Paper Title:
Defect Detection Study of Fabric Based on Gabor Filter Algorithm
  Abstract

This thesis exploits a multichannel Gabor filters detection algorithm. Analysis filtering images from different orientations and scales, then fuses the multichannel data. Finally, a threshold iterative algorithm and mathematical morphology post-processing is used to achieve the fabric defect detection. The experiment selects five types of fabric defect image. Experimental results suggest that this algorithm can effectively identify blob-shaped, linear and planar defect and has well real-time character.

  Info
Periodical
Materials Science Forum (Volumes 697-698)
Chapter
II. Material Forming Science and Technology
Edited by
Tian Huang, Dawei Zhang, Bin Lin, Anping Xu, Yanling Tian and Weiguo Gao
Pages
491-494
DOI
10.4028/www.scientific.net/MSF.697-698.491
Citation
G.X. Li, Y.F. Li, "Defect Detection Study of Fabric Based on Gabor Filter Algorithm", Materials Science Forum, Vols. 697-698, pp. 491-494, 2012
Online since
September 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yan Bei Liu, Zhi Tao Xiao, Fang Zhang, Jun Wu
Chapter 1: Material Science and Technology
Abstract:In this paper, a fabric defect detection method based on Gabor filter bank is present. In this method, the parameters of Gabor filter bank...
229
Authors: Yu Jun Zhang, Miao Yu, Wan Tong Zhao, Yang Xu
Chapter 2: Manufacturing Technology
Abstract:Minutiae-based matching is the main method of fingerprint recognition. Anil K. Jain brought forward a method (FingerCode) which use Gabor...
1295
Authors: Yi Hong Li, Zhao Yang Lu, Jing Li, Ling Ling Cui
Chapter 2: Advanced Manufacturing Systems and Equipment
Abstract:The big differences of the texture and shapes in the same type and certain similarities among heterogeneous types result in the difficult...
634
Authors: Peng Fei Li, Huan Huan Zhang, Xue Juan Kang, Jun Feng Jing
Chapter 5: Measurements, Monitoring and Sensor
Abstract:This paper aims at investigating a method for tackling the problem of automated fabric defect detection. A new scheme for defect detection...
1176
Authors: Yao Cong Liang, Jian Gao, Chuan Xia Jian, Xin Chen
Chapter 20: Computer Applications in Industry and Engineering
Abstract:The OLED defects generated in the manufacturing process restrict the development of OLED industry, machine vision based automatic...
3153