Construction and application of multi-dimensional superimposed color mixing model and gradient chromatographic matrix algorithm

Abstract

The invention relates to construction and application of a multi-dimensional superimposed color mixing model and a gradient chromatography matrix algorithm. A brand-new digital color matching logic design is adopted to construct a pigment discrete color mixing model and a visualization algorithm of a color mixing chromatography of the pigment discrete color mixing model, and digital virtual color matching of color yarns is realized. In actual application, standard color mixing chromatography can be constructed by combining and blending five primary color fibers such as yellow, cyan, fuchsin, black and white fibers, a reference basis can be provided for color matching of color yarns, and a digital model of pigment color matching is specifically constructed; an algorithm and chromatographic big data of serialized mixed chromatography based on pigment blending are constructed, and a complete hue based on pigment color blending and a full chromatographic system with different lightness and saturability are included; a color gradient mode based on pigment blending and gradient chromatography big data are constructed; and compared with a traditional color matching scheme, the obtained color matching is visualized, and the working efficiency of actual chromatography construction is improved.

Description

technical field [0001] The invention relates to the construction and application of a multi-dimensional superposition color mixing model and a gradient chromatographic matrix algorithm, and belongs to the technical field of color mixing spinning of color materials and color mixing dyeing of dyes 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, designers rely on their experience and subjective feelings about color to carry out color blending by means of manual proofing and fault-toler...

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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