Method for testing color matching of colored spun yarn through computer

Abstract

The invention relates to a method for testing color matching of colored spun yarn through a computer. According to the method, first, a color matching basic database is established and utilized to improve a Friele model and train a three-layer BP neural network; second, based on the improved Friele model and the trained three-layer BP neural network, an initial formula of a target sample is calculated and corrected; and last, sample making is performed, or sample making is performed after further correction. Through the method for testing color matching of the colored spun yarn through the computer, an optical color matching Friele theoretical model is improved, influences of fiber types, yarn structures and the like on the integral color effect of the colored spun yarn are comprehensivelyconsidered, the formula obtained through color matching is more accurate, the color matching process is more efficient, and the success rate of sample making is increased.

Description

technical field [0001] The invention belongs to the field of color matching of textiles, and relates to a method for measuring color matching by computer for color spinning. Background technique [0002] Color spun yarn is a kind of melange yarn with unique mixed color effect after fully mixing two or more fibers of different colors. Color spun yarn has the effect of space mixing, and its color is transparent, rich and rich in layers and Three-dimensional sense, so as to be able to present the artistic effect that people hope. In recent years, the proportion of colored spinning in the fields of wool, cotton and chemical fiber is increasing year by year. [0003] The traditional color matching method of mixed-color textiles is that the color-matching personnel first mix the pre-dyed colored fibers evenly in proportion according to experience, and then weave them into mixed-color samples, and then compare the mixed-color samples with the standard samples under a specific ligh...

AI Technical Summary

Problems solved by technology

Tristimulus value color matching is also called conditional metachromaticity. Its principle is to use the matching color and the standard color's tristimulus value to be equal. However, the current research on tristimulus value color matching is limited to predicting the color spinning yarn blended with three or less single-color fibers Component formula; full-spectrum color matching is also called unconditional equivalence. Its principle is to use the reflectance of the color matching sample and the standard sample to be exactly the same to achieve spectral matching. At present, full-spectrum color matching has gradually become a research hotspot for researchers

However, when the above method is used to measure color matching, it generally only considers the final reflectance of the sample, and does not take into account other factors that affect the color rendering effect of melange yarn. The accuracy of the above method when calculating color matching is relatively poor.

Images