Domain conversion with local posteriors for image segmentation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2004, Pages

  Bak, EunSang ^a   Najarian, Kayvan ^b  

^a University of North Carolina at Charlotte   (United States)

^b UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGING TECHNIQUES; INTEGRATION; ITERATIVE METHODS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; PROBABILITY; STATISTICAL METHODS;

INTRINSIC ERRORS; ITERATIVE SEGMENTATION PROCESSES; LOCAL POSTERIOR FUNCTIONS; SEGMENTATION METHODS;

IMAGE SEGMENTATION;

EID: 4544370661     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

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2. T. Kurita, N. Otsu and N. Abdelmalek, "Maximum likelihood thresholding based on population mixture models," Pattern Recognition, vol. 25, no. 10, pp. 1231-1240, 1992.
3. C.K. Leung and F.K. Lam, "Maximum a posteriori spatial probability segmentation," IEE Proceedings: Vision, Image and Signal Processing, vol. 144, no. 3, pp. 161-167, June 1997.
4. K.V. Mardia and T.J. Hainsworth, "A spatial thresholding method for image segmentation," IEEE Trans. Pattern Anal. Machine Intell., vol. 10, no. 6, pp.919-927, Nov. 1988.