Title :
Robust segmentation of voxel shapes using medial surfaces
Author :
Reniers, Dennie ; Telea, Alexandru
Author_Institution :
Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Eindhoven
Abstract :
We present a new patch-type segmentation method for 3D voxel shapes based on the medial surface, also called surface skeleton. The boundaries of the simplified fore- and background skeletons map one-to-one to increasingly fuzzy, soft convex, respectively concave, edges of the shape. Using this property, we build a method for segmentation of 3D shapes which has several desirable properties. Our method robustly segments both noisy shapes and shapes with soft edges which vanish over low-curvature regions. As the segmentation is based on the skeleton, it reflects the symmetry of the input shape. Finally, multiscale segmentations can be obtained by varying the simplification level of the skeleton. We present a voxel-based implementation of our approach and demonstrate it on several examples.
Keywords :
computational complexity; computer graphics; genetic algorithms; image segmentation; computational geometry; genetic algorithms; medial surfaces; patch-type segmentation method; robust segmentation; soft edges; surface skeleton; voxel shapes; Application software; Computer graphics; Computer science; Mathematics; Multi-stage noise shaping; Noise level; Noise shaping; Robustness; Shape measurement; Skeleton; I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Geometric algorithms, languages, and systems;
Conference_Titel :
Shape Modeling and Applications, 2008. SMI 2008. IEEE International Conference on
Conference_Location :
Stony Brook, NY
Print_ISBN :
978-1-4244-2260-9
Electronic_ISBN :
978-1-4244-2261-6
DOI :
10.1109/SMI.2008.4548003