An unsupervised method for dominant colour region segmentation in yarn-dyed fabrics

An unsupervised method for dominant colour region segmentation in yarn-dyed fabrics
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色织面料主色区域分割的无监督方法

DOI:
10.1111/cote.12063
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发表时间:
2013-12
影响因子:
1.8
通讯作者:
Xin John H.
Xin John H.
中科院分区:
材料科学3区
文献类型:
--
作者:
Luo Lin;Shao Si-Jie;Shen Hui-Liang;Xin John H.

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本文提出了一种新的无监督方法来检测色织织物图像中突出的主色区域。对于色织织物的主色区域,通过成像系统测量,其单个纱线具有不规则的三维形状,导致纱线的像素之间存在显著的色差。这种差异导致难以将纱线分割成主色区域。在这项研究中,提出了一个概率模型相关联的主色区域的颜色与它的纱线的颜色。基于该模型,首先根据色织布图像中纱线的颜色直方图估计主色区域的颜色直方图。然后,设计了一种分层分割结构来检测图像中的主色区域。实验结果表明,该方法对色织织物图像中的主色区域分割取得了满意的效果,具有较高的计算效率。
This paper presents a novel unsupervised approach to detect dominant colour regions standing out conspicuously in yarn-dyed fabric images. For a dominant colour region of a yarn-dyed fabric, measured by an imaging system, its individual yarn has an irregular three-dimensional shape resulting in significant colour difference among pixels of the yarn. This difference leads to difficulty in segmenting yarns into dominant colour regions. A probabilistic model is proposed in this study to associate the colour of a dominant colour region with the colours of its yarns. Based on this model, the colour histograms of a dominant colour region are first estimated from those of yarns in a yarn-dyed fabric image. Then, a hierarchical segmentation structure is devised to detect dominant colour regions in the image. Experimental results show that the proposed approach achieves satisfactory performance for dominant colour region segmentation in yarn-dyed fabric images, with high computational efficiency.
DOI: 10.1111/1467-9884.00122
发表时间: 1998-04
期刊: The Statistician
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