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基于Gabor滤波器组的织物疵点检测方法
引用本文:韩润萍,孙苏榕,姜玲.基于Gabor滤波器组的织物疵点检测方法[J].计算机工程与应用,2007,43(7):211-214.
作者姓名:韩润萍  孙苏榕  姜玲
作者单位:北京服装学院,工业设计与信息工程学院,北京,100029
基金项目:北京市教委科技发展计划项目
摘    要:给出了基于Gabor滤波器组的织物疵点检测方法。在分析Gabor滤波器时频特性的基础上,针对素色坯布织物疵点图像,设计了椭圆形多尺度多方向的Gabor滤波器组,并应用该滤波器组在频域对织物疵点图像进行滤波处理,对滤波后的多幅图像进行融合与分割处理,将疵点从织物背景中分割出来,从而实现了疵点的检测。实验结果证明了该方法的有效性。

关 键 词:织物疵点检测  Gabor滤波器  多通道滤波  图像融合
文章编号:1002-8331(2007)07-0211-04
修稿时间:2006-12

Scheme for fabric defect detection based on Gabor filters
HAN Run-ping,SUN Su-rong,JIANG Ling.Scheme for fabric defect detection based on Gabor filters[J].Computer Engineering and Applications,2007,43(7):211-214.
Authors:HAN Run-ping  SUN Su-rong  JIANG Ling
Affiliation:Department of Industrial Design and Information Engineering,Beijing Institute of Clothing Teehnology,Beijing 100029,China
Abstract:A scheme for fabric defect detection based on Gabor filters is proposed in this paper.Based on the features of Gabor filters and textured materials with single color,a bank of ellipse-shaped Gabor filters with multi-scale and multi-orientation are designed.The fabric defect image is processed using this filter bank,and filtered sub-images are obtained which characterize the fabric defect in different orientations and scales in the frequency domain.These sub-images are fused in order to reconstruct the defect binary image that segments the defect from the texture background.Experiment results have confirmed the usefulness of this scheme for fabric defect detection.
Keywords:fabric defect detection  Gabor fiher  muhichannel filtering  image fusing
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