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J-GLOBAL ID:201502237062594437   Reference number:15A0546420

A Spatially Correlated Mixture Model for Image Segmentation

画像セグメンテーションの空間相関混合モデル
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Material:
Volume: E98.D  Issue:Page: 930-937 (J-STAGE)  Publication year: 2015 
JST Material Number: U0469A  ISSN: 1745-1361  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Graphic and image processing in general  ,  Numerical computation 
Reference (10):
  • [1] A.P. Dempster, N.M. Laird, and D.B. Rubin, “Maximum likelihood from incomplete data via the EM algorithm,” J. Royal Statistical Society. Series B (Methodological), vol.39, pp.1-38, 1977.
  • [2] G. McLachlan and D. Peel, Finite Mixture Models, Wiley-Interscience, 2000.
  • [3] S. Sanjay-Gopal and T.J. Hebert, “Bayesian pixel classification using spatially variant finite mixtures and the generalized em algorithm,” IEEE Trans. Image Process., vol.7, no.7, pp.1014-1028, 1998.
  • [4] K. Blekas, A. Likas, N.P. Galatsanos, and I.E. Lagaris, “A spatially constrained mixture model for image segmentation,” IEEE Trans. Neural Netw., vol.16, no.2, pp.494-498, 2005.
  • [5] C.E. Rasmussen and C.K.I. Williams, Gaussian Process for Machine Learning, MIT Press, 2006.
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