JP2009289066A - Position specification method and color specification method and id creation method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a new method for specifying the position of an object such as a two-dimensional bar code even when any distortion is generated, and to provide a method for calibrating the color of the object. <P>SOLUTION: The reference of a position relation is set by using the predetermined position reference cells (A, B, C) of a color array automatic recognition code 10, so that it is possible to precisely achieve the reading of a color bar code 12. Reference coordinates are searched from a distance Xab or the like between the position reference cells (A, B, C). Then, it is possible to search the position relation of each cell (colored region) configuring the color bar code 12 from the position relation of the reference coordinates (xy coordinates) and the color bar code 12. Also, it is possible to easily specify the position of the two-dimensional bar code by using the automatic recognition code based on the array of colors. Also, it is possible to achieve the calibration of the color of each cell configuring the two-dimensional bar code by using the specific cell in the automatic recognition code based on the array of the colors as the reference cell of the color. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a technique for accurately knowing a color or a color difference.

  In particular, the present invention relates to a technique for expressing predetermined data using a plurality of colors, a technique for converting a plurality of (many) colors into data, and the like.

  Specifically, it relates to a technique for reading an automatic recognition code using a color (especially a chromatic color) and a technique for identifying this using a color attached to an article in order to identify the article (also called an object). . The present invention also relates to a basic technique used for a method of inputting a reference value, a calibration method, and the like in order to control colors to be displayed and colors to be attached to an article.

  Thus, the present invention relates to a technique for recognizing colors and a technique for recognizing color differences.

  Conventionally, various methods have been proposed as methods for digitizing colors. As a typical example, for example, a method of obtaining a numerical value by detecting light of a color with a photoelectric sensor using a color filter and digitizing the signal is widely known in the world. . Even in a so-called CCD camera or the like, data is digitized (digitized) by recognizing colors using color filters such as RGB and CMY and digitizing them.

  Now, the color is originally due to the wavelength of light, and strictly speaking, the spectral distribution of electromagnetic waves may be discussed.

  However, numerical values obtained by digitizing RGB signals and the like calculated from signals obtained through filters of respective colors that fit the sense of eyes are simpler and more intuitive than spectral discussions. For example, a color camera recognizes a color from the intensity of light of each of three primary colors such as RGB and CMY.

Prior art ・ Calibration Now, with these methods, color has been digitized and recognized in the past, but these values can be easily detected, but their absolute values are increased by illumination, etc. Because it depends, calibration was always necessary. That is, the relative difference is easy to recognize, but a certain reference value is necessary to recognize the absolute value, and so-called calibration is necessary.

・ White balance On the other hand, video cameras and digital cameras using CCDs have recently become widespread. In these cases, the white balance is left to the user's sense, or the achromatic color level is determined from the sum of the hues of the entire scene. In other words, the auto white balance function is used to adjust the colors so that there is no sense of incongruity. However, since the average white balance is only calculated based on the prediction that it will be white on average, it is difficult to recognize the color as an absolute value. That is, it has been difficult in principle to obtain a color accuracy that is more than a certain level as a whole.

  Normally, it will be common to use standard charts prior to digitizing colors. That is, the standard chart is inserted into the screen to be digitized, and a plurality of standard colors are designated. Thus, so-called calibration and calibration are performed.

  However, such an operation has complicated the operation and, on the other hand, has complicated the software program. Furthermore, depending on the intended use, it can be considered that these complicated operations may be a major obstacle to practical use.

Explanation of Terms The automatic recognition code based on the color arrangement is a kind of so-called optical recognition code. Some terms related to the optical recognition code will be explained.

Code symbol:
A specific optical recognition code, which represents predetermined data, and a group of figures / graphic figures are particularly called “code symbols”. Or, it may be simply called “symbol”. Further, for convenience, the “code symbol” itself may be called a “tag”. However, the tag basically refers to a medium attached to an article (an article to be marked). For example, price tags, product tags, and the like.

Object to be stamped:
An article / object to which a code symbol of an optical recognition code is given is called a “marked object”.

marking:
The operation of assigning each code symbol of the optical recognition code to the object to be marked is called “marking”. In addition to the process of “printing” the code symbol directly on the object to be marked, the operation of applying an “adhesive seal” with the code symbol and the operation of “hanging” the tag with the code symbol are “marking”. It corresponds to a preferable example of “. In particular, when the article to be stamped is a product or product to be sold, a tag with a code symbol corresponds to “price tag”, “product brand tag”, and the like. It is common practice to attach a code symbol to such a “price tag” and attach it to a “product”. In recent years, plastic wires are often used for this attachment. Such “attachment” is also a suitable example of the above “marking”.

Marking color:
One or more colors used for the code symbol are called “marking colors”. The marking color is also called “signal color”.

Medium:
The means / material used when marking the object is called “medium”. Specifically, it corresponds to ink used for marking, a price tag to be applied to an object to be marked, a product tag, and the like. For example, “ink” for direct printing is an example of the medium. “Product tag” and “price tag” in the case of “hanging” a product tag with a code symbol are also examples of the medium. The above-mentioned adhesive seal corresponds to a suitable example of this “medium”.

Quiat Zone:
A region other than the marking color and a region other than the code symbol boundary and the code symbol is called a “quiat zone”.

Conventional Prior Patent Technologies Here, several conventional prior patent technologies will be described.

  For example, Patent Document 1 below describes a color barcode. In particular, a technology for reading a color barcode that accurately detects the color used even when color mixing is used is disclosed.

  Patent Document 2 below discloses a technique for inspecting mounting of electronic components using a color code or a barcode.

  Patent Document 3 below discloses a technique for controlling an actuator for displaying a color barcode.

  Patent Document 4 below discloses a color barcode and a color barcode reader. In particular, a technique for configuring a color barcode reader at low cost is disclosed.

  Patent Document 5 below discloses a technique related to color display of a two-dimensional barcode.

  Patent Document 6 below discloses a two-dimensional color barcode.

JP-A-5-174204 JP-A-4-304230 Japanese Patent Laid-open No. Hei 6-19312 JP-A-8-96097 JP 2004-102782 A JP 2007-323632 A

  As described above, since the conventional color digitization method can only perform relative recognition, calibration and calibration are necessary, and complicated processing is required.

  The present invention has been made in view of such problems, and an object thereof is to provide a marking capable of easily performing color calibration and a novel algorithm / method for calibration using the same. .

  Since these inventions can be used as a standard for the dimensional relationship of marking, this point will be mentioned later.

  Another object of the present invention is to provide a new position specifying method using an automatic recognition code based on a color arrangement in order to easily specify the position of an object (for example, a two-dimensional barcode). .

