statistical tools module More...

#include <stdint.h>
#include <math.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <time.h>
#include <gsl/gsl_randist.h>
#include "CommandLineInterface/CLIcore.h"
#include "COREMOD_memory/COREMOD_memory.h"
#include "statistic/statistic.h"

Include dependency graph for statistic.c:

Data Structures
struct	BIRCHCF

Macros
#define	MODULE_SHORTNAME_DEFAULT "stat"

#define	MODULE_DESCRIPTION "Statistics functions and tools"

Functions
CLI bindings
errno_t	statistic_putphnoise_cli ()

errno_t	statistic_putgaussnoise_cli ()

Module initialization
static errno_t	init_module_CLI ()

STATISTIC functions
double	ran1 ()
	Uniform distribution from 0 to 1.

double	gauss ()
	Normal distribution, mean=0, sigma=1.

double	gauss_trc ()
	truncated (-1/+1) sigma = 1 mean = 0 gaussian probability

long	poisson (double mu)
	Poisson distribution. More...

double	cfits_gammaln (double xx)

double	fast_poisson (double mu)

double	better_poisson (double mu)

long	put_poisson_noise (const char ID_in_name, const char ID_out_name)
	Apply Poisson noise to image.

long	put_gauss_noise (const char ID_in_name, const char ID_out_name, double ampl)
	Apply Gaussian noise to image.

long	statistic_BIRCH_clustering (__attribute__((unused)) const char IDin_name, __attribute__((unused)) int B, __attribute__((unused)) double epsilon, __attribute__((unused)) const char IDout_name)

Detailed Description

statistical tools module

Random numbers, photon noise

Function Documentation

◆ poisson()

long poisson ( double mu )

Poisson distribution.

Parameters

mu	Distribution mean

◆ statistic_BIRCH_clustering()

long statistic_BIRCH_clustering	(	__attribute__((unused)) const char *	IDin_name,
		__attribute__((unused)) int	B,
		__attribute__((unused)) double	epsilon,
		__attribute__((unused)) const char *	IDout_name
	)

Purpose

Apply BIRCH clustering to images

Overview

Images input is 3D array, one image per slice
Euclidian distance adopted
B is the number of branches

epsilon is the maximum distance (Euclidian)

Data Structures

Macros