JOURNAL OF TEXTILE RESEARCH ›› 2012, Vol. 33 ›› Issue (4): 60-63.

Previous Articles     Next Articles

Automatic Recognition of Lateral and Longitudinal Density in Sweater

Xiu-chen Wang   

  • Received:2011-06-18 Revised:2012-01-10 Online:2012-04-21 Published:2012-03-23
  • Contact: Xiu-chen Wang E-mail:nbwangxiuchen@163.com

Abstract: here is not a mature algorithm for density recognition of sweater texture at present. This paper carries out reseach with this problem, and an automatic recognition method based on extreme cluster is proposed. Firstly, actual size of any recognition areas is calculated, image is made enhancement processing with linear method. Then a fusion algorithm of extreme is proposed. With this algorithm, gray peak cluster and valley cluster generated by loop column and void part in image are extracted, same extreme clusters in same position are fused, and fusion graph of gray extreme cluster for image change law is drew. Finially, calculation formula of lateral and longitudinal density of sweater texture is given. The algorithm in this paper is verificated by Matlab 7.0 and result is concluded that recognition accuracy is more than 98% for jersey and rib texture.

No related articles found!
Viewed
Full text
393
HTML PDF
Just accepted Online first Issue Just accepted Online first Issue
0 0 0 0 0 393

  From Others local
  Times 338 55
  Rate 86% 14%

Abstract
969
Just accepted Online first Issue
0 0 969
  From Others local
  Times 904 65
  Rate 93% 7%

Cited

Web of Science  Crossref   ScienceDirect  Search for Citations in Google Scholar >>
 
This page requires you have already subscribed to WoS.
  Shared   
  Discussed   
No Suggested Reading articles found!