  (1) In order to solve the above-described problem, the present invention uses an automatic recognition code based on a color arrangement that represents data by any one of a color arrangement, order, and combination arranged in the vicinity of an object. In the method for specifying the position of an object, the automatic recognition code based on the color array and the object are imaged to obtain image data, and the automatic recognition code based on the color array is cut out from the image data; And determining the position of the object with reference to the position of the automatic recognition code based on the cut out color arrangement.

  (2) Further, according to the present invention, in the position specifying method described in (1) above, the automatic recognition code based on the color arrangement includes a position reference cell serving as a position reference, and based on the position reference cell. The position specifying method is characterized in that the position of the object is obtained.

  (3) Further, the present invention provides the position specifying method according to the above (2), in which a coordinate system is determined based on the position reference cell, and a predetermined position is set as the position of the object on the determined coordinate system. It is a position specifying method characterized by determining that there is.

  (4) Further, the present invention provides the position specifying method according to any one of (1) to (3) above, wherein the object is a one-dimensional barcode, a two-dimensional barcode, or another automatic recognition code. The position specifying method is characterized in that any one of the above.

  Any object generally called a barcode can be used as an object of the present invention. In addition to black and white, colors (chromatic colors) may be added.

  (5) Moreover, in the position specifying method according to any one of (1) to (3), the object is any one of a code that represents a function using a photograph, a subject, and a color. A location specifying method characterized by

  (6) Moreover, in order to solve the said subject, this invention uses the automatic recognition code by the color arrangement | sequence which represents data by the arrangement | sequence, order, or combination of a color arrange | positioned in the vicinity of the target object. In the method for specifying the color of the object, the step of imaging the automatic recognition code based on the color array and the target object to obtain image data, and the step of cutting out the automatic recognition code based on the color array from the image data, And a step of obtaining a color included in the object on the basis of the color in the automatic recognition code based on the cut-out color arrangement.

  (7) Further, in the color specifying method according to the above (6), the present invention includes a color reference cell serving as a color reference in the automatic recognition code based on the color arrangement, and the color of the color reference cell. The color specifying method is characterized in that the color of the object is obtained based on the above.

  (8) Further, in the color specifying method according to the above (7), the color reference cell is a predetermined color, and the predetermined color is the color of the color reference cell in the imaging data. A color difference is detected by detecting a difference from the detected color, and subtracting the difference from the color in the object using the detected difference to detect an actual color in the object. It is a specific method.

  (9) Further, the present invention provides the color identification method according to (8), wherein a plurality of automatic recognition codes based on the color arrangement are provided in the vicinity of the object, and the automatic recognition code based on the cut out color arrangement is read. The color specifying method includes a step of calculating a correction value based on the result, and a step of correcting a color included in the object by the correction value.

  (10) In the color specifying method according to the above (9), the present invention is characterized in that the automatic recognition code based on the plurality of color arrays is an automatic recognition code based on a color array deflected with respect to a predetermined parameter. This is the color identification method.

  Deflection means that a predetermined parameter has been shifted. If the parameter is a hue, it means that the hue has been shifted by a predetermined amount (also referred to as being rotated). In addition, the luminance means that the luminance is increased or decreased by a predetermined amount. If it is saturation, it means that the saturation is increased or the saturation is decreased.

  (11) Further, in the color specifying method according to the above (10), the present invention is characterized in that the predetermined parameter is one or more parameters of hue, brightness, and saturation. This is the color identification method.

  (12) Further, the present invention provides the color identification method according to (9), wherein the automatic recognition codes based on the plurality of color arrays represent different data.

  (13) Further, in the color specifying method according to any one of the above (6) to (12), the object may be obtained by using a one-dimensional barcode, a two-dimensional barcode, or another color. The color specifying method is characterized in that it is one of codes representing the color.

  Any object generally referred to as a barcode can be the object of the present invention. Not only colors (chromatic colors) but also white and black barcodes may be used. Even in black and white, calibration may be required.

  (14) In the color specifying method according to any one of (6) to (12), the object may be any one of a code representing a function using a photograph, a subject, and a color. It is a color specifying method characterized by the above.

  (15) Further, in order to solve the above-described problem, the present invention uses an automatic recognition code based on a color arrangement that represents data by any of color arrangement, order, and combination arranged in the vicinity of an object. In the method for specifying the color of the object, the step of imaging the automatic recognition code based on the color array and the target object to obtain image data, and the step of cutting out the automatic recognition code based on the color array from the image data, Determining a position for detecting a color in the object with reference to a position of an automatic recognition code based on the extracted color arrangement; reading a color from the determined position in the image data; Obtaining the color read from the object on the basis of the color in the automatic recognition code by the color arrangement; and A color identification method according to claim Mukoto.

  (16) In the color specifying method according to (15), the automatic recognition code based on the color arrangement includes a position reference cell serving as a position reference, and the present invention is based on the position reference cell. The color specifying method is characterized in that a position for detecting a color in the object is obtained.

  (17) Further, in the color specifying method according to the above (15) or (16), the present invention includes a color reference cell serving as a color reference in the automatic recognition code based on the color arrangement. A color specifying method characterized in that the color of the object is obtained based on the color of a color reference cell.

  (18) Moreover, the present invention provides the color specifying method according to any one of (15) to (19) above, wherein the object is a harness that bundles a plurality of lead wires each having a different color depending on a function. The color specifying method is characterized in that the color of the bundled lead wires is obtained.

  (19) Further, in order to solve the above-described problem, the present invention uses an automatic recognition code based on a color arrangement that represents data by any one of the arrangement, order, and combination of colors arranged in the vicinity of an object. In the method for creating the ID of the object, the step of imaging the automatic recognition code based on the color array and the target object to obtain image data, and the step of cutting out the automatic recognition code based on the color array from the image data, Determining a position for detecting a color in the object with reference to a position of an automatic recognition code based on the extracted color arrangement; reading a color from the determined position in the image data; Obtaining the color read from the object on the basis of the color in the automatic recognition code by the color arrangement; A step of data the color obtained, an ID generating method, which comprises a.

  (20) Further, according to the present invention, in the ID creating method according to (19), the automatic recognition code based on the color arrangement includes a position reference cell serving as a position reference, and based on the position reference cell. The ID creating method is characterized in that a position for detecting a color in the object is obtained.

  (21) Further, in the ID creation method according to the above (19) or (20), the present invention includes a color reference cell serving as a color reference in the automatic recognition code based on the color arrangement. An ID creation method characterized in that the color of the object is obtained based on the color of a color reference cell.

  (22) Further, the present invention provides the ID creation method according to any one of (19) to (21) above, wherein the object is a black-and-white photograph or a color photograph. Is the method.

