JP2011066523A - Information processing apparatus and method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To prevent a color vision able-bodied person from having the feeling of incompatibility even when color identification information for a person with imperfect color vision is added to a color image. <P>SOLUTION: Color image data are fetched from an image layer 31 by an image data acquisition part 41, color information of the predetermined position of an image in the image layer 31 is obtained by a corresponding information acquisition part 42, the color information is converted to a color name inside a color pallet 44, and the color name obtained previously is arranged at the predetermined position of an information insertion layer 32 by an insertion form determination part 43. That is, the color information is extracted from the image data of the image layer 31, the color information is converted to the color name, then the extracted color name is inserted to the information insertion layer 32 without changing the image of the image layer 31. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an information processing apparatus, method, and program for adding color identification information for a color weak person to a color image.

  In recent years, color printing has become easy, and in documents created by individuals, as shown in FIG. In this figure, the color names described in the graph 21a and the legend 21b are given for convenience in order to explain that the color is printed or displayed in that color. Color names are not added. “Mountain”, “Moe”, and “Le” are Yamabuki, Moe yellow, and Lemon yellow, respectively.

  However, even if it is a color that can be easily identified for people with normal color vision, there are colors that are difficult to distinguish from other colors for people with color vision disabilities (so-called color-weak people), and they relied only on the color. There are many cases where the document of expression cannot be understood correctly. For example, a color weak person who is difficult to perceive red and cannot easily distinguish between green and red is difficult to interpret a graph or the like that is separately colored with green and red.

  Further, when a color document is scanned in a gray mode to reduce the amount of data and converted into an image file, for example, FIG. 14A is recorded as shown in FIG. 14B. In the graph and legend, China, Bangladesh, Other Becomes the darkest gray as well, and the graph cannot be interpreted.

  That is, it should be noted that a document using an expression that relies solely on color may not be understood regardless of whether the person is color blind or not.

  As an invention for assisting the color identification of color-weak people, there is one that extracts color information of an original document, converts it into a color name, and prints / displays it over the original document (see Patent Document 1). ). However, the method of explicitly entering the color name in the color area means modification of the original document, which is very different from the document that normal color blind people usually see, gives a strange impression, and is used by healthy color blind individuals. There is a risk of damaging the feeling.

  The present invention has been made to solve such a problem, and the purpose thereof is to add color identification information for a weak color person to a color image so that a normal color blind person does not feel uncomfortable. Is to do so.

An information processing apparatus according to the present invention includes an image data acquisition unit that acquires color image data written in a layer of a file having a multi-layer function, and correspondence between a color image area and a color formed by the color image data A region / color correspondence information acquisition unit for acquiring a relationship, a color identification information determination unit for determining color identification information corresponding to the color of the region, and the color identification information corresponding to the region in a layer different from the layer An information processing apparatus having a color identification information adding unit for writing in a position.
The information processing method according to the present invention provides an image data acquisition step for acquiring color image data written in a layer of a file having a multi-layer function, and correspondence between color image areas and colors formed by the color image data An area / color correspondence information acquisition step for acquiring a relationship, a color identification information determination step for determining color identification information corresponding to the color of the area, and the color identification information corresponding to the area in a layer different from the layer And a color identification information adding step for writing in a position.
The program of the present invention is a program for causing a computer to function as the information processing apparatus of the present invention.

[Action]
According to the present invention, color information for each area of a color image is extracted from color image data written in a layer having a file having a multi-layer function, and the extracted color is located at the same position as the area on another layer. By writing color identification information (color name or the like) corresponding to the information, information is added while ensuring the originality of the original image.

  According to the present invention, since the added color identification information can be switched between visible and invisible by the user himself / herself, there is no need to separately prepare a document for normal color vision and a document for the color weak, and the user himself / herself. Can select the application and display / print it. Accordingly, the normal color blind person does not feel uncomfortable with the color image created for the color weak person, while the color weak person can obtain the color identification information, so that the feeling of use of both can be remarkably improved. .

