JP5279085B2 - Color arrangement conversion apparatus and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a color scheme conversion device for increasing the contrast of a color, and for converting it into an easily visible color scheme in such a state that the features of such a color scheme as a tone brought about by the combination of the color scheme of electronic content including Web content, that is, the combination of a plurality of colors is maintained as much as possible. <P>SOLUTION: The color scheme conversion device analyzes the distribution of a color scheme on an obtained image; sets up a color characteristic database equipped with information related with the definition of a color; sorts the analyzed color scheme into color scheme types by analyzing a color difference about the analyzed color scheme; sets up a color difference analysis information database equipped with information for analyzing the color difference; converts the color scheme on the obtained image by changing the color difference according to the sorted color scheme types; sets up a conversion rule database equipped with a rule related with the change of the color difference; and outputs the result of the conversion of the color scheme. <P>COPYRIGHT: (C)2011,JPO&amp;INPIT

Description

  The present invention relates to an apparatus and a program for displaying conversion contents and results when converting an electronic image and electronic content into a color scheme that is easy to see while maintaining the characteristics of the color scheme.

  In recent years, there has been a demand for creation and provision of web contents on the assumption that the Internet is widely spread in society and browsed in various environments and that users with various characteristics exist.

  In this, “Web accessibility guidelines” describing check items for ensuring the accessibility of websites are regarded as important.

  In 2008, the World Wide Web Consortium formulated Web Content Accessibility Guidelines 2.0 (hereinafter WCAG 2.0). In response to this, JIS X 8341-3: 2009 “Guidelines for Designing Considerations for the Elderly and Persons with Disabilities—Information Communication Equipment, Software, and Services” (hereinafter “New JIS”) is scheduled to be revised in 2009. is there. The new JIS is a Japanese translation of WCAG 2.0, and the content is the same. Among the check items of this guideline is an item related to the color scheme of the website.

  The items related to color schemes on this website are stipulated based on the concept of considering users with different color appearances depending on heredity or disease. In other words, many colors are used for websites due to the colorization of electronic devices' displays and electronic files, considering printing in black and white, and considering users with different colors depending on genetics or disease. doing.

  The check items related to the color scheme of the above website calculate the contrast (degree of difference) of the color and brightness for the background color and the character color, and if the value exceeds a certain standard, the character Is an item that is easy to read and determines that characters are difficult to read if the above criteria are not met.

  For example, when a designer considers the color scheme of web content, a color that is easily distinguishable from the background is often selected as the color of text and link characters. However, for menu buttons, logo marks, etc., importance is placed on the impression of the entire web screen and the “tone” of the color, which lowers the priority of the color visibility. Here, the “tone” is treated as a concept that combines lightness and saturation, particularly in Japan.

  For example, it is determined that the high lightness / low chroma region is a “bright” color, and the medium lightness / medium chroma region is a “bright” color. Since the concept of tone is classified by adjective, it is very effective as a color scheme when expressing an image. In addition, for example, it can be unified with a corporate color or the like.

  However, according to the above concept, since colors of the same brightness / saturation region are used, there is a problem that the color contrast is often small, and it is difficult for a person with certain color vision characteristics to distinguish. There is a problem that it may appear as a combination of colors (see Non-Patent Document 1, for example).

Masataka Okabe and Kei Ito, “Diversity of color vision and color vision barrier-free presentation (3)” Cell Engineering, Vol.21, No.9, pp.1080-1104 (2002)

  The present invention converts a color scheme of electronic content including web content, that is, a combination of a plurality of colors into a color scheme that increases color contrast and is easy to see while maintaining as much as possible the color scheme characteristics such as the tone that the combination brings. It is an object of the present invention to provide a color arrangement conversion device capable of performing the above.

