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

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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.

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