A pseudo-distance map for the segmentation-free skeletonization of gray-scale images

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2, Issue , 2001, Pages 18-23

  Jang, Jeong Hun ^a   Hong, Ki Sang ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; EDGE DETECTION; FEATURE EXTRACTION; IMAGE SEGMENTATION; MATHEMATICAL MODELS; PARTIAL DIFFERENTIAL EQUATIONS;

EDGE STRENGTH FUNCTION; EUCLIDEAN DISTANCE MAP; GRAY SCALE IMAGES; PSEUDO DISTANCE MAP; SKELETONIZATION;

COMPUTER VISION;

EID: 0034858182     PISSN: None     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICCV.2001.937586     Document Type: Article

References (22)

1. A transformation for extracting new descriptions of shape
2. A fast parallel algorithm for thinning digital patterns
3. Hierarchic voronoi skeletons
4. Ridge points in euclidean distance maps
5. Euclidean skeletons
6. Shapes, shocks, and deformations I: The components of two-dimensional shape and the reaction-diffusion space
7. The Hamilton-Jacobi skeleton
8. Detection of curvilinear structures using the euclidean distance transform
9. Extraction of shape skeletons from grayscale images
10. Zoom-invariant vision of figural shape: The mathematics of cores
11. Edge detection and ridge detection with automatic scale selection
12. Segmentation-free skeletonization of gray-scale images via PDE's
13. Coupled geometry-driven diffusion equations for low-level vision
14. Scale-space and edge detection using anisotropic diffusion
15. On the approximation of functionals depending on jumps by quadratic, elliptic functionals
16. A common framework for curve evolution, segmentation and anisotropic diffusion
17. Variational approach for edge-preserving regularization using coupled PDE's
18. An unbiased detector of curvilinear structures