The color arrangement conversion apparatus according to the present invention has color characteristics including image acquisition means for acquiring an image and classification information for classifying colors based on the values of hue H, lightness L, and saturation C in color conversion of an electronic image. The database and the RGB value of the acquired image are converted into the L * a * b * color system, and the C value representing the saturation and the H value representing the hue using the L * a * b * color system. The image pixels are classified into color regions based on the classification information of the color characteristic database, and three color regions having a large number of pixels are selected except for the white and black color regions, and the selected color region Based on the hue of the color area, the color arrangement analysis means for determining the color arrangement type indicating whether the color arrangement is similar or other hue arrangement, and the brightness of the color area based on the information and color arrangement type of the three color areas selected by the color arrangement analysis means A color scheme classifier that classifies the color scheme types more closely And a color difference analysis information database having information for analyzing the color difference by the color arrangement classification unit, and changing the color difference in accordance with the color arrangement type classified by the color arrangement classification unit, thereby obtaining an image on the acquired image. It is characterized by comprising color arrangement conversion means for converting a color arrangement, a conversion rule database having rules relating to a change in color difference in the color arrangement conversion means, and a result output means for outputting a result obtained by converting the color arrangement.

  The present invention extracts the color scheme of electronic content including web content, that is, the combination of a plurality of colors, and extracts the color scheme features such as tones that the combination brings, and increases the color contrast while maintaining the features as much as possible. There is an effect that it can be converted into an easy-to-see color scheme.

1 is a block configuration diagram illustrating a color arrangement conversion device 100 that is Embodiment 1 of the present invention. FIG. 3 is a flowchart showing a flow of processing in the color arrangement conversion apparatus 100. It is a figure which shows the example of the information which the color characteristic database 3 has. It is a figure which shows the example of the information which the color scheme classification means 4 classified the color scheme. It is a block diagram which shows the color scheme conversion apparatus 200 which is Example 2 of this invention. It is a flowchart which shows the flow of a process in the color scheme conversion apparatus 200 which is Example 2 of this invention.

  The modes for carrying out the invention are the following examples.

  FIG. 1 is a block diagram showing a color arrangement conversion apparatus 100 that is Embodiment 1 of the present invention.

  The color arrangement conversion apparatus 100 is implemented as an application that operates alone in the PC. The color arrangement conversion apparatus 100 includes an image acquisition unit 1, a color arrangement analysis unit 2, a color characteristic database 3, a color arrangement classification unit 4, a color difference analysis information database 5, a color arrangement conversion unit 6, a conversion rule database 7, and a result. Output means 8.

  The image acquisition unit 1 is a unit that acquires an electronic image file and acquires RGB values (red component R, green component G, and blue component B) for all pixels of the image.

  The color arrangement analysis unit 2 has RGB values from the image acquired by the image acquisition unit 1 as three values: a lightness (brightness) component L * value, a color component a * value, and a color component b * value. This is a means for converting to the L * a * b * color system and using this color system to determine the saturation C * value and the H value indicating the hue. That is, the color arrangement analysis unit 2 is a color arrangement analysis unit that analyzes the distribution of the color arrangement on the acquired image.

  The color characteristic database 3 includes information for classifying colors based on values of lightness L * value, saturation C * value, and hue H value. That is, the color characteristic database 3 is a color characteristic database having information relating to the definition of colors.

  The color arrangement classification means 4 is a means for determining how much the colors constituting the color arrangement are different under a specific condition and further classifying the color arrangement. That is, the color arrangement classification means 4 is a color arrangement classification means for classifying the analyzed color arrangement into a color arrangement type by analyzing the color difference of the color arrangement analyzed by the color arrangement analysis means. The color scheme is a combination of colors.

  The color difference analysis information database 5 has information serving as a reference for classifying the color arrangement, and this information is information on representative colors in each color region defined in the color characteristic database 3. The representative color will be described later. That is, the color characteristic database 3 is a color difference analysis information database including information for the color arrangement classification means to analyze the color difference.

