Collaboration diagram for Image Gradient Filters:
Classes | |
class | itk::DeformationFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage > |
Computes a scalar image from a vector image (e.g., deformation field) input, where each output scalar at each pixel is the Jacobian determinant of the vector field at that location. More... | |
class | itk::DifferenceOfGaussiansGradientImageFilter< TInputImage, TDataType > |
Performs difference-of-gaussians gradient detection. More... | |
class | itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType > |
Computes the gradient of an image using directional derivatives. More... | |
class | itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage > |
Computes the gradient magnitude of an image region at each pixel. More... | |
class | itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Computes the Magnitude of the Gradient of an image by convolution with the first derivative of a Gaussian. More... | |
class | itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Computes the gradient of an image by convolution with the first derivative of a Gaussian. More... | |
class | itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Computes the Hessian matrix of an image by convolution with the Second and Cross derivatives of a Gaussian. More... | |
class | itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Computes the Laplacian of an image by convolution with the second derivative of a Gaussian. More... | |
class | itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage > |
Computes a scalar, gradient magnitude image from a multiple channel (pixels are vectors) input. More... |