CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

An Intelligent Scheme for Fault Detection in Textile Web Materials

by K. V. Naveen Kumar, U. S. Ragupathy
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 10
Year of Publication: 2012
Authors: K. V. Naveen Kumar, U. S. Ragupathy
10.5120/6945-9316

K. V. Naveen Kumar, U. S. Ragupathy . An Intelligent Scheme for Fault Detection in Textile Web Materials. International Journal of Computer Applications. 46, 10 ( May 2012), 24-29. DOI=10.5120/6945-9316

@article{ 10.5120/6945-9316,
author = { K. V. Naveen Kumar, U. S. Ragupathy },
title = { An Intelligent Scheme for Fault Detection in Textile Web Materials },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 10 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number10/6945-9316/ },
doi = { 10.5120/6945-9316 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:23.893086+05:30
%A K. V. Naveen Kumar
%A U. S. Ragupathy
%T An Intelligent Scheme for Fault Detection in Textile Web Materials
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 10
%P 24-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Indian textile industry has a major impact on the world economy through millenniums. At present all the textile industries aim to produce competitive fabrics. The competition depends mainly on productivity and quality of the fabrics produced by industry. In the textile sector, there are huge losses due to faulty fabrics. Fault identification in the manufactured fabric is the most complicated process in the textile industry. Existing fabric inspection methods are carried out by human visual inspection, or by imported machines. But it is time consuming and costly. The proposed method of computational intelligence based fabric inspection method aims to produce a low cost method with higher efficiency. The video of the knitted fabric that is rolled is being captured and it is converted into individual frames. Then the extracted frames are processed to find its defects and those defects are classified using computational techniques.

References
  1. Atiqul Islam, Shamim Akhter, and Tumnun E. Mursalin(2006)," Automated TextileDefect Recognition System Using Computer Vision and Artificial Neural Networks", World Academy of Science, Engineering and Technology
  2. Bradshaw. M(1999), "The application of machine vision to the automated inspection of knitted fabrics,"Mechatronics, vol. 5, no. 2/3, pp. 233-243
  3. B. N. Nickolay and H. Schmalfu(1993), "Automatic fabric inspection – utopia or reality?," Mellind Textilberichte, vol. 73,pp. 33 37
  4. C. -S. Cho, B. -M. Chung and M. -J. Park(2005), "Development of real-time vision-based fabric inspection system", IEEE Trans. Ind. Electron. , vol. 52, no. 4, pp. 1073-1079
  5. J. L. Dorrity and G. Vachtsevanos(1996), "On-line defect detection for weaving systems," Proc. IEEE AnnualTechnical Conf. Textile, Fiber, and Film Industry, pp. 1-6
  6. Kumar A. , "Computer-Vision-Based Fabric Defect Detection(2008): ASurvey", IEEE Trans. of Industrial Electronics, vol. 55,No. 1, pp. 348-363
  7. Mahajan P. M. , Kolhe S. R. And Patil P. M(2009), "A review of automatic fabric defect detection techniques" Advances in Computational Research,Volume 1,Issue 2,pp-18-29
  8. Newman T. S. and A. K. Jain(1995), "A survey of automated visual inspection,"Comput. Vis. Image Under. ,vol. 61, no. 2, pp. 231-262, 1995
  9. Siew. L. H. , R. M. Hodgson, and E. J. Wood(1995), "Texture measures for carpet wear assessment," IEEE Trans. Patt. Anal. Machine Intell. , vol. 10, pp. 92-105
  10. Srinivasan. K. , P. H. Dastor, P. Radhakrishnaihan, and S. Jayaraman(1992),"FDAS: A knowledge-based frame detection work for analysis of defects in woven textile structures," J. Text. Inst. , vol. 83, no. 3, pp. 431-447
Index Terms

Computer Science
Information Sciences

Keywords

Computational Intelligence Fabric Inspection fault Identification Feature Extraction Frame Extraction

Powered by PhDFocusTM