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Fabric Defect Detection Method Based on Gabor Filters

机译:基于Gabor滤波器的织物缺陷检测方法

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In this paper, a fabric defect detection method based on Gabor filter bank is present. In this method, the parameters of Gabor filter bank depend on the fabric texture feature. Using the Gabor filter bank with multi-frequency and multi-orientation, a textile image produces multi-image. Then, the images are reconstructed into one image for detecting defects. It is illustrated that most kinds of defects are correctly detected and segmented. The experimental results show that the algorithm is robust and has good detection effect.
机译:本文存在基于Gabor滤波器组的织物缺陷检测方法。在该方法中,Gabor滤波器组的参数取决于织物纹理特征。使用具有多频率和多向的Gabor滤波器组,纺织图像产生多图像。然后,将图像重建为一个图像以检测缺陷。示出了大多数类型的缺陷被正确地检测并分段。实验结果表明,该算法具有稳健性,具有良好的检测效果。

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