ConvolutionMap.H File Reference

#include "Image/Image.H"
#include <vector>
#include <stdlib.h>

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Classes
class	convolutionMap< T >
	Container class for convolution maps. More...
Functions
template<class T >
void	computeConvolutionMaps (convolutionMap< T > &cMap)
	Computes a set of convolution maps for doing multiple convolutions.
template<class T >
Image< T >	convolveWithMaps (convolutionMap< T > &cMap)
	carries out a simple mapped convolution, call computeConvolutionMaps first

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Detailed Description

Definition in file ConvolutionMap.H.

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Function Documentation

template<class T >

void computeConvolutionMaps

(

convolutionMap< T > &

cMap

)

[inline]

Computes a set of convolution maps for doing multiple convolutions.

When doing more than one convolution, for instance on an animated sequence, this builds a map set so that we precompute (A) border regions (B) very small kernel values These are removed and a vector of indexes is produced. These can then be used by iterating over the maps which contain the index.

Parameters:

cMap

This is a container for the maps and images used

Definition at line 47 of file ConvolutionMap.C.

References convolutionMap< T >::CMcheckInit1(), convolutionMap< T >::CMimageArrayHandle, convolutionMap< T >::CMimageMap, convolutionMap< T >::CMindexMap, convolutionMap< T >::CMinit2, convolutionMap< T >::CMinitVecSize, convolutionMap< T >::CMkernel, convolutionMap< T >::CMkernelMap, convolutionMap< T >::CMkWeightNorm, convolutionMap< T >::CMorigImage, convolutionMap< T >::CMsmallNumber, convolutionMap< T >::CMstaticImage, Image< T >::getVal(), Image< T >::getWidth(), Image< T >::resize(), and Image< T >::setVal().

template<class T >

Image<T> convolveWithMaps

(

convolutionMap< T > &

cMap

)

[inline]

carries out a simple mapped convolution, call computeConvolutionMaps first

This will take in the convolution maps created and the current image and compute convolution in a line. That is, for each pixel we can in a straight line iterate over all the image and kernel values using a map. This saves us from having to check for border regions and compute pixel locations. Additionally, we can pre-remove small values from convolution.

Parameters:

cMap

This is a contaner for maps and images Example use:

convolutionMap<FLOAT> cMap; Image<float> inputImg;

...

if(frame == 1) { readMatrix rm("lowPassKernel.mat"); rm.echoMatrix(); cMap.CMsmallNumber = 1.1F; cMap.CMinitVecSize = 1; cMap.CMkernel = rm.returnMatrixAsImage(); cMap.CMorigImage = inputImg; computeConvolutionMaps(cMap); } cMap.CMcopyImage(inputImg); Image<FLOAT> i2 = convolveWithMaps(cMap);

Definition at line 156 of file ConvolutionMap.C.

References Image< T >::begin(), Image< T >::beginw(), convolutionMap< T >::CMcheckInit2(), convolutionMap< T >::CMimageMap, convolutionMap< T >::CMindexMap, convolutionMap< T >::CMkernelMap, convolutionMap< T >::CMkWeightNorm, convolutionMap< T >::CMpreciseVectors, convolutionMap< T >::CMstaticImage, Image< T >::end(), and ZEROS.