Abstract:

A novel detection system based on normalized cross correlation and image analysis is proposed to detect the defects of printed fabrics. Matlab 7.0 is used as the software tool to construct the system. During the detection process, a fast normalized cross correlation computation is proposed based on the theory of sum-table scheme. The detection of the printed fabric defect simulated in software proves that the system can inspect the normal defects, such as color displacement, color aberration, of printed fabrics automatically. The experimental detection for actual printed fabric shows that the effectiveness and robustness of the proposed in this paper. By comparing the detection results of sub-windows with different sizes, 25 pixels×25 pixels are selected as the parameter of the sub-window in the final defect detection system.