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Color representation model for pre-colored fiber blends based on local-to-global features fusion
The Journal of The Textile Institute ( IF 1.7 ) Pub Date : 2020-12-31 , DOI: 10.1080/00405000.2020.1868136
Li Yuan 1 , Muli Liu 1 , Junping Liu 2 , Yali Yang 1 , Xue Gong 1
Affiliation  

Abstract

This paper proposes a color representation model of pre-colored fiber blends that combines global and local features, and the main purpose of this model is to establish scientific and effective evaluation standards for the colorimetry index of colored spun fabric, which can be used to solve the difficulty faced by people to accurately describe the overall coloration characteristics of dyed fibers in colored spinning process. Firstly, the third-order color moment features and three structure descriptor features are extracted, and decision level image fusion of feature is performed to represent the color of the samples. Secondly, the normalized difference of the fusing features between different samples are obtained, and it makes a correlation analysis of the difference of the mass ratio of dyed fiber. The experimental results show that the color representation model can effectively represent the change of the mass ratio of dyed fibers, and meanwhile it is more practical compared with the traditional spectrophotometry.



中文翻译:

基于局部到全局特征融合的预着色纤维混合物颜色表示模型

摘要

本文提出了一种结合全局和局部特征的预染色纤维混纺颜色表示模型,该模型的主要目的是建立科学有效的色纺布比色指标评价标准,可用于解决人们在色纺过程中准确描述染色纤维的整体着色特性所面临的困难。首先,提取三阶颜色矩特征和三结构描述符特征,对特征进行决策级图像融合来表示样本的颜色。其次,得到了不同样品间融合特征的归一化差异,并对染色纤维的质量比差异进行了相关性分析。

更新日期:2020-12-31
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