Development of a Real-time Machine Vision System for Detecting Defeats of Cord Fabrics
Automatic detection techniques based on machine vision can be used in fabric industry for quality control, which constantly pursues intelligent methods to replace human inspections of product. This work introduces the principle components of a real-time machine vision system for defeat detection of cord fabrics, which is usually a challenging task in practice. The work aims at solving some difficulties usually incurring in such kind of tasks. The design and implementation of the algorithm, software and hardware are introduced. Based on the Gabor wavelet techniques, the system can automatically detect regular texture defects. Our experiments show the proposed algorithm is favorably suited for detecting several types of cord fabric defects. The system testing has been carried in both on-line and off-line situations. The corresponding results show the system has good performance with high detection accuracy, quick response and strong robustness.
machine vision cord fabric defect detection gabor wavelet
Wuyi Zhang Qiangsong Zhao Liang Liao
School of Electronic Information Zhongyuan University of Technology Zhengzhou, P.R.China School of Electronic Information Zhongyuan University of Technology/ Zhengzhou, P.R.China School of
国际会议
太原
英文
539-543
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）