Image Feature Extraction Filters
[Image Filters]

Modules
group	Image Gradient Filters
Classes
class	itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage >
	This class compute the signed (positive and negative) chamfer distance in a narrow band. More...
class	itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >
	Base class for ImagePCAShapeModelEstimator object. More...
class	itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >
	Base class for statistical shape model estimation. More...
class	itk::BilateralImageFilter< TInputImage, TOutputImage >
	Blurs an image while preserving edges. More...
class	itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >
class	itk::DerivativeImageFilter< TInputImage, TOutputImage >
	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	itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >
	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	itk::HoughTransformCircles2DImageFilter
	Performs the Hough Transform to find circles in a 2D image. More...
class	itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >
	Performs the Hough Transform to find 2D straight lines in a 2D image. More...
class	itk::LaplacianImageFilter< TInputImage, TOutputImage >
class	itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >
	A 2D or 3D edge detection using the Sobel operator. More...
class	itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >
class	itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >

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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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