Main Page   Groups   Namespace List   Class Hierarchy   Alphabetical List   Compound List   File List   Namespace Members   Compound Members   File Members   Concepts

Image Feature Extraction Filters
[Image Filters]


Modules

Image Gradient Filters

Compounds

class  BilateralImageFilter
 Blurs an image while preserving edges. More...

class  DanielssonDistanceMapImageFilter
class  DerivativeImageFilter
 Computes the directional derivative of an image. The directional derivative at each pixel location is computed by convolution with a first-order derivative operator. More...

class  DiscreteGaussianImageFilter
 Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). More...

class  LaplacianImageFilter
class  SobelEdgeDetectionImageFilter
 Implements the Sobel Edge Detection.The Sobel operator performs a 2D/ND spatial gradient measurement on an image and so emphasizes regions of high spatial gradient that correspond to edges. Typically it is used to find the approximate absolute gradient magnitude at each point in an input greyscale image. More...

class  ZeroCrossingBasedEdgeDetectionImageFilter
class  ZeroCrossingImageFilter

Detailed Description

Image feature extraction filters process an image to extract features of interest such as gradients, edges, distances, etc. Examples of image feature extraction algorithms available in ITK are: image gradients, first and second derivatives, and Danielson distance.
Generated at Wed Mar 12 01:13:44 2003 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000