Nonparametric training of snakes to find indistinct boundaries

Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis

Volumn , Issue , 2001, Pages 139-144

  Fenster, Samuel D ^a   Gary Kuo, Chun Bin ^a   Kender, John R ^a  

^a City College of the City University of New York   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; FORMABILITY; IMAGE ANALYSIS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

IMAGE GRADIENTS; NONPARAMETRIC TRAINING;

IMAGE SEGMENTATION;

EID: 0035700574     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Snakes: Active contour models
2. Sectored snakes: Evaluating learned-energy segmentations
3. Mathematical considerations in the estimation of spectra
4. "Brownian strings": Segmenting images with stochastically deformable contours
5. Hierarchical chamfer matching: A parametric edge matching algorithm
6. An empirical distribution function for sampling with incomplete information