基于频域滤波的电缆线芯图像纹理消除研究

电缆作为电力传输的重要部分,其线芯质量关系到用电安全及传输效率。 在利用机器视觉技术测量电缆线芯结构参数 时,刀痕纹理严重影响了图像分割效果,降低了测量精度。 针对这一问题,提出了一种基于改进频域滤波的线芯截面图像刀痕 纹理消除方法:首先采用相对总变差模型分解线芯截面图像,得到纹理图像描述;对线芯截面纹理图像进行快速傅里叶变换,分 析刀痕纹理在频域中的能量主方向;研究改进型巴特沃斯陷波滤波器,设计椭圆形的邻域窄阻带以降低刀痕纹理对应的带状区 域能量,从而消除刀痕纹理。 实验结果表明,该方法的刀痕纹理消除率可达 92% ,提升了电缆线芯质量检测的效率。

Research on texture removal of the cable core image based on frequency domain filtering

As an essential part of the power transmission, the quality of the cable core is important for power safety and transmission efficiency. However, the knife mark texture in the cross-sectional image of the cable core affects the image segmentation effects seriously, which could reduce the measurement accuracy while using visual measurement for cable structural parameter detection. To solve this problem, this article proposes an improved frequency domain filtering to eliminate the knife mark texture of cable core crosssection image. Firstly, the cable core cross-section images are decomposed by the relative total variation (RTV) model to obtain the texture image. Then, the texture image is processed by fast Fourier transform to achieve the main energy direction of the texture. Finally, the Butterworth notch filter with oval-shaped neighborhood narrow stopband is designed to reduce the energy of the corresponding band-shaped area. Experimental results show that the elimination rate of knife mark texture is 92% , which proves the effectiveness of the proposed method.