Hierarchical pre-segmentation without prior knowledge

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2, Issue , 2001, Pages 487-493

  Kuijper, A ^a   Florack, L ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; IMAGE ANALYSIS; IMAGE UNDERSTANDING; IMAGING TECHNIQUES;

CATASTROPHE POINTS; GAUSSIAN FILTER; HIERARCHICAL PRE-SEGMENTATION; SPATIAL SADDLE POINTS;

IMAGE SEGMENTATION;

EID: 0034856988     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. Local Morse theory for solutions to the heat equation and Gaussian blurring
2. The topological structure of scale-space images
3. Superficial and deep structure in linear diffusion scale space: Isophotes, critical points and separatrices
4. On the classification of toppoints in scale space
5. Local analysis of image scale space
6. The structure of images
7. A hitherto unnoticed singularity of scale-space
8. Calculations on critical points under gaussian blurring
9. A multiresolution hierarchical approach to image segmentation based on intensity extrema
10. Scale-space behaviour of local extrema and blobs
11. On the behavior of spatial critical points under Gaussian blurring
12. Generic events for the gradient squared with application to multi-scale segmentation
13. Generic evolutions of edges on families of diffused greyvalue surfaces
14. Application of the extremum stack to neurological MRI
15. Probabilistic multiscale image segmentation
16. Scale-space tree and its hierarchy
17. Linear scale-space has first been proposen in Japan
18. Scale-space filtering
19. A theory of feature extraction by the tree of stable view-points