WO2016188021A1 - 颜色辨识***、颜色辨识方法和显示装置 - Google Patents

颜色辨识***、颜色辨识方法和显示装置 Download PDF

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Publication number
WO2016188021A1
WO2016188021A1 PCT/CN2015/092148 CN2015092148W WO2016188021A1 WO 2016188021 A1 WO2016188021 A1 WO 2016188021A1 CN 2015092148 W CN2015092148 W CN 2015092148W WO 2016188021 A1 WO2016188021 A1 WO 2016188021A1
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Prior art keywords
color
sub
information
recognized
module
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PCT/CN2015/092148
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English (en)
French (fr)
Inventor
李慧
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京东方科技集团股份有限公司
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Priority to EP15889434.5A priority Critical patent/EP3300024B1/en
Priority to US15/307,551 priority patent/US10204424B2/en
Publication of WO2016188021A1 publication Critical patent/WO2016188021A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
    • A61F9/00—Methods or devices for treatment of the eyes; Devices for putting-in contact lenses; Devices to correct squinting; Apparatus to guide the blind; Protective devices for the eyes, carried on the body or in the hand
    • A61F9/08—Devices or methods enabling eye-patients to replace direct visual perception by another kind of perception
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
    • G01J3/465—Measurement of colour; Colour measuring devices, e.g. colorimeters taking into account the colour perception of the eye; using tristimulus detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image

Definitions

  • the present disclosure relates to a color recognition system, a color recognition method, and a display device.
  • Color vision defects are a more common hereditary eye disease, which is often manifested by the inability to distinguish or identify certain colors. The reason is that there is a problem with the cone of color in the eye. In people's production and life, especially in the fields of transportation, medicine, textiles, instrumentation and fine arts, if the color cannot be correctly distinguished, it will bring great inconvenience.
  • the present invention is directed to the above technical problems existing in the prior art, and provides a color recognition system, a color recognition method, and a display device.
  • the color recognition system can assist the color defect defect to identify the color of the object, which greatly facilitates the production and life of the color vision defect, thereby greatly improving the quality of life of the color vision defect.
  • At least one embodiment of the present disclosure provides a color recognition system including a picture acquisition unit, a color analysis unit, and an information output unit;
  • the picture obtaining unit is connected to the color analyzing unit and the information output unit for acquiring a picture of an object to be recognized;
  • the color analysis unit is connected to the information output unit for extracting an outline of a pattern area of the object to be recognized in the picture, and analyzing a color of the pattern area to determine an overall of the object to be recognized Color information
  • the information output unit is configured to output overall color information of the object to be recognized.
  • the color analysis unit is configured to divide the object to be recognized in the picture into a plurality of sub-areas, analyzing and determining the color of each of the sub-areas, and then summarizing the color information of the sub-areas according to the pattern area in which the sub-areas are located to finally determine the overall color information of the object to be recognized;
  • the information output unit is further configured to output an outline of the pattern area of the object to be recognized.
  • the color analysis unit includes an extraction module, a division module, an analysis module, a comparison module, a storage module, and a summary module;
  • the extraction module is connected to the dividing module and the information output unit for extracting an outline of the pattern area;
  • the dividing module is connected to the analyzing module, and is configured to divide the object to be identified in the picture into multiple sub-areas;
  • the analyzing module is connected to the comparison module, configured to analyze and determine color parameters of each of the sub-areas;
  • the storage module is configured to store a sample color database, where the sample color database includes color parameters of all colors;
  • the comparison module is configured to connect the storage module, and the comparison module is configured to compare color parameters of each of the sub-regions with color parameters in the sample color database, and when the comparison result is consistent, the sub-region Corresponding color in the sample color database is determined as the color of the sub-region;
  • the summary module is connected to the comparison module, and is configured to perform color summarization on the sub-regions corresponding to the pattern area to determine color information of the pattern area, thereby finally determining an overall color of the object to be recognized. information.
  • the color parameters of the sub-region include hue, saturation, and brightness parameters
  • the sample color database includes hue, saturation, and brightness parameters for all colors in the hexagonal cone color model.
  • the pattern area of the object to be identified includes a plurality
  • the summary module includes a grouping sub-module and a statistics sub-module
  • the grouping sub-module is connected to the statistical sub-module
  • the grouping sub-module is configured to divide the sub-areas corresponding to each of the pattern areas into a plurality of first groups, wherein each of the first groups includes a plurality of the sub-areas adjacent to each other And also for using the first component corresponding to each of the pattern regions as a plurality of second groups, wherein each of the second groups includes a plurality of the first groups adjacent to each other;
  • the statistic sub-module is configured to perform statistics on color information of the sub-areas in each of the first groups, and determine color information whose statistical result exceeds a threshold as color information of the first group; And configured to perform statistics on the color information of the first group in each of the second groups, and determine color information whose statistical result exceeds the threshold is determined as color information of the second group;
  • the statistic sub-module is further configured to perform statistics on the color information of the second group in each of the pattern regions, and determine color information whose statistical result exceeds the threshold is determined as color information of the pattern region. .
  • the information output unit is connected to the statistics sub-module for outputting color information of each of the pattern regions in a text manner or a voice manner.
  • the background color of the object to be recognized in the picture is any color other than the first color, and the outline of the contour of the pattern area of the object to be recognized adopts the first color, and is used for a text indicating the color information of the pattern area is located in a background area of the object to be recognized and adopting the first color; the first color is a color recognizable by a color vision defect;
  • the information output unit is for displaying an outline of the outline.
  • a color collocation unit is further connected, the color collocation unit is connected to the storage module and the information output unit, and the storage module is further configured to store a color collocation scheme; Identifying color information of the pattern area of the object, and selecting a color matching scheme corresponding thereto in the storage module; the information output unit is further configured to output a color information corresponding to the pattern area of the object to be recognized The color matching scheme.
  • the color matching scheme includes multiple contrast color matching schemes, multiple coordinated color matching schemes, and multiple mainstream color matching schemes;
  • the sample color database includes a hexagonal cone color model, and the contrast color matching scheme is used to match colors in relative positions in the hexagonal cone color model or to position adjacent positions and relative positions in the hexagonal cone color model.
  • the color of the side is matched; the coordinated color matching scheme is used to match any two or two adjacent 2-4 colors in the hexagonal cone color model; the mainstream color matching scheme is the current popular color matching scheme.
  • the information output unit is configured to output the color matching scheme corresponding to the color information of the pattern area of the object to be recognized in a text plus picture manner or a voice plus picture manner.
