2013-01-19
Automatic Recognition of Metal Fiber Per Unit Area for Electromagnetic Shielding Fabric Based on Computer Image Analysis
By
Progress In Electromagnetics Research Letters, Vol. 37, 101-111, 2013
Abstract
Metal fiber content is often a measured parameter for electromagnetic shielding fabric (ESF). A commonly used method is combustion measuring, but measuring speed was slow and measured fabric damaged. This study proposes a new method based on computer image analysis for recognition of metal fiber content per unit area (MFCPUA) of the ESF, which aims at analyzing the MFCPUA without damage and providing a basis for the shielding performance evaluation of the ESF. Local region images of garment or fabric are obtained using high definition shooting system to build a gray matrix model which can describe the image. A recognition algorithm for fabric density based on gray extreme judgment is then given to construct a computation for the MFCPUA. The recognition results obtained with the proposed method is compared with the experimental results from manual combustion measuring, and the error reason and the application are also analyzed. Results of experiments and analyses show that the proposed method can identify the local fabric density with lossless and accurately calculate the MFCPUA, which provide a new method for electromagnetic shielding performance evaluation of the fabric and garment by computer technique.
Citation
Zhe Liu, Xiuchen Wang, and Zhong Zhou, "Automatic Recognition of Metal Fiber Per Unit Area for Electromagnetic Shielding Fabric Based on Computer Image Analysis," Progress In Electromagnetics Research Letters, Vol. 37, 101-111, 2013.
doi:10.2528/PIERL12120104
References

1. Jayasree, P. V. Y., V. S. S. N. S. Baba, B. Prabhakar Rao, and P. Lakshman, "Analysis of shielding effectiveness of single, double and laminated shields for oblique incidence of EM waves," Progress In Electromagnetics Research B, Vol. 22, 187-202, 2010.
doi:10.2528/PIERB10051305        Google Scholar

2. Ching, I. S. and T. C. Jin, "Effect of stainless steel-containing fabrics on electromagnetic shielding effectiveness," Textile Res. J., Vol. 74, No. 1, 51-54, 2004.
doi:10.1177/004051750407400109        Google Scholar

3. Knittel, D. and E. Schollmeyer, "Electrically high-conductive textiles," Synthetic Metals, Vol. 159, No. 14, 1433-1437, 2009.
doi:10.1016/j.synthmet.2009.03.021        Google Scholar

4. Wang, X. C. and Z. Liu, "A new computation of shielding effectiveness of electromagnetic radiation shielding fabric," Progress In Electromagnetics Research Letters, Vol. 33, 177-186, 2012.        Google Scholar

5. Mogli, F., V. Mariani Primiani, and A. P. Pastore, "Modeling of the human exposure inside a random plane wave field," Progress In Electromagnetics Research B, Vol. 29, 251-267, 2011.
doi:10.2528/PIERB11022506        Google Scholar

6. Zenteno-Mateo, B., V. Cerdan-Ramirez, B. Flores-Desirena, M. P. Sampedro, E. Juarez-Ruiz, and F. Perez-Rodriguez, "Effective permittivity tensor for a metal-dielectric superlattice," Progress In Electromagnetics Research Letters, Vol. 22, 165-174, 2011.        Google Scholar

7. Osman, M. A. R., M. K. Abd Rahim, N. A. Samsuri, H. A. M. Salim, and M. F. Ali, "Embroidered fully textile wearable antenna for medical monitoring applications," Progress In Electromagnetics Research, Vol. 117, 321-337, 2011.        Google Scholar

8. Chung, F. and J. Kuo, "Computerized color separation system for printed fabrics by using backward-propagation neural network," Fibers and Polymers, Vol. 8, No. 5, 529-536, 2007.
doi:10.1007/BF02875876        Google Scholar

9. Aruvazhagan, S. and L. Ganesan, "Texture classification using wavelet transform," Pattern Recognition Letters, Vol. 3, No. 24, 1513-1521, 2003.
doi:10.1016/S0167-8655(02)00390-2        Google Scholar

10. Liu, Z. and X. C. Wang, "Influence of fabric weave type on the effectiveness of electromagnetic shielding woven fabric," Journal of Electromagnetic Waves and Applications, Vol. 26, No. 14-15, 1848-1856, 2012.
doi:10.1080/09205071.2012.717352        Google Scholar

11. Qian, Z. and Z. J. Chen, Electromagnetic Compatibility Design and Interference Suppression Technology, Zhejiang University Press, Hangzhou, 2000.