ConvolutionMap.C File Reference

---

Detailed Description

Definition in file ConvolutionMap.C.

#include "Image/ConvolutionMap.H"
#include "rutz/trace.h"
#include <algorithm>
#include <cmath>
#include "inst/Image/ConvolutionMap.I"

Include dependency graph for ConvolutionMap.C:

Go to the source code of this file.

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

---

Function Documentation

template<class T> void computeConvolutionMaps (  convolutionMap< T > &  cMap  )

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(), GVX_TRACE, i, Image< T >::resize(), Image< T >::setVal(), x, and y.

template<class T> Image<T> convolveWithMaps (  convolutionMap< T > &  cMap  )

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(), Image< T >::endw(), GVX_TRACE, z, and ZEROS.

---