Image segmentation based on prior probabilistic shape models

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

Volumn 4, Issue , 2002, Pages

  Litvin, Andrey ^a   Karl, William C ^a  

^a Boston University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY CONDITIONS; CURVE FITTING; FEATURE EXTRACTION; MARKOV PROCESSES; MATHEMATICAL MODELS; MONTE CARLO METHODS; OBJECT RECOGNITION; PROBABILITY;

BAYESIAN FRAMEWORK; CURVE EVOLUTION; MONTE CARLO MARKOV CHAIN;

IMAGE SEGMENTATION;

EID: 0036287908     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5745427     Document Type: Conference Paper

References (6)

1. Determining the similarity of deformable shapes
2. Sectored snakes: Evaluating learned-energy segmentations
3. Deformable 2-D template matching using orthogonal curves
4. Boundary finding with prior shape and smoothness models
5. A statistical approach to curve evolution for image segmentation
6. Embedding Gestault laws in Markov Random Fields