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Analysis of woven fabric structure using image analysis and artificial intelligence

机译:基于图像分析和人工智能的机织物结构分析

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An integrated hardware and software system has been developed that can automate the analysis process of various woven fabric structures. Although the analysis of woven structure is one of the most important steps in the fabric design and quality control process, it has been dependent only on human skills with primitive devices. In this study, a dedicated hardware system has been developed to obtain an ultra-high resolution fabric images. Then a series of image analysis technique was applied to locate the intersecting regions of warps and wefts on those images. Finally, an artificial neural network was formed to determine the woven structure of fabric based on the two shape parameters extracted from those regions.
机译:已经开发出可以使各种机织物结构的分析过程自动化的集成硬件和软件系统。尽管对机织结构的分析是织物设计和质量控制过程中最重要的步骤之一,但它仅依赖于具有原始设备的人员技能。在这项研究中,已经开发了专用的硬件系统来获得超高分辨率的织物图像。然后应用了一系列图像分析技术来定位这些图像上经纱和纬纱的相交区域。最后,基于从这些区域提取的两个形状参数,形成了一个人工神经网络来确定织物的机织结构。

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