  The color arrangement conversion means 6 is a means for converting to a different color according to the classification obtained by the color arrangement classification means 4. That is, the color arrangement conversion means 6 is a color arrangement conversion means for converting the color arrangement on the acquired image by changing the color difference according to the color arrangement type classified by the color arrangement classification means.

  The conversion rule database 7 has conversion processing rules corresponding to the color classification. The color arrangement conversion means 6 actually performs a color conversion calculation process based on the information in the conversion rule database 7. That is, the conversion rule database 7 is a conversion rule database that includes rules relating to color difference changes in the color arrangement conversion means.

  The result output means 8 is a means for outputting the result of conversion of the color scheme, and converts the information on the lightness L * value, C * value, and H value into RGB values and displays them as images. If there are multiple results for color scheme conversion, they are all displayed.

  Next, a processing flow in the color arrangement conversion apparatus 100 will be described.

  FIG. 2 is a flowchart showing the flow of processing in the color arrangement conversion apparatus 100.

  In step S1, the image acquisition unit 1 acquires an electronic image file, and acquires RGB values (red component R, green component G, blue component B) for all the pixels of the image.

  In step S2, the color arrangement analyzing unit 2 converts the RGB value from the image acquired by the image acquiring unit 1 into three values of a lightness (brightness) component L * value, a color component a * value, and a color component b * value. The color system is converted into an L * a * b * color system having one value, and using this color system, a C * value representing saturation and an H value representing hue are obtained. The lightness L *, the color component a *, and the color component b * have mutually independent axes.

  The lightness L * value varies in the range of 0 to 100, and the larger the value, the brighter the value. That is, if the lightness L * = 0, it is black, and if the lightness L * = 100, it is white. The color component a * value representing the color changes between red and green, and indicates that red is positive at a positive value and green is strong at a negative value. The color component b * value representing the color changes between blue and yellow, indicating that yellow is positive and strong blue is negative.

  FIG. 3 is a diagram illustrating an example of information included in the color characteristic database 3 in the first embodiment.

  If the color component a * = 0 and the color component b * = 0, there is no color, that is, gray. If the C * value representing saturation is 0, the color is gray, and the color becomes brighter as the value increases. The maximum value of C * representing saturation varies depending on the color. The H value indicating the hue is represented by an angle, and becomes approximately red at 0 °, and changes from yellow, green, blue, and purple as it changes from 0 ° to 360 °.

  The color information acquired in steps S1 and S2 is sent to the color arrangement analysis means 2.

  In step S3, the color arrangement analyzing unit 2 receives the image acquisition unit 1 based on the brightness L * value, saturation C * value, hue H value, and information of the color characteristic database 3 of each pixel received. Find the characteristics of the color scheme. The color characteristic database 3 includes information for classifying colors based on values of lightness L * value, saturation C * value, and hue H value.

  As shown in FIG. 3A, the hue information is obtained by dividing the hue angle H value from 0 ° into 10 parts, and each of the hue angles divided into 10 parts is “red”, “orange”, “yellow”. ”,“ Yellowish green ”,“ green ”,“ blue green ”,“ blue ”,“ blue purple ”,“ purple ”,“ red purple ”. In each hue, as shown in FIG. 3B, when the lightness L * value is 95 or more, it is “white”, and when it is less than 5, it is “black”. Then, the remaining brightness values are divided into three equal parts, and the brightness values L1, L2, and L3 are set from the brighter side.

  Normalization is performed so that the saturation C * value changes from 0 to 100 within one hue range. In a standardized saturation value, a hue with a saturation value of less than 4 is assumed to be an achromatic color (gray). Divide the saturation value between 4 and 100 into three equal parts. An example of this classification is shown in FIG.

  Note that the color classification is not necessarily limited to this classification, and may be divided more finely.

  The color arrangement analysis unit 2 corresponds to the color information (RGB value) of each pixel received by the image acquisition unit 1 according to the lightness L * value, the saturation C * value, the hue H value, and the color characteristic database 3. And classify.