It is a hardware block diagram of the information processing apparatus of the embodiment of the present invention. It is a figure which shows an example of PDF with a transparent text. It is a figure which shows a mode that color identification information is arrange | positioned instead of the text of an OCR result in PDF with a transparent text. It is a figure which shows the general | schematic flow of the process which provides color identification information to the information insertion layer of PDF with a transparent text. It is a figure which shows the functional block corresponding to FIG. It is a figure which shows the relationship between the size of area division and the resolution of an image. It is a figure which shows an example of the flow of an area | region labeling process. It is a figure which shows the flow of an area | region labeling process. It is a figure which shows the process which calculates | requires the largest circle inscribed in the continuous area | region of the same color, and its center. It is a figure which shows the process which arrange | positions the numerical value of a labeling result in the center of the largest circle calculated | required in FIG. It is a figure which shows the process which arrange | positions the color name of each area | region in the center of the largest circle calculated | required in FIG. 10 is a flow of processing for obtaining a maximum circle inscribed in a continuous region of the same color shown in FIG. 9 and its center. It is a figure which shows the system which can process of this invention by distributed processing. It is a figure which shows the conventional color document.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
[Information processing device]
FIG. 1 is a hardware block diagram of the information processing apparatus according to the embodiment of this invention.
The information processing apparatus includes a bus 1, a CPU (Central Processing Unit) 2, a memory 3, a communication device 4, a display device 5, an HDD (Hard Disk Drive) 6, an input device 7, an optical device, and the like. A drive 8 and an FD drive 9 are provided.

  The CPU 2 controls the operation of this information processing apparatus. The memory 3 includes a ROM (Read Only Memory) for storing a program executed by the CPU 2 at startup, necessary data, and the like, a RAM (Random Access Memory) for configuring a work area of the CPU 2, and the like. The communication device 4 is a device for connecting the information processing device to a network such as the Internet.

  The display device 5 is composed of a liquid crystal display or the like, and displays a screen and an operation state for operating this information processing device. The input device 7 includes a keyboard, a mouse, and the like, and is used to perform various key operations and instructions on the information processing device.

  The HDD 6 stores various application programs, work data, file data, and the like. The optical drive 8 is a device for reading a recording medium such as a CD-ROM or a DVD-ROM. The FD drive 9 is a device for performing writing and reading on a flexible disk.

[File with multi-layer function]
Since the information processing apparatus according to the present embodiment handles a file having a multi-layer function (a file in which a plurality of layers can be defined and data can be written / read for each layer), first, an example of a file having a multi-layer function A PDF (Portable Document Format) with transparent text will be described. Hereinafter, PDF will be described as an example. However, in an electronic document having a multi-layer function represented by PDF, only an element generally provided is mentioned, and the present invention is not limited to PDF. Needless to say, the present invention can be applied to all electronic documents having a multi-layer function.

  FIG. 2 shows an example of a PDF with transparent text. Here, FIG. 2A shows a PDF with transparent text, and FIG. 2B shows its layer. As shown in FIG. 2B, the text 12a, which is the OCR result of the character image 11a in the original image, is arranged in an invisible color, that is, transparent, directly above the character image 11a in a layer 112 different from the layer 111 of the original image. The PDF 11 with transparent text shown in FIG. 2A is integrated with the OCR result without changing the appearance of. By using Acrobat (registered trademark), which is a PDF file editing tool, a transparent text can be colored with any color. Of course, it is also possible to return to the original invisible color.

Therefore, in the present embodiment, color information is arranged in place of the text of the OCR result in the PDF with transparent text.
FIG. 3 shows an explanatory diagram. The image data of each pixel (or rectangular area) written in the image layer 31 has color information. In the information insertion layer 32, the color identification information is invisible at a position immediately above each pixel (or rectangular area). Insert with the text of The graph images described in FIG. 5, FIG. 6A to C, and FIG. 9 to FIG. 11 including this figure actually have the colors shown in FIG. 14A, but are displayed in shades for convenience. ing.

