Automated and intelligent figure color-matching method

Abstract

The invention discloses an automated and intelligent figure color matching method and belongs to the figure design technical field. The method includes the following steps that: representative colors are extracted from a known source figure, color harmonization is performed on the color matching scheme of the source figure, so that the color matching scheme of a designed figure requiring color matching is obtained; and the mapping relationship between the color matching scheme of the source figure and the color matching scheme of the designed figure is established, and representative colors of the designed figure are selected, so that a series of color matching scheme mappings of the designed figure can be formed. With the automated figure intelligent color matching method of the invention adopted, the labor intensity of designers can be reduced, and color matching efficiency can be improved. According to the automated figure intelligent color matching method, aesthetic measures are adopted to measure the quality of the color matching schemes, and therefore, the automated and intelligent figure color matching method is intelligent.

Description

Technical field: [0001] The invention belongs to the technical field of graphic design, and in particular relates to an automatic graphic intelligent color matching method. Background technique: [0002] The development of vector graphics software represented by Flash, Illustrater, etc. has promoted the prosperity of vector graphics creation. Vector graphics are simple and concise, bright in color, lifelike and exaggerated in shape, and the flat shape gives people a strong visual impact and artistic feeling. Highly respected and favored by the younger generation, at the same time, because of its relatively independent shape, vector graphics can be edited arbitrarily in color, outline, size, etc. One of the essential art forms in design. [0003] In terms of graphic effect design, the most powerful impact of vector images on the audience is the change of color. The key lies in color matching. The most effective and common way of color matching in design disciplines is to dec...

AI Technical Summary

Problems solved by technology

[0004] 1. In the color matching process of design science, the collection and summary of source images are relatively subjective, which may easily cause deviation or incomplete analysis

[0005] 2. During the reconstruction process, the grasp of the value of the color is relatively subjective, the grasp of the color area is not accurate, and the color matching is not accurate

[0006] 3. To collect and reconstruct the color of the source image, the color matching takes a long time and the range is small, which is not conducive to the comparison of the advantages and disadvantages of vector graphics

[0007] At present, there is no design software that can automatically and intelligently extract color schemes through color clustering from source graphics such as known natural images, design graphics, or paintings, and apply them to the color matching of vector graphics

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