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Hidden Markov random field models applied to color homogeneity evaluation in dyed textile images
Environmetrics ( IF 1.7 ) Pub Date : 2019-12-25 , DOI: 10.1002/env.2613
Victor Freguglia 1 , Nancy L. Garcia 1 , Juliano L. Bicas 2
Affiliation  

Color is one of the most important features in any textile material. Due to its competitive price, most of the colorants currently used for textile dyeing are synthetic, originated from nonrenewable sources, and highly pollutant. There is an increasing interest for natural processes to dye fabrics. When new textile dyeing technologies are developed, evaluating the quality of these techniques involves measuring the resulting color homogeneity using digital images. The presence of a texture effect, caused by the interlacing of warp and weft yarns, as well as small displacement of the fabric, creates a sophisticated dependence structure in pixels coloring. A random effects model is employed in order to separate the signal from the dyeing effect (fixed effect described by smooth functions) and warp and weft texture effect (Gaussian mixture driven by a hidden Markov random field), allowing an evaluation of color homogeneity in dyed textiles regardless of the effect of the texture.

中文翻译:

应用于染色纺织品图像颜色均匀性评估的隐马尔可夫随机场模型

颜色是任何纺织材料中最重要的特征之一。由于其具有竞争力的价格,目前用于纺织品染色的大多数着色剂都是合成的,来源于不可再生资源,并且具有高污染性。人们对染色织物的自然过程越来越感兴趣。当开发新的纺织品染色技术时,评估这些技术的质量涉及使用数字图像测量产生的颜色均匀性。由经纱和纬纱的交织以及织物的小位移引起的纹理效果的存在,在像素着色中创建了复杂的依赖结构。
更新日期:2019-12-25
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