  The pixels of each color are classified into the areas shown in FIG.

  Next, the total number of pixels classified into each region is obtained. For the achromatic color and all the hues, among the classified areas, three areas are selected from the one with the larger number of pixels. The top three areas are selected, but the order between the selected areas is not a problem. Here, if white or black is included in the upper three areas, the number of color areas is adjusted so that the total of the areas including neither white nor black is three. However, if those areas are less than three areas, the maximum number is assumed.

  Next, based on the selected combination of color regions, it is determined what color scheme the target image has mainly. That is, in the selected color area, when the area excluding white and black is included only in two adjacent hues + gray areas in FIG. 3A, the “similar hue color scheme” is used. Judge that there is. Also, in the case of a combination of only white, black, and gray areas, it is determined that the color is a “similar hue color scheme”. Other than that, it is determined to be “other hue color scheme”. Information on the selected color region and information on the color arrangement type (see FIG. 4) are sent to the color arrangement classification means 4.

  In step S4, the color arrangement classification means 4 determines how much the colors constituting the color arrangement differ under a specific condition, and further classifies the color arrangement. The color difference analysis information database 5 has information as a classification reference. Information included in the color difference analysis information database 5 is information on representative colors in each color region defined in the color characteristic database 3. The representative color is a color having a median value of the lightness L * value and the saturation C * value of each region defined in the color characteristic database 3. It is assumed that white has a lightness L * = 100 and black has a lightness L * = 0, and both the white saturation value and the black saturation value are defined as 0.

  The color difference analysis information database 5 also has “confused color” information in a certain color vision characteristic. The confusion color is a combination of colors that are difficult to distinguish, for example, a combination of red and green having the same brightness (see Non-Patent Document 1). For each color region defined in the color characteristic database 3, the color difference analysis information database 5 has in advance information indicating which combination corresponds to the “confused color”. For example, the color difference analysis information database 5 has information in advance that the combination of red L1 and green L1, red L2 and green L2, and red L3 and green L3 is “confused color”. The information that the color difference analysis information database 5 has is used for the color arrangement classification means 4 to classify the color arrangement.

  The color arrangement classification unit 4 uses the information of the color difference analysis information database 5 to output different results depending on the color arrangement type information received from the color arrangement analysis unit 2.

  If it is “similar hue color scheme”, it is a color scheme composed of similar hues, and if the selected color area except for white and black is in different brightness areas (for example, brightness L1 and L2). Etc.), “similar hue coloration—different lightness”. Among the selected color regions, the region excluding white and black is included in the same region (lightness) (for example, only the lightness L1) is “similar hue coloration-same lightness”. And

  In the case of “other hue color scheme”, first, a difference in lightness is determined and classified into “other hue color scheme—different lightness” and “other hue color scheme—same lightness”. Here, it is conceivable that the “specific hue coloration-same lightness” has a large specific gravity of the meaning of the tone (lightness / saturation). However, in the “other hue coloration-same lightness”, there may be a combination of hues that are very difficult to distinguish for a certain color vision characteristic. Therefore, based on the color difference analysis information database 5, “confusion color” (some color vision) It is determined whether or not a combination of colors that are difficult to distinguish for characteristics is included.

  Finally, regardless of the above classification, classification is performed according to how white and black are included in the region selected by the color arrangement analysis means 2. That is, the area is classified according to the combination of white and black contained in the area selected by the color arrangement analysis means 2. In other words, a type that includes both white and black is referred to as Type I, a type that includes only one of white and black is referred to as Type II, and a type that does not include white or black. Let it be type III.

