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arbitrary_filter_volume.c
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arbitrary_filter_volume.c
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#include <volume_io/internal_volume_io.h>
#include <bicpl.h>
private void arbitrary_filter_volume(
Volume volume,
int n0,
int n1,
int n2,
float ***weights );
private void usage(
STRING executable )
{
STRING usage_str = "\n\
Usage: %s input.mnc filteroutput.mnc x_width [y_width [z_width [width4 [width5]]]]\n\
\n\
Box filters a volume with the given WORLD coordinate widths,\n\n";
print_error( usage_str, executable );
}
int main(
int argc,
char *argv[] )
{
int dim, n_dims;
Volume volume;
Real file_order_filter_widths[MAX_DIMENSIONS];
Real filter_widths[MAX_DIMENSIONS];
Real separations[MAX_DIMENSIONS];
STRING input_filename, output_filename, history;
initialize_argument_processing( argc, argv );
if( !get_string_argument( NULL, &input_filename ) ||
!get_string_argument( NULL, &output_filename ) )
{
usage( argv[0] );
return( 1 );
}
if( input_volume( input_filename, -1, File_order_dimension_names,
NC_BYTE, FALSE, 0.0, 255.0,
TRUE, &volume, NULL ) != OK )
return( 1 );
n_dims = get_volume_n_dimensions( volume );
for_less( dim, 0, n_dims )
{
if( !get_real_argument( 0.0, &filter_widths[dim] ) )
{
usage( argv[0] );
return( 1 );
}
}
reorder_xyz_to_voxel( volume, filter_widths, file_order_filter_widths );
get_volume_separations( volume, separations );
for_less( dim, 0, n_dims )
file_order_filter_widths[dim] /= FABS( separations[dim] );
box_filter_volume( volume, file_order_filter_widths );
history = "box_filter_volume_nd ...\n";
(void) output_volume( output_filename, NC_UNSPECIFIED, FALSE,
0.0, 0.0, volume, history, NULL );
return( 0 );
}
private void box_filter_1d_simple(
int size,
Real values[],
Real output[],
Real width )
{
int start, end, v;
Real half_width, current;
half_width = width / 2.0;
start = FLOOR( -half_width + 0.5 );
end = FLOOR( half_width + 0.5 );
current = 0.0;
for_less( v, 0, MIN(end,size) )
current += values[v];
for_less( v, 0, size )
{
output[v] = current / width;
if( end < size )
current += values[end];
++end;
if( start >= 0 )
current -= values[start];
++start;
}
}
private void box_filter_1d(
int size,
Real values[],
Real output[],
Real width )
{
int start, end, v;
Real left_weight, right_weight, half_width, current;
half_width = width / 2.0;
left_weight = FRACTION( half_width + 0.5 );
right_weight = 1.0 - left_weight;
left_weight /= width;
right_weight /= width;
current = 0.0;
start = FLOOR( -half_width + 0.5 );
end = FLOOR( half_width + 0.5 );
for_less( v, 0, MIN(end,size) )
current += values[v] / width;
if( end <= size-1 )
current += left_weight * values[end];
for_less( v, 0, size )
{
output[v] = current;
if( end < size )
current += right_weight * values[end];
++end;
if( end < size )
current += left_weight * values[end];
if( start >= 0 )
current -= left_weight * values[start];
++start;
if( start >= 0 )
current -= right_weight * values[start];
}
}
private void box_filter_volume(
Volume volume,
Real filter_widths[] )
{
int v, dim, n_dims, blurring_dim, n;
int v0, v1, v2, v3, v4;
int sizes[MAX_DIMENSIONS], max_size;
int start[MAX_DIMENSIONS];
int end[MAX_DIMENSIONS];
int count[MAX_DIMENSIONS];
int count0, count1, count2, count3, count4;
int start0, start1, start2, start3, start4;
int end0, end1, end2, end3, end4;
Real *values, *output, volume_min, volume_max, value;
BOOLEAN simple_case;
n_dims = get_volume_n_dimensions( volume );
get_volume_sizes( volume, sizes );
get_volume_voxel_range( volume, &volume_min, &volume_max );
max_size = 0;
for_less( dim, 0, n_dims )
max_size = MAX( max_size, sizes[dim] );
ALLOC( values, max_size );
ALLOC( output, max_size );
for_less( dim, n_dims, MAX_DIMENSIONS )
{
start[dim] = 0;
end[dim] = 0;
count[dim] = 1;
}
for_less( blurring_dim, 0, n_dims )
{
if( filter_widths[blurring_dim] <= 1.0 )
continue;
for_less( dim, 0, n_dims )
{
start[dim] = 0;
end[dim] = sizes[dim]-1;
count[dim] = 1;
}
end[blurring_dim] = 0;
count[blurring_dim] = sizes[blurring_dim];
n = sizes[blurring_dim];
count0 = count[0];
count1 = count[1];
count2 = count[2];
count3 = count[3];
count4 = count[4];
start0 = start[0];
start1 = start[1];
start2 = start[2];
start3 = start[3];
start4 = start[4];
end0 = end[0];
end1 = end[1];
end2 = end[2];
end3 = end[3];
end4 = end[4];
simple_case = numerically_close(
FRACTION( filter_widths[blurring_dim] / 2.0 ), 0.5,
1.0e-6 );
for_inclusive( v0, start0, end0 )
for_inclusive( v1, start1, end1 )
for_inclusive( v2, start2, end2 )
for_inclusive( v3, start3, end3 )
for_inclusive( v4, start4, end4 )
{
get_volume_voxel_hyperslab( volume, v0, v1, v2, v3, v4,
count0, count1, count2, count3, count4,
values );
if( simple_case )
box_filter_1d_simple( n, values, output,
filter_widths[blurring_dim] );
else
box_filter_1d( n, values, output, filter_widths[blurring_dim] );
for_less( v, 0, n )
{
if( output[v] < volume_min )
output[v] = volume_min;
else if( output[v] > volume_max )
output[v] = volume_max;
}
set_volume_voxel_hyperslab( volume, v0, v1, v2, v3, v4,
count0, count1, count2,
count3, count4, output );
}
print( "Blurred Dimensions %d out of %d\n", blurring_dim+1, n_dims );
}
FREE( values );
FREE( output );
}