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首页> 外文会议>SPIE Conference on Automated Visual Inspection and Machine Vision >Nonwoven fabric crease defects detection based on Gabor filter
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Nonwoven fabric crease defects detection based on Gabor filter

机译：基于Gabor过滤器的无纺布折痕缺陷检测

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摘要

The defect detection of nonwoven fabrics is one of the most important steps of fabric quality assurance on production lines. For a long time, fabric defects detection has been carried out manually by human vision with an accuracy of about 60-70%, which not only affects the health of the inspectors, but also has high inspection cost. How to automatically detect crease defects of various forms at a high accuracy has been a challenging task in the field of machine vision. At present, Fourier transform and wavelet transform have been adopted to solve this problem. However, both of them can hardly detect stochastic textured in local region from different scales and directions. This paper adopted a 2D Gabor filter-based method to detect the crease defects, which has tunable angular and axial frequency bandwidth, tunable center frequencies, and could achieve optimal joint resolution in spatial and frequency domain. Firstly the fabric crease images are transformed from the spatial domain to the frequency domain. Secondly the frequency domain images are filtered by the Gabor filter with adjustable central frequency, bandwidth and azimuth, and the frequency domain images of the crease pattern are selected in the frequency domain image. Then they are reversed to the spatial domain. Finally the crease area of nonwoven fabric is obtained by the blob analysis. Experiments conducted on various forms of crease defects have shown that by adopting the proposed method, the nonwoven fabric's crease defects can be detected effectively and accurately.
机译：非织造织物的缺陷检测是生产线上织物质量保证的最重要步骤之一。长期以来，织物缺陷检测已通过人类视觉手动进行，精度约为60-70％，这不仅影响了检查员的健康，而且还具有高的检查成本。如何以高精度自动检测各种形式的折痕缺陷在机器视野领域是一个具有挑战性的任务。目前，已经采用了傅里叶变换和小波变换来解决这个问题。然而，它们两者都可以在不同的尺度和方向上几乎无法检测到当地区域中的随机纹理。本文采用了一种基于2D Gabor滤波器的方法来检测折痕缺陷，其具有可调角度和轴向频率带宽，可调谐中心频率，并且可以在空间和频域中实现最佳的关节分辨率。首先，织物折痕图像从空间域转换到频域。其次，频域图像由带有可调的中央频率，带宽和方位角的Gabor滤波器过滤，并且在频域图像中选择折痕模式的频域图像。然后它们被逆转到空间域。最后，通过BLOB分析获得非织造织物的折痕区域。在各种形式的折痕缺陷上进行的实验表明，通过采用所提出的方法，可以有效且准确地检测非织造织物的折痕缺陷。

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