The criteria of choosing the optimal Gabor filter and defect detection using the optimal Gabor filter

被引:2
|
作者
Zhou, Jikun [1 ]
Yang, Kewen [1 ]
机构
[1] Minnan Normal Univ, Dept Math & Stat, Zhangzhou, Fujian, Peoples R China
关键词
eigenvalue perturbation; disturbance coefficient; frequency domain; the optimal Gabor filter; detect defection; TEXTURE SEGMENTATION; RECOGNITION;
D O I
10.1109/IHMSC.2015.242
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes the criteria of choosing the optimal Gabor filter and uses the optimal Gabor filter to detect defections for glass fiber clothes. On one hand, by using eight direction templates which replace the filters' eight directions the authors zehong chen and xiaoxia feng have choosed two optimal orientations. However, we just choose one optimal orientation by computing the maximum of the sum of the whole pixels. On the other hand, we choose the optimal scale through the image's information obtained from the frequency domain and the disturbance coefficient which is based on the theory of eigenvalue perturbation. The optimal scale is in front of the scale that disturbance coefficient is minimum. In other word, that the scale making disturbance coefficient minimum subtracts one is the optimal scale. Finally, experimental results demonstrate that our proposed approach is feasible and effective.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Automatic fabric defect detection using optimal Gabor filter based on hybrid beetle antennae search–gravitational search algorithm
    Jongchol Kim
    Hyok Jo
    Jinmyong Ri
    Kyongwon Han
    [J]. Journal of Optics, 2023, 52 : 1667 - 1675
  • [22] Saliency defect detection in strip steel by improved Gabor filter
    [J]. Sun, Hexu (hxsun@heut.edn.cn), 2017, Huazhong University of Science and Technology (45):
  • [23] Fabric defect detection based on GLCM and Gabor filter: A comparison
    Raheja, Jagdish Lal
    Kumar, Sunil
    Chaudhary, Ankit
    [J]. OPTIK, 2013, 124 (23): : 6469 - 6474
  • [24] Defect Detection Study of Fabric Based on Gabor Filter Algorithm
    Li, G. X.
    Li, Y. F.
    [J]. ADVANCES IN MATERIALS MANUFACTURING SCIENCE AND TECHNOLOGY XIV, 2012, 697-698 : 491 - +
  • [25] Fabric Defect Detection Method Based on Gabor Filter Mask
    Han, Runping
    Zhang, Lingmin
    [J]. PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL III, 2009, : 184 - 188
  • [26] Fabric Defect Detection Scheme Based on Gabor filter and PCA
    Ding, Shumin
    Li, Chunlei
    Liu, Zhoufeng
    [J]. ADVANCED COMPOSITE MATERIALS, PTS 1-3, 2012, 482-484 : 159 - 163
  • [27] Camera Module Defect Detection Using Gabor Filter and Convolutional Neural Network
    Kim, Sungrok
    Jeon, Taein
    Yeo, Jeonghyun
    Lee, Yunhee
    [J]. 2020 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 2020,
  • [28] Automatic fabric defect detection using optimal Gabor filter based on hybrid beetle antennae search-gravitational search algorithm
    Kim, Jongchol
    Jo, Hyok
    Ri, Jinmyong
    Han, Kyongwon
    [J]. JOURNAL OF OPTICS-INDIA, 2023, 52 (04): : 1667 - 1675
  • [29] Automated defect detection in textured surfaces using optimal elliptical Gabor filters
    Hu, Guang-Hua
    [J]. OPTIK, 2015, 126 (14): : 1331 - 1340
  • [30] Pedestrian detection algorithm using a gabor filter bank
    [J]. Baek, Kwang-Ryul (krbaek@pusan.ac.kr), 1600, Institute of Control, Robotics and Systems (20):