Micro-crack Detection in Heterogeneously Textured Surface of Polycrystalline Solar Cell

  • Ko, JinSeok (School of Electrical, Electronics, and Communication Engineering Korea University of Technology and Education) ;
  • Rheem, JaeYeol (School of Electrical, Electronics, and Communication Engineering Korea University of Technology and Education) ;
  • Oh, Ki-Won (School of Electrical, Electronics, and Communication Engineering Korea University of Technology and Education) ;
  • Choi, Kang-Sun (School of Electrical, Electronics, and Communication Engineering Korea University of Technology and Education)
  • 투고 : 2015.08.21
  • 심사 : 2015.09.22
  • 발행 : 2015.09.30

초록

A seam carving based micro-crack detection method is proposed which aims at detecting the micro-crack regions in heterogeneously textured surface of polycrystalline solar cells. By calculating the seam which is a connected path of low energy pixels in the image, the micro-crack regions can be detected. Experimental results show that the proposed seam carving based micro-crack detection method has superior efficiency in detecting the micro-crack without background noise pixels and the algorithm's computation time is less than the conventional algorithm.

키워드

참고문헌

  1. Tsai, D. M., Chang, C. C. and Chao, S. M., "Microcrack inspection in heterogeneously textured solar wafers using anisotropic diffusion," Image and Vision Computing, Vol. 28, pp. 491-501, 2010. https://doi.org/10.1016/j.imavis.2009.08.001
  2. Ko, J. and Rheem, J., "Solar Cell Classification using Gaussian Mixture Models," Journal of the semiconductor & display technology, vol. 10, no. 2, pp. 1-5, 2011.
  3. Ko, J. and Rheem, J., "Micro-crack Detection in Polycrystalline Solar Cells using Improved Anisotropic Diffusion Model," Journal of The Institute of Electronics Engineers of Korea, vol. 50, no. 5, pp. 1203-1210, 2013.
  4. Ko, J. and Rheem, J., "Fuzzy anisotropic diffusion and its application to micro-crack detection in polycrystalline solar wafers," in Proc. of ICEIC, pp. 92-93, 2012.
  5. Ko, J. and Rheem, J., "Defect detection of polycrystalline solar wafers using local binary mean," The International Journal of Advanced Manufacturing Technology, pp. 1-12, 2015.
  6. Avidan, S. and Shamir, A., "Seam carving for content-aware image resizing," ACM Transactions on graphics (TOG), Vol. 26, pp.10, 2007.
  7. Han, J.-W., Choi, K.-S., Wang, T.-S., Cheon, S.-H., and Ko, S.-J., "Improved seam carving using a modified energy function based on wavelet decomposition," IEEE International Symposium Consumer Electronics, Kyoto, Japan, May 2009.
  8. Choi, K.-S., "Content-aware three-dimensional image retargeting for mobile devices," Optical Engineering, Vol. 51, pp. 067014-1-10, Jun. 2012. https://doi.org/10.1117/1.OE.51.6.067014