Title :
Fast and robust level-set segmentation of deformable structures
Author :
Yahia, Hussein M. ; Berroir, Jean-Paul ; Mazars, Gilles
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
Abstract :
Level-sets provide powerful methods for the segmentation of deformable structures. They are able to handle protrusions and specific topological effects. A particle system formulation of level-sets is introduced. It keeps all the advantages of the level-set approach for the segmentation of deformable structures, while it overcomes some of its drawbacks. In this approach the level-sets are controlled by particles, which is of particular interest for interactive control. The particle system records the internal energy of the level-set, while the external force field comes from image data. The energy minimization process is fast, stable and robust. The use of skeleton techniques provide a reliable initialization of the particles, and it is coherent with simple affine motion. The paper is illustrated by examples coming from real image sequences
Keywords :
atmospheric techniques; clouds; edge detection; feature extraction; geophysical signal processing; image sequences; minimisation; set theory; affine motion; clouds; deformable structures; energy minimization process; external force field; fast level-set segmentation; image data; initialization; interactive control; internal energy; meteorology; particle system formulation; protrusions; real image sequences; robust level-set segmentation; skeleton techniques; topological effects; Active contours; Control systems; Displays; Image segmentation; Image sequences; Partial differential equations; Robustness; Shape control; Skeleton; Spline;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.678096