Diffused expectation maximisation for image segmentation

Electronics Letters

Volumn 40, Issue 18, 2004, Pages 1107-1108

  Boccignone, G ^a   Ferraro, M ^b   Napoletano, P ^a  

^a UNIVERSITY OF SALERNO   (Italy)

^b UNIVERSITY OF TURIN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANISOTROPY; DIFFUSION; FUNCTIONS; LYAPUNOV METHODS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; THEOREM PROVING;

DIFFUSED EXPECTATION MAXIMIZATION (DEM); LABEL BOUNDARIES; PROBABILISTIC MODELS; SPATIAL ENTROPY;

IMAGE SEGMENTATION;

EID: 4544268989     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20045792     Document Type: Article

References (4)

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2. Weickert, J.: 'Applications of nonlinear diffusion in image processing and computer vision', Acta Math. Univ. Comenianae, 2001, 70, p. 3350
3. Sanjay-Gopal, S., and Hebert, T.J.: 'Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm', IEEE Trans. Image Process, 1998, 7, pp. 1014-1028
4. Haker, S., Sapiro, G., and Tannenbaum, A.: 'Knowledge-based segmentation of SAR data with learned priors', IEEE Trans. Image Process, 2000, 9, pp. 299-301