  In the case of Type II including only white or black, the brightness difference between white and the color of the darkest area or the brightness difference between black and the color of the brightest area is obtained. In other words, in order to achieve a color scheme that can be discriminated by any color vision characteristic (or black and white printing), it is necessary to first provide a brightness difference. As described above, in web pages, the background / characters are often white or black. When only one of them is included (for example, when the background is white and black is not in the top three), it can be expected that the character is using another dark color (such as dark blue). In this case, it is important to keep the brightness difference between the background and the characters large. At this time, based on the information in the color difference analysis information database 5, white is set to lightness L * = 100, black is set to lightness L * = 0, and the lightness L * value of the representative color of the selected color region is used. To find the brightness difference.

  In the case of Type III in which neither white nor black is included, the brightness difference between the representative color of the brightest region and the representative color of the darkest region among the selected regions is obtained by the same method as described above. At this time, when all the selected areas are the same brightness area (same brightness), the brightness difference is zero.

  FIG. 4 is a diagram illustrating an example of information in which the color scheme classification unit 4 classifies the color scheme in the first embodiment.

  The classification information obtained in step S4 is sent to the color arrangement conversion means 6. In step S5, the color arrangement conversion unit 6 converts the color into a different color according to the classification obtained by the color arrangement classification unit 4.

  Hereinafter, the conversion process for each classification will be described. The conversion rule database 7 stores conversion processing rules corresponding to the classifications described below. The color arrangement conversion means 6 actually performs a color conversion calculation process based on the information in the conversion rule database 7.

  In “similar hue color scheme—different lightness—I (first classification)” and “other hue color arrangement—different lightness—I (seventh classification)” in which both white and black are included in the conversion target color scheme, white Are converted so that the intervals of lightness of each color including black and black are equal. That is, first, it is desirable to increase the interval of the brightness of the constituent colors. Since white is the maximum value of L * and black is the minimum value, only that range can be used.

  In "similar hue coloration-same lightness-I (fourth classification)" and "other hue coloration-same lightness-unconfused color-I (13th classification)", the lightness of any one color is fixed and the other Convert colors to other brightness regions. That is, since the color scheme with the same brightness as a whole is often a color scheme that is conscious of the tone, one color should not change the original brightness so as not to disturb the impression of the tone as much as possible.

  "Similar hue color scheme-separate brightness-II (second classification)", "similar hue color scheme-same brightness-II (fifth classification)" in which only one of white and black is included in the color scheme to be converted , “Other Hue Color Combination—Separate Brightness—II (Eighth Classification)” and “Other Hue Color Combination—Same Brightness—Non-Confusion Color—II (14th Classification)” are white for the color for which the brightness difference was obtained in step S4. (Or black) is converted so that the lightness difference is lightness L * = 90, and then other colors between the lightness of white (or black) and the lightness of the converted color are shown in FIG. Conversion is performed in the same manner as shown in Type I. That is, conversion is performed so that the brightness intervals of each color including white and black are equal.

  In "similar hue color scheme-different lightness-III (third category)" and "other hue color scheme-different lightness-III (ninth category)" that do not include white or black in the color scheme to be converted, the color of maximum brightness 4 is converted so that the difference between the lightness of the lightness and the lightness of the color of the minimum lightness becomes lightness L * = 90, and then (second classification), (fifth classification), (eighth classification), ( The conversion is performed in the same manner as the conversion method in (14th classification).

  In “similar hue coloration-same lightness-III (sixth classification)” and “other hue coloration-same lightness-unconfused color-III (15th class)”, the lightness of one color is fixed, and the other colors The brightness is converted into another brightness area.

  In “Other Hue Coloration-Same Lightness-Confusion Color (10th Class) (11th Class) (12th Class)”, first, the hue of one color is fixed, and the other color of the combination that becomes the mixed color is separated. Convert to hue. In the case of hue conversion, here, in the hue circle shown in FIG. 3A, for purple-green and green, and red and blue-green (complementary colors) that are likely to be confused with each other by 180 °, rotate 90 °. And the other hue is converted into a hue rotated by 180 °. Further, when the hue is converted, the lightness value and the saturation value are not changed.

