statistic.h File Reference

Function prototypes for statistic module. More...

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Functions
void	__attribute__ ((constructor)) libinit_statistic()
	Initialize module. More...
double	ran1 ()
	Uniform distribution from 0 to 1. More...
double	gauss ()
	Normal distribution, mean=0, sigma=1. More...
double	gauss_trc ()
	truncated (-1/+1) sigma = 1 mean = 0 gaussian probability More...
long	poisson (double mu)
	Poisson distribution. More...
double	gammaln (double xx)
	Gamma function. More...
double	better_poisson (double mu)
double	fast_poisson (double mu)
long	put_poisson_noise (const char *ID_in_name, const char *ID_out_name)
	Apply Poisson noise to image. More...
long	put_gauss_noise (const char *ID_in_name, const char *ID_out_name, double ampl)
	Apply Gaussian noise to image. More...

Detailed Description

Function prototypes for statistic module.

Functions provide statistical tools

Function Documentation

__attribute__()

void __attribute__

(

(constructor)

)

Initialize module.

better_poisson()

double better_poisson

(

double

mu

)

fast_poisson()

double fast_poisson

(

double

mu

)

gammaln()

double gammaln

(

double

xx

)

Gamma function.

gauss()

double gauss

(

)

Normal distribution, mean=0, sigma=1.

gauss_trc()

double gauss_trc

(

)

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

poisson()

long poisson

(

double

mu

)

Poisson distribution.

Parameters

mu	Distribution mean

put_gauss_noise()

long put_gauss_noise	(	const char *	ID_in_name,
		const char *	ID_out_name,
		double	ampl
	)

Apply Gaussian noise to image.

put_poisson_noise()

long put_poisson_noise	(	const char *	ID_in_name,
		const char *	ID_out_name
	)

Apply Poisson noise to image.

ran1()

double ran1

(

)

Uniform distribution from 0 to 1.