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
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;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.712061