  (23) In order to solve the above problems, the present invention provides the position identification method according to any one of (1) to (5), wherein the automatic recognition code is arranged inside the object. It is the position specifying method characterized by having it.

  (24) Moreover, the present invention is the position specifying method according to any one of (1) to (3) above, wherein the object is a code representing a function using color, The position specifying method has an unused area not used as the code, and the automatic recognition code is arranged in the unused area inside the object.

  (25) Further, in the color identification method according to any one of (1) to (5), the present invention provides a position identification method in which a plurality of the automatic recognition codes are arranged. It is.

  (26) Further, the present invention is the position specifying method according to the above (25), wherein the automatic recognition code is arranged in the vicinity of a corner of the object.

  (27) Further, the present invention provides the color specifying method according to any one of (6) to (14) above, wherein the automatic recognition code is arranged inside the object. This is the color identification method.

  (28) Further, the present invention provides the color specifying method according to any one of (6) to (12) above, wherein the object is a code representing a function using a color, The color specifying method has an unused area that is not used as the code, and the automatic recognition code is arranged in the unused area inside the object.

  (29) Further, the present invention provides the color identification method according to any one of (6) to (8) above, wherein a plurality of the automatic recognition codes are arranged. It is.

  (30) Further, the present invention is the color identification method according to the above (29), wherein the automatic recognition code is arranged in the vicinity of a corner of the object.

  As described above, according to the present invention, the automatic recognition code based on the color arrangement can be used for specifying the position and specifying the color. In other words, the position reference and the color reference can be efficiently provided, for example, reading of other optical codes can be performed more accurately, and for example, reading of optical codes with other colors can be performed. Can be performed accurately even if the environment changes.

  Furthermore, according to the present invention, it is possible to easily calibrate the color of a photograph or the like, and to easily create an ID from a photograph or the like.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

First Use of “Automatic Recognition Code Based on Color Arrangement” First, the feature of this embodiment is that the automatic recognition code based on the color arrangement is used for calibration of a color barcode or the like.

  The "automatic recognition code based on color arrangement" described here refers to the following optical automatic recognition code that has already been filed by the inventors of this patent.

1D color bit code Japanese Patent Application No. 2006-196548 1.5D color bit code Japanese Patent Application No. 2006-196705 These automatic recognition codes represent data in at least one of color arrangement, order, combination, etc.・ The cord has no special provision for shape.

  Therefore, since the data can be restored if the order and arrangement of colors can be grasped, it has a feature that the degree of freedom of shape is very high.

  In addition, as a feature of the automatic recognition code based on this color arrangement, it is possible to construct a code that is not restricted in shape by using only a small number (three colors) of color and easily read it.

  Although the number of colors to be used is not specifically limited, it is preferable to use about three colors in consideration of reading accuracy and the like because the application range is wide. In particular, it also has the following characteristics.

  Since the code is cut out and decoded using image processing technology, the position of the read mark (symbol) in the image can be grasped.

  -Since only 3 colors are used, the allowable range of colors can be used widely, and it is possible to follow and respond to variations in color due to lighting, camera specifications, etc.

  In the present embodiment, a case where such three colors are used will be described as an example. Therefore, particularly in the present embodiment, the above-described features are provided. By using an automatic recognition code based on a color arrangement having such characteristics, the following advantages can be obtained.

  ・ You can freely select the color you want to use for calibration.

  ・ Even when a shape distortion correction or a reference point is required, it can be freely placed where it is needed.

  ・ You can easily read this code.

  Hereinafter, a method for specifying the position of an object or specifying a color (calibration) using an automatic recognition code based on a color arrangement, and other methods will be described.

Application to the second color barcode As an application example of the automatic recognition code based on the color arrangement, an application example to the color barcode will be described.

  FIG. 1 shows an example in which an automatic recognition code 10 based on a color arrangement is applied to a color barcode 12. In FIG. 1, an “automatic recognition code 10 based on color arrangement” is attached around the color barcode 12.

  In this way, by providing the automatic recognition code 10 based on the color arrangement around the color barcode 12, it is possible to easily cut out the code and provide various information such as calibration information.

  First, in FIG. 1, the color barcode 12 adopts the appearance of a two-dimensional barcode in which multiple colors are arranged in a general grid pattern. Here, a description will be given using the color barcode 12 that increases the amount of data by using multiple colors.

  Note that the color barcode is described in Patent Document 1, Patent Document 3, Patent Document 4, and the like. The two-dimensional barcode and the two-dimensional color barcode are described in Patent Document 5 and Patent Document 6 described above.

  In general, such a color barcode 12 is generally added with a “cutout mark” having a specific shape in a part of the color barcode 12 in order to cut it out (find the existence, grasp the position and shape). For example, a two-dimensional bar code that is configured so as to attach “turn” character marks to three of the four corners is widely known. Using this “times” character mark as a mark, the position is grasped, and a two-dimensional barcode is cut out and read out.

  What is characteristic in the present embodiment is that “automatic recognition code 10 by color arrangement” is used as the cutout mark.

  The automatic recognition code 10 based on the color arrangement expresses data only with the color arrangement, and there is no particular limitation on the shape.

  For this reason, the inventors of the present application have developed and put into practical use a technology for detecting the position of the automatic recognition code 10 based on this color arrangement only by arranging the colors and cutting it out. The contents of specific techniques are already described in the various patent applications described above.

  In this way, by using the automatic recognition code based on the color arrangement, there is no shape dependence, and it is possible to cut out only with the color arrangement, so it is possible to cut out more easily than the conventional shape-dependent cutout. is there.

  In particular, as long as the arrangement of colors is not destroyed, any shape can be used, so there is little shape dependence, so it can be “attached” to any color barcode 12 and the position of the color barcode 12 can be easily detected. can do. In conventional two-dimensional barcodes and the like, it was necessary to accurately provide a cutout mark at a predetermined position. However, according to the present embodiment, the degree of freedom in shape is high, so it is necessary to increase the accuracy of shape. Therefore, there is little possibility of limiting the position / orientation of the color barcode 12. This means that the burden on the attached product or article does not increase.

  In particular, in a conventional two-dimensional barcode or the like, since a certain and accurate shape is required, it is necessary to “vacate” a part of the surface of the article for the two-dimensional barcode. According to the form, since the shape is flexible, the burden on the article side does not increase, but rather the degree of freedom of attachment increases, so the possibility that the burden is greatly reduced is high.

  In the example shown in FIG. 1, reading is generally performed as follows.

  (1) The automatic recognition code 10 based on the color arrangement is cut out. By this processing, the position, shape, etc. of the automatic recognition code 10 based on the color arrangement are grasped.

  (2) Check cells A, B, and C. The cells A, B, and C are previously determined and provided in the automatic recognition code 10 based on the color arrangement, and serve as reference positions.