  • At least one embodiment of the present disclosure also provides a display device including the above color recognition system.
  • At least one embodiment of the present disclosure also provides a color identification method, including:
  • it also includes:
  • the analyzing the color of the pattern area to determine the overall color information of the object to be recognized includes:
  • the analyzing and determining the color of each of the sub-areas includes, for example:
  • An analysis determines color parameters of each of the sub-regions
  • the color in the sample color database corresponding to the sub-region is determined as the color of the sub-region.
  • the color information of the sub-area is summarized according to the pattern area in which the sub-area is located, and finally determining the overall color information of the object to be recognized includes:
  • the pattern area of the object to be recognized includes a plurality, and the sub-areas corresponding to each of the pattern areas are divided into a plurality of first groups, wherein each of the first groups includes a plurality of each other Adjacent sub-regions;
  • the first component corresponding to each of the pattern regions is a plurality of second groups, wherein each of the second groups includes a plurality of the first groups adjacent to each other;
  • the color recognition system provided by at least one embodiment of the present disclosure can assist the color defect defect person to identify the color of the object by setting the picture acquisition unit, the color analysis unit, and the information output unit, thereby greatly facilitating the production and life of the color vision defect person. , thereby greatly improving the quality of life of people with defects in color vision.
  • the display device provided by at least one embodiment of the present disclosure can enable the display device to recognize the color of the object by the color defect defect by using the color recognition system, thereby greatly improving the quality of life of the person with color vision defects.
  • FIG. 1 is a schematic block diagram of a color recognition system in a first embodiment of the present disclosure
  • FIG. 3 is a specific flowchart of the second step S2 in FIG. 2.
  • FIG. 1 is a schematic block diagram of a color recognition system in the embodiment.
  • the color recognition system includes a picture acquisition unit 1, a color analysis unit 2, and an information output unit 3.
  • the picture acquisition unit 1 is connected to the color analysis unit 2 and the information output unit 3 for acquiring a picture of the object to be recognized.
  • the color analysis unit 2 is connected to the information output unit 3 for extracting a pattern area of the object to be recognized in the picture. The outline of the field and the color of the pattern area is analyzed to determine the overall color information of the object to be identified.
  • the information output unit 3 is for outputting overall color information of the object to be recognized.
  • the setting of the picture obtaining unit 1, the color analyzing unit 2 and the information output unit 3 can assist the color defect defect person to recognize the color of the object, which greatly facilitates the production and life of the color vision defect person, thereby greatly improving the color vision defect person. Quality of Life.
  • the color analysis unit 2 is configured to divide the object to be recognized in the picture into a plurality of sub-areas, analyze and determine the color of each sub-area, and then summarize the color information of the sub-area according to the pattern area in which the sub-area is located, to finally determine Identify the overall color information of the object.
  • the information output unit 3 is also used to output the contour of the pattern area of the object to be recognized. This enables the color vision defect to better identify the pattern area on the object to be identified.
  • the color analysis unit 2 includes an extraction module 21, a division module 22, an analysis module 23, a comparison module 24, a storage module 25, and a summary module 26.
  • the extraction module 21 is connected to the division module 22 and the information output unit 3 for extracting the outline of the pattern area of the object to be recognized in the picture; the information output unit 3 is for displaying the outline of the outline.
  • the dividing module 22 is connected to the analyzing module 23 for dividing the object to be recognized in the picture into a plurality of sub-areas having the same size and shape.
  • the analysis module 23 is connected to the comparison module 24 for analyzing and determining the color parameters of each sub-area.
  • the comparison module 24 is connected to a storage module 25 for storing a sample color database, the sample color database including color parameters of all colors.
  • the comparison module 24 is configured to compare the color parameters of the respective sub-regions with the color parameters in the sample color database, and when the comparison results are consistent, determine the color in the sample color database corresponding to the sub-region as the color of the sub-region.
  • the summary module 26 is connected to the comparison module 24 for color summarizing the sub-areas corresponding to the pattern area to determine the color information of the pattern area, thereby finally determining the overall color information of the object to be recognized.
  • the area of the sub-area is the size of the total area of 4-6 pixels.
  • the setting of the comparison module 24 enables accurate determination of the color of each sub-area to prepare for color information determination of the pattern area.
  • the setting of the summary module 26 can accurately determine the color information of the pattern area. Since the picture of the object to be recognized is divided into one or more pattern areas, the overall color of the object to be recognized is determined after the color information of the pattern area is determined. The information is also finalized. Wherein, the overall color information of the object to be identified refers to all the maps on the object to be identified The color information of the case area.
  • the color parameters of the sub-areas include hue, saturation, and brightness parameters.
  • the sample color database includes hue, saturation, and brightness parameters for all colors in the hexagonal cone color model.
  • the sample color database can store only a limited number of colors, such as a color ring storing 12 colors, which are white, red, orange, yellow, yellow-green, green, turquoise, blue. , blue-violet, purple, magenta, and black, but the hue, saturation, and brightness parameters of these colors cover the hue, saturation, and brightness parameters of all colors, ie, all colors are ultimately based on their hue, saturation, and brightness parameters. Classified as these colors. In this way, it is ensured that the color recognition system can recognize any color, so that the color recognition system does not have a color identification dead zone, thereby making the color recognition function of the color recognition system more powerful.
  • the pattern area of the object to be recognized includes a plurality
  • the summary module 26 includes a grouping sub-module 261 and a statistic sub-module 262, and the grouping sub-module 261 and the statistic sub-module 262 are connected;
  • the grouping sub-module 261 is configured to be located corresponding to each
  • the sub-regions within the pattern regions are divided into a plurality of first groups, wherein each of the first groups includes a plurality of sub-regions adjacent to each other; and is further configured to have a plurality of first components corresponding to each of the pattern regions A second group, wherein each second group comprises a plurality of first groups adjacent to each other.
  • the statistic sub-module 262 is configured to perform statistics on the color information of the sub-areas in each of the first groups, and determine the color information whose statistical result exceeds the threshold as the color information of the first group; The color information of the first group in the group is counted, and the color information whose statistical result exceeds the threshold is determined as the color information of the second group; the statistical sub-module 262 is also used for the second group in each pattern area. The color information is counted, and the color information whose statistical result exceeds the threshold is determined as the color information of the pattern area.
  • the more the number of sub-regions in each first group the more accurate the analysis result of the color information of each first group.
