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/* convolve twice, rotating the mask
*
* 23/10/13
* - from vips_convsep()
* 8/5/17
* - default to float ... int will often lose precision and should not be
* the default
*/
/*
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 <glib/gi18n-lib.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, 4);
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(in, &t[0], convolution->M,
"layers", convsep->layers,
NULL))
return -1;
in = t[0];
}
else {
/* Take a copy, since we must set the offset.
*/
if (vips_rot(convolution->M, &t[0], VIPS_ANGLE_D90, NULL) ||
vips_copy(t[0], &t[3], NULL))
return -1;
vips_image_set_double(t[3], "offset", 0);
if (vips_conv(in, &t[1], convolution->M,
"precision", convsep->precision,
"layers", convsep->layers,
"cluster", convsep->cluster,
NULL) ||
vips_conv(t[1], &t[2], t[3],
"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 = _("separable 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_FLOAT);
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_FLOAT;
convsep->layers = 5;
convsep->cluster = 1;
}
/**
* vips_convsep: (method)
* @in: input image
* @out: (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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