  (3) The xy coordinate axes that are reference coordinates are calculated from the distances between the cells A, B, and C. The color barcode 12 is read based on the xy coordinate axes.

  (4) The cell position of the color barcode 12 is grasped based on the obtained xy coordinates, and the position of each cell of the color barcode 12 is calculated.

  (5) Check cells I, II, and III (see FIG. 1). The cells I, II, and III are previously determined and provided in the automatic recognition code 10 based on the color arrangement, and serve as reference colors.

  (6) The color of each cell in the color barcode 12 is read based on the reference color read from the cells I, II, and III.

  Thus, the “position reference” and “color reference” are obtained from the automatic recognition code 10 based on the color arrangement, and the color barcode 12 is read based on this reference.

  The automatic recognition code 10 is cut out by the color arrangement by dividing and classifying the image data obtained by imaging and tracking the area, thereby detecting a group of areas where predetermined colors are continuous. Done. For example, in the case of an automatic recognition code based on a color arrangement using three colors of R, G, and B, the color area of R, G, and B is traced, and a certain number of area groups are arranged in a line. The automatic recognition code based on the color arrangement is recognized (cut out) by processing such as treating it as an automatic recognition code based on the color arrangement.

  There are other methods for extracting an automatic recognition code by color arrangement, but for details, see Japanese Patent Application No. 2006-196548 (1D color bit code) and Japanese Patent Application No. 2006-196705 (1.5D color bit code). I want to be. In any case, the shape is not limited, and the data is represented only by the arrangement of colors, so any shape can be used as long as the arrangement of colors can be grasped.

  Now, the clipping and decoding of the color barcode 10 using the “automatic recognition code 10 based on color arrangement” and various other processes will be described in more detail.

・ Position and shape:
In the present embodiment (FIG. 1), the reference of the positional relationship can be set using predetermined cells (A, B, C) of “color array automatic recognition code 10”. Therefore, the color barcode 12 can be read with high accuracy. In general, since the position of each cell of the conventional color barcode 12 is strictly determined, it is important to accurately determine the position reference. These cells A, B, and C are called position reference cells.

  When it is necessary to obtain the position with higher accuracy, it is preferable to increase the number of position reference cells serving as position reference points. For this purpose, the position arrangement and length of the “automatic recognition code 10 based on color arrangement” can be freely changed. As described above, the automatic recognition code 10 based on the color arrangement is important only in the arrangement and arrangement of the colors, and the size and shape of each cell (area to which the color is added) are basically free. is there.

  In FIG. 1, A, B, and C are used as positioning cells, that is, position reference cells, and reference coordinates are obtained from a distance xab between them (see FIG. 1). Then, from the positional relationship between the reference coordinates (xy coordinates) and the color barcode 12, the positional relationship between each cell (colored region) constituting the color barcode 12 can be determined. The cells of the color barcode 12 are rectangular in FIG. 1, but other various shapes are known to be adopted.

·color:
In the “automatic recognition code based on color arrangement” described above, for example, the typical number of colors used (referred to as cell constituent colors) is three. For example, red, blue, green, etc.

  However, although there are three colors, the range of one color is generally very wide. The ink etc. of the printing apparatus are also slightly different, and the colors obtained by the environment such as illumination, the imaging means used, etc. will change greatly. Therefore, even if it is simply “red”, the range is quite wide. Therefore, it is necessary to define the range by some means.

  First, it is important to decide the color that will be the reference for each range.

  Therefore, a total of three types of reference colors are given for each color range (for example, one color for each of R, G, and B). This is easy for those skilled in the art. Furthermore, if two reference colors are further selected from the range of each color, it is considered that the color calibration can be performed with higher accuracy.

  Such an example is shown in FIG. In FIG. 2 (1), a color circle (Munsell's hue circle) is shown. In the red (R) region, three reference colors R1, R2, and R3 are set. Similarly, it is shown that three reference colors G1, G2, and G3 are set in the green (G) region. Also, it is shown that three reference colors B1, B2, and B3 are set in the blue (B) region.

  In the present embodiment, three reference colors are selected for each color range as described above.

  In FIG. 1, cells I, II, and III are color reference cells that provide this reference color.

  The color reference cells I, II, and III are clearly given a relationship with each color of the color barcode 12 in advance. That is, the color reference cells I, II, and III can be used as color correction for each cell of the color barcode 12.

  For example, with respect to “red” of the color barcode, the color reference cell I is “red slightly from blue”, and the color reference cell II is “red”, which is the same as the color barcode. The color reference cell III is determined as “red slightly from green”.

  More specifically, the color correction value is obtained from the color value (usually independent RGB values) of the image obtained by capturing the color reference cell. Since the color of these color reference cells is determined in advance, a correction value can be obtained by comparing the detected value with this true color. Accordingly, the correct color value of each cell in the color barcode 12 can be obtained by correcting the color value of the image of the color barcode 12 using this correction value.

  In the example of FIG. 1, an example of the color barcode 12 which is a two-dimensional barcode is shown. However, a one-dimensional barcode may be used, and what is generally called a barcode or other various optical recognition codes can be used. . Further, although an example of color (chromatic color) is shown, a black and white barcode may be used. This is because luminance calibration may be necessary even for black and white.

Use of a plurality of “automatic recognition codes by color arrangement” It is also preferable to prepare a pattern cell in which several colors such as hue and saturation are unevenly distributed. This unevenly distributed pattern cell can be provided in place of the color reference cell or in addition to the color reference cell. Then, by reading this pattern cell, it is possible to obtain a large number of criteria regarding not only colors but also various other parameters.

  The pattern cell includes a color reference cell and refers to an “automatic recognition code based on a color arrangement” provided for use as a color reference.

  Examples of various parameters are described below.

  FIG. 2 shows an example in which a plurality of “color arrangement automatic recognition codes 10” having different hues are prepared. In particular, FIG. 2 (2) shows an example in which an automatic recognition code 10 having three color arrangements is used. The reference colors used by the automatic recognition code 10 having three color arrangements are slightly different from each other.

  That is, as shown in FIG. 2B, the automatic recognition code 10 based on the color arrangement using the R1G1B1 reference color is a code symbol indicating a value of x. The automatic recognition code 10 based on the color arrangement using the R2G2B2 reference color is a code symbol indicating a value y. Further, the automatic recognition code 10 based on the color arrangement using the R3G3B3 reference color is a code symbol indicating a value z. The automatic recognition code 10 having such three kinds of color arrangements is prepared.

  Each of the reference colors employed is shown on the hue circle in FIG.

