Open Access
Issue
MATEC Web of Conferences
Volume 61, 2016
The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
Article Number 02010
Number of page(s) 6
Section Chapter 2 Electronic Technology and Electrical Engineering
DOI https://doi.org/10.1051/matecconf/20166102010
Published online 28 June 2016
  1. A.F. Frangi, W.J. Niessen, M.A.Viergever. Three-dimensional Modeling for Functional Analysis of Cardiac Images: A Review. IEEE Transactions on medical imaging, 2001, 20 (1): 2–5. [CrossRef] [Google Scholar]
  2. American Heart Association. Heart and Stroke Statistical Update, 1998. Website: http://www.Americanheartorg. [Google Scholar]
  3. LiPei-hua, Zhang Tian-wen. Review on active contour model (Snake model) [J]. Journal of Software, 2000, 11 (6): 751–757. [Google Scholar]
  4. C.L.Poh, R.I.Kitriey, R.B.K. Shrestha. Visualisation of cardiac wall motion using MR images. Computers in Cardiology, 2005, 17–19. [Google Scholar]
  5. N.Paragios.A variational approach for the segmentation of the left ventricle in MR cardiac image analysis. International Journal of Computer Vision, 2002, 50 (3): 345–362. [CrossRef] [Google Scholar]
  6. X.Zeng, L.Staib, R.Schukz, and J. Duncan. Volumetric Layer Segmentation Using Coupled Surfaces Propagation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Santa Barbara, USA, 23-25 Jun. 1998, 708–715. [Google Scholar]
  7. Singh C, Bhatia N, Kaur A. Hough transform based fast skew detection and accurate skew correction methods. Pattern Recognit 2008; 41: 3528–46. [CrossRef] [Google Scholar]
  8. Gonzalez RC, Woods RE. Digital image processing. Prentice Hall; 2008. [Google Scholar]
  9. Canny J. A computational approach for edge detection. IEEE Trans Pattern [Google Scholar]
  10. E. Baeker, A. Jain. A clustering Performance measure based on fuzzy set decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligenee, 1981, 3(1):66–75 [CrossRef] [Google Scholar]
  11. Goldberg N. Colour image quantization for high resolution graphics display [J]. Image and Vision Computing, 1991, 9(5): 303–312. [CrossRef] [Google Scholar]
  12. Mignotte M. Segmentation by fusion of histogram-based k-means clusters in different color spaces [J]. IEEE Transactions on Image Processing, 2008, 17(5): 780–787. [CrossRef] [Google Scholar]
  13. Linde Y, Buzo A, Gray R. An algorithm for vector quantizer design [J]. IEEE Transactions on Communications, 1980, 28 (1): 84–95. [CrossRef] [Google Scholar]
  14. Al-Daoud M, Roberts S .New methods for the initialisation of clusters [J]. Pattern Recognition Letters, 1996, 17 (5) : 451–455. [CrossRef] [Google Scholar]
  15. Turnbull D, Elkan C. Fast recognition of musical genres using RBF networks [J]. IEEE Transactions on Knowledge and Data Engineering, 2005, 17(4): 580–584. [CrossRef] [Google Scholar]
  16. Martin D, Fowlkes C, Tal D, et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics [C] Proceedings of 2001 International Conference on Computer Vision. Washington, DC: IEEE Computer Society, 2001: 416–423. [Google Scholar]
  17. K.P. Philip. Automatic detection of myocardial contours in cine computed topographic images. PhD thesis, University of Iowa, 1991 [Google Scholar]
  18. Da-meng Dai, De-jun Mu, “A Fast Approach to K-means Clustering for Time Series Based on Symbolic Representation”, International Journal of Advancements in Computing Technology, vol. 4, no. 5, pp. 233–239, 2012. [Google Scholar]

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