期刊文献+

织物瑕疵的实时光电检测系统 被引量:3

Real-time fabric defect photoelectric detection system
下载PDF
导出
摘要 针对织物人工视觉检测效率低下的问题,研究了基于单片机的光学检测系统,实现了织物实时高效的自动瑕疵检测。采用光透射的单点扫描方法来实现稀疏经纬线的织物的检测具有高信噪比的优点,因为在这种情况下透射光远远大于发射光。由光电传感器的输出信号可以提取织物的瑕疵信息,此信号经过放大滤波并采样至单片机,最后经单片机定量分析和评估并发出瑕疵报警。研究结果表明,基于单片机的光电检测系统有较好的实时性、鲁棒性,并具有较高的检测精度,该系统可以推广至纺织企业,具有较好的应用前景。 Aiming at solving the low efficiency problems of manual visual fabric defect inspection,a real-time fabric defect photoelectric detection system was investigated. Instead of detection of light reflection from fabric,a light transmission technique with higher signal-to- noise rate was employed in the system for evaluating the fabric defect. A photodiode was used to record the defect signal of fabric. The weak signal was amplified, filtered, and then converted to a digital signal by an analog-to-digital converter. Consequently, the digital signal was sent to a microcomputer. The signal was quantitatively evaluated and finally a defect alarm was triggered. From the experimental results,the timeliness,robustness and detection precision of the system are demonstrated,therefore,it can be recommended for the applications in fabric industries.
出处 《机电工程》 CAS 2011年第11期1324-1326,共3页 Journal of Mechanical & Electrical Engineering
基金 国家自然科学基金资助项目(51005077) 福建省杰出青年基金资助项目(2011J06020) 教育部回国留学人员启动基金资助项目(教外司留[2008]890号) 福州大学人才基金资助项目(XRC-1024)
关键词 织物瑕疵检测 光电检测 单片机 fabric defect detection photoelectric detection microcomputer
  • 相关文献

参考文献10

二级参考文献59

  • 1罗钟铉,刘成明.灰度图像匹配的快速算法[J].计算机辅助设计与图形学学报,2005,17(5):966-970. 被引量:72
  • 2郭正强 于靖 等.有关光电二极管用作激光功率测量中几个问题的考虑[J].激光与光学,1986,(1):8-10.
  • 3张德友,赵志英,涂时亮编.单片机原理、应用与实验[M].上海:复旦大学出版社,2000.190
  • 4Cohen F S,Graph Models Image Process,1992年,54卷,3期,239页
  • 5雷玉堂.光电检测技术[M].北京:中国计量出版社,1995..
  • 6高雅之 高岳.光电检测技术[M].北京:国防工业出版社,1999..
  • 7童诗白.模拟电子技术基础(第4版)[M].北京:高等教育出版社,2000..
  • 8Michael Unser. Texture classification and segmentation multiresolution autoregressive models [ J ]. Pattern Recognition, 1998, 25(2) : 173 - 188.
  • 9Jin-Seon, Ching Y. Analysis of class separation for handwriting recognition[J]. [EEE Transactions on Pattern Analysis and Machine Intelligence, 1999,21 (10) : 1089 - 1094.
  • 10章敏晋.图像处理和分析[M].北京:清华大学出版社,2003.43-132.

共引文献89

同被引文献39

  • 1高晓丁,左贺.织物自动检测系统设计与实现[J].纺织学报,2007,28(12):127-130. 被引量:4
  • 2ZHONG S, Z/-IANG Q, YAO L, et al. Fabric defect detec- tion using wavelet-enhanced single-point photoelectric sens- ing system [J]. Applied Mechanics and Materials, 2012, 162:497-504.
  • 3NGAN H YT, PANG G K H, YUNGN H C. Automated fabric defect detection-A review [ J ]. Image and Vision Computing, 2011,29:442 -458.
  • 4HARALICK R M, SHANMUGAM K, DINSTEIN I. Textural features for image classification [ J ]. IEEE Trans. Systems, Man and Cybernetics, 1973,3 (6) :610-621.
  • 5KASPARIS T, TZANNES N S, BASSIOUNI M, et al. Tex- ture description using fractal and energy features [ J ]. Com- puters & Electrical Engineering, 1995,21 ( 1 ) :21-32.
  • 6CHAN C H, PANG G K H. Fabric defect detection by Fou- rier analysis [ J ]. IEEE Trans. Industry Applications, 2000,36(5) : 1267-1276.
  • 7YANG X Z, PANG G K H, YUNG N H C. Discriminative fabric defect detection using adaptive wavelets [ J ]. Optical Engineering, 2002,41 ( 12 ) : 3116 -3126.
  • 8NAVARRO E R, MILLAN M S, PLADELLORENS J. De- tection of local defects in textile webs using Gabor filters [J]. Oi~tical Enaineerina. 1998.37 ( 8 ) :2297-2307.
  • 9SERAFIM A F L. Segmentation of Natural Images Based on Muhi-resolution Pyramids Linking of the Parameters of an Autoregressive Rotation Invmiant Model Application toLeather Defect Detection[ C]//Proc. IEEE llth IAPR Int' 1 Conf. Pattern Recognition. Conference C: Image, Speech & Signal Analysis. Hagne: Is. n. ] ,1992:41-44.
  • 10COHEN F S, FAN Z G, ATYALI S. Automated inspection of textile fabric using textural models [ J ]. IEEE Trans. Pattern Analysis & Machine Intelligence, 1991,13 ( 8 ) : 803 -808.

引证文献3

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部