  After that, with respect to “other hue color scheme-same lightness-confused color-I (10th classification)”, lightness conversion similar to (fourth classification) and (13th classification) is performed, and “other hue color scheme—same brightness— Confusion color-II (11th classification) ”is subjected to the same lightness conversion as (2nd classification), (5th classification), (8th classification), and (14th classification). For “-confused color-III (12th classification)”, the same brightness conversion as in (sixth classification) and (15th classification) is performed.

  The color information converted in step S5 is sent to the result output means 8.

  In step S6, the result output means 8 converts the lightness L * value, saturation C * value, and hue H value information into RGB values and displays them as images. If there are a plurality of results regarding the color scheme conversion, the result output means 8 displays all the results.

  The image acquisition unit 1 acquires RGB values, but other indices may be used. For example, when an HTML file is acquired, a tag representing a color may be acquired. In the first embodiment, RGB values are converted into L * a * b * values. If the three attributes of color (brightness, saturation, and hue) can be expressed numerically, the HSV color space is used. For example, other color spaces may be used.

  Although 3 to 5 color regions having a large number of pixels are selected by the color arrangement analysis means 2, this selection is not necessarily required. For example, although there will be a difference in the final output result, other selection methods should be adopted for the selection of the color area itself, such as “Select only vivid color area”, “Select only warm color”, etc. May be.

  The hues possessed by the color characteristic database 3 do not necessarily need to be classified into ten types, and different classifications may be executed for luminance values and saturation values by employing other classification criteria. The classification is based on the lightness L * value, C * value, and H value, but if the three attributes of color can be expressed numerically, other color spaces such as HSV color space may be used. Good.

  In the color difference analysis information database 5, the median value of the lightness L * value and the saturation value is used as the representative value of each color region. For example, the average value of the values of the pixels classified in the region is used. It may be a representative value.

  In the color difference analysis information database 5, a combination of confusion colors is defined in advance, but the confusion colors may be obtained by calculation processing each time. In this case, the calculation formula is defined in the color difference analysis information database 5 and is calculated in the color arrangement classification means 4.

  The conversion rule included in the conversion rule database 7 is not necessarily limited to the above method, but may be any conversion rule that maintains a lightness difference between color schemes and avoids confusion colors.

  The result output unit 8 is a unit that displays the conversion result as an image, but it does not necessarily have to be displayed as an image. For example, the converted color may be displayed as a document.

  FIG. 5 is a block diagram showing a color arrangement conversion apparatus 200 that is Embodiment 2 of the present invention.

  The color arrangement conversion apparatus 200 is an embodiment that is executed as an application having Internet communication means operating in a PC.

  The color arrangement conversion apparatus 200 includes a communication unit 21, a color code extraction unit 22, a color information acquisition unit 23, a color arrangement analysis unit 12, a color characteristic database 13, a color arrangement classification unit 14, a color difference analysis information database 15, A color arrangement conversion unit 16, a conversion rule database 17, and a result output unit 18 are included.

  That is, the communication unit 21 is a communication unit that acquires web content from the web. The color code extracting means 22 is a color code extracting means for extracting color information from the acquired web content source code. The color information acquisition unit 23 is a color information acquisition unit that images the acquired web content and acquires color information.

  The color arrangement analysis unit 12 is a color arrangement analysis unit that analyzes the color distribution of the content using the color information obtained by the color code extraction unit and the color information acquisition unit. The color characteristic database 13 is a color characteristic database having information relating to the definition of colors. The color arrangement classification means 14 is a color arrangement classification means for classifying the analyzed color arrangement into a color arrangement type by analyzing the color difference of the color arrangement analyzed by the color arrangement analysis means.

