Convolutions.C File Reference

#include "Image/Convolutions.H"
#include "Image/Image.H"
#include "Image/Pixels.H"
#include "rutz/trace.h"
#include "inst/Image/Convolutions.I"

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Functions
template<class T >
static Image< typename promote_trait< T, float >::TP >	convolveZeroHelper (const Image< T > &src, const float *filter, const int Nx, const int Ny)
template<class T >
static Image< typename promote_trait< T, float >::TP >	convolveCleanHelper (const Image< T > &src, const float *filter, const int Nx, const int Ny)
template<class T >
static Image< typename promote_trait< T, float >::TP >	convolve (const Image< T > &src, const float *filter, const int Nx, const int Ny, ConvolutionBoundaryStrategy boundary)
template<class T >
Image< typename promote_trait < T, float >::TP >	optConvolve (const Image< T > &src, const Image< float > &f)
	This is a somewhat-optimized 2-D convolution.
template<class T >
Image< typename promote_trait < T, float >::TP >	convolveHmax (const Image< T > &src, const Image< float > &filter)
	Brute force, super inefficient 2D convolution (truncated filter boundary).
template<class T >
static Image< typename promote_trait< T, float >::TP >	xFilter (const Image< T > &src, const float *hFilt, const int hfs, ConvolutionBoundaryStrategy boundary)
template<class T >
static Image< typename promote_trait< T, float >::TP >	yFilter (const Image< T > &src, const float *vFilt, const int vfs, ConvolutionBoundaryStrategy boundary)
template<class T >
Image< typename promote_trait < T, float >::TP >	sepFilter (const Image< T > &src, const Image< float > &hFilter, const Image< float > &vFilter, ConvolutionBoundaryStrategy boundary)
template<class T >
Image< typename promote_trait < T, float >::TP >	sepFilter (const Image< T > &src, const float *hFilt, const float *vFilt, const int hfs, const int vfs, ConvolutionBoundaryStrategy boundary)

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Detailed Description

basic 1-D and 2-D filtering operations

Definition in file Convolutions.C.

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Function Documentation

template<class T >

Image<typename promote_trait<T, float>::TP> convolveHmax	(	const Image< T > &	src,
		const Image< float > &	filter
	)			[inline]

Brute force, super inefficient 2D convolution (truncated filter boundary).

With normalization by the local image energy, a la HMAX

Definition at line 305 of file Convolutions.C.

References ASSERT, Image< T >::begin(), Image< T >::beginw(), Image< T >::getHeight(), Image< T >::getWidth(), Image< T >::initialized(), NO_INIT, sqrt(), and sum().

template<class T >

Image<typename promote_trait<T, float>::TP> optConvolve	(	const Image< T > &	src,
		const Image< float > &	filter
	)			[inline]

This is a somewhat-optimized 2-D convolution.

It is optimized in the sense that there are special-case inner loops for (1) cases where the filter doesn't completely overlap with the local image patch because we're at the image boundary (in this case we need a specialized inner loop to handle these boundary conditions), and (2) cases where the filter and local image patch overlap completely (in which case we can use a more efficient inner loop).

Definition at line 191 of file Convolutions.C.

References ASSERT, Image< T >::begin(), Image< T >::beginw(), Image< T >::getHeight(), Image< T >::getWidth(), Image< T >::initialized(), and NO_INIT.

Referenced by buildPyrGabor().