  The automatic recognition code 10 based on the three color arrangements is set so that, for example, all three can be read in a standard state. Here, the standard state means “standard” assumed by the shooting environment such as the setting of the light source and the camera.

  On the other hand, for example, in an environment in which the illumination is biased in any direction such as bluish, a predetermined color in which any one of the plurality of “color arrangement automatic recognition codes 10” can be read is captured. A situation may occur in which reading is impossible as a result of exceeding the range.

  At this time, if the color data of each cell of the color barcode 12 is to be viewed one by one, the position needs to be detected again from the image, and the process tends to be complicated.

  Therefore, in the present embodiment, as described above, the data (x, y, z) represented by the plurality of (here, three) “color array automatic recognition codes 10” are made different. The bias in the reading environment is detected depending on which data has been read normally.

  As described above, in the present embodiment, since the data represented by each code is different, it is possible to recognize whether the color is readable or unreadable by simply reading the data. . In other words, by referring to the data represented by the automatic recognition code 10 based on the read color arrangement, based on which color arrangement the automatic recognition code 10 can be read (or which color arrangement the automatic recognition code could not be read), You can know the shooting environment such as brightness, white balance, and hue shift.

Image Correction In addition, if the captured image is corrected based on such bias in the shooting environment parameters, a bias-corrected image can be obtained, and a better image can be obtained. The code 12 can be read more easily.

  Of course, it is also suitable not only to correct the obtained image, but also to directly feed back such a bias in the parameters of the shooting environment to the imaging means or the like. In this way, imaging with corrected bias can be performed, and subsequent processing such as image correction becomes unnecessary, and a good image can be acquired more easily. As a result, the color barcode 12 can be read more easily.

  In FIG. 2, a method for detecting a case where a shift (bias) occurs in the hue direction has been described. However, in addition to the hue direction, a shift (bias) in the saturation and lightness directions, or a combined shift ( This method is also effective against (bias).

  FIG. 3 (1) shows an inverted triangular pyramid representing the HSV color space. The circumferential direction of the triangular pyramid is hue (Hue), the radial direction is saturation (Saturation), and the vertical axis is brightness (Value). In FIG. 3A, a partial cross-sectional view of the G hue is shown in FIG. Each hue in the “cross-sectional view” of FIG. 3B has the same hue as G (green), but the saturation and brightness change within the plane of the cross-sectional view. Therefore, as shown in FIG. 3 (2), it is conceivable that G1, G2, and G3 are selected, and an automatic recognition code based on a plurality of color arrangements is configured and attached to the object. If such an automatic recognition code with a plurality of color arrangements is used, as in the case of the hue shift (bias) described above, it is possible to deal with the bias / displacement in the saturation and lightness directions, and the combined bias combining these. However, it can be detected and corrected / corrected.

Third application to color photographs (to obtain ID values specific to color photographs)
FIG. 4 shows an explanatory diagram of an example in which the automatic recognition code 10 based on the color arrangement is applied to data of a general color (or black and white) pattern such as a color photograph 14.

  In many cases, a unique ID is calculated from data such as a color photograph. A unique value for photographic data is often used for purposes such as checking the authenticity of a photo, whether or not it has been modified, or simply checking whether it is a predetermined work.

  Here, an example of using the “color arrangement automatic recognition code 10” when obtaining an ID value from such a color photograph will be described.

  Here, a “color array automatic recognition code 10” is provided around the color photograph 14, and the automatic recognition code 10 based on this color array is used to (1) dimension reference, (2) data collection specifications from the color pattern, An example in which is given will be described.

-Dimension standard The dimension standard is the same concept as the position standard mentioned above. A reference coordinate is defined, and a predetermined portion of the color photograph is sampled based on the coordinate.

Data collection specifications Based on the cells at a predetermined position of the automatic recognition code 10 based on the color arrangement, it is possible to know which coordinate cell in the color photograph 14 is to be sampled (read). This inspection is executed by a program on the computer that has received the image data.

  In this embodiment, an image is read by a device that can input an image such as a CCD camera or a video camera as digital data. The read image data is input to the computer, and a predetermined program recognizes the automatic recognition code 10 based on the color arrangement, and based on the content, knows which position in the color photograph 14 is the color pattern to be read. be able to. At this time, coordinates (for example, xy coordinates) are determined based on the dimension standard, and the position of the color pattern to be acquired is determined based on the data collection specification.

  In this way, the position where the color pattern exists (α, β, γ in FIG. 4) is designated according to the data collection specifications, and color data at that position (and a predetermined range) is collected in the specified order. It is.

  For example, in FIG. 4, the cells A, B, and C of the automatic recognition code 10 based on the color arrangement are dimension reference cells that give a dimension reference. The dimensions and coordinates are determined by this cell. In FIG. 4, cells I, II, and III of the automatic recognition code 10 based on the color arrangement are collection specification cells that give data collection specifications, and which range in which position in the color photograph 14 is a color pattern. To express. In short, the collection specification cell is a cell that informs the position / range of the color pattern.

  When the position / range of the color pattern is known in this way, the portion is extracted from the image data, and the ID is obtained by a predetermined calculation method. This operation is performed by a program on the computer based on the image data.

  In the present embodiment, the color value collected from the color pattern is calibrated in comparison with the reference color of the “automatic recognition code based on color arrangement”, so that a constant value is always obtained regardless of the shooting conditions. be able to.

  If this color value is converted into data, an ID unique to this photograph can be obtained.

  As the color photograph 14 representing such an ID, a person's face photograph or the like is often used. In this case, even when the same face photograph is used, the data (that is, ID) to be returned differs depending on the contents of the “automatic recognition code 10 based on color arrangement” provided around the face photograph and the position thereof.

  Therefore, different IDs can be used in individual applications while using the same photograph. That is, it is possible to further enhance information security while ensuring convenience.

  Various methods can be considered for converting the color into data. For example, it is also preferable to obtain an ID by performing a predetermined calculation based on the RGB values, and it is also preferable to convert the ID into luminance, hue, and saturation before converting it to ID. Such a conversion may be any mapping as long as it is a mapping from the space of values that the color can take to the space of the ID to be obtained.

Others Although a photograph has been described as an example here, any object that requires calibration can be applied.

  For example, many objects that require color calibration, such as predetermined designs, advertisements, posters, and character designs, are known as objects, and are applicable to them.

  Further, from the viewpoint of operation, it is possible to perform the same processing not only in the “photographing” but also in the “copying” operation by the copying apparatus.

Fourth application to photography and copying (automatic calibration)
FIG. 5 is an explanatory diagram for explaining an example in which an automatic recognition code based on color arrangement is applied in the field of photography. As shown in this figure, by mixing the “color arrangement automatic recognition code 10” into a part of the subject, the “color arrangement automatic recognition code 10” is automatically read and automatically colorized at the stage of image processing. Can be calibrated.