  The color difference analysis information database 15 is a color difference analysis information database including information for the color arrangement classification means to analyze the color difference. The color arrangement conversion means 16 is a color arrangement conversion means for converting the color arrangement on the acquired image by changing the color difference according to the color arrangement type classified by the color arrangement classification means. The conversion rule database 17 is a conversion rule database including rules relating to color difference changes in the color arrangement conversion means. The result output means 18 is a result output means for outputting the result obtained by converting the color scheme.

  Next, the operation of the color arrangement conversion apparatus 200 will be described.

  FIG. 6 is a flowchart showing the flow of processing in the color arrangement conversion apparatus 200.

  In step S1, the communication means 21 communicates to acquire content stored in the content server CS1 on the network NW1, and receives target content that is subject to color conversion. The target content is one web page stored in the content server CS1, and all files constituting the page are acquired. Typical examples of the target content include an HTML file, a CSS file, and an image file. The communication unit 21 sends the source code of the HTML file and the CSS file among the target contents to the color code extraction unit 22, and all the acquired files including the HTML file and the CSS file are stored in the color information acquisition unit. 23.

  In step S <b> 2, the color code extracting unit 22 acquires all the color codes described in the HTML file and the CSS file of the target content received from the communication unit 21 together with the element attributes.

  The color code is a description format for designating a color in HTML and CSS. After the # symbol, from the left, the R value representing red, the G value representing green, and the B value representing blue are expressed in hexadecimal.

  An element is a unit constituting a web page, such as a background or a table, in HTML, and is described in a <> tag. The attribute is information added to the element. Both elements and attributes can be used to determine what kind of object the color is used (for example, whether it is used for the background color or the character color). In CSS, this is called a property. In the second embodiment, these are collectively referred to as element attributes.

  Here, background and character attributes are acquired as element attributes to be acquired. The element attributes extracted as the background include a bgcolor attribute in the HTML body element, a bgcolor attribute in the table element, and a CSS background-color property. Element attributes extracted as characters include a text attribute in an HTML body element, a link attribute that specifies the color of a link character, and a CSS color property.

  In the HTML file, the attribute or element described before the color code is extracted in the same line as the color code, and in the CSS file, the property described before the color code is extracted.

  The extracted color code is converted into RGB values, and the converted RGB values are converted into lightness L *, saturation C * value, and hue H value. The conversion method may be the same as step S2 in the first embodiment.

  Information relating to the combination of elements and color information is sent to the color arrangement analysis means 12.

  In step S <b> 3, the color information acquisition unit 23 images the appearance of the target content received from the communication unit 21. Here, a general web browser only needs to have a function of reproducing the appearance of a web page from each content file and converting it into an image. In the created image, the RGB value of each pixel is converted into a lightness L * value, a saturation C * value, and a hue H value. The conversion method may be the same as step S2 in the first embodiment. These pieces of color information are also sent to the color arrangement analyzing means 12.

  In step S <b> 4, the color arrangement analysis unit 12 arranges the color information received from the color code extraction unit 22 and the color information received from the color information acquisition unit 23. First, if the color information received by the color information acquisition unit 23 includes the same color information as the color information received by the color code extraction unit 22, this color information is deleted. This is because the information about the background and the characters are handled separately. In other words, the standard of WCAG 2.0 regarding the combination of the background and the characters is very strict. Therefore, when the color is extracted without specifying the attribute as described in the first embodiment (for example, a part of the background, an icon, etc. May be too strict). Moreover, in the first embodiment, the WCAG 2.0 standard may not be satisfied. Conversely, if it can be clearly determined that the colors are the background and the characters, only these two colors should be specially processed so as to satisfy the standard.

  In step S5, the colors obtained in step S4 are classified according to the information in the color characteristic database 13 in the same manner as in step S3 of the first embodiment. Here, the color characteristic database 13 of the second embodiment has the same information as the color characteristic database 3 of the first embodiment, and the description after step S5 is omitted.

