Construction and application of multi-dimensional coupling-superposition composite color mixing model and gradient chromatography matrix algorithm

Abstract

The invention relates to construction and application of a multi-dimensional coupling superposition composite color mixing model and a gradient chromatography matrix algorithm. The method comprises the steps: adopting a brand-new digital color matching logic design, constructing a pigment discrete color mixing model and a visualization algorithm of color mixing chromatography thereof, obtaining a serialized chromatography by changing a blending ratio, and taking the serialized chromatography as a basis for color spinning color design, so the digital virtual color matching of the colored yarn is realized, digital virtual color matching of the colored yarn is realized, in practical application, a standard color mixing chromatography can be constructed by combining and mixing five primary color fibers such as yellow, cyan, fuchsin, black and white, a reference basis can be provided for color matching of the colored yarn, and a digital model of pigment color matching is specifically constructed; constructing an algorithm and chromatographic big data of serialized mixed chromatography based on pigment blending, including a complete hue based on pigment color blending and a full chromatographic system with different lightness and saturability; and constructing a color gradient mode and gradient chromatography big data based on pigment blending. Compared with a traditional color matching scheme, the method has the advantages that the obtained color ratio is visual, the color mixing and matching efficiency is high, the consumed time is short, related information is convenient for remote transmission, and the working efficiency of actual chromatographic construction is improved.

Description

technical field [0001] The invention relates to the construction and application of a multi-dimensional coupling-superimposition composite color mixing model and a gradient chromatographic matrix algorithm, and belongs to the technical fields of color material mixing spinning and dye mixing dyeing in the textile industry. Background technique [0002] Pigments can be obtained through technical means such as dyeing of textile fiber materials, dope dyeing, biotransgenics, and structural coloring. According to the principle of mixed color control, several different color fibers are mixed in a certain proportion. By adjusting the mixing ratio, the hue, lightness and saturation of the mixed color body can be controlled within a certain color gamut. [0003] At present, in terms of color paste blending, dye blending, and color fiber blending, color designers rely on experience and subjective feelings to carry out color blending by means of manual proofing and fault-tolerant toning...

AI Technical Summary

Problems solved by technology

[0005]1. No digital model for color matching has been built. Color mixing is a process of mixing different colors of color materials. Traditional color matching methods have not established a physical model for color materials. To digitally express the color mixing process, it is necessary to build a physical model to digitally express the mass mixing ratio and color mixing ratio variation law of the color material mixing process

[0006]2. The algorithm of serialized mixed chromatogram based on the deployment of colorants and the big data of chromatogram have not been constructed. The choice of the problem, the second is the choice of the gradient blending mode between the basic colors

[0007]3. No color gradient mode based on colorant blending and big data of gradient color spectrum have been built. Gradient color is a series of colors with gradual changes in hue, lightness and saturation, usually in the form of Gradient gradients of hue, lightness and saturation are obtained with smaller gradients to obtain serialized gradient colors to obtain gradient colors

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