Model-based segmentation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Book Sections Year : 2011

Model-based segmentation


This chapter starts with a brief introduction into model-based segmentation, explaining the basic concepts and different approaches. Subsequently, two segmentation approaches are presented in more detail: First, the method of deformable simplex meshes is described, explaining the special properties of the simplex mesh and the formulation of the internal forces. Common choices for image forces are presented, and how to evolve the mesh to adapt to certain structures. Second, the method of point-based statistical shape models (SSMs) is described. The model construction process is explained and the point correspondence problem is treated in detail. Several approaches of how gray level appearance can be modeled are presented, and search algorithms that use this knowledge to segment the modeled structures in new images are described.
Fichier principal
Vignette du fichier
Delingette-RABIPA-2010_1_.pdf (704.99 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00616063 , version 1 (16-07-2013)



Tobias Heimann, Hervé Delingette. Model-based segmentation. Deserno, Thomas Martin. Biomedical Image Processing, Springer, pp.279-303, 2011, 978-3-642-15815-5. ⟨10.1007/978-3-642-15816-2_11⟩. ⟨inria-00616063⟩
240 View
3774 Download



Gmail Facebook X LinkedIn More