  As the color identification information, any information that can be converted into text, such as RGB value, hue (color name), saturation, and brightness, may be inserted. When it is desired to refer to the color identification information of a pixel (or rectangular area), the invisible text is colored using a PDF file dedicated tool, and is printed or displayed. Alternatively, it is also possible to insert information using visible color text when creating a document, and change the document information to an invisible color when the document user does not need the information.

  It is expected that the color-weak people often feel a psychological burden on being aware of their own color-weakness by others, and feel resistance to distributing special documents for the color-weak people. Also from this point, the present embodiment is preferable in which the same document is distributed to both the healthy person and the color-weak person, and the user can realize a document that can be changed for the color-weakness.

  In the conventional PDF with transparent text, the information insertion layer is pasted with the result of OCR of characters in the original document, as shown in FIG. In order to distinguish from the text of the information, a distinguishing prefix or suffix may be added to the text of the color identification information. As a result, even when a document is searched for text in the text using the search key, it is possible to prevent the text of the color identification information from being hit by mistake. For the distinguishing prefix, a character string having a low probability of appearing in the original document, such as “# F000”, may be used.

  In the case of a PDF with transparent text, search is the main purpose, and it is rare that the user explicitly changes the transparent text arranged on the original image to a visible color. This is because the user can read the original document by looking at the characters in the original image, and does not need to read the OCR result. In addition, even if the OCR result is incorrect, the characters of the original image can be read without change, so that there is an advantage that the error of the OCR result is less likely to be a fatal problem for reading the original document.

  On the other hand, in this embodiment, the multi-layer document format is used, and attention is paid to the fact that the user can explicitly change the color identification information text arranged on the original image to a visible color or an invisible color. The purpose is different from PDF with transparent text. Moreover, while the additional information in the PDF with transparent text is readable by the user in the original document, the additional information in the present embodiment cannot be perceived by the user (color weak person). This is a major difference between the PDF with transparent text and this embodiment.

[Outline of processing of information processing device]
FIG. 4 shows a schematic flow of processing for giving color identification information of image data to the information insertion layer. FIG. 5 shows functional blocks corresponding thereto. This functional block is realized by the CPU 2 in FIG. 1 executing a program stored in the memory 3 and the HDD 6. Hereinafter, description will be made in the order of FIG. 4 and FIG.

Step S1: An area for extracting color information is set. The minimum unit is a pixel.
Step S2: Extract the color information of the area set in Step S1. In the case of an area composed of a plurality of pixels, a representative color is obtained.

Step S3: An approximate color is determined from the color information of each area extracted in Step S2.
Step S4: The color information of the area is arranged at the same position as the area in the information insertion layer.
Details of each step will be described later.

  The image data acquisition unit 41 captures color image data from the image layer 31, the correspondence information acquisition unit 42 acquires color information of the designated position of the image in the image layer 31, and the color information is stored in a color palette (color information database) 44. The color name (color identification information) obtained previously is arranged at a designated position on the information insertion layer 32 by the insertion mode determination unit 43. That is, after extracting color information from the image data of the image layer 31 and converting the color information into a color name, the image of the image layer 31 is not changed, and the extracted color name is inserted into the information insertion layer 32. Here, the correspondence information acquisition unit 42 corresponds to the region / color correspondence information acquisition unit and the color identification information determination unit in the present invention, and the insertion mode determination unit 43 corresponds to the color identification information addition unit.

[Color reduction processing]
This process is an example of the process executed by step S1 in FIG. 4 and the correspondence information acquisition unit 42 in FIG.

  Color names are obtained by extracting discrete representative values that are easy for humans to perceive from continuous color changes. When creating a color document, consideration is often given to a color scheme that makes it easy for humans to perceive differences between colors.

  Therefore, the colors used to convey the intentions of the document creator, such as graphs, emphasis, and warnings, are suppressed to a number that can be easily identified, except for subtle color schemes of natural images. In other words, it is often not necessary to distinguish all colors prepared in a color palette with a conventional color name in the same document. This means that even if a slight change in scanning conditions or printing conditions causes a slight change in RGB values in the image file, it is not necessary to obtain a color name in consideration of the change.

