#include "convolve.hpp"
#include <terry/globals.hpp>
#include <boost/math/constants/constants.hpp>
#include <boost/math/special_functions/pow.hpp>
#include <boost/lambda/core.hpp>
#include <boost/lambda/lambda.hpp>
#include <boost/lambda/algorithm.hpp>
#include <cmath>
#include <vector>
#include <algorithm>

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Namespaces
namespace	terry
namespace	terry::filter
Functions
template<typename Scalar >
Scalar	terry::filter::gaussianValueAt (const Scalar x, const Scalar amplitude, const Scalar yscale=1, const Scalar xcenter=0)
	gaussian function $G(x) = \frac{1}{\sqrt{2\pi \sigma^2}} e^{-\frac{x^2}{2 \sigma^2}}$ or simplified... $G(x) = a e^{- { \frac{(x-b)^2 }{ 2 c^2} } }$
template<typename Scalar >
terry::filter::kernel_1d< Scalar >	terry::filter::buildGaussian1DKernel (const Scalar size, const bool normalize=true, const double epsilon=kConvolutionEpsilon)
	create the gaussian kernel * found the kernel size * fill kernel values
template<typename Scalar >
Scalar	terry::filter::gaussianDerivativeValueAt (const Scalar x, const Scalar amplitude, const Scalar yscale=1, const Scalar xcenter=0)
	gaussian derivative function $G(x) = - x/a e^{- { \frac{(x-b)^2 }{ 2 c^2} } }$
template<typename Scalar >
terry::filter::kernel_1d< Scalar >	terry::filter::buildGaussianDerivative1DKernel (const Scalar size, const bool normalize=true, const double epsilon=kConvolutionEpsilon)
	create the gaussian derivative kernel * found the kernel size * fill kernel values
Variables
static const double	terry::filter::kConvolutionEpsilon = 0.1
	arbitrary value...

Namespaces

Functions

Variables