A color visual expression method of the color characteristics of Chinese painting

A technology of color characteristics and expression methods, applied in the field of data visualization, can solve the problem of lack of information display with reasonable color matching ratio, and achieve the effect of solving time-consuming and reducing time for color matching ratio

Active Publication Date: 2021-03-30
HANGZHOU DIANZI UNIV
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Problems solved by technology

In the application process of color matching design, there is a lack of information display of reasonable color matching

Method used

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  • A color visual expression method of the color characteristics of Chinese painting
  • A color visual expression method of the color characteristics of Chinese painting
  • A color visual expression method of the color characteristics of Chinese painting

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Embodiment Construction

[0040] In order to enable those skilled in the art to better understand the solution of the present invention, and to make the above-mentioned purpose, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings of the embodiments.

[0041] figure 1 It is a basic flowchart of a color visual expression method of a Chinese painting color feature of the present invention. Include the following steps:

[0042] Step 1: Take a sample of Chinese painting with the theme of landscape painting, use the color quantization algorithm to extract colors by using the size of the color area to represent the color characteristics of Chinese painting, and display the extracted colors in the RGB color space. The experimental results are as follows figure 2 shown. It shows that a small number of colors can be used to characterize the color chara...

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Abstract

The invention discloses a color visual expression method based on characteristic colors obtained by Chinese painting color characteristics. The method comprises the following steps: step 1, obtaininga color set capable of representing Chinese painting color characteristics by using a color quantization algorithm; performing color quantitative extraction on 100 Chinese painting digital samples with different themes based on Python, setting the color number of each Chinese painting sample to be 15 during an experiment test, and finally obtaining a Chinese painting primary feature color set; step 2, through multi-dimensional and multi-objective demand data analysis and mining, obtaining the specific gravity and the relation of each feature color of the Chinese painting; and step 3, based onthe G2 visual graph grammar, drawing a data display graph which meets requirements and can be simply interacted on a JavaScript front-end platform. By means of the color visual expression method, multidimensional attributes of colors can be visually displayed, and the problem that color attributes are not visually displayed is effectively solved.

Description

technical field [0001] The invention relates to color data mining and color information visualization, and belongs to the field of data visualization. More specifically, it relates to a method of visually expressing colors through a color set that can represent the color characteristics of Chinese paintings. Background technique [0002] In recent years, the world's digital museums and digital cultural exhibitions have emerged. Culture is a symbol of the country's important soft power. Research on the digital high-precision acquisition and display of cultural collections has become a hot issue in the interdisciplinary integration of various disciplines. However, the current Chinese painting color The feature representation method is still displayed in the traditional color value, which lacks subjectivity during use. In the application process of color matching design, there is a lack of information display of reasonable color matching. In view of the above problems, the pr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/54G06F16/55
CPCG06F16/54G06F16/55
Inventor 王强张维彦杨安宁
Owner HANGZHOU DIANZI UNIV
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