  Therefore, before deciding the conventional color name, the color is quantized (reduced) into a representative color included in the document to be processed, and converted into a stable color set that is easy to identify. In addition, when the color is reduced, the contrast between the colors tends to be emphasized, and the identification becomes easier.

  After the color reduction processing, the subtle color change is integrated into the representative color, the number of colors is reduced, and a color name can be obtained using a color palette with a small number of colors. Since it is clear that a color palette with a smaller number of colors uses shorter color names, a smaller space is required to insert color names into the information insertion layer. Thereby, the area required for describing the color name may be small, and the influence on the original image is reduced, which is convenient.

  A representative color reduction means is a median cut method, which has been established as a general image processing function field.

  In summary, the image data of the image layer 31 is subjected to the color reduction process, the color information extraction process is performed on the image data after the color reduction process, the image data of the image layer 31 is not changed, and the extracted color information is converted into the extracted color information. Corresponding color identification information is added to the information insertion layer 32.

[Ignore minute continuous areas of the same color]
This process is an example of the process executed by step S1 in FIG. 4 and the correspondence information acquisition unit 42 in FIG.

  When the same color continuous area is small, there may be a color change that is originally unnecessary due to a change in the printing condition of the original document or a change in the scanning condition. In addition, the minute continuous area of the same color may not be important in the original document.

  Therefore, if the number of pixels in the same color continuous area is counted, and color information is acquired only in an area where the number of pixels is large (exceeds a predetermined threshold) and the color identification information is arranged in the information insertion layer 32, processing and storage capacity Is also reduced and convenient. In addition, it is possible to give color identification information to a limited space in a minute region and avoid an excess that overlaps with the color identification information of an adjacent region.

  In summary, in the image data of the image layer 31, the number of pixels in the continuous area of the same color is counted, and it is determined whether or not the area is a minute area from the count result. If not, the color information of that area is extracted. The image data of the image layer 31 is not changed, and the color identification information corresponding to the extracted color information is added to the information insertion layer 32.

[Determination of representative colors]
This process is an example of the process executed by step S1 in FIG. 4 and the correspondence information acquisition unit 42 in FIG.

  Although color information exists in each pixel, as described in the description of the color reduction processing, subtle color changes are rarely used in general color documents except for the natural image portion, and the same color area is It has a size that can be easily perceived by humans. Therefore, there is no need to unnecessarily acquire, display, and print color information in a very small range. Rather, excessive display of color information is cumbersome and the usability is greatly impaired.

  Therefore, the image is divided into a grid, a representative color is obtained in the divided rectangular range, and the color information of the representative color is arranged in the information insertion layer 32 immediately above the rectangular area. As a means for determining a representative color, an HSV having a large RGB / HSV / H weight is adopted as a color space, and “a simple average is used as a representative color” or “a color having the largest number of pixels” is selected. Various methods such as “representing a representative color” are conceivable, and a method capable of obtaining a desired result may be employed.

  In summary, the image data of the image layer 31 is divided into areas in a grid pattern, the representative colors for the areas are obtained, and the image data of the image layer 31 is not changed, and the color identification information corresponding to the extracted color information is information. That is, it is added to the insertion layer 32.

[Size of area division]
This process is an example of the process executed by step S1 in FIG. 4 and the correspondence information acquisition unit 42 in FIG.

  FIG. 6 shows an example in which the size to be divided (quantized) in a lattice shape is changed. Here, FIGS. 6A, 6B, and 6C respectively show the case where the size for dividing the color image region 31a on the image layer 31 is small (high resolution), medium (high resolution), and large (low resolution). is there. FIG. 6D shows a case where the gray area is divided.

  6A to 6C, it can be seen that the color distribution of the original document can be roughly grasped as the grid becomes larger. If it is not necessary to identify the color of the fine area of the original document, the text size of the color identification information inserted into the information insertion layer 32 is reduced when the lattice size is increased, so that the processing amount and the storage capacity are also reduced. It is convenient. Therefore, it is useful to be able to adjust the size of the grid-like division according to the purpose.

