Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2016, Article ID 3909645, 9 pages
http://dx.doi.org/10.1155/2016/3909645
Research Article

Unsupervised Joint Image Denoising and Active Contour Segmentation in Multidimensional Feature Space

1College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
3KTH Royal Institute of Technology, 10044 Stockholm, Sweden

Received 28 April 2016; Accepted 26 June 2016

Academic Editor: Giuseppina Colicchio

Copyright © 2016 Qi Ge et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” Journal of the Royal Statistical Society Series B, vol. 39, no. 1, pp. 1–38, 1977. View at Google Scholar · View at MathSciNet
  2. J. C. Bezdek, Pattern Recognition With Fuzzy Objective Function Algorithms, Plenum Press, New York, NY, USA, 1981. View at MathSciNet
  3. V. Caselles, R. Kimmel, and G. Sapiro, “Geodesic active contours,” International Journal of Computer Vision, vol. 22, no. 1, pp. 61–79, 1997. View at Publisher · View at Google Scholar · View at Scopus
  4. C. Li, C.-Y. Kao, J. C. Gore, and Z. Ding, “Minimization of region-scalable fitting energy for image segmentation,” IEEE Transactions on Image Processing, vol. 17, no. 10, pp. 1940–1949, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  5. A. K. Mishra, P. W. Fieguth, and D. A. Clausi, “Decoupled active contour (DAC) for boundary detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 2, pp. 310–324, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. P. Arbeláez, M. Maire, C. Fowlkes, and J. Malik, “Contour detection and hierarchical image segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 5, pp. 898–916, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. Q. Ge, L. Xiao, J. Zhang, and Z. H. Wei, “An improved region-based model with local statistical features for image segmentation,” Pattern Recognition, vol. 45, no. 4, pp. 1578–1590, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. H. Wu, V. Appia, and A. Yezzi, “Numerical conditioning problems and solutions for nonparametric i.i.d. statistical active contours,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 6, pp. 1298–1311, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. N. Sochen, R. Kimmel, and R. Malladi, “A general framework for low level vision,” IEEE Transactions on Image Processing, vol. 7, no. 3, pp. 310–318, 1998. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  10. X. Bresson, S. Esedoglu, P. Vandergheynst, J.-P. Thiran, and S. Osher, “Fast global minimization of the active contour/snake model,” Journal of Mathematical Imaging and Vision, vol. 28, no. 2, pp. 151–167, 2007. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  11. D. Mumford and J. Shah, “Optimal approximations by piecewise smooth functions and associated variational problems,” Communications on Pure and Applied Mathematics, vol. 42, no. 5, pp. 577–685, 1989. View at Publisher · View at Google Scholar · View at MathSciNet
  12. B. Dizdaroğlu, E. Ataer-Cansizoglu, J. Kalpathy-Cramer, K. Keck, M. F. Chiang, and D. Erdogmus, “Structure-based level set method for automatic retinal vasculature segmentation,” EURASIP Journal on Image and Video Processing, vol. 2014, no. 1, article 39, 26 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. http://www.cma.mgh.harvard.edu/ibsr/.
  14. L. R. Dice, “Measures of the amount of ecologic association between species,” Ecology, vol. 26, no. 3, pp. 297–302, 1945. View at Publisher · View at Google Scholar