[1]刘伟斌,郑力新,周凯汀.采用频域滤波的织物疵点检测方法[J].华侨大学学报(自然科学版),2017,38(4):562-566.[doi:10.11830/ISSN.1000-5013.201704022]
　LIU Weibin,ZHENG Lixin,ZHOU Kaiting.Detection Method of Fabric Defects Based on Frequency Domain Filtering[J].Journal of Huaqiao University(Natural Science),2017,38(4):562-566.[doi:10.11830/ISSN.1000-5013.201704022]
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采用频域滤波的织物疵点检测方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第38卷
期数:
2017年第4期
页码:
562-566
栏目:
出版日期:
2017-07-10

文章信息/Info

Title:
Detection Method of Fabric Defects Based on Frequency Domain Filtering
文章编号:
1000-5013(2017)04-0562-05
作者:
刘伟斌1;  郑力新2;  周凯汀1
1. 华侨大学 信息工程与科学学院, 福建 厦门 361021;2. 华侨大学 工学院, 福建 泉州 362021
Author(s):
LIU Weibin1;  ZHENG Lixin2;  ZHOU Kaiting1
1. College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China; 2. College of Engineering, Huaqiao University, Quanzhou 362021, China
关键词:
疵点检测;  织物;  纹理;  频域滤波;  傅里叶变换
Keywords:
defects detection;  fabric;  texture;  frequency domain filtering;  Fourier transform
分类号:
TP391
DOI:
10.11830/ISSN.1000-5013.201704022
文献标志码:
A
摘要:
首先,通过傅里叶变换获得含有疵点的织物频谱图,根据频谱图设计频域滤波器分离正常的纹理信息,保留疵点信息;然后,通过傅里叶逆变换进行灰度图重构,得到去除正常纹理的疵点图像;最后,经过高斯平滑后二值化分割出织物疵点.实验选取5种织物疵点进行验证,结果表明:采用频域滤波的织物疵点检测方法检测效果良好,且检测率达到90%以上.
Abstract:
Firstly, a spectrum image for fabric containing defects was obtained from the Fourier transform, According to the spectrum image, frequency domain filter was designed to remove normal texture information and keep defect information; and then a fabric defect image is obtained by Fourier inverse transform for reconstructed gray image which remove normal texture, finally, the fabric defect was obtained after Gaussian smoothing and image segment. The experiment select five types of fabric defects, the experimental results shows that the method is effective, and the detection average accuracy is over 90%.

参考文献/References:

[1] DENG Huawu,CLAUSI D A.Gaussian MRF rotation-invariant features for image classification[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(7):951-955.
[2] BRZAKOVIC D P,BAKIC P R,VUJOVIC N S,et al.A generalized development environment for inspection of web materials[C]//IEEE International Conference on Robotics and Automation.Albuquerque:IEEE Press,1997:1-8.
[3] 徐增波,贡玉南,黄秀宝.基于Wold纹理模型和分形理论的织物疵点检测[J].东华大学学报(自然科学版),2000,26(1):6-9.
[4] KUMAR A,PANG G K H.Defect detection in textured materials using Gabor filters[J].IEEE Transactions on Industry Applications,2002,38(2):425-440.
[5] HAN Yangfan,SHI Pengfei.An adaptive level-selecting wavelet transform for texture defect detection[J].Image and Vision Computing,2007,25(8):1239-1248.
[6] CHAN C H,PANG G K H.Fabric defect detection by Fourier analysis[J].IEEE Transactions on Industry Applications,2000,36(5):1267-1276.
[7] MAK K L,PENG P.An automated inspection system for textile fabrics based on Gabor filters[J].Robotics and Computer Integrated Manufacturing,2008,24(3):359-369.

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[1]王轩孙.对测定纺织品表面颜色深度的几个计算公式的探讨[J].华侨大学学报(自然科学版),1982,3(1 ):25.[doi:10.11830/ISSN.1000-5013.1982.01.0025]

备注/Memo

备注/Memo:
收稿日期: 2014-08-25
通信作者: 郑力新(1967-),男,教授,博士,主要从事工业自动化技术和人工智能的研究.E-mail:1275373176@qq.com.
基金项目: 福建省科技创新平台建设项目(2013H2002)
更新日期/Last Update: 2017-07-20