198 lines
5.0 KiB
C
198 lines
5.0 KiB
C
/* convolve twice, rotating the mask
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*
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* 23/10/13
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* - from vips_convsep()
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* 8/5/17
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* - default to float ... int will often lose precision and should not be
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* the default
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*/
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/*
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This file is part of VIPS.
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VIPS is free software; you can redistribute it and/or modify
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it under the terms of the GNU Lesser General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
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02110-1301 USA
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*/
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/*
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These files are distributed with VIPS - http://www.vips.ecs.soton.ac.uk
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*/
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#ifdef HAVE_CONFIG_H
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#include <config.h>
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#endif /*HAVE_CONFIG_H*/
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#include <glib/gi18n-lib.h>
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#include <stdio.h>
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#include <vips/vips.h>
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#include "pconvolution.h"
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typedef struct {
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VipsConvolution parent_instance;
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VipsPrecision precision;
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int layers;
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int cluster;
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} VipsConvsep;
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typedef VipsConvolutionClass VipsConvsepClass;
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G_DEFINE_TYPE( VipsConvsep, vips_convsep, VIPS_TYPE_CONVOLUTION );
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static int
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vips_convsep_build( VipsObject *object )
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{
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VipsObjectClass *class = VIPS_OBJECT_GET_CLASS( object );
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VipsConvolution *convolution = (VipsConvolution *) object;
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VipsConvsep *convsep = (VipsConvsep *) object;
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VipsImage **t = (VipsImage **)
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vips_object_local_array( object, 4 );
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VipsImage *in;
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g_object_set( convsep, "out", vips_image_new(), NULL );
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if( VIPS_OBJECT_CLASS( vips_convsep_parent_class )->build( object ) )
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return( -1 );
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if( vips_check_separable( class->nickname, convolution->M ) )
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return( -1 );
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in = convolution->in;
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if( convsep->precision == VIPS_PRECISION_APPROXIMATE ) {
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if( vips_convasep( in, &t[0], convolution->M,
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"layers", convsep->layers,
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NULL ) )
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return( -1 );
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in = t[0];
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}
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else {
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/* Take a copy, since we must set the offset.
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*/
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if( vips_rot( convolution->M, &t[0], VIPS_ANGLE_D90, NULL ) ||
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vips_copy( t[0], &t[3], NULL ) )
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return( -1 );
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vips_image_set_double( t[3], "offset", 0 );
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if( vips_conv( in, &t[1], convolution->M,
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"precision", convsep->precision,
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"layers", convsep->layers,
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"cluster", convsep->cluster,
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NULL ) ||
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vips_conv( t[1], &t[2], t[3],
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"precision", convsep->precision,
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"layers", convsep->layers,
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"cluster", convsep->cluster,
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NULL ) )
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return( -1 );
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in = t[2];
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}
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if( vips_image_write( in, convolution->out ) )
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return( -1 );
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return( 0 );
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}
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static void
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vips_convsep_class_init( VipsConvsepClass *class )
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{
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GObjectClass *gobject_class = G_OBJECT_CLASS( class );
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VipsObjectClass *object_class = (VipsObjectClass *) class;
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gobject_class->set_property = vips_object_set_property;
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gobject_class->get_property = vips_object_get_property;
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object_class->nickname = "convsep";
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object_class->description = _( "seperable convolution operation" );
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object_class->build = vips_convsep_build;
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VIPS_ARG_ENUM( class, "precision", 203,
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_( "Precision" ),
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_( "Convolve with this precision" ),
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VIPS_ARGUMENT_OPTIONAL_INPUT,
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G_STRUCT_OFFSET( VipsConvsep, precision ),
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VIPS_TYPE_PRECISION, VIPS_PRECISION_FLOAT );
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VIPS_ARG_INT( class, "layers", 204,
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_( "Layers" ),
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_( "Use this many layers in approximation" ),
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VIPS_ARGUMENT_OPTIONAL_INPUT,
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G_STRUCT_OFFSET( VipsConvsep, layers ),
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1, 1000, 5 );
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VIPS_ARG_INT( class, "cluster", 205,
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_( "Cluster" ),
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_( "Cluster lines closer than this in approximation" ),
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VIPS_ARGUMENT_OPTIONAL_INPUT,
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G_STRUCT_OFFSET( VipsConvsep, cluster ),
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1, 100, 1 );
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}
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static void
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vips_convsep_init( VipsConvsep *convsep )
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{
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convsep->precision = VIPS_PRECISION_FLOAT;
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convsep->layers = 5;
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convsep->cluster = 1;
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}
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/**
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* vips_convsep: (method)
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* @in: input image
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* @out: (out): output image
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* @mask: convolution mask
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* @...: %NULL-terminated list of optional named arguments
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*
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* Optional arguments:
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*
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* * @precision: calculation accuracy
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* * @layers: number of layers for approximation
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* * @cluster: cluster lines closer than this distance
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*
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* Perform a separable convolution of @in with @mask.
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* See vips_conv() for a detailed description.
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*
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* The mask must be 1xn or nx1 elements.
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*
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* The image is convolved twice: once with @mask and then again with @mask
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* rotated by 90 degrees. This is much faster for certain types of mask
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* (gaussian blur, for example) than doing a full 2D convolution.
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*
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* See also: vips_conv(), vips_gaussmat().
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*
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* Returns: 0 on success, -1 on error
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*/
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int
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vips_convsep( VipsImage *in, VipsImage **out, VipsImage *mask, ... )
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{
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va_list ap;
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int result;
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va_start( ap, mask );
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result = vips_call_split( "convsep", ap, in, out, mask );
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va_end( ap );
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return( result );
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}
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