grasped. Then, for each season, the areas are totaled and the areas are totaled. In this way, it is only necessary to grasp the region showing the most seasons and the other regions.

  The correction candidate extracting means extracts colors whose indices digitized by hues belong to a predetermined range and are included within a predetermined threshold of the distribution for colors that are out of the distribution extracted by the color extracting means. For example, in the above example, an area having a season other than “spring” is extracted. Assume that the color index having a season other than spring is RGB and Ff022. In this case, a color having a numerical color index close to this numerical value is extracted from the database. Then, the seasonal index of the color is read out from the color close to Ff022. As a result, color extraction is performed until “spring” is read as a seasonal index. Then, for example, when Ff0000 is read, the seasonal index of this color is “spring”, and therefore, vermilion that is Ff0000 may be extracted as a correction candidate.

  The index reading means reads at least the season information and the psychological effect information from the season table and the psychological table using the index digitized by the hue of the color extracted by the correction candidate extracting means. Specifically, information such as “spring”, “passion”, and “genki” is read using Ff0000.

  The output means (11) outputs the season information and psychological effect information of the correction candidate. As a result, the seasonal feeling and psychological effects of the correction candidates can be output. When the user who sees the output is satisfied and inputs to that effect, the computer can perform a process of converting the color into a correction candidate color, thereby coordinating harmonious colors.

  The color diagnosis apparatus of the present invention can be used in the field of optical equipment and the like, and can also be used in the field of color coordination.

FIG. 1 is a block diagram showing the basic configuration of the color diagnostic apparatus of the present invention. FIG. 2 is an example of a season table.

Explanation of symbols

1 color diagnostic device; 3 image reading means; 4 computer; 5 area dividing means; 7 color database; 9 color matching means; 11 output means;

Claims (3)

A color diagnostic apparatus using a color database (7),

The color database (7)
A seasonal table that classifies and organizes colors according to the season,
A psychological table that classifies and organizes colors according to psychological efficacy;

Analyzing the colors included in the input image based on the color database (7),
Information on the season of color and psychological efficacy included in the input image can be output.

Color diagnostic device. A color diagnostic apparatus including an image reading means (3), a region dividing means (5), a color database (7), a color matching means (9), and an output means (11),

The image reading means (3) is a means for reading an image and obtaining an input image,

The area dividing means (5) is means for dividing the input image into areas according to colors,

The color database (7) is at least
A seasonal table that classifies and organizes colors according to the season,
A psychological table that classifies and organizes colors according to psychological efficacy;

The seasonal table stores a seasonal index and seasonal information in association with an index in which each color is quantified by hue.
The psychological table stores a psychological index and psychological effect information in association with an index obtained by quantifying each color by hue.

The seasonal index is a numerical value of the season indicated by the color,
The psychological index is a numerical value of the psychological efficacy indicated by the color,

The color matching means (9)
Color digitizing means and index reading means,

The color digitizing means is:
Means for digitizing the colors contained in the respective areas divided by the area dividing means (5);

The index reading means includes
Means for reading out the seasonal index, seasonal information, psychological index and psychological effect information from the seasonal table and the psychological table using the numerical value digitized by the color digitizing means as an index;

The output means (11)
Outputting information including seasonal information and psychological effect information about the colors included in the respective areas divided by the area dividing means (5);

This provides seasonal information and psychological effect information on the colors included in the input image,
Can display information including color candidates that give a certain seasonal feeling and psychological effect, and seasonal information and psychological effect information that the color candidates have,

Color diagnostic device. Furthermore, it has a color correction plan calculation means (13),

The color correction plan calculation means (13)
A distribution calculation means, a color extraction means, and a correction candidate extraction means;

The distribution calculation means includes:
Using either or both of the seasonal index and the psychological index, means for obtaining a distribution of either or both of the seasonal index and the psychological index included in each region divided by the region dividing means (5),

The color extracting means includes
Using the distribution of either or both of the seasonal index and the psychological index obtained by the distribution calculation means, among the colors divided into the regions so that the distribution of the seasonal index and the psychological index is within a predetermined threshold A means of extracting out-of-distribution

The correction candidate extraction means includes
A means for extracting a color whose index is quantified by the hue belongs to a predetermined range and is included within a predetermined threshold of the distribution for a color out of the distribution extracted by the color extraction unit;

The output means (11)
Seasonal information and psychological effect information about colors included in the respective areas divided by the area dividing means (5), colors extracted by the correction candidate extracting means, and colors extracted by the correction candidate extracting means Seasonal information and psychological effects information,
Output information including

The color diagnostic apparatus according to claim 2.

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