Image Feature Extraction Filters
[Image Filters]

Modules
Image Gradient Filters
Classes
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 derivative operator of user-specified order. 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	FastChamferDistanceImageFilter
	This class compute the signed (positive and negative) chamfer distance in a narrow band. More...
class	HoughTransform2DCirclesImageFilter
	Performs the Hough Transform to find circles in a 2D image. More...
class	HoughTransform2DLinesImageFilter
	Performs the Hough Transform to find 2D straight lines in a 2D image. More...
class	ImagePCAShapeModelEstimator
	Base class for ImagePCAShapeModelEstimator object. More...
class	ImageShapeModelEstimatorBase
	Base class for statistical shape model estimation. More...
class	LaplacianImageFilter
class	LaplacianSharpeningImageFilter
class	SignedDanielssonDistanceMapImageFilter
class	SobelEdgeDetectionImageFilter
	A 2D or 3D edge detection using the Sobel operator. 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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