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. This calculation is only correct if the the vector field has values that are the absolute locations from which to get the new values are to be taken. This implies that the identity vector field (VF) mapping would have values at each location (x) equal to the location itself. VF(x)=x. THIS IS VERY UNUSUAL. The DeformationFieldJacobianDeterminantFilter computes the proper Jacobian Determinant for a vector field described this way as det[ dT/dx ] = det[ du/dx ]. More... | |
| class | itk::DifferenceOfGaussiansGradientImageFilter< TInputImage, TDataType > |
| Performs difference-of-gaussians gradient detection. More... | |
| class | itk::DisplacementFieldJacobianDeterminantFilter< 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. This calculation is correct in the case where the vector image is a "displacement" from the current location. The computation for the jacobian determinant is: det[ dT/dx ] = det[ I + du/dx ]. 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... | |
Detailed Description
These filters compute local gradients of images.