  • the more the number of the first group in each of the second groups the more accurate the analysis result of the color information of each of the second groups.
  • the more accurate the analysis result of the color information of each second group the more accurate the analysis result of the color information of each pattern area.
  • 5-9 sub-areas are divided into a first group, and 3-6 first components are a second group.
  • the threshold is 70%-90% of the statistical result, that is, a certain proportion of the statistical results of the color information of each first group is reached.
  • a color of the color information of each second group is 70%-90% or more, and the color is finally determined as the one.
  • the color of the second group a color having a ratio of 70% to 90% or more in the statistical result of the color information of each pattern region is finally determined as the color of the pattern region.
  • the analysis result of the color information of each pattern area can be more accurate, thereby making the color recognition function of the color recognition system more powerful, and better assisting the color defect defector to the color. Identify.
  • the information output unit 3 is connected to the statistical sub-module 262 for outputting the color information of each pattern area in a text manner, thereby greatly facilitating the identification of the overall color of the object to be recognized by the color vision defect.
  • the information output unit 3 may also output the color information of each pattern area in a voice manner, thereby assisting the color defect defect to identify the overall color of the object to be recognized.
  • the background color of the object to be recognized in the picture adopts any color other than the first color
  • the outline of the outline of the pattern area of the object to be recognized adopts the first color
  • the text for displaying the color information of the pattern area is located. Identify the background area of the object and use the first color.
  • the first color is a color that can be recognized by a person with a color vision defect.
  • the information output unit 3 is for displaying the outline of the outline.
  • the background color of the object to be recognized in the picture is any color other than black, and the outline of the object to be recognized and the contour of the outline of each pattern area on the object to be recognized are black, and the text for displaying the color information of each pattern area is used. Located in the background area of the object to be recognized and in black.
  • the outline of the object to be recognized and the outline of the outline of each pattern area on the object to be recognized are white, for displaying each pattern area.
  • the text of the color information is located in the background area of the object to be recognized and is white.
  • the color vision defect is usually recognizable to black and white
  • the background color is not black
  • the outline of the pattern area, the overall outline of the object to be recognized, and the text displaying the color information are black
  • the background color is not In the case of white
  • the contour of the pattern area, the overall outline of the object to be recognized, and the text displaying the color information are white, so that the color defect is easily recognized by the characters and contour lines.
  • the characters corresponding to the color information corresponding to the respective pattern regions are directed to the respective pattern regions by arrows, wherein the arrows and the characters adopt the same color.
  • characters corresponding to the color information of each pattern area may be correspondingly identified in each pattern area, but if the color of the pattern area is black, the color of the text may not be black. In this case, the color of the text may be Use white. If the color of the pattern area is white, the color of the text cannot be white. In this case, the color of the text can be black. If the color of the pattern area is other than black and white, the color of the text can be black or white. This makes it easy for the person with color vision defects to recognize the color of the pattern area by the text.
  • the color recognition system further includes a color matching unit 4, and the color matching unit 4 is connected to the storage module 25 and the information output unit 3.
  • the storage module 25 is further configured to store a color matching scheme.
  • the color matching unit 4 is configured to select a color matching scheme corresponding thereto according to the color information of the at least one pattern area of the object to be recognized.
  • the information output unit 3 is further configured to output a color matching scheme corresponding to color information of at least one pattern region of the object to be recognized. That is, the color collocation unit 4 can select the color collocation scheme according to the color information of any one of the pattern regions on the object to be recognized, and can also according to the color information of any of the pattern regions on the object to be recognized or the overall color of the object to be recognized. Information is selected for color matching schemes.
  • the setting of the color matching unit 4 can improve the color matching experience of the color vision defect person, and make the life of the color vision defect person more colorful.
  • the color matching scheme includes multiple contrast color matching schemes, multiple coordinated color matching schemes, and multiple mainstream color matching schemes.
  • the sample color database includes a hexagonal cone color model, and the contrast color matching scheme is used to match the colors in the hexagonal cone color model at relative positions or to perform colors in the hexagonal cone color model at opposite positions and relative positions adjacent to each other. Match.
  • the coordinated color matching scheme is used to match any two or two adjacent 2-4 colors in the hexagonal cone color model.
  • the mainstream color matching scheme is the current popular color matching scheme. The setting of multiple color matching schemes can enrich the experience of color matching of color defects.
  • the information output unit 3 is configured to output a color matching scheme corresponding to the color information of at least one pattern region of the object to be recognized in a text plus picture manner.
  • the information output unit 3 may also output a color matching scheme corresponding to the color information of at least one pattern region of the object to be recognized in a voice plus picture manner. Therefore, it is convenient for the color vision scheme to identify the color matching scheme and Experience.
  • the embodiment further provides a color identification method, as shown in FIG. 2 and FIG. 3, including:
  • Step S1 Acquire a picture of the object to be identified.
  • a picture of the object to be recognized may be taken by using a mobile device such as a mobile phone or a palm computer with a built-in color recognition system.
  • Step S2 extracting the contour of the pattern area of the object to be recognized in the picture, and analyzing the color of the pattern area to determine the overall color information of the object to be recognized.
  • the color of each pattern area is analyzed, and the overall color information of the object to be identified is determined to include:
  • Step S21 Divide the object to be recognized in the picture into a plurality of sub-areas.
  • Step S22 analyzing and determining the color of each sub-area.
  • the step includes, for example, analyzing and determining color parameters of each sub-region; comparing color parameters of the respective sub-regions with color parameters in the stored sample color database; and when the comparison results are consistent, the sample color database corresponding to the sub-regions The color is determined to be the color of the sub-area.
  • Step S23 The color information of the sub-areas is summarized according to the pattern area in which the sub-area is located, and finally the overall color information of the object to be recognized is finally determined.
  • the step includes, for example, that the pattern area of the object to be recognized includes a plurality, and the sub-areas corresponding to each of the pattern areas are divided into a plurality of first groups, wherein each of the first groups includes a plurality of sub-areas adjacent to each other .
  • the first component corresponding to each of the pattern regions is a plurality of second groups, wherein each of the second groups includes a plurality of first groups adjacent to each other.
  • the color information of the sub-areas in each of the first groups is counted, and the color information whose statistical result exceeds the threshold is determined as the color information of the first group.
  • the color information of the first group in each of the second groups is counted, and the color information whose statistical result exceeds the threshold is determined as the color information of the second group.
  • the color information of the second group in each pattern area is counted, and the color information whose statistical result exceeds the threshold is determined as the color information of the pattern area.