Conventionally, in photography, a standard color chart called a test chart or a color chart has been widely copied simultaneously with a subject for the purpose of color calibration or the like. Then, it is considered that the color of the original subject can be accurately reproduced by performing image processing so that the standard color in the obtained image becomes a correct color.

  When this conventional calibration method is adopted, in order to recognize the test chart from the completed image, a human has visually searched to confirm the color. Alternatively, in order to perform mechanically, it is necessary to devise such as arranging a specific marking for indicating the presence of the color chart around the color chart.

  In either case, since the test chart (color chart) itself does not have data, it is necessary to perform some processing on the read result and feed it back to the camera or the like. Conventionally, the work is manually performed by humans, or color correction is performed by instructing a computer or the like how many colors each person has.

  As described above, the conventional color calibration is very complicated and time-consuming.

  On the other hand, in the present embodiment, for example, the principle and method as shown in FIG. 2 are adopted, the automatic recognition code 110 based on the color arrangement is photographed together with the subject 20, and the decoding software is obtained from the obtained image data. It is possible to detect a change in hue or the like using.

  The correct color can be reproduced by feeding back the detected hue change or the like to a camera or the like.

  A specific flow of data and processing will be described with reference to FIG.

  First, as shown in FIG. 4, when the subject 20 is photographed, the automatic recognition code 110 based on the color arrangement is arranged in the vicinity of the subject 20 as in the conventional color chart and photographed by the imaging means 22. .

  The photographed image data is sent to the computer 24, and a final image is obtained through general image processing. The image obtained in this way is subjected to processing such as printing or saving on a predetermined medium. In addition, the content may be displayed on a display (not shown) of the computer 24 for viewing. The general image processing here may not be performed if the image data is good.

  What is characteristic in the present embodiment is that not only the image data sent to the computer 24 is a target of general image processing but also a target of decoding of the decoding program of the automatic recognition code 110 by the color arrangement. It is that you are.

  The decoding program cuts out the automatic recognition code 110 based on the color arrangement from the image data and reads out the value using the technology disclosed by the applicant of the present invention in another patent application.

  Since the automatic recognition code 110 based on the color arrangement shown in FIG. 5 includes various code symbols whose hue, brightness, and saturation are changed as in FIG. 2, depending on which value has been read, You can know changes in brightness, saturation, and so on.

  As described above, in the present embodiment, means for calculating a change in the hue or the like from the value output by the decoding program is also provided. This means is typically a program that operates on the computer 24 in the same manner as the decoding program, and calculates a correction value from a value that allows the automatic recognition code 110 to be read by the color arrangement. Such a calculation is a correction value that cancels a change in hue or the like, and has been conventionally performed using a color chart, a color pattern, or the like. Therefore, it is easy for those skilled in the art to create a program for calculating such a correction value.

  Now, it is obvious that a good photographing result can be obtained by correcting the image data using the correction value calculated in this way. Therefore, this correction value is supplied to the above-described general image processing means, that is, a program operating on the computer 24. This program corrects the image data based on the correction value and obtains a good result. . Such a program for image processing is a well-known program.

  The correction value is also preferably sent to the imaging means 22. Based on this correction value, the image pickup means adjusts the hue, exposure value, white balance, saturation, and the like for shooting. Since such a camera device capable of adjusting shooting parameters is widely known, such a conventional camera device may be used as the imaging means 22. The imaging unit 22 may be a still image imaging unit or a moving image imaging unit, that is, a video camera.

Others Here, an example applied to the case of “photographing” has been described, but it is also easy to apply other than “photographing”, for example, in a copying operation in a copying apparatus. There are many cases where color calibration is required in color copying or the like.

Application to Fifth Color Discrimination Further, the automatic recognition code based on the color arrangement is also preferably applied to confirmation of a harness in which the lead wires 30 of various colors are bundled (confirmation of the order of attachment of the lead wires). An illustration of such an example is shown in FIG. In the example shown in FIG. 6, the lead wires 30 are distinguished by color, and the harness 32 is used to bundle them.

  Here, the case where the automatic recognition code 34 by color arrangement is attached to the harness 32 will be described (see FIG. 6).

  First, in the example of FIG. 6, the color itself can be calibrated using the automatic recognition code 34 based on the color arrangement, as in the example described so far. Thereby, each lead wire 30 can be identified with high accuracy.

  Furthermore, in the example of FIG. 6, the position where the lead wire 30 to be confirmed can be confirmed can also be automatically determined. Specific processing of this determination method will be described below. The basic principle is the same as that described above.

  First, in FIG. 6, the automatic recognition code 34 based on the color arrangement is attached to a certain position on the harness 32. And the lead wire 30 is bundled using this harness 32 (refer FIG. 6).

  Next, this is imaged using predetermined imaging means 36. The automatic recognition code 34 based on the color arrangement is recognized from the obtained image data (see FIG. 6) and cut out. As a result, since the position of the automatic recognition code 34 can be recognized based on the color arrangement when it is cut out, it is possible to grasp the position 38 where the color is read with reference to this. The specific processing is the same as the example shown in FIG.

  In particular, in the example of FIG. 6, the position of each cell of the automatic recognition code 34 based on the color arrangement is configured to correspond one-to-one with the position of each lead wire. Therefore, the automatic recognition code 34 based on the color arrangement is recognized, and the arrangement of the cells is detected. As a result, the direction in which the alignment extends can be determined as, for example, the coordinate x. The coordinate x and the vertical direction can be determined as the coordinate y direction.

  In particular, in the example of FIG. 6, a range moved by a predetermined distance in the y-coordinate direction from the position of the automatic recognition code 34 based on the color arrangement is set as a reading range 38 (see FIG. 6).

  In this way, it is possible to clearly indicate which position the color should be read by the automatic recognition code 34 based on the color arrangement.

  In the example of FIG. 6, since the position / orientation of the harness 32 is known, it is possible to detect the position where the lead wires 30 are bundled based on the position / orientation. Such a position / orientation is obtained from the direction of arrangement of the cells included in the automatic recognition code 34 based on the color arrangement, the position of each detected cell, and the like.

  And the range which should read a color is calculated | required with the method mentioned above.

  Finally, it is possible to easily know what kind of lead wire 30 is bundled in the harness 32 by reading the color at the obtained position.

  The color reading range 38 is preferably set to a position as close to the harness 30 as possible, preferably to a position adjacent to the harness 30 in consideration of bending of the lead wire.

  As described above, the automatic recognition code 34 based on the color arrangement expresses the data in the order and arrangement of the colors, so that the resistance to the change of the shape is very high. That is, even if the object is rotated or tilted, it can be easily recognized.

