Feature-preserving medial axis noise removal

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2351, Issue , 2003, Pages 672-686

  Tam, Roger ^a   Heidrich, Wolfgang ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

FEATURE PRESERVING; FEATURE RECONSTRUCTION; FINE FEATURE; NOISE CHARACTERISTIC; NOISE REMOVAL; NOVEL TECHNIQUES; PRUNING METHODS; SHAPE COMPLEXITY;

COMPUTER VISION;

EID: 84949032973     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47967-8_45     Document Type: Conference Paper

References (13)

1. Blum, H., Nagel, R.: Shape description using weighted symmetric axis features. Pattern Recognition 10 (1978) 167-180
2. Attali, D., Montanvert, A.: Semicontinuous skeletons of 2D and 3D shapes. In: Proceedings of the International Workshop on Visual Form, Capri, World Scientific (1994) 32-41
3. Brandt, J., Algazi, V.: Continuous skeleton computation by voronoi diagram. CVGIP: Image Understanding 55 (1992) 329-337
4. Ogniewicz, R., Ilg, M.: Voronoi skeletons: Theory and applications. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, Champaign, Illinois (1992) 63-69
5. Pizer, S., Oliver, W., Bloomberg, S.: Hierarchical shape description via the multiresolution symmetric axis transform. IEEE Trans. Pattern Analysis and Machine Intelligence 9 (1987) 505-511
6. Mokhtarian, F., Mackworth, A.: A theory of multiscale, curvature-based shape representation for planar curves. IEEE Trans. Pattern Analysis and Machine Intelligence 14 (1992) 789-805
7. Ogniewicz, R.: Automatic medial axis pruning by mapping characteristics of boundaries evolving under the euclidean geometric heat flow onto voronoi skeletons. Technical Report 95-4, Harvard Robotics Laboratory (1995)
8. Shaked, D., Bruckstein, A.: Pruning medial axes. Computer Vision and Image Understanding 69 (1998) 156-169
9. Attali, D., Sanniti di Baja, G., E., T.: Pruning discrete and semicontinuous skeletons. In De Floriani, C., Braccini, C., Vemazza, G., eds.: Lecture Notes in Computer Science, Image Analysis and Processing. Volume 974. Springer-Verlag (1995) 488-493
10. Attali, D., Montanvert, A.: Modeling noise for a better simplification of skeletons. In: Proc. of the International Conference on Image Processing. Volume III., Lausanne, Switzerland (1996)13-16
11. Ogniewicz, R.: Skeleton-space: A multiscale shape description combining region and boundary information. In: Proceedings of the Conference on Computer Vision and Pattern Recognition, Seattle, WA (1994) 746-751
12. Ranjan, V., Fournier, A.: Matching and interpolation of shapes using unions of circles. Computer Graphics Forum (Proceedings of Eurographics’96) 15 (1996) 35-42
13. Leyton, M.: Shape and causal-history. In Arcelli, C., Cordelia, L., Sanniti di Baja, G., eds.: Visual Form: Analysis and Recognition. Plenum Press (1992) 379-388