Fabric defect detection based on multi-scale wavelet transform and Gaussian mixture model method

被引：69
|
作者：
Li, Pengfei [1 ]
Zhang, Huanhuan [1 ,2 ]
Jing, Junfeng [1 ]
Li, Renzhong [1 ]
Zhao, Juan [1 ]
机构：
[1] Xian Polytech Univ, Coll Elect & Informat, Xian, Peoples R China
[2] Xian Univ Technol, Sch Automat & Informat Engn, Xian, Peoples R China
来源：
JOURNAL OF THE TEXTILE INSTITUTE | 2015年 / 106卷 / 06期
关键词：
Gaussian mixture model; multi-scale wavelet transform; defect detection; EM algorithm;
D O I：
10.1080/00405000.2014.929790
中图分类号：
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号：
0805 ; 080502 ; 0821 ;
摘要：
This paper proposed an approach, which is based on multi-scale wavelet transform and Gaussian mixture model, to solve the problem about automated fabric defect detection and improve the quality of fabric in the production. Firstly, the sample image was tackled by the "Pyramid" wavelet decomposition algorithm, and the new images were obtained by reconstructing with the produced wavelet coefficients using wavelet thresholding denoising method. Secondly, the obtained new images were segmented by applying the Gaussian mixture model that was based on the Expectation-Maximization (EM) algorithm. Various fabric samples were used in the evaluation, and the experimental results showed that the designed algorithm could precisely locate the position of defect and segment the defect.
引用
收藏
页码：587 / 592
页数：6
相关论文
共 50 条
  • [1] Fabric defect detection method based on multi-scale fusion attention mechanisms
    Liu, Chenhui
    Zou, Hongyan
    Lv, Peng
    Zhu, Ruilin
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2025, 36 (01)
  • [2] Fast multi-scale edge detection algorithm based on wavelet transform
    Zang, Jie
    Song, Yanjun
    Li, Shaojuan
    Luo, Guoyun
    MIPPR 2011: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS, 2011, 8003
  • [3] A Medical CT Image Enhancing Algorithm Based on the Mixture Scope Model of Wavelet Multi-scale Transform
    Wang, Lei
    Chen, Gongxin
    Lu, Ling
    Jiang, Niande
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS, 2008, : 310 - +
  • [4] The Method of Logging Curves Fusion Based on Multi-Scale Wavelet Transform
    Yu, Yunliang
    Bai, Ye
    Wang, Jianqiang
    Li, Wenqing
    MECHANICAL PROPERTIES OF MATERIALS AND INFORMATION TECHNOLOGY, 2012, 340 : 40 - 45
  • [5] Fabric Defect Detection Based on Wavelet Transform and Background Estimation
    Liu Zhoufeng
    Liu Qiuli
    Li Chunlei
    Dong Yan
    EIGHTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2016), 2016, 10033
  • [6] Fabric Defects Detection Using Multi-scale Wavelet and Locating
    Jing, Junfeng
    Li, Hang
    Li, Pengfei
    ADVANCES IN TEXTILE ENGINEERING, 2011, 331 : 481 - 484
  • [7] Multi-scale Edge Detection Using Undecimated Wavelet Transform
    Kitanovski, V.
    Taskovski, D.
    Panovski, L.
    ISSPIT: 8TH IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, 2008, : 385 - 389
  • [8] A New Method for Medical Image Registration Based on Wavelet Multi-scale Transform
    Xie, Jingquan
    Chen, Zaihe
    Xu, Guilin
    2008 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL 1, PROCEEDINGS, 2008, : 355 - 359
  • [9] Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model
    Mei, Shuang
    Wang, Yudan
    Wen, Guojun
    SENSORS, 2018, 18 (04)
  • [10] Fabric defect detection based on wavelet transform and k-means
    Zhang Huanuan
    Zhao Juan
    Li Renzhong
    Jing Junfeng
    Li Pengfei
    PROCEEDINGS OF THE 2015 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER ENGINEERING AND ELECTRONICS (ICECEE 2015), 2015, 24 : 649 - 653
12345