Defect detection in textured materials using optimized filters

被引：80
|
作者：
Kumar, A
Pang, GKH
机构：
[1] Hong Kong Univ Sci & Technol, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
[2] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2002年 / 32卷 / 05期
关键词：
defect detection; industrial inspection; optimized FIR filters; performance evaluation; quality assurance; textured defects;
D O I：
10.1109/TSMCB.2002.1033176
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of automated defect detection in textured materials is investigated. A new approach for defect detection using linear FIR filters with optimized energy separation is proposed. Performance of different feature separation criterion with reference to fabric defects has been evaluated. The issues relating to the design of optimal filters for supervised and unsupervised web inspection are addressed. A general web inspection system based on the optimal filters is proposed. The experiments on this new approach have yielded excellent results. The low computational requirement confirms the usefulness of the approach for industrial inspection.
引用
收藏
页码：553 / 570
页数：18
相关论文
共 50 条
  • [1] Defect detection in textured materials using Gabor filters
    Kumar, A
    Pang, G
    [J]. IAS 2000 - CONFERENCE RECORD OF THE 2000 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-5, 2000, : 1041 - 1047
  • [2] Defect detection in textured materials using gabor filters
    Kumar, A
    Pang, GKH
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2002, 38 (02) : 425 - 440
  • [3] Automated defect detection in textured surfaces using optimal elliptical Gabor filters
    Hu, Guang-Hua
    [J]. OPTIK, 2015, 126 (14): : 1331 - 1340
  • [4] Fast Defect Detection in Textured Surfaces Using 1D Gabor Filters
    D.-M. Tsai
    C.-P. Lin
    [J]. The International Journal of Advanced Manufacturing Technology, 2002, 20 : 664 - 675
  • [5] Fast defect detection in textured surfaces using 1D Gabor filters
    Tsai, DM
    Lin, CP
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2002, 20 (09): : 664 - 675
  • [6] Automated defect detection in textured materials using wavelet-domain hidden Markov models
    Hu, Guang-Hua
    Zhang, Guo-Hui
    Wang, Qing-Hui
    [J]. OPTICAL ENGINEERING, 2014, 53 (09)
  • [7] Fabric defect detection using morphological filters
    Mak, K. L.
    Peng, P.
    Yiu, K. F. C.
    [J]. IMAGE AND VISION COMPUTING, 2009, 27 (10) : 1585 - 1592
  • [8] Nep Detection in Carding Machine Using Optimized Filters
    Chen, Jun-Yan
    Yu, Chong-Wen
    [J]. TEXTILE BIOENGINEERING AND INFORMATICS SYMPOSIUM PROCEEDINGS, VOLS 1-3, 2010, : 685 - 689
  • [9] Defect detection in textile images using Gabor filters
    Beirao, CL
    Figueiredo, MAT
    [J]. IMAGE ANALYSIS AND RECOGNITION, PT 2, PROCEEDINGS, 2004, 3212 : 841 - 848
  • [10] Fabric defect detection based on textured characteristics using wavelet transform
    Sun, Ziguang
    Liu, Zhiqi
    Wang, Xiaorong
    Xu, Yiyi
    [J]. INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND PATTERN RECOGNITION IN INDUSTRIAL ENGINEERING, 2010, 7820
12345