TuttleOFX  1
ImageStatisticsProcess.tcc File Reference
#include "ImageStatisticsPlugin.hpp"
#include <tuttle/plugin/global.hpp>
#include <terry/globals.hpp>
#include <tuttle/plugin/param/gilColor.hpp>
#include <terry/typedefs.hpp>
#include <terry/numeric/operations.hpp>
#include <terry/numeric/operations_assign.hpp>
#include <terry/numeric/assign.hpp>
#include <terry/numeric/assign_minmax.hpp>
#include <terry/numeric/minmax.hpp>
#include <terry/numeric/init.hpp>
#include <terry/numeric/pow.hpp>
#include <terry/numeric/sqrt.hpp>
#include <boost/gil/extension/color/hsl.hpp>
#include <boost/units/pow.hpp>
#include <boost/mpl/vector.hpp>
#include <boost/mpl/erase.hpp>
#include <boost/mpl/find.hpp>
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Data Structures

struct  tuttle::plugin::imageStatistics::OutputParams< Pixel >
struct  tuttle::plugin::imageStatistics::ComputeOutputParams< View, CType >

Namespaces

namespace  tuttle
 

This file provides a set of reimplementations of CImg functions by means of the generic image library (gil). Functions for image blurring.


namespace  tuttle::plugin
namespace  tuttle::plugin::imageStatistics

Functions

template<typename T >
tuttle::plugin::imageStatistics::standard_deviation (const T v_sum, const T v_sum_p2, const std::size_t nb)
template<typename Pixel >
Pixel tuttle::plugin::imageStatistics::pixel_standard_deviation (const Pixel &v_sum, const Pixel &v_sum_p2, const std::size_t nb)
template<typename T >
tuttle::plugin::imageStatistics::kurtosis (const T v_mean, const T v_standard_deviation, const T v_sum, const T v_sum_p2, const T v_sum_p3, const T v_sum_p4, const std::size_t nb)
 In probability theory and statistics, kurtosis is a measure of the "peakedness" of the probability distribution of a real-valued random variable.
template<typename Pixel >
Pixel tuttle::plugin::imageStatistics::pixel_kurtosis (const Pixel &v_mean, const Pixel &v_standard_deviation, const Pixel &v_sum, const Pixel &v_sum_p2, const Pixel &v_sum_p3, const Pixel &v_sum_p4, const std::size_t nb)
template<typename T >
tuttle::plugin::imageStatistics::skewness (const T v_mean, const T v_standard_deviation, const T v_sum, const T v_sum_p2, const T v_sum_p3, const std::size_t nb)
 In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable.
template<typename Pixel >
Pixel tuttle::plugin::imageStatistics::pixel_skewness (const Pixel &v_mean, const Pixel &v_standard_deviation, const Pixel &v_sum, const Pixel &v_sum_p2, const Pixel &v_sum_p3, const std::size_t nb)
template<typename OutputParamsRGBA , typename OutputParamsHSL >
void tuttle::plugin::imageStatistics::setOutputParams (const OutputParamsRGBA &outputParamsRGBA, const OutputParamsHSL &outputParamsHSL, const OfxTime time, ImageStatisticsPlugin &plugin)