  In this example (5th: application to color discrimination) by applying such characteristics of the automatic recognition code 34 based on the color arrangement, the automatic recognition code 34 based on the color arrangement is attached to an object such as a part or product. However, it was possible to perform processing for discriminating the color of the object and the permutation of the color.

  In order to be able to do this, the positional relationship between the object (for example, the harness 34) and the automatic recognition code 34 based on the color arrangement needs to be a predetermined positional relationship. In order to obtain a predetermined positional relationship, it is also preferable to attach an automatic recognition code by color arrangement directly to the object, and it is also preferable to attach it simultaneously with the painting of the object.

  Further, when the automatic recognition code 34 based on the color arrangement is attached via a medium such as a predetermined seal, a mark for positioning is attached on the object so that the position of the seal can be easily identified. Is also suitable.

Summary The example described here is an example in which the “position” at which the color of the lead wire 30 is detected is specified, and color calibration at the time of detection is also performed.

  Here, the lead wire 30 representing the function by color is described as an example, but the color plays an important role such as representing the function, and its detection position and color calibration at the time of detection are necessary. It can be applied in any case.

6 Modification 1 of FIG.
In FIG. 1 described above, an example in which the automatic recognition code 10 based on the color arrangement is arranged near the color barcode 12, for example, around it. Then, it has been described that the position of the color barcode 12 and the color of the cells in the color barcode 12 are calibrated by the automatic recognition code 10 based on the color arrangement.

  However, for example, an automatic recognition code 10 based on a color arrangement may be provided inside the color barcode 12. In short, any positional relationship is acceptable as long as the positional relationship between the automatic recognition code 10 based on the color arrangement and the corresponding color barcode 12 is clearly defined.

  Such an example is shown in FIG. In the example shown in FIG. 7, an example in which a color bit code 200 is used as the automatic recognition code based on the color arrangement is shown. The color bit code 200 has a configuration in which cells that are color regions are arranged in a line, and the color bit code 200 is detected by tracking the cells that are in a line. Done. Similar to the automatic recognition code 10 based on other color arrangements, the data is represented only by the arrangement of colors, etc., so that the degree of freedom in form is large, and it may be curved or linear. The color bit code 200 has been developed by the inventors of the present application under the name “1D color bit code” (Japanese Patent Application No. 2006-196548).

  Now, what is characteristic in FIG. 7 is that the color bit code 200 is arranged inside the two-dimensional matrix code 202.

  This two-dimensional matrix code is a so-called conventional two-dimensional barcode and has an unused area inside.

  7 is characterized in that the color bit code 200 is provided in the region 202a inside such a two-dimensional matrix code 202. FIG. A so-called quiet zone color (Q) is used for the region 202a. The quiet zone color is a color that is not used as a constituent color of the color bit code 200, and is used to indicate a partition or a boundary. For example, achromatic colors such as white, black, and gray are preferably used, but other colors may be used.

  According to such a configuration, since the color bit code 200 can be arranged inside the two-dimensional matrix code 202, the integrity of the two-dimensional matrix code 202 and the color bit code 200 can be further ensured, and the optical As an area to be prepared for the expression recognition code, only the two-dimensional matrix code 202 needs to be prepared, which has an advantage of easy handling.

  Of course, as in FIG. 1, the position of the two-dimensional matrix code 202 can also be specified in FIG. 7, and the color of the cells in the two-dimensional matrix code 202 can be calibrated.

Fig. 7 Variation 2 of Fig. 1
Further, as a modification of FIG. 1, FIG. 8 shows an example in which a plurality of automatic recognition codes 10 by color arrangement are used.

  In the example shown in FIG. 8, an example in which color bit codes 210a, 210b, and 210c are used as the automatic recognition code based on the color arrangement is shown.

  The color bit code 210 is also an optical recognition code similar to the color bit code 200 of FIG.

  Now, what is characteristic in FIG. 8 is that three color bit codes 210 a, 210 b and 210 c are arranged around the two-dimensional matrix code 212. This two-dimensional matrix code is a so-called conventional two-dimensional barcode. Here, an example is shown in which cell constituent colors including chromatic colors are assigned to each cell, but a classic two-dimensional barcode consisting of white and black may be used. Further, it may be a one-dimensional bar code, and any object generally called a bar code can be used. Needless to say, various optical recognition codes can also be used.

  By arranging the color bit codes 210a, 210b and 210c in the vicinity of the corners around the two-dimensional matrix code 212, the positions of the corners of the color bit code 212 can be specified more accurately. Is possible.

  In the example of FIG. 1, the automatic recognition code 10 based on one color arrangement is used. However, by using a plurality of automatic recognition codes 10 between the color arrangement and the two-dimensional barcode that is the target for specifying the position. It is possible to improve resistance to fluctuations in the positional relationship. That is, in FIG. 8, since the color bit code 210a is arranged in the vicinity of the corner (corner), even if the position of the corner fluctuates independently, it can be dealt with.

  In the example of FIG. 8, the color bit code 210 is arranged at the three corners. However, if the color bit code 210 is arranged at the four corners, the position can be specified more accurately, and the tolerance to the fluctuation of the position can be improved. . In the example of FIG. 8, an example of three color bit codes 210 is shown. However, improvement in resistance can be expected even with two, and in the case of four or more, the position of the two-dimensional barcode is more accurately specified. Is possible.

  Of course, as in FIG. 1, not only the position of the two-dimensional matrix code 212 but also the calibration of the color of the cells in the two-dimensional matrix code 212 can be performed in FIG.

It is explanatory drawing which shows the example which applied the automatic recognition code by a color arrangement | sequence to the color barcode. It is explanatory drawing which shows the example which gives three types of reference colors for every range of each color, and also selects a reference color by 2 colors from the range of each color. It is the figure which took out the partial cross section of the reverse triangular pyramid showing HSV color space, and the hue of G (green). It is explanatory drawing of the example which applied the automatic recognition code | cord | chord by a color arrangement | sequence to the data-ization of common color (it is also acceptable black-and-white), such as a color photograph. In the field of photography, it is explanatory drawing which shows the example of the calibration which applied the automatic recognition code by a color arrangement | sequence. It is explanatory drawing at the time of applying the automatic recognition code by a color arrangement | sequence to the confirmation (confirmation of the attachment order of a lead wire) of the harness which bundled each lead wire of various colors. It is explanatory drawing which shows the example which has arrange | positioned the color bit code inside the two-dimensional matrix code. It is explanatory drawing which shows the example by which three color bit codes are arrange | positioned around the two-dimensional matrix code.