  • the overall color information of the object to be recognized is finally determined.
  • Step S3 output the overall color information of the object to be recognized.
  • This step also includes outputting an outline of a pattern area of the object to be recognized.
  • the color identification method further includes step S4: selecting a color matching scheme corresponding to the color matching information of the at least one pattern region of the object to be recognized in the stored color matching scheme.
  • Step S5 output a color matching scheme corresponding to color information of at least one pattern region of the object to be recognized.
  • the color recognition system provided in Embodiment 1 can assist the color defect defect person to recognize the color of the object by setting the picture acquisition unit, the color analysis unit, and the information output unit, thereby greatly facilitating the color vision.
  • the production and life of the defective person greatly improves the quality of life of those with color vision defects.
  • This embodiment provides a display device including the color recognition system in the first embodiment.
  • the display device can assist the color defect defect person to recognize and match the color of the object, thereby greatly improving the quality of life of the color vision defect person.

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Abstract

一种颜色辨识***、颜色辨识方法和显示装置。该颜色辨识***包括图片获取单元(1)、颜色分析单元(2)和信息输出单元(3)；图片获取单元(1)用于获取待辨识物体的图片；颜色分析单元(2)用于提取图片中待辨识物体的图案区域的轮廓，并对图案区域的颜色进行分析，以确定待辨识物体的整体颜色信息；信息输出单元(3)用于输出待辨识物体的整体颜色信息。该颜色辨识***能够辅助色觉缺陷者对物体的颜色进行辨识，极大地方便了色觉缺陷者的生产和生活，从而极大地提高了色觉缺陷者的生活质量。

Description

颜色辨识***、颜色辨识方法和显示装置 技术领域
本公开涉及一种颜色辨识***、颜色辨识方法和显示装置。
背景技术
色觉缺陷是一种较为常见的遗传性眼部疾病，多表现为不能区分或识别某些颜色。其原因是眼部色觉锥状细胞出现问题。在人们的生产生活中，特别是交通、医学、纺织、仪表及美术等领域，如果不能正确地分辨出颜色，将会带来极大的不便。
由于辨色能力的缺陷，部分色觉缺陷患者在购物时具有很大的困扰。他们无法进行颜色辨识，相应地对自己选择的衣服搭配不自信。因此，搭建一套辅助色觉缺陷者的颜色辨识***是十分有必要的，这样有利于他们生活质量的提高。
发明内容
本发明针对现有技术中存在的上述技术问题，提供一种颜色辨识***、颜色辨识方法和显示装置。该颜色辨识***能够辅助色觉缺陷者对物体的颜色进行辨识，极大地方便了色觉缺陷者的生产和生活，从而极大地提高了色觉缺陷者的生活质量。
本公开的至少一个实施例提供一种颜色辨识***，包括图片获取单元、颜色分析单元和信息输出单元；
所述图片获取单元连接所述颜色分析单元和所述信息输出单元，用于获取待辨识物体的图片；
所述颜色分析单元连接所述信息输出单元，用于提取所述图片中所述待辨识物体的图案区域的轮廓，并对所述图案区域的颜色进行分析，以确定所述待辨识物体的整体颜色信息；
所述信息输出单元用于输出所述待辨识物体的整体颜色信息。
可选地，所述颜色分析单元用于将所述图片中的所述待辨识物体划分为 多个子区域，对各个所述子区域的颜色进行分析和确定，然后对所述子区域的颜色信息按照其所在的所述图案区域进行汇总，以最终确定所述待辨识物体的整体颜色信息；
所述信息输出单元还用于输出所述待辨识物体的所述图案区域的轮廓。
可选地，所述颜色分析单元包括提取模块、划分模块、分析模块、比较模块、存储模块和汇总模块；
所述提取模块连接所述划分模块和所述信息输出单元，用于提取所述图案区域的轮廓；
所述划分模块连接所述分析模块，用于将所述图片中的所述待辨识物体划分为多个子区域；
所述分析模块连接所述比较模块，用于对各个所述子区域的颜色参数进行分析确定；
所述存储模块用于存储样本颜色数据库，所述样本颜色数据库包括所有颜色的颜色参数；
所述比较模块连接所述存储模块，所述比较模块用于将各个所述子区域的颜色参数与所述样本颜色数据库中的颜色参数进行比较，在比较结果一致时，将与所述子区域对应的所述样本颜色数据库中的颜色确定为该所述子区域的颜色；
