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Level Set-Based Segmentation Filters
[Model-Based Image Segmentation Filters]


Compounds

class  AuxVarTypeDefault
 Level set auxiliary variables type information. AuxVarTypeDefault is a simple class that holds type information for auxiliary variables in some level set algorithms. This class is templated over the auxiliary variable data type, the number of auxiliary variables and the level set dimension. More...

class  ExtensionVelocitiesImageFilter
 Extend velocities smoothly from a particular level set. More...

class  FastMarchingExtensionImageFilter
 Extend auxiliary variables smoothly using Fast Marching. More...

class  FastMarchingImageFilter
 Solve an Eikonal equation using Fast Marching. More...

class  FiniteDifferenceImageFilter
class  GeodesicActiveContourImageFilter
 Edge based shape detection using geodesic active contours. More...

class  LevelSetImageFilter
class  LevelSetNeighborhoodExtractor
 Locate pixels of a particular level set. More...

class  LevelSetNode
 Represent a node in a level set. More...

class  LevelSetTypeDefault
 Level set type information. More...

class  LevelSetVelocityNeighborhoodExtractor
 Locate pixels of a particular level set. More...

class  ReinitializeLevelSetImageFilter
 Reinitialize the level set to the signed distance function. More...

class  ShapeDetectionLevelSetFilter
 Edge based shape detection using a level set approach. More...


Detailed Description

These algorithms represent models implicitly using level-sets and update the models based on image features. Examples of these types of segmentation methods in ITK include: curvature flow-based filters, fast marching filters, and shape-detection filters.
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