Explanation of symbols

I, II, III Color reference cells A, B, C Position reference cells 10 Automatic recognition code by color arrangement 12 Color barcode 14 Color photograph 20 Subject 22 Imaging means 24 Computer 30 Lead wire 32 Harness 34 Automatic recognition code by color arrangement 36 Imaging means 38 Color reading range 110 Automatic recognition code by color arrangement 202 Two-dimensional matrix code 200 Color bit code 210a, 210b, 210c Color bit code 212 Two-dimensional matrix code

Claims (30)

In the method of identifying the position of the object using an automatic recognition code based on a color arrangement that represents data by any of the arrangement, order, and combination of colors arranged in the vicinity of the object,
Imaging an automatic recognition code by the color arrangement and the object to obtain image data;
Cutting out an automatic recognition code by the color arrangement from the image data;
Obtaining the position of the object on the basis of the position of the automatic recognition code by the cut out color arrangement; and
The position specifying method characterized by including. The position specifying method according to claim 1,
An automatic recognition code based on the color arrangement includes a position reference cell serving as a position reference, and the position of the object is obtained based on the position reference cell. The position specifying method according to claim 2,
Based on the position reference cell, a coordinate system is defined,
A position specifying method, wherein a predetermined position is determined as the position of the object on the determined coordinate system. In the position specifying method according to any one of claims 1 to 3,
The position identifying method, wherein the object is one of a one-dimensional barcode, a two-dimensional barcode, and another automatic recognition code. In the position specifying method according to any one of claims 1 to 3,
The position specifying method, wherein the object is any one of a photograph, a subject, and a code representing a function using color. In the method of specifying the color of the object using an automatic recognition code based on a color array that represents data by any of the arrangement, order, and combination of colors arranged in the vicinity of the object,
Imaging an automatic recognition code by the color arrangement and the object to obtain image data;
Cutting out an automatic recognition code by the color arrangement from the image data;
Obtaining a color included in the object based on the color in the automatic recognition code by the cut out color arrangement; and
A color specifying method characterized by comprising: The color identification method according to claim 6,
An automatic recognition code based on the color arrangement includes a color reference cell as a color reference, and the color of the object is obtained based on the color of the color reference cell. The color specifying method according to claim 7,
The color reference cell is a predetermined color, and detects a difference between the color of the color reference cell in the imaging data and the predetermined color,
A color specifying method, wherein the detected difference is subtracted from the color in the object to correct the difference to detect an actual color in the object. The color specifying method according to claim 8,
A plurality of automatic recognition codes based on the color arrangement are provided in the vicinity of the object,
Reading an automatic recognition code by the cut out color arrangement, and calculating a correction value from the result;
Correcting the color contained in the object by the correction value;
A color specifying method characterized by comprising: The color specifying method according to claim 9,
The color identifying method, wherein the automatic recognition code based on the plurality of color arrays is an automatic recognition code based on a color array deflected with respect to a predetermined parameter.   11. The color specifying method according to claim 10, wherein the predetermined parameter is one of hue, brightness, and saturation, or two or more parameters. The color specifying method according to claim 9,
The color identification method, wherein the automatic recognition codes by the plurality of color arrangements represent different data. In the color specifying method according to any one of claims 6 to 12,
The color identification method according to claim 1, wherein the object is one of a one-dimensional barcode, a two-dimensional barcode, and a code representing data by other colors. In the color specifying method according to any one of claims 6 to 12,
The color specifying method, wherein the object is one of a photograph, a subject, and a code representing a function using color. In the method of specifying the color of the object using an automatic recognition code based on a color array that represents data by any of the arrangement, order, and combination of colors arranged in the vicinity of the object,
Imaging an automatic recognition code by the color arrangement and the object to obtain image data;
Cutting out an automatic recognition code by the color arrangement from the image data;
Obtaining a position for detecting a color in the object with reference to a position of an automatic recognition code by the cut out color arrangement;
Reading a color from the determined position in the image data;
Obtaining the color read from the object on the basis of the color in the automatic recognition code by the cut out color arrangement; and
A color specifying method characterized by comprising: The color specifying method according to claim 15,
The automatic recognition code based on the color arrangement includes a position reference cell serving as a position reference, and based on the position reference cell, a position for detecting a color in the object is obtained. Method. The color specifying method according to claim 15 or 16,
An automatic recognition code based on the color arrangement includes a color reference cell as a color reference, and the color of the object is obtained based on the color of the color reference cell. In the color identification method according to any one of claims 15 to 17,
The object is a harness for bundling a plurality of lead wires with different colors depending on functions, and obtaining a color of the bundled lead wires. In the method for creating the ID of the object using an automatic recognition code based on a color array that represents data by any of the arrangement, order, and combination of colors arranged in the vicinity of the object,
Imaging an automatic recognition code by the color arrangement and the object to obtain image data;
Cutting out an automatic recognition code by the color arrangement from the image data;
Obtaining a position for detecting a color in the object with reference to a position of an automatic recognition code by the cut out color arrangement;
Reading a color from the determined position in the image data;
Obtaining the color read from the object on the basis of the color in the automatic recognition code by the cut out color arrangement; and
Converting the obtained color into data;
ID creation method characterized by including this. The ID creation method according to claim 19,
The automatic recognition code based on the color arrangement includes a position reference cell that serves as a reference for the position, and an ID is created based on the position reference cell to obtain a position for detecting the color in the object. Method. The ID creation method according to claim 19 or 20,
The automatic recognition code based on the color arrangement includes a color reference cell serving as a color reference, and the color of the object is obtained based on the color of the color reference cell. In the ID preparation method of any one of Claims 19-21,
The ID creation method, wherein the object is a black-and-white photograph or a color photograph. In the position specifying method according to any one of claims 1 to 5,
The position identifying method, wherein the automatic recognition code is arranged inside the object. The position specifying method according to any one of claims 1 to 3,
The object is a code that represents a function using color, and has an unused area that is not used as the code,
The automatic identification code is arranged in the unused area inside the target object. In the color identification method according to any one of claims 1 to 5,
A position specifying method, wherein a plurality of the automatic recognition codes are arranged. The location method according to claim 25,
The position identification method, wherein the automatic recognition code is arranged in the vicinity of a corner of the object. In the color identification method according to any one of claims 6 to 14,
The color identifying method, wherein the automatic recognition code is arranged inside the object. In the color specifying method according to any one of claims 6 to 12,
The object is a code that represents a function using color, and has an unused area that is not used as the code,
The color identification method, wherein the automatic recognition code is arranged in the unused area inside the object. In the color identification method according to any one of claims 6 to 8,
A method for specifying a color, wherein a plurality of the automatic recognition codes are arranged. The color specifying method according to claim 29,
The color identifying method, wherein the automatic recognition code is arranged in the vicinity of a corner of the object.

Images