  In summary, the image data of the image layer 31 is divided into regions that can be resized by the user, a representative color for the region is obtained, and the image data of the image layer 31 is extracted without being changed. Color identification information corresponding to the color information is added to the information insertion layer 32.

[Determination of approximate color]
This process is an example of a process executed in step S3 in FIG. 4 and the correspondence information acquisition unit 42 in FIG.

  Since there is a limit to the practical visible character size (Reference: JIS S 0032: 2003 “Design Guidelines for Consideration for the Elderly and Persons with Disabilities-Visual Display-Method for Estimating Minimum Readable Character Size of Japanese Characters”) The minimum size of the font to be used is also determined, and it is difficult to give all color information in text format.

  In order to assist color identification with a limited number of texts, color-specific identifiers are assigned. In particular, when a conventional color name is used as an identifier unique to a color, it is advantageous because an impression of the color arrangement of the original image can be easily imagined.

  Furthermore, it is necessary not only for the color-blind person to understand the document, but also for the color-blind healthy person and the color-blind person to communicate with each other. It is desirable to use color names.

  In order to facilitate the communication between the two, it is essential for both to be able to understand and to provide a common identification means, and this embodiment satisfies that. In other words, making the same document into a form that can be understood by both the healthy person and the color-weak person is essentially required in order to solve the problem of the color-weak person.

The basic principle of obtaining a color name is shown below.
First, as the color palette 44 (FIG. 5), a correspondence table (so-called color sample, color palette) between conventional color names and their RGB values is prepared.

  For example, in the Web technical field, a correspondence table of RGB values and names is defined for 16 colors in HTML3.2 / 4.0. In addition, there are various color palettes in which color names and RGB values are defined. The correspondence between the color names and RGB values of the X Window System is defined in a text file called X11R6 / lib / X11 / rgb.txt for XFree86, for example. In addition, the JIS color name book [second edition (conforming to JIS Z 8102: 2001) "object color color name" defines the customary color name and its RGB value. If it is known which color of the sample can be approximated, it can be determined that the color is the name of the approximate color.

  When approximating colors, consider the color to be a point in the RGB three-dimensional space, and check the distance in the three-dimensional space between the color you want to approximate and the fixed pallet in a round-robin manner, and select the approximate color that has the smallest distance. And The distance between the colors in the three-dimensional space is obtained by the following formula in the case of the color A (Ra, Ga, Ba) and the color B (Rb, Gb, Bb) (in the case of the Euclidean distance).

RGB difference of each color ΔR = Ra−Rb
ΔG = Ga−Gb
ΔB = Ba−Bb
Distance between two colors (L) = {(ΔR) ² + (ΔG) ² + (ΔB) ² } ^1/2

  As another method, there is a method of defining a space using a tree structure using a binary tree called Binary Space Partitioning. This method can process at a higher speed than the round-robin method described above. Note that conventional techniques related to a means for acquiring a color name are disclosed in Patent Documents 2 and 3, which improve and refine the basic principle described above. In the present embodiment, any known or well-known acquisition unit may be used.

[Region labeling]
This process is an example of the process executed by step S1 in FIG. 4 and the correspondence information acquisition unit 42 in FIG.

  If the area from which color information is acquired is limited to a rectangular area, the original document may not be efficiently and precisely divided. Therefore, the same color continuous area is obtained for each pixel, and color information is extracted. The same color continuous area is obtained by area labeling processing.

  The labeling process is a process of adding a label number to a set having the same color information in connected pixels. In the procedure, first, a new label number is added to a pixel to which no label is added on the image. Then, the same label number is added to pixels that are connected to the pixel to which the new label number is added and have the same color information. Next, the same label number is added to the pixels that are connected to the pixels having the same label number and have the same color information. This operation is continued until no pixels having the same color information are connected. Thus, the same label number is added to one connected component. After that, the same processing is performed on the pixels to which the return label number is not added first. When label numbers are added to all pixels, the labeling process ends. An example of the flow of the labeling process is shown in FIG.

