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Research on the segmentation method of surface defects of galvanised sheet under complex texture background

机译:复杂纹理背景下镀锌板表面缺陷分割方法的研究

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摘要

Zinc-coated steel sheets, a kind of high-quality sheet, is widely used in all sorts of manufacturing industry. The fault on its surface is one of the factors which exert bad effects on its quality. Due to its complex texture, the experts first put forward to the defect segmentation methods of Discrete Fourier Spectrum Residuals and Gabor Filtering Image Fusion. Then, they analysed the grey form of the faults and the deficiencies of the two methods and made some improvements on them using Morphological black hat operation and eventually achieved the goal of effective defect segmentation. According to some results of experiments, the improved method is of high accuracy in the defect segmentation and to some extent can serve as the reference method to examine the faults of the zinc-coated sheets.
机译:镀锌钢板,一种高质量的板材,广泛应用于各种制造业。它的表面上的故障是对其质量产生不良影响的因素之一。由于其复杂的质地,专家首先提出了离散傅里叶谱差异和Gabor滤波图像融合的缺陷分段方法。然后,他们分析了故障的灰色形式和两种方法的缺陷,并使用形态黑色帽子操作对它们进行了一些改进,最终实现了有效缺陷分割的目标。根据实验的一些结果,改进的方法在缺陷分段中具有高精度,并且在一定程度上可以作为检查镀锌片材的故障的参考方法。

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