PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH
DOI: 10.1109/nafips.2000.877392
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An adaptive deterministic annealing approach for medical image segmentation

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Cited by 4 publications
(4 citation statements)
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“…ζ i j log ζ i j ; (11) here observe that Γ(P, P) = L(P). Therefore ∆(P, P + ) = Γ(P, P) − Γ(P + , P + ),…”
Section: Convergence Analysismentioning
confidence: 77%
See 2 more Smart Citations
“…ζ i j log ζ i j ; (11) here observe that Γ(P, P) = L(P). Therefore ∆(P, P + ) = Γ(P, P) − Γ(P + , P + ),…”
Section: Convergence Analysismentioning
confidence: 77%
“…We show that ∆ 1 ≥ 0 by showing that Γ(P + , σ ) (a quadratic function of σ with fixed P + ) achieves its minimum when σ = P + . The stationary point is obtained by setting ∂ Γ ∂ σ i j (P + ,σ ) = 0 in (11), which yields…”
Section: Convergence Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Additional classification methods include clustering [ 16 , 17 ], fuzzy classification [ 18 ], neural networks [ 19 ], deterministic annealing [ 7 ]. Hybrid “neuro-fuzzy” methods, see [ 2 , 20 , 21 ], combining fuzzy logic and neural networks perform an unsupervised learning process. Another class of statistical methods is based on Markov Random Field (MRF) [ 22 25 ].…”
Section: Introductionmentioning
confidence: 99%