A data visualization method based on semantic resonance color

Abstract

The invention relates to a data visualization method based on semantic resonance colors. The method comprises the following steps of 1, setting a set of nouns of articles with colors to be distributed as a word set and obtaining a picture set related to the word set according to keywords of the nouns; 2, selecting a proper color palette, wherein the color palette comprises all colors of the articles with colors to be distributed; 3, generating a color histogram of pictures in the picture set, and according to the distribution phenomenon of the colors in the color histogram, obtaining the occurrence probability of the colors in the color palette in the color histogram; 4, according to the distinguishing degree of the colors in the color palette and the occurrence probability in the color histogram, distributing the colors in the color palette to the articles with the colors to be distributed in the word set, and forming and displaying keyword-color pairs. Compared with the prior art, the data visualization method has the advantages of reserving main colors, being accurate in color matching and the like.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a data visualization method based on semantic resonance color. Background technique [0002] In the process of data visualization, the coloring method will play an important role. A good coloring scheme will greatly improve the visualization effect. For example, we can use blue to display the "ocean" data, or use pink as the key Word "love" coloring, different colors help us to recognize and distinguish different categories. [0003] It is easy to find that the color and the meaning of the word will speed up the cognitive process, otherwise it will hinder the cognitive process. This interesting phenomenon is called "Stroop Effect". In fact, not only the name of the color, people have already We are used to binding colors to various concepts. These natural and semantically consistent colors are called "Semantically Resonant Colors". If semantically resonant colors can be effective...

AI Technical Summary

Problems solved by technology

[0004] However, the existing text expressions are too monotonous, and the black fonts throughout the text are very unfavorable for the semantic recognition of the text, and cannot arouse readers' interest in reading. The existing semantic resonance color text representation methods usually use a large number of related pictures as training sets. When removing the background before obtaining the color histogram, the black and white backgrounds are often removed, but because the main colors corresponding to some words are black and white, this method removes the color itself, resulting in inaccurate statistics

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