DocumentCode
2787337
Title
Comparative evaluation of texture analysis algorithms for defect inspection of textile products
Author
Odemir, S. ; Baykut, A. ; Meylani, R. ; Ercil, A. ; Ertuzun, A.
Author_Institution
Comput. Eng., Bogazici Univ., Istanbul, Turkey
Volume
2
fYear
1998
fDate
16-20 Aug 1998
Firstpage
1738
Abstract
Quality control is one of the basic issues in textile industry. Texture analysis plays an important role in the automated visual inspection of texture images to detect their defects. For this purpose, model-based and feature-based methods are implemented and tested for textile images in a laboratory environment. The methods are compared in terms of their success rates in determining the defects
Keywords
automatic optical inspection; flaw detection; quality control; textile industry; QC; automated visual inspection; defect inspection; feature-based method; model-based method; quality control; textile products; texture analysis algorithm evaluation; Algorithm design and analysis; Filters; Image analysis; Image texture analysis; Inspection; Laboratories; Radio access networks; Testing; Textile products; Textile technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.712061
Filename
712061
Link To Document