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Finite-element methods for active contour models and balloons for 2-D and 3-D images
1.4K
Citations
33
References
1993
Year
Numerical AnalysisBalloon ModelEngineeringShape AnalysisComputer-aided DesignFinite-element MethodsComputational MechanicsImage AnalysisImage-based ModelingNumerical Simulation3-D ImagesComputational ImagingDeformation ModelingComputational GeometryActive Contour ModelsShape RepresentationGeometry ProcessingRadiologyGeometric ModelingMachine VisionGeometric Feature ModelingMedical Image ComputingDeformation ReconstructionComputer VisionNatural SciencesBiomedical ImagingMinimization ProblemSurface Modeling3D ReconstructionShape ModelingFinite-element Method3D ImagingMultiscale Modeling
The use of energy-minimizing curves, known as "snakes" to extract features of interest in images has been introduced by Kass, Witkin and Terzopoulos (1987). A balloon model was introduced by Cohen (1991) as a way to generalize and solve some of the problems encountered with the original method. A 3-D generalization of the balloon model as a 3-D deformable surface, which evolves in 3-D images, is presented. It is deformed under the action of internal and external forces attracting the surface toward detected edgels by means of an attraction potential. We also show properties of energy-minimizing surfaces concerning their relationship with 3-D edge points. To solve the minimization problem for a surface, two simplified approaches are shown first, defining a 3-D surface as a series of 2-D planar curves. Then, after comparing finite-element method and finite-difference method in the 2-D problem, we solve the 3-D model using the finite-element method yielding greater stability and faster convergence. This model is applied for segmenting magnetic resonance images.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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