纺织学报 ›› 2010, Vol. 31 ›› Issue (4): 55-59.

• 纺织工程 • 上一篇    下一篇

基于Gabor滤波器的织物疵点检测

杨晓波   

  1. 浙江财经学院信息学院
  • 收稿日期:2009-04-09 修回日期:2009-08-16 出版日期:2010-04-15 发布日期:2010-04-15
  • 通讯作者: 杨晓波

Detection of fabric defects based on Gabor filter

YANG Xiaobo   

  1. Department of Information, Zhejiang University of Finance & Economics
  • Received:2009-04-09 Revised:2009-08-16 Online:2010-04-15 Published:2010-04-15
  • Contact: YANG Xiaobo

摘要:

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。

Abstract:

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 of this method can achieve 7 m/min.

中图分类号: 

  • TP311.131
[1] 王传桐 胡峰 徐启永 吴雨川 余联庆. 采用Gabor滤波簇和等距映射算法的织物疵点检测方法[J]. 纺织学报, 2017, 38(03): 162-167.
[2] 杨晓波. 四点插值法在柔性织物曲面模拟中的应用[J]. 纺织学报, 2015, 36(06): 50-0.
[3] 杨晓波. 基于GMRF模型的统计特征畸变织物疵点识别[J]. 纺织学报, 2013, 34(4): 137-142.
[4] 杨晓波. 基于自适应离散小波变换的混合特征畸变织物疵点识别[J]. 纺织学报, 2013, 34(1): 133-137.
[5] 杨晓波. 基于人工神经网络的织物疵点聚类分析[J]. 纺织学报, 2011, 32(9): 29-33.
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