Growing snakes: Active contours for complex topologies

Pattern Recognition

Volumn 36, Issue 2, 2003, Pages 475-482

  Velasco, Fernando A ^a   Marroquin, Jose L ^b  

^a UNIVERSIDAD MICHOACANA DE SAN NICOLÁS DE HIDALGO   (Mexico)

^b CENTRO DE INVESTIGACIÓN EN MATEMÁTICAS   (Mexico)

Author keywords

Active contours; Early vision; Image segmentation; Markov random fields; Snakes

Indexed keywords

CONTOUR MEASUREMENT; IMAGE ANALYSIS; TOPOLOGY;

GROWING SNAKES;

PATTERN RECOGNITION;

IMAGE ANALYSIS;

EID: 0036487245     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(02)00045-6     Document Type: Article

References (18)

1. Snakes, active contours models
2. On active contour models and balloons, computer vision, graphics and image processing
3. Finite-element methods for active contour models and balloons for 2-D and 3-D images
4. Topologically adaptable snakes
5. Improving snake performance via a dual active contour
6. A robust snake implementation: A dual active contour
7. Sandwich snakes: Robust active contours
8. Gradient vector flow: A new external force for snakes
9. Geodesic active contours
10. Shape modeling with front propagation: A level set approach
11. Numerical algorithms for propagating interfaces: Hamilton-Jacobi equations and conservation laws
12. Image segmentation by reaction-diffusion bubbles
13. Deterministic interactive particle models for image processing and computer graphics
14. Probabilistic solution of ill-posed problems in computational vision
15. The MPM-MAP algorithm for image segmentation
16. Gauss-Markov measure field models for low-level vision