FIG. 8 shows a flow of the area labeling process.
Step S11: The counter 0 of the label number assigned to the area is cleared.
Step S12: It is determined whether or not there is a non-labeled pixel (a pixel to which no label is assigned). If there is, the process proceeds to step S13. If labels are assigned to all the pixels, the flow ends.

Step S13: The current label number (label number counter value) is assigned to the unlabeled pixel.
Step S14: Search for the vicinity of the pixel to which the label is assigned in step S13 (four directions up and down, left and right, or eight directions up and down, left and right).

  Step S15: It is determined whether there is an unlabeled pixel of the same color in the vicinity of the pixel to which the label is assigned. If there is a pixel with no label, the pixel is set as a processing target pixel, and the process returns to Step S13. If all the neighboring pixels have been labeled, the process proceeds to step S16.

Step S16: Increment the label number counter and return to step S12.
In summary, after obtaining a continuous area of the same color by the labeling process for the image data of the image layer 31, the color information of the area is extracted, and the image data of the image layer 31 is extracted without being changed. Color identification information corresponding to the color information is added to the information insertion layer 32.

[Determination of representative position of area]
This process is an example of the process executed by step S1 in FIG. 4 and the correspondence information acquisition unit 42 in FIG.

  The area obtained by the labeling process is an indeterminate shape that changes in units of pixels. Therefore, it is necessary to obtain a position suitable for representing the area. One condition suitable for a point representing the region in the irregular region is that it is the center in the region, that is, is equidistant from the periphery of the region.

  There is no strict definition for the center of the irregular region, but the desired purpose can be achieved if the maximum inscribed circle of the region is determined and replaced by that center. In this embodiment, after obtaining the maximum inscribed circle of the region, the color information of the region is presented to the user by arranging the color information of the region in the information insertion layer located immediately above the center. can do.

  First, as shown in FIG. 9, the positions of the centers P1 to P3 of the largest circle inscribed in the continuous area of the same color are obtained from the image data of the image layer 31, and are arranged at the same position of the information insertion layer 32.

  Next, as shown in FIG. 10, the numerical values 321 to 328 of the labeling results of the continuous areas of the same color are overwritten at the same positions as the centers P1 to P3 and the like in the information insertion layer 32. Here, if it is sufficient to distinguish between colors, it is not necessary to assign a color name, and only the labeling result of the area is arranged. Since regions of the same color have the same label, the colors can be distinguished and the same color can be determined.

  Finally, as shown in FIG. 11, the color names 3211 to 3281 of each area are overwritten at the positions where the numerical values 321 to 328 of the labeling results are arranged first.

FIG. 12 is a flow of processing for obtaining the centers P1 to P3 of the maximum circle inscribed in the continuous region of the same color shown in FIG.
Step S21: The maximum radius value is cleared to 0, and the center coordinates are cleared to (0, 0).
Step S22: It is determined whether or not there is an unexamined pixel. If not, that is, if the maximum inscribed radius of all pixels has been obtained, the flow ends.

Step S23: The maximum radius value is incremented.
Step S24: A pixel included in the current radius of the current pixel of interest is searched, and the presence / absence of a pixel having a label different from the label of the current region is inspected.

Step S25: It is determined whether there is a pixel with a different label. If there is, the process proceeds to step S26, and if not, the process returns to step S23.
Step S26: It is determined whether or not the current radius value exceeds the maximum radius value. If so, the process proceeds to step S27, and if not, the process returns to step S22.

  Step S27: The maximum radius value is updated with the current radius value, the coordinate value of the current pixel is set to the center coordinate value, and then the process returns to Step S22.

  9 to 11 are summarized. In the image data of the image layer 31, after obtaining a continuous area of the same color by the labeling process, color information of the area is extracted, and the maximum radius inscribed circle of the area is extracted. Therefore, the image data of the image layer 31 is not changed, and the color identification information corresponding to the extracted color information is added to the position of the information insertion layer 32 corresponding to the center of the maximum radius inscribed circle.

