基于Gabor滤波器的织物疵点检测

从疵布结构纹理模型出发阐述Gabor滤波器疵点边缘增强原理。根据织物特征设计织物自适应Gabor滤波器，确定Gabor滤波器的中心频率。再利用设计好的Gabor滤波器对方向性特征畸变织物疵点进行增强，并通过阈值处理完成疵点边缘检测。实验证明，织物自适应Gabor滤波器对方向性特征畸变疵点具有良好的边缘增强效果，可以突出织物纹理的能量，抑制疵点纹理的能量，同时该算法的最高检测速度可以达到7m/min。

Detection of fabric defects based on Gabor filter

The enhanced principle of defective edge based on Gabor filter is narrated from the texture model of defective fabrics.The self-adaptive Gabor filter is designed according to fabric features which determine the central frequency of Gabor filter.Then,the designed Gabor filter is applied to enhance fabric defects with directional aberration and the defective edges test of the fabric is finished through threshold value processing.The experimental results show that self-adaptive Gabor filter of fabric well enhance the edge of directional aberration defect,which can make prominent the energy of fabric texture while restraining the energy of defective texture.The maximum test speed of this method canachieve 7 m/min.