所述汇总模块连接所述比较模块，用于将对应位于所述图案区域内的所述子区域进行颜色汇总，以确定所述图案区域的颜色信息，从而最终确定所述待辨识物体的整体颜色信息。
可选地，所述子区域的颜色参数包括色调、饱和度和亮度参数；
所述样本颜色数据库包括六角锥体颜色模型中所有颜色的色调、饱和度和亮度参数。
可选地，所述待辨识物体的所述图案区域包括多个，所述汇总模块包括分组子模块和统计子模块，所述分组子模块和所述统计子模块连接；
所述分组子模块用于将对应位于每个所述图案区域内的所述子区域分为多个第一组，其中，每个所述第一组包括多个彼此相邻的所述子区域；还用于将对应位于每个所述图案区域内的所述第一组分为多个第二组，其中，每个所述第二组包括多个彼此相邻的所述第一组；
所述统计子模块用于对每个所述第一组中的所述子区域的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个所述第一组的颜色信息；还用于对每个所述第二组中的所述第一组的颜色信息进行统计，并将统计结果超过所述阈值的颜色信息确定为该个所述第二组的颜色信息；
所述统计子模块还用于对每个所述图案区域内的所述第二组的颜色信息进行统计，并将统计结果超过所述阈值的颜色信息确定为该个所述图案区域的颜色信息。
可选地，所述信息输出单元连接所述统计子模块，用于以文字方式或语音方式输出各个所述图案区域的颜色信息。
可选地，所述图片中所述待辨识物体的背景颜色采用除第一颜色以外的任意颜色，所述待辨识物体的所述图案区域的轮廓的轮廓线采用所述第一颜色，用于显示所述图案区域颜色信息的文字位于所述待辨识物体的背景区域且采用所述第一颜色；所述第一颜色为色觉缺陷者能够辨识的颜色；
所述信息输出单元用于显示所述轮廓的轮廓线。
可选地，还包括颜色搭配单元，所述颜色搭配单元连接所述存储模块和所述信息输出单元，所述存储模块还用于存储颜色搭配方案；所述颜色搭配单元用于根据所述待辨识物体的所述图案区域的颜色信息在所述存储模块中选择与其对应的颜色搭配方案；所述信息输出单元还用于输出与所述待辨识物体的所述图案区域的颜色信息相对应的所述颜色搭配方案。
可选地，所述颜色搭配方案包括多个对比色搭配方案、多个协调色搭配方案和多个主流颜色搭配方案；
所述样本颜色数据库包括六角锥体颜色模型，所述对比色搭配方案用于将六角锥体颜色模型中处于相对位置的颜色进行搭配或者将六角锥体颜色模型中处于相对位置及相对位置相邻两侧的颜色进行搭配；所述协调色搭配方案用于将六角锥体颜色模型中任意两两相邻的2-4种颜色进行搭配；所述主流颜色搭配方案为当前流行的颜色搭配方案。
可选地，所述信息输出单元用于以文字加图片方式或者语音加图片方式输出与所述待辨识物体的所述图案区域的颜色信息相对应的所述颜色搭配方案。
本公开的至少一个实施例还提供一种显示装置，包括上述颜色辨识***。
本公开的至少一个实施例还提供一种颜色辨识方法，包括：
获取待辨识物体的图片；
提取所述图片中所述待辨识物体的图案区域的轮廓，并对所述图案区域的颜色进行分析，确定所述待辨识物体的整体颜色信息；
输出所述待辨识物体的整体颜色信息。
可选地，还包括：
输出所述待辨识物体的所述图案区域的轮廓；
所述对所述图案区域的颜色进行分析，确定所述待辨识物体的整体颜色信息包括：
将所述图片中的所述待辨识物体划分为多个子区域；对各个所述子区域的颜色进行分析和确定；然后对所述子区域的颜色信息按照其所在的所述图案区域进行汇总，最终确定所述待辨识物体的整体颜色信息。
可选地，所述对各个所述子区域的颜色进行分析和确定例如包括：
分析确定各个所述子区域的颜色参数；
将各个所述子区域的颜色参数与存储的样本颜色数据库中的颜色参数进行比较；
在比较结果一致时，将与所述子区域对应的所述样本颜色数据库中的颜色确定为该所述子区域的颜色。
可选地，所述对所述子区域的颜色信息按照其所在的所述图案区域进行汇总，最终确定所述待辨识物体的整体颜色信息例如包括：
所述待辨识物体的所述图案区域包括多个，将对应位于每个所述图案区域内的所述子区域分为多个第一组，其中，每个所述第一组包括多个彼此相邻的所述子区域；
将对应位于每个所述图案区域内的所述第一组分为多个第二组，其中，每个所述第二组包括多个彼此相邻的所述第一组；
对每个所述第一组中的所述子区域的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个所述第一组的颜色信息；
对每个所述第二组中的所述第一组的颜色信息进行统计，并将统计结果超过所述阈值的颜色信息确定为该个所述第二组的颜色信息；
对每个所述图案区域内的所述第二组的颜色信息进行统计，并将统计结 果超过所述阈值的颜色信息确定为该个所述图案区域的颜色信息。
可选地，还包括
根据所述待辨识物体的所述图案区域的颜色信息在存储的颜色搭配方案中选择与其对应的颜色搭配方案；
输出与所述待辨识物体的所述图案区域的颜色信息相对应的所述颜色搭配方案。
本公开至少一个实施例所提供的颜色辨识***，通过设置图片获取单元、颜色分析单元和信息输出单元，能够辅助色觉缺陷者对物体的颜色进行辨识，极大地方便了色觉缺陷者的生产和生活，从而极大地提高了色觉缺陷者的生活质量。
本公开至少一个实施例所提供的显示装置，通过采用上述颜色辨识***，使该显示装置能够辅助色觉缺陷者对物体的颜色进行辨识，从而极大地提高了色觉缺陷者的生活质量。
附图说明
图1为本公开第一实施例中颜色辨识***的原理框图；
图2为本公开第一实施例中颜色辨识方法的流程图；
图3为图2中第二步骤S2的具体流程图。
具体实施方式
为使本领域的技术人员更好地理解本公开的技术方案，下面结合附图和具体实施方式对本公开所提供的一种颜色辨识***、颜色辨识方法和显示装置作进一步详细描述。
第一实施例：
本实施例提供一种颜色辨识***，用于辅助色觉缺陷者对物体的颜色进行辨识，图1为本实施例中颜色辨识***的原理框图。如图1所示，该颜色辨识***包括图片获取单元1、颜色分析单元2和信息输出单元3。图片获取单元1连接颜色分析单元2和信息输出单元3，用于获取待辨识物体的图片。颜色分析单元2连接信息输出单元3，用于提取图片中待辨识物体的图案区 域的轮廓，并对图案区域的颜色进行分析，以确定待辨识物体的整体颜色信息。信息输出单元3用于输出待辨识物体的整体颜色信息。
图片获取单元1、颜色分析单元2和信息输出单元3的设置，能够辅助色觉缺陷者对物体的颜色进行辨识，极大地方便了色觉缺陷者的生产和生活，从而极大地提高了色觉缺陷者的生活质量。
