The Real-Time Vision System for Fabric Defect Detection with Combined Approach

A real-time machine vision detection system based on computer for fabric defect detection is presented in this paper. Hardware platform and software algorithm are the two main parts included in it. In hardware platform, image acquisition subsystem and transmission operated synchronously to achieve synchronization between motion and acquisition through the encoder and video capture card. Moreover, double-buffer technique with an alternative acquisition mode is applied to make the system more real-time. Each defect detection algorithm is regarded as a single detection unit which is integrated in the software system. Then different detection units are employed at different fabrics and defects to gain better detection efficacy. It could be concluded that the proposed system provides a lower cost, higher performance and more excellent expansibility solution for enterprises via the variety of experiments.