Automated detection and neural classification of local defects in textile web

This paper describes a vision-based fabric inspection system. The general hardware and software platform, developed for solving this problem, is presented and a powerful novel method for defect inspection is proposed. Using a reduced number of defect classes the system gives consistent repeatable results in the experimental and industrial implementations.