颜色分析单元2用于将图片中的待辨识物体划分为多个子区域，对各个子区域的颜色进行分析和确定，然后对子区域的颜色信息按照其所在的图案区域进行汇总，以最终确定待辨识物体的整体颜色信息。信息输出单元3还用于输出待辨识物体的图案区域的轮廓。如此能使色觉缺陷者对待辨识物体上的图案区域进行更好的辨识。
本实施例中，颜色分析单元2包括提取模块21、划分模块22、分析模块23、比较模块24、存储模块25和汇总模块26。提取模块21连接划分模块22和信息输出单元3，用于提取图片中待辨识物体的图案区域的轮廓；信息输出单元3用于显示轮廓的轮廓线。划分模块22连接分析模块23，用于将图片中的待辨识物体划分为多个大小形状均相同的子区域。分析模块23连接比较模块24，用于对各个子区域的颜色参数进行分析确定。比较模块24连接存储模块25，存储模块25用于存储样本颜色数据库，样本颜色数据库包括所有颜色的颜色参数。比较模块24用于将各个子区域的颜色参数与样本颜色数据库中的颜色参数进行比较，在比较结果一致时，将与子区域对应的样本颜色数据库中的颜色确定为该子区域的颜色。汇总模块26连接比较模块24，用于将对应位于图案区域内的子区域进行颜色汇总，以确定图案区域的颜色信息，从而最终确定待辨识物体的整体颜色信息。
需要说明的是，子区域的面积越小(即子区域划分的越小)，则待辨识物体的整体颜色信息分析越精确。本实施例中，子区域的面积为4-6个像素的总面积的大小。
比较模块24的设置，能够对各个子区域的颜色进行准确的确定，从而为图案区域的颜色信息确定做好准备。汇总模块26的设置，能够对图案区域的颜色信息进行准确的确定，由于待辨识物体的图片被划分为一个或多个图案区域，所以当图案区域的颜色信息确定之后，待辨识物体的整体颜色信息也最终确定。其中，待辨识物体的整体颜色信息指的就是待辨识物体上所有图 案区域的颜色信息。
子区域的颜色参数包括色调、饱和度和亮度参数。样本颜色数据库包括六角锥体颜色模型中所有颜色的色调、饱和度和亮度参数。通过将每个子区域的颜色参数与六角锥体颜色模型中所有颜色的颜色参数进行比较来确定每个子区域的颜色，能够提高子区域颜色的分析精度，使最终确定的子区域的颜色更加精准，从而提高了该颜色辨识***的颜色辨识精度。
需要说明的是，样本颜色数据库中可以只存储有限的几种颜色，如存储12种颜色的色环，该12种颜色为白色、红色、橙色、黄色、黄绿色、绿色、青绿色、蓝色、蓝紫色、紫色、***和黑色，但这几种颜色的色调、饱和度和亮度参数覆盖了所有颜色的色调、饱和度和亮度参数，即将所有颜色根据其色调、饱和度和亮度参数最终归类为这几种颜色。如此设置，确保该颜色辨识***对任何颜色都能够识别，从而使该颜色辨识***不会存在颜色辨识盲区，进而使该颜色辨识***的颜色辨识功能更加强大。
本实施例中，待辨识物体的图案区域包括多个，汇总模块26包括分组子模块261和统计子模块262，分组子模块261和统计子模块262连接；分组子模块261用于将对应位于每个图案区域内的子区域分为多个第一组，其中，每个第一组包括多个彼此相邻的子区域；还用于将对应位于每个图案区域内的第一组分为多个第二组，其中，每个第二组包括多个彼此相邻的第一组。统计子模块262用于对每个第一组中的子区域的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个第一组的颜色信息；还用于对每个第二组中的第一组的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个第二组的颜色信息；统计子模块262还用于对每个图案区域内的第二组的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个图案区域的颜色信息。
需要说明的是，每个第一组中的子区域的个数越多，则每个第一组的颜色信息的分析结果越精确。同样，每个第二组中的第一组的个数越多，则每个第二组的颜色信息的分析结果越精确。每个第二组的颜色信息的分析结果越精确，则每个图案区域的颜色信息的分析结果越精确。本实施例中，将5-9个子区域分为一个第一组，将3-6个第一组分为一个第二组。其中，阈值为统计结果的70％-90％，即各个第一组的颜色信息的统计结果中某个占比达到 70％-90％以上的颜色被最终确定为该个第一组的颜色；各个第二组的颜色信息的统计结果中某个占比达到70％-90％以上的颜色被最终确定为该个第二组的颜色；各个图案区域的颜色信息的统计结果中某个占比达到70％-90％以上的颜色被最终确定为该个图案区域的颜色。
通过上述分组子模块261和统计子模块262的设置，能使各个图案区域的颜色信息的分析结果更加精确，从而使该颜色辨识***的颜色辨识功能更加强大，更好地辅助色觉缺陷者对颜色进行辨识。
本实施例中，信息输出单元3连接统计子模块262，用于以文字方式输出各个图案区域的颜色信息，从而大大方便了色觉缺陷者对待辨识物体整体颜色的辨识。
需要说明的是，信息输出单元3也可以以语音方式输出各个图案区域的颜色信息，从而辅助色觉缺陷者对待辨识物体的整体颜色进行辨识。
本实施例中，图片中待辨识物体的背景颜色采用除第一颜色以外的任意颜色，待辨识物体的图案区域的轮廓的轮廓线采用第一颜色，用于显示图案区域颜色信息的文字位于待辨识物体的背景区域且采用第一颜色。其中，第一颜色为色觉缺陷者能够辨识的颜色。信息输出单元3用于显示轮廓的轮廓线。
例如：图片中待辨识物体的背景颜色采用除黑色以外的任意颜色，待辨识物体的整体轮廓和待辨识物体上各个图案区域的轮廓的轮廓线采用黑色，用于显示各个图案区域颜色信息的文字位于待辨识物体的背景区域且采用黑色。
另外，例如，如果图片中待辨识物体的背景颜色采用除白色以外的任意颜色，则待辨识物体的整体轮廓和待辨识物体上各个图案区域的轮廓的轮廓线采用白色，用于显示各个图案区域颜色信息的文字位于待辨识物体的背景区域且采用白色。
因为色觉缺陷者对黑色和白色通常都能够辨识，所以在背景颜色不采用黑色的情况下，图案区域的轮廓线、待辨识物体的整体轮廓线以及显示颜色信息的文字采用黑色；在背景颜色不采用白色的情况下，图案区域的轮廓线、待辨识物体的整体轮廓线以及显示颜色信息的文字采用白色，如此设置，便于色觉缺陷者通过文字和轮廓线对各个图案区域的颜色进行辨识。
需要说明的是，各个图案区域所对应的显示其颜色信息的文字通过箭头指向各个图案区域，其中，箭头与文字采用相同的颜色。