[Process Gray Document]
In a gray manuscript, the intention of the document creator may be expressed by shading, but when scanning in the binary mode, shading information is lost in the obtained image file. Therefore, as in the case of the color image described above, information on grayscale can be arranged in the information insertion layer to compensate for missing information from the gray image.

  Summarizing the above processing, the image data of the image layer is divided into areas in a grid pattern, the grayscale information for the area is obtained, the image data of the image layer is not changed, and the extracted grayscale information is added to the information insertion layer. It will be.

[Distributed processing]
The information processing apparatus of the present embodiment can also be realized on the system shown in FIG. In this system, an MFP (Multi Function Peripheral) 102, a server 103, and a scanner 104 are connected via a network 101, and the process shown in FIG. 5 is performed on a color document input from the MFP 102 or the scanner 104. The MFP 102 or the scanner 104 and the server 103 may be configured to share processing.

As described above, according to the present embodiment, the color identification information of the image data of the image layer 31 is added to the information insertion layer 32 different from the image layer 31 using the PDF file with transparent text. The color identification information can be added while ensuring the originality of the original image data.
In addition, since the added color identification information can be switched between visible and invisible by the user himself / herself, there is no need to prepare a separate document for color-blind healthy persons and a document for color-blind persons, and the user himself / herself selects the application Display / printing.
As a result, the normal color blind person does not feel uncomfortable with the color image created for the color weak person, while the color weak person can obtain the color identification information, so that the feeling of use of both can be remarkably improved. it can.

  DESCRIPTION OF SYMBOLS 31 ... Image layer, 32 ... Information insertion layer, 41 ... Image data acquisition part, 42 ... Corresponding information acquisition part, 43 ... Insertion mode determination part, 44 ... Color palette.

JP 2001-257867 A JP 2002-22537 A Japanese Patent No. 3208961

Claims (10)

An image data acquisition unit for acquiring color image data written in a layer having a file having a multi-layer function;
A region / color correspondence information acquisition unit for acquiring a correspondence relationship between a color image region and a color formed by the color image data;
A color identification information determination unit for determining color identification information corresponding to the color of the region;
A color identification information adding unit that writes the color identification information in a position corresponding to the region in another layer and the layer;
An information processing apparatus comprising: The information processing apparatus according to claim 1,
The information processing apparatus, wherein the color identification information adding unit writes the color identification information in an arbitrary color including an invisible color. The information processing apparatus according to claim 1,
The information processing apparatus according to claim 1, wherein the area / color correspondence information acquisition unit includes a color reduction unit that reduces color of input color image data. The information processing apparatus according to claim 1,
The information processing apparatus according to claim 1, wherein the area / color correspondence information acquisition unit acquires a correspondence relationship between an area obtained by dividing the area of the color image in a grid pattern and a color. The information processing apparatus according to claim 4,
An information processing apparatus characterized in that the size of the area divided into the lattice is variable. The information processing apparatus according to claim 1,
The area / color correspondence information acquisition unit acquires a correspondence relationship between continuous areas of the same color and colors from the image data. The information processing apparatus according to claim 1,
The region / color correspondence information acquisition unit acquires a correspondence relationship between the center position of a maximum inscribed circle of a continuous region of the same color and a color from the image data, and the color identification information addition unit includes the center position at the center position An information processing apparatus for writing color identification information. The information processing apparatus according to claim 1,
A unit that counts the number of pixels in a continuous region of the same color from the image data, and the region / color correspondence information acquisition unit associates with a color only for a region where the count value of the counting unit exceeds a predetermined threshold value; An information processing apparatus characterized by acquiring An image data acquisition process for acquiring color image data written in a layer having a file having a multi-layer function;
An area / color correspondence information obtaining step for obtaining a correspondence relationship between colors and areas of a color image formed by the color image data;
A color identification information determination step of determining color identification information corresponding to the color of the region with reference to a color information database;
A color identification information adding step for writing the color identification information at a position corresponding to the area in the layer different from the layer;
An information processing method characterized by comprising:   A program for causing a computer to function as the information processing apparatus of the present invention.