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details Functions to Convolve Images and Signals VIGRA

1D and 2D filters, including separable and recursive convolution, and non-linear diffusion

#include "vigra/convolution.hxx"
Namespace: vigra

- Common Filters
Short-hands for the most common 2D convolution filters
- Convolution filters for multi-dimensional arrays.
Convolution filters for arbitrary dimensional arrays (MultiArray etc.)
- Resampling Convolution Filters
Resampling convolution filters
- Two-dimensional convolution functions
2D non-separable convolution, with and without ROI mask
- vigra::Kernel2D
Generic 2-dimensional discrete convolution kernel
- One-dimensional and separable convolution functions
1D convolution and separable filters in 2 dimensions
- vigra::Kernel1D
Generic 1-dimensional discrete convolution kernel
- Recursive convolution functions
Recursive filters (1st and 2nd order)
- Non-linear Diffusion
Edge-preserving smoothing
- BorderTreatmentMode
Choose between different border treatment modes
- Kernel Argument Object Factories
Factory functions to create argument objects to simplify passing kernels

© Ullrich Köthe (koethe@informatik.uni-hamburg.de)
Cognitive Systems Group, University of Hamburg, Germany

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VIGRA 1.3.3 (18 Aug 2005)