另外，还可以将对应显示各个图案区域的颜色信息的文字相应地标识到各个图案区域内，但如果图案区域的颜色为黑色，则文字的颜色不能采用黑色，这种情况下，文字的颜色可以采用白色。如果图案区域的颜色为白色，则文字的颜色不能采用白色，这种情况下，文字的颜色可以采用黑色。如果图案区域的颜色为除黑色和白色以外的其他颜色，则文字的颜色可以采用黑色，也可以采用白色。如此便于色觉缺陷者通过文字对图案区域的颜色进行识别。
本实施例中，颜色辨识***还包括颜色搭配单元4，颜色搭配单元4连接存储模块25和信息输出单元3，存储模块25还用于存储颜色搭配方案。颜色搭配单元4用于根据待辨识物体的至少一个图案区域的颜色信息在存储模块25中选择与其对应的颜色搭配方案。信息输出单元3还用于输出与待辨识物体的至少一个图案区域的颜色信息相对应的颜色搭配方案。即颜色搭配单元4既能够根据待辨识物体上的任意一个图案区域的颜色信息进行颜色搭配方案的选择，也能够根据待辨识物体上的任意几个图案区域的颜色信息或者待辨识物体的整体颜色信息进行颜色搭配方案的选择。
颜色搭配单元4的设置，能够改善色觉缺陷者对颜色搭配的体验，使色觉缺陷者的生活更加丰富多彩。
本实施例中，颜色搭配方案包括多个对比色搭配方案、多个协调色搭配方案和多个主流颜色搭配方案。样本颜色数据库包括六角锥体颜色模型，对比色搭配方案用于将六角锥体颜色模型中处于相对位置的颜色进行搭配或者将六角锥体颜色模型中处于相对位置及相对位置相邻两侧的颜色进行搭配。协调色搭配方案用于将六角锥体颜色模型中任意两两相邻的2-4种颜色进行搭配。主流颜色搭配方案为当前流行的颜色搭配方案。多种颜色搭配方案的设置，能够更加丰富色觉缺陷者对颜色搭配的体验。
本实施例中，信息输出单元3用于以文字加图片方式输出与待辨识物体的至少一个图案区域的颜色信息相对应的颜色搭配方案。当然，信息输出单元3也可以以语音加图片方式输出与待辨识物体的至少一个图案区域的颜色信息相对应的颜色搭配方案。从而方便色觉缺陷者对颜色搭配方案的辨识和 体验。
基于上述颜色辨识***，本实施例还提供一种颜色辨识方法，如图2和图3所示，包括：
步骤S1：获取待辨识物体的图片。
该步骤中，可以采用内置有颜色辨识***的移动设备如手机或掌上电脑等)拍摄待辨识物体的图片。
步骤S2：提取图片中待辨识物体的图案区域的轮廓，并对图案区域的颜色进行分析，确定待辨识物体的整体颜色信息。
该步骤中，对各个图案区域的颜色进行分析，确定待辨识物体的整体颜色信息包括：
步骤S21：将图片中的待辨识物体划分为多个子区域。
步骤S22：对各个子区域的颜色进行分析和确定。
该步骤例如包括：分析确定各个子区域的颜色参数；将各个子区域的颜色参数与存储的样本颜色数据库中的颜色参数进行比较；在比较结果一致时，将与子区域对应的样本颜色数据库中的颜色确定为该子区域的颜色。
步骤S23：对子区域的颜色信息按照其所在的图案区域进行汇总，最终确定待辨识物体的整体颜色信息。
该步骤例如包括：待辨识物体的图案区域包括多个，将对应位于每个图案区域内的子区域分为多个第一组，其中，每个第一组包括多个彼此相邻的子区域。将对应位于每个图案区域内的第一组分为多个第二组，其中，每个第二组包括多个彼此相邻的第一组。对每个第一组中的子区域的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个第一组的颜色信息。对每个第二组中的第一组的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个第二组的颜色信息。对每个图案区域内的第二组的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个图案区域的颜色信息。
在各个图案区域的颜色信息确定之后，待辨识物体的整体颜色信息就最终确定了。
步骤S3：输出待辨识物体的整体颜色信息。
该步骤还包括输出待辨识物体的图案区域的轮廓。
通过上述步骤S1-S3，能够辅助色觉缺陷者对物体的颜色进行辨识，从而极大地方便了色觉缺陷者的生产或生活。
本实施例中，颜色辨识方法还包括步骤S4：根据待辨识物体的至少一个图案区域的颜色信息在存储的颜色搭配方案中选择与其对应的颜色搭配方案。
步骤S5：输出与待辨识物体的至少一个图案区域的颜色信息相对应的颜色搭配方案。
通过上述步骤S4-S5，能够改善色觉缺陷者对颜色搭配的体验，使色觉缺陷者的生活更加丰富多彩。
第一实施例的有益效果：实施例1中所提供的颜色辨识***，通过设置图片获取单元、颜色分析单元和信息输出单元，能够辅助色觉缺陷者对物体的颜色进行辨识，极大地方便了色觉缺陷者的生产和生活，从而极大地提高了色觉缺陷者的生活质量。
第二实施例：
本实施例提供一种显示装置，包括第一实施例中的颜色辨识***。
通过采用第一实施例中的颜色辨识***，使该显示装置能够辅助色觉缺陷者对物体的颜色进行辨识和搭配，从而极大地提高了色觉缺陷者的生活质量。
可以理解的是，以上实施方式仅仅是为了说明本发明的原理而采用的示例性实施方式，然而本发明并不局限于此。对于本领域内的普通技术人员而言，在不脱离本发明的精神和实质的情况下，可以做出各种变型和改进，这些变型和改进也视为本发明的保护范围。
本申请要求于2015年5月22日递交的中国专利申请第201510266796.X号的优先权，在此全文引用上述中国专利申请公开的内容以作为本申请的一部分。

Claims (16)

  1. 一种颜色辨识***，包括图片获取单元、颜色分析单元和信息输出单元；
    所述图片获取单元连接所述颜色分析单元和所述信息输出单元，用于获取待辨识物体的图片；
    所述颜色分析单元连接所述信息输出单元，用于提取所述图片中所述待辨识物体的图案区域的轮廓，并对所述图案区域的颜色进行分析，以确定所述待辨识物体的整体颜色信息；
    所述信息输出单元用于输出所述待辨识物体的整体颜色信息。
  2. 根据权利要求1所述的颜色辨识***，其中，所述颜色分析单元用于将所述图片中的所述待辨识物体划分为多个子区域，对各个所述子区域的颜色进行分析和确定，然后对所述子区域的颜色信息按照其所在的所述图案区域进行汇总，以最终确定所述待辨识物体的整体颜色信息；
    所述信息输出单元还用于输出所述待辨识物体的所述图案区域的轮廓。
  3. 根据权利要求2所述的颜色辨识***，其中，所述颜色分析单元包括提取模块、划分模块、分析模块、比较模块、存储模块和汇总模块；
