vsrl_image_correlation Class Reference

#include <vsrl_image_correlation.h>

Detailed Description

this class will determine the correlation between two images for a pair of regions

Definition at line 19 of file vsrl_image_correlation.h.


Public Member Functions
	vsrl_image_correlation (const vil1_image &im1, const vil1_image &im2)
	~vsrl_image_correlation ()
void	set_window_width (int width)
	set the correlation window width.
void	set_window_height (int height)
	set the correlation window height.
void	set_correlation_range (int range)
	the number of correlations used.
int	get_correlation_range ()
	the number of correlations used.
void	initial_calculations ()
	perform a set of initial calculations.
double	get_correlation (int x1, int y1, int delta_x)
	get the correlation using the initial calculations.
void	get_correlation_stats (int x, int y, double &mean, double &std)
	we want to know how the correlation function behaves around the point x1 y1.
double	get_sub_pixel_delta (int x1, int y1, int delta_x)
	interpolate to get subpixel accuracy for delta_x.
double	get_correlation (int x1, int y1, int x2, int y2)
	get the correlation directly.
int	get_image1_width ()
int	get_image1_height ()
int	get_image2_width ()
int	get_image2_height ()
double	get_image_value1 (int x, int y)
double	get_image_value2 (int x, int y)
double	get_mean_1 (int x, int y)
double	get_mean_2 (int x, int y)
double	get_std_1 (int x, int y)
double	get_std_2 (int x, int y)
Private Member Functions
void	compute_local_stats (vnl_matrix< double > &im, vnl_matrix< double > &mean, vnl_matrix< double > &std)
	get a matrix of means and stds for a given image.
void	compute_correlation (int x_offset, vnl_matrix< double > &X, vnl_matrix< double > &Y, vnl_matrix< double > &mean_x, vnl_matrix< double > &mean_y, vnl_matrix< double > &std_x, vnl_matrix< double > &std_y, vnl_matrix< double > &corr_matrix)
	compute the correlation for a given x offset.
void	shift_multiply_matrix (int offset, vnl_matrix< double > &X, vnl_matrix< double > &Y, vnl_matrix< double > &XY)
void	compute_local_stats (vil1_byte_buffer &buf, int x, int y, double &mean, double &std)
	compute the local stats using the slow method.
bool	check_range (vil1_byte_buffer &buf, int x, int y)
	make sure that x and y are in the bounds of buf.
Private Attributes
int	window_width_
int	window_height_
int	correlation_range_
vnl_matrix< double > **	image_correlations_
	the results of initial correlations.
vnl_matrix< double > *	std_x_
vnl_matrix< double > *	std_y_
vnl_matrix< double > *	mean_x_
vnl_matrix< double > *	mean_y_
vil1_byte_buffer	buffer1_
	memory images of the data.
vil1_byte_buffer	buffer2_

Constructor & Destructor Documentation

vsrl_image_correlation::vsrl_image_correlation	(	const vil1_image &	im1,
		const vil1_image &	im2
	)

Definition at line 13 of file vsrl_image_correlation.cxx.

vsrl_image_correlation::~vsrl_image_correlation ( )

Definition at line 31 of file vsrl_image_correlation.cxx.

Member Function Documentation

void vsrl_image_correlation::set_window_width ( int width )

set the correlation window width.

Definition at line 49 of file vsrl_image_correlation.cxx.

void vsrl_image_correlation::set_window_height ( int height )

set the correlation window height.

Definition at line 54 of file vsrl_image_correlation.cxx.

void vsrl_image_correlation::set_correlation_range ( int range )

the number of correlations used.

Definition at line 59 of file vsrl_image_correlation.cxx.

int vsrl_image_correlation::get_correlation_range ( )

the number of correlations used.

Definition at line 65 of file vsrl_image_correlation.cxx.

void vsrl_image_correlation::initial_calculations ( )

perform a set of initial calculations.

Definition at line 216 of file vsrl_image_correlation.cxx.

double vsrl_image_correlation::get_correlation	(	int	x1,
		int	y1,
		int	delta_x
	)

get the correlation using the initial calculations.

Definition at line 303 of file vsrl_image_correlation.cxx.

void vsrl_image_correlation::get_correlation_stats	(	int	x,
		int	y,
		double &	mean,
		double &	std
	)

we want to know how the correlation function behaves around the point x1 y1.

Definition at line 561 of file vsrl_image_correlation.cxx.

double vsrl_image_correlation::get_sub_pixel_delta	(	int	x1,
		int	y1,
		int	delta_x
	)

interpolate to get subpixel accuracy for delta_x.

Definition at line 490 of file vsrl_image_correlation.cxx.

double vsrl_image_correlation::get_correlation	(	int	x1,
		int	y1,
		int	x2,
		int	y2
	)

get the correlation directly.

Definition at line 402 of file vsrl_image_correlation.cxx.

int vsrl_image_correlation::get_image1_width ( )

Definition at line 317 of file vsrl_image_correlation.cxx.

int vsrl_image_correlation::get_image1_height ( )

Definition at line 327 of file vsrl_image_correlation.cxx.

int vsrl_image_correlation::get_image2_width ( )

Definition at line 322 of file vsrl_image_correlation.cxx.

int vsrl_image_correlation::get_image2_height ( )

Definition at line 332 of file vsrl_image_correlation.cxx.

double vsrl_image_correlation::get_image_value1	(	int	x,
		int	y
	)

Definition at line 292 of file vsrl_image_correlation.cxx.

double vsrl_image_correlation::get_image_value2	(	int	x,
		int	y
	)

Definition at line 298 of file vsrl_image_correlation.cxx.

double vsrl_image_correlation::get_mean_1	(	int	x,
		int	y
	)

Definition at line 272 of file vsrl_image_correlation.cxx.

double vsrl_image_correlation::get_mean_2	(	int	x,
		int	y
	)

Definition at line 277 of file vsrl_image_correlation.cxx.

double vsrl_image_correlation::get_std_1	(	int	x,
		int	y
	)

Definition at line 282 of file vsrl_image_correlation.cxx.

double vsrl_image_correlation::get_std_2	(	int	x,
		int	y
	)

Definition at line 287 of file vsrl_image_correlation.cxx.

void vsrl_image_correlation::compute_local_stats	(	vnl_matrix< double > &	im,
		vnl_matrix< double > &	mean,
		vnl_matrix< double > &	std
	)			`[private]`

get a matrix of means and stds for a given image.

Definition at line 83 of file vsrl_image_correlation.cxx.

void vsrl_image_correlation::compute_correlation	(	int	x_offset,
		vnl_matrix< double > &	X,
		vnl_matrix< double > &	Y,
		vnl_matrix< double > &	mean_x,
		vnl_matrix< double > &	mean_y,
		vnl_matrix< double > &	std_x,
		vnl_matrix< double > &	std_y,
		vnl_matrix< double > &	corr_matrix
	)			`[private]`