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/* convolve twice, rotating the mask
*
* 23/10/13
* - from vips_convsep()
*/
/*
This file is part of VIPS.
VIPS is free software; you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
02110-1301 USA
*/
/*
These files are distributed with VIPS - http://www.vips.ecs.soton.ac.uk
*/
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif /*HAVE_CONFIG_H*/
#include <vips/intl.h>
#include <stdio.h>
#include <vips/vips.h>
#include "pconvolution.h"
typedef struct {
VipsConvolution parent_instance;
VipsPrecision precision;
int layers;
int cluster;
} VipsConvsep;
typedef VipsConvolutionClass VipsConvsepClass;
G_DEFINE_TYPE( VipsConvsep, vips_convsep, VIPS_TYPE_CONVOLUTION );
static int
vips_convsep_build( VipsObject *object )
{
VipsObjectClass *class = VIPS_OBJECT_GET_CLASS( object );
VipsConvolution *convolution = (VipsConvolution *) object;
VipsConvsep *convsep = (VipsConvsep *) object;
VipsImage **t = (VipsImage **)
vips_object_local_array( object, 3 );
VipsImage *in;
g_object_set( convsep, "out", vips_image_new(), NULL );
if( VIPS_OBJECT_CLASS( vips_convsep_parent_class )->build( object ) )
return( -1 );
if( vips_check_separable( class->nickname, convolution->M ) )
return( -1 );
in = convolution->in;
if( convsep->precision == VIPS_PRECISION_APPROXIMATE ) {
if( vips_convasep( convolution->in, &t[0], convolution->M,
"layers", convsep->layers,
NULL ) )
return( -1 );
in = t[0];
}
else {
if( vips_rot( convolution->M, &t[0], VIPS_ANGLE_D90, NULL ) )
return( -1 );
/* We must only add the offset once.
*/
vips_image_set_double( t[0], "offset", 0 );
if( vips_conv( convolution->in, &t[1], convolution->M,
"precision", convsep->precision,
"layers", convsep->layers,
"cluster", convsep->cluster,
NULL ) ||
vips_conv( t[1], &t[2], t[0],
"precision", convsep->precision,
"layers", convsep->layers,
"cluster", convsep->cluster,
NULL ) )
return( -1 );
in = t[2];
}
if( vips_image_write( in, convolution->out ) )
return( -1 );
return( 0 );
}
static void
vips_convsep_class_init( VipsConvsepClass *class )
{
GObjectClass *gobject_class = G_OBJECT_CLASS( class );
VipsObjectClass *object_class = (VipsObjectClass *) class;
gobject_class->set_property = vips_object_set_property;
gobject_class->get_property = vips_object_get_property;
object_class->nickname = "convsep";
object_class->description = _( "seperable convolution operation" );
object_class->build = vips_convsep_build;
VIPS_ARG_ENUM( class, "precision", 203,
_( "Precision" ),
_( "Convolve with this precision" ),
VIPS_ARGUMENT_OPTIONAL_INPUT,
G_STRUCT_OFFSET( VipsConvsep, precision ),
VIPS_TYPE_PRECISION, VIPS_PRECISION_INTEGER );
VIPS_ARG_INT( class, "layers", 204,
_( "Layers" ),
_( "Use this many layers in approximation" ),
VIPS_ARGUMENT_OPTIONAL_INPUT,
G_STRUCT_OFFSET( VipsConvsep, layers ),
1, 1000, 5 );
VIPS_ARG_INT( class, "cluster", 205,
_( "Cluster" ),
_( "Cluster lines closer than this in approximation" ),
VIPS_ARGUMENT_OPTIONAL_INPUT,
G_STRUCT_OFFSET( VipsConvsep, cluster ),
1, 100, 1 );
}
static void
vips_convsep_init( VipsConvsep *convsep )
{
convsep->precision = VIPS_PRECISION_INTEGER;
convsep->layers = 5;
convsep->cluster = 1;
}
/**
* vips_convsep:
* @in: input image
* @out: output image
* @mask: convolution mask
* @...: %NULL-terminated list of optional named arguments
*
* Optional arguments:
*
* * @precision: calculation accuracy
* * @layers: number of layers for approximation
* * @cluster: cluster lines closer than this distance
*
* Perform a separable convolution of @in with @mask.
* See vips_conv() for a detailed description.
*
* The mask must be 1xn or nx1 elements.
*
* The image is convolved twice: once with @mask and then again with @mask
* rotated by 90 degrees. This is much faster for certain types of mask
* (gaussian blur, for example) than doing a full 2D convolution.
*
* See also: vips_conv(), vips_gaussmat().
*
* Returns: 0 on success, -1 on error
*/
int
vips_convsep( VipsImage *in, VipsImage **out, VipsImage *mask, ... )
{
va_list ap;
int result;
va_start( ap, mask );
result = vips_call_split( "convsep", ap, in, out, mask );
va_end( ap );
return( result );
}
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