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首页> 外文期刊>The Journal of the Textile Institute >A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part I: continuous segmentation of warp yarns
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A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part I: continuous segmentation of warp yarns

机译：一种基于计算机视觉的系统，用于自动检测色织织物中经线排列不正确的纱线。第一部分：经纱的连续分段

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摘要

In textile and garment industries, misarranged warp yarns of yarn-dyed fabrics disorganize the layout of fabrics and lead to poor product quality. This series of studies aims to develop a computer vision-based system for automatic detection of misarranged color warp yarns in terms of high efficiency and good accuracy. Four main parts are included in this series of studies: warp yarn segmentation, fabric image stitching, warp regional segmentation, and yarn layout proofing. This paper proposes a continuous segmentation method of warp yarns to detect the misarranged color warp yarns for yarn-dyed fabrics automatically, which is the foundation of the developed computer vision-based system. The proposed framework consists of two main components: warp yarn segmentation and fabric image stitching. Firstly, the sequence images of a fabric stripe are captured using a designed offline image acquisition platform. Secondly, the warp yarns in the sequence images are segmented by a sub-image projection-based method successively. Thirdly, the sequence images are stitched by a yarn-template matching method based on their warp segmentation results. Finally, the continuous segmentation result of warp yarns is saved for the further processing of warp regional segmentation and color warp layout proofing. The proposed method has been evaluated on 720 fabric images of five fabric examples with plain and 2/2 twill, and experimental results show that the proposed method can realize the continuous segmentation of warp yarns in yarn-dyed fabrics with the yarn segmentation accuracy of 97.43% and image stitching accuracy of 99.53%.
机译：在纺织和服装工业中，色织织物的经纱排列不当会扰乱织物的布局，并导致劣质的产品。该系列研究旨在开发一种基于计算机视觉的系统，该系统可以自动检测高效率和良好准确性的错位彩色经纱。该系列研究包括四个主要部分：经纱分割，织物图像拼接，经纱区域分割和纱线布局校样。提出了一种经纱的连续分割方法，以自动检测色织织物中颜色排列不正确的经纱，为已开发的基于计算机视觉的系统奠定了基础。提议的框架包括两个主要部分：经纱分割和织物图像缝合。首先，使用设计的离线图像采集平台捕获织物条纹的序列图像。其次，通过基于子图像投影的方法对序列图像中的经纱进行分段。第三，基于经纱分割结果，通过纱线模板匹配方法对序列图像进行拼接。最后，保存经纱的连续分割结果，用于进一步进行经纱区域分割和彩色经纱打样的处理。在5个平纹和2/2斜纹织物实例的720幅织物图像上对所提方法进行了评估，实验结果表明，该方法可以实现色织织物中经纱的连续分割，纱线分割精度为97.43。 ％，图像拼接精度为99.53％。

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