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

Abstract

The invention relates to the construction and application of a multi-dimensional coupling-superimposed compound color mixing model and a gradient chromatographic matrix algorithm. It adopts a new digital color matching logic design to construct a discrete color mixing model of color materials and a visualization algorithm for its color mixing chromatogram, and obtains serialized chromatograms by changing the blending ratio. And use this as the basis for the color design of colored spinning to realize the digital virtual color matching of colored yarns. In practical applications, five primary color fibers such as yellow, cyan, magenta, black and white can be Combining and mixing to build a standard color-mixing chromatogram can provide a reference for the color matching of colored yarns, and a digital model for color matching and color matching is specifically constructed; an algorithm and chromatographic big data for serialized color mixing based on color material deployment are constructed, including The complete hue of color matching and the full color spectrum system of different lightness and saturation; the color gradient mode and gradient color spectrum big data based on color matching are constructed; compared with the traditional color scheme, the intuitive color matching is obtained, and the mixed color High efficiency, short time consumption, and convenient remote transmission of relevant information, improve the work efficiency of actual chromatographic construction.

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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