  In step S6, as in the first embodiment, the color arrangement classification unit 14 obtains the color difference of the colors constituting the color arrangement, and performs the classification based on the color arrangement pattern as in the first embodiment (see FIG. 4). However, in addition to this processing, a separate color difference is calculated for the color of the background and characters deleted in step S4. For the calculation, the following color Lumi is obtained from the RGB values of the corresponding color code using two colors that are combinations of the background and the character.

Lumi. = 0.2126 * ((R / 255) ^ 2.2) +0.7152 * ((G / 255) ^ 2.2) +0.0722 * ((B / 255) ^ 2.2) ... ( Formula 1)
The color with the larger Lumi value is Lumi1, the color with the smaller Lumi value is Lumi2, and the color contrast value Cont. Is obtained by the following (Equation 2).

Cont. = (L1 + 0.05) / (L2 + 0.05) (Formula 2)
The color difference analysis information database 15 has information on this calculation formula.

  The classification of the color scheme in the image obtained in step S6 and the information on the color difference between the background and the character are sent to the color scheme conversion means 16.

  In step S7, the color arrangement conversion unit 16 converts the color arrangement according to the color arrangement pattern classification shown in FIG. However, since the color information of the background and characters is excluded in the second embodiment, there are many cases of Type III cases in which the information of white and black is not included.

  On the other hand, regarding the color difference of the combination of the background and the character obtained in step S6, the brightness is converted when the color contrast value Cont in Equation 2 is less than 5. For example, the brightness of one color is fixed, the brightness of one of the colors is converted, and the conversion is performed so as to increase the brightness difference between the colors.

  The conversion rule database 17 has the above conversion rules. The color conversion result obtained by this processing and the color conversion result of the background and characters are sent to the result output means 18.

  In step S8, the color arrangement conversion result obtained by the color arrangement conversion means 16 is received and the converted color is displayed. For example, the color conversion results obtained from the image can be displayed as color patches as examples of usable colors, and the background and text colors can be converted to HTML color codes and displayed. . Moreover, you may make it display as a sample of a background and a character. The color patch is a color sample having a sample color.

  In step S6, the color contrast calculation method and the reference value are those defined in WCAG 2.0, but other calculation methods and reference values may be used. In particular, the reference value can be changed to make the reference more strict.

Also, each of the above embodiments can be grasped as a program invention. In other words, the above embodiment is an example of a program that causes a computer to function as each means constituting the color arrangement conversion apparatus according to claim 1 .

100 ... color arrangement conversion device,
1 ... Image acquisition means,
2 ... Color scheme analysis means,
3 ... Color property database,
4 ... Color scheme classification means,
5 ... Color difference analysis information database,
6 ... Color scheme conversion means,
7 ... Conversion rule database,
8: Result output means.

Claims (2)

In color conversion of electronic images,
Image acquisition means for acquiring images;
A color characteristic database having classification information for classifying colors based on values of hue H, lightness L, and saturation C;
The RGB value of the acquired image is converted into an L * a * b * color system, and a C value representing saturation and an H value representing hue are obtained using the L * a * b * color system. Based on the classification information in the color characteristic database, the pixels of the image are classified into color regions, and three color regions having a large number of pixels are selected except for the white and black color regions, and the hues of the selected color regions are selected. A color arrangement analyzing means for determining a color arrangement type indicating whether the color arrangement is similar or different, based on the color arrangement;
Color arrangement classification means for further classifying the color arrangement type based on the information of the three color areas and the color arrangement type selected by the color arrangement analysis means and paying attention to the brightness of the color area;
A color difference analysis information database comprising information for the color arrangement classification means to analyze color differences;
Color arrangement conversion means for converting the color arrangement on the acquired image by changing a color difference according to the color arrangement type classified by the color arrangement classification means;
A conversion rule database comprising rules relating to color difference changes in the color arrangement conversion means;
A result output means for outputting the result of conversion of the color scheme;
A color arrangement conversion device characterized by comprising: A program for causing a computer to function as each means constituting the color arrangement conversion device according to claim 1 .

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