    所述提取模块连接所述划分模块和所述信息输出单元，用于提取所述图案区域的轮廓；
    所述划分模块连接所述分析模块，用于将所述图片中的所述待辨识物体划分为多个子区域；
    所述分析模块连接所述比较模块，用于对各个所述子区域的颜色参数进行分析确定；
    所述存储模块用于存储样本颜色数据库，所述样本颜色数据库包括所有颜色的颜色参数；
    所述比较模块连接所述存储模块，所述比较模块用于将各个所述子区域的颜色参数与所述样本颜色数据库中的颜色参数进行比较，在比较结果一致时，将与所述子区域对应的所述样本颜色数据库中的颜色确定为该所述子区域的颜色；
    所述汇总模块连接所述比较模块，用于将对应位于所述图案区域内的所 述子区域进行颜色汇总，以确定所述图案区域的颜色信息，从而最终确定所述待辨识物体的整体颜色信息。
  4. 根据权利要求3所述的颜色辨识***，其中，所述子区域的颜色参数包括色调、饱和度和亮度参数；
    所述样本颜色数据库包括六角锥体颜色模型中所有颜色的色调、饱和度和亮度参数。
  5. 根据权利要求3或4所述的颜色辨识***，其中，所述待辨识物体的所述图案区域包括多个，所述汇总模块包括分组子模块和统计子模块，所述分组子模块和所述统计子模块连接；
    所述分组子模块用于将对应位于每个所述图案区域内的所述子区域分为多个第一组，其中，每个所述第一组包括多个彼此相邻的所述子区域；还用于将对应位于每个所述图案区域内的所述第一组分为多个第二组，其中，每个所述第二组包括多个彼此相邻的所述第一组；
    所述统计子模块用于对每个所述第一组中的所述子区域的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个所述第一组的颜色信息；还用于对每个所述第二组中的所述第一组的颜色信息进行统计，并将统计结果超过所述阈值的颜色信息确定为该个所述第二组的颜色信息；
    所述统计子模块还用于对每个所述图案区域内的所述第二组的颜色信息进行统计，并将统计结果超过所述阈值的颜色信息确定为该个所述图案区域的颜色信息。
  6. 根据权利要求5所述的颜色辨识***，其中，所述信息输出单元连接所述统计子模块，用于以文字方式或语音方式输出各个所述图案区域的颜色信息。
  7. 根据权利要求3至6中任一项所述的颜色辨识***，其中，所述图片中所述待辨识物体的背景颜色采用除第一颜色以外的任意颜色，所述待辨识物体的所述图案区域的轮廓的轮廓线采用所述第一颜色，用于显示所述图案区域颜色信息的文字位于所述待辨识物体的背景区域且采用所述第一颜色；所述第一颜色为色觉缺陷者能够辨识的颜色；
    所述信息输出单元用于显示所述轮廓的轮廓线。
  8. 根据权利要求3至7中任一项所述的颜色辨识***，其中，还包括颜 色搭配单元，所述颜色搭配单元连接所述存储模块和所述信息输出单元，所述存储模块还用于存储颜色搭配方案；所述颜色搭配单元用于根据所述待辨识物体的所述图案区域的颜色信息在所述存储模块中选择与其对应的颜色搭配方案；所述信息输出单元还用于输出与所述待辨识物体的所述图案区域的颜色信息相对应的所述颜色搭配方案。
  9. 根据权利要求8所述的颜色辨识***，其中，所述颜色搭配方案包括多个对比色搭配方案、多个协调色搭配方案和多个主流颜色搭配方案；
    所述样本颜色数据库包括六角锥体颜色模型，所述对比色搭配方案用于将六角锥体颜色模型中处于相对位置的颜色进行搭配或者将六角锥体颜色模型中处于相对位置及相对位置相邻两侧的颜色进行搭配；所述协调色搭配方案用于将六角锥体颜色模型中任意两两相邻的2-4种颜色进行搭配；所述主流颜色搭配方案为当前流行的颜色搭配方案。
  10. 根据权利要求8或9所述的颜色辨识***，其中，所述信息输出单元用于以文字加图片方式或者语音加图片方式输出与所述待辨识物体的所述图案区域的颜色信息相对应的所述颜色搭配方案。
  11. 一种显示装置，包括权利要求1-10中任意一项所述的颜色辨识***。
  12. 一种颜色辨识方法，包括：
    获取待辨识物体的图片；
    提取所述图片中所述待辨识物体的图案区域的轮廓，并对所述图案区域的颜色进行分析，确定所述待辨识物体的整体颜色信息；
    输出所述待辨识物体的整体颜色信息。
  13. 根据权利要求12所述的颜色辨识方法，还包括：
    输出所述待辨识物体的所述图案区域的轮廓；
    所述对所述图案区域的颜色进行分析，确定所述待辨识物体的整体颜色信息包括：
    将所述图片中的所述待辨识物体划分为多个子区域；对各个所述子区域的颜色进行分析和确定；然后对所述子区域的颜色信息按照其所在的所述图案区域进行汇总，最终确定所述待辨识物体的整体颜色信息。
  14. 根据权利要求13所述的颜色辨识方法，其中，所述对各个所述子区域的颜色进行分析和确定包括：
    分析确定各个所述子区域的颜色参数；
    将各个所述子区域的颜色参数与存储的样本颜色数据库中的颜色参数进行比较；
    在比较结果一致时，将与所述子区域对应的所述样本颜色数据库中的颜色确定为该所述子区域的颜色。
  15. 根据权利要求13或14所述的颜色辨识方法，其中，所述对所述子区域的颜色信息按照其所在的所述图案区域进行汇总，最终确定所述待辨识物体的整体颜色信息包括：
    所述待辨识物体的所述图案区域包括多个，将对应位于每个所述图案区域内的所述子区域分为多个第一组，其中，每个所述第一组包括多个彼此相邻的所述子区域；
    将对应位于每个所述图案区域内的所述第一组分为多个第二组，其中，每个所述第二组包括多个彼此相邻的所述第一组；
    对每个所述第一组中的所述子区域的颜色信息进行统计，并将统计结果超过阈值的颜色信息确定为该个所述第一组的颜色信息；
    对每个所述第二组中的所述第一组的颜色信息进行统计，并将统计结果超过所述阈值的颜色信息确定为该个所述第二组的颜色信息；
    对每个所述图案区域内的所述第二组的颜色信息进行统计，并将统计结果超过所述阈值的颜色信息确定为该个所述图案区域的颜色信息。
  16. 根据权利要求12所述的颜色辨识方法，还包括
    根据所述待辨识物体的所述图案区域的颜色信息在存储的颜色搭配方案中选择与其对应的颜色搭配方案；
    输出与所述待辨识物体的所述图案区域的颜色信息相对应的所述颜色搭配方案。
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