Improved method of fabric defects inspection based on local entropy

被引:0
|
作者
Wang, DongYun [1 ]
Niu, ZhengGuang [1 ]
机构
[1] Zhongyuan Univ technol, Zhengzhou 450007, Peoples R China
关键词
local entropy; fabric defects; mathematical morphology; image inspect; gray; threshold;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an improved method of fabric defects inspection based on local entropy. The adaptive threshold is used for judging the defects of different pictures. It is good for reducing the error due to the change of the background and the subjective factor. The Tyler expand is also used to simplify the formula of the local entropy to accelerate the speed of calculation. In addition, noise in pictures is filtered out and the shape of the defects remains the same after the filtering by opening function of mathematical morphology. Final experiment result shows that this method has the advantage of high identification and good anti-noise ability.
引用
收藏
页码:776 / 779
页数:4
相关论文
共 50 条
  • [1] Improved Method of Fabric Defects Inspection Based on Local Entropy
    Wang Dongyun
    Niu Zhengguang
    PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 7, 2008, : 208 - 211
  • [2] The inspection of fabric defects based on wavelet transform
    Liu, SG
    Qu, PG
    ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3, 2003, : 1939 - 1942
  • [3] Automatic inspection of fabric defects based on computer vision
    Liu Shu-guang
    Qu Ping-ge
    PROCEEDINGS OF 2009 INTERNATIONAL TEXTILE SCIENCE AND TECHNOLOGY FORUM, 2010, : 196 - 201
  • [4] Fabric Defects' Automatic Inspection Based on Computer Vision
    Liu Shuguang
    Qu Pingge
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 2378 - 2382
  • [5] Fabric defect detection based on improved local adaptive contrast method
    Du S.
    Li Y.
    Wang M.
    Luo H.
    Jiang G.
    Fangzhi Xuebao/Journal of Textile Research, 2019, 40 (02): : 38 - 44
  • [6] Fabric inspection based on the Elo rating method
    Tsang, Colin S. C.
    Ngan, Henry Y. T.
    Pang, Grantham K. H.
    PATTERN RECOGNITION, 2016, 51 : 378 - 394
  • [7] Automatic Fabric Defects Inspection Machine
    M A I M.Abhayarathne
    I U Atthanayake
    Instrumentation, 2021, 8 (03) : 16 - 25
  • [8] An Efficient and Intelligent Detection Method for Fabric Defects based on Improved YOLOv5
    Lin, Guijuan
    Liu, Keyu
    Xia, Xuke
    Yan, Ruopeng
    SENSORS, 2023, 23 (01)
  • [9] Fuzzy inspection of fabric defects based on Particle Swarm Optimization (PSO)
    Liu, Juan
    Ju, Hui
    ROUGH SETS AND KNOWLEDGE TECHNOLOGY, 2008, 5009 : 700 - 706
  • [10] Inspection of Fabric Defects Based on Compactly Supported Biorthogonal Wavelet Transform
    Chen Shuyue
    Xu Mingqian
    MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5, 2012, 130-134 : 2111 - 2114