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首页> 外文期刊>The Journal of the Textile Institute >A real-time computer vision-based platform for fabric inspection part 2: platform design and real-time implementation
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A real-time computer vision-based platform for fabric inspection part 2: platform design and real-time implementation

机译：基于实时计算机视觉的织物检查平台，第2部分：平台设计和实时实现

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摘要

In practice, off-line fabric defect detection is a real-time inspection process, requiring both inspection system and detection algorithms capable of high real-time performance. This paper presents a computer vision-based platform for the fabric's visual quality assurance. The proposed platform is composed of four subsystems including: fabric drive, illumination and imaging, image acquisition and processing and human-computer interaction. The design of high-performance embedded system based on FPGA + DSP architecture is presented and discussed. After that, an extensive discussion on system settings, real-time implementation issues are presented. Finally, a real-time inspection experiment on 160-m real-world fabrics with 11 defect types is conducted. The experiment results show the proposed platform exhibits a good real-time response, and can achieve an overall 89% detection rate with a low false alarm at a speed of 30 m/min.
机译：在实践中，离线织物缺陷检测是实时检查过程，需要检查系统和具有高实时性能的检测算法。本文提出了一种基于计算机视觉的平台，用于织物的视觉质量保证。该平台由四个子系统组成，包括：织物驱动，照明和成像，图像采集和处理以及人机交互。介绍并讨论了基于FPGA + DSP架构的高性能嵌入式系统的设计。之后，对系统设置和实时实施问题进行了广泛的讨论。最后，对具有11种缺陷类型的160 m真实世界织物进行了实时检查实验。实验结果表明，所提出的平台具有良好的实时响应能力，在30 m / min的速度下，可以实现89％的整体检测率，误报率低。

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