259 lines
5.8 KiB
C
259 lines
5.8 KiB
C
/* VipsDeviate
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*
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* Copyright: 1990, J. Cupitt
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*
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* Author: J. Cupitt
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* Written on: 02/08/1990
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* Modified on:
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* 5/5/93 JC
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* - now does partial images
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* - less likely to overflow
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* - adapted from im_deviate
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* 1/7/93 JC
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* - adapted for partial v2
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* - ANSIfied
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* 21/2/95 JC
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* - modernised again
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* 11/5/95 JC
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* - oops! return( NULL ) in im_deviate(), instead of return( -1 )
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* 20/6/95 JC
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* - now returns double, not float
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* 13/1/05
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* - use 64 bit arithmetic
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* 8/12/06
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* - add liboil support
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* 2/9/09
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* - gtk-doc comment
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* - minor reformatting
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* 4/9/09
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* - use im__wrapscan()
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* 31/7/10
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* - remove liboil
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* 6/11/11
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* - rewrite as a class
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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., 59 Temple Place, Suite 330, Boston, MA 02111-1307 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 <vips/intl.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <math.h>
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#include <vips/vips.h>
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#include <vips/internal.h>
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#include "statistic.h"
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typedef struct _VipsDeviate {
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VipsStatistic parent_instance;
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double sum;
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double sum2;
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double out;
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} VipsDeviate;
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typedef VipsStatisticClass VipsDeviateClass;
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G_DEFINE_TYPE( VipsDeviate, vips_deviate, VIPS_TYPE_STATISTIC );
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static int
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vips_deviate_build( VipsObject *object )
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{
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VipsStatistic *statistic = VIPS_STATISTIC( object );
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VipsDeviate *deviate = (VipsDeviate *) object;
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gint64 vals;
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double s, s2;
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if( statistic->in &&
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vips_check_noncomplex( "VipsDeviate", statistic->in ) )
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return( -1 );
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if( VIPS_OBJECT_CLASS( vips_deviate_parent_class )->build( object ) )
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return( -1 );
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/*
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NOTE: NR suggests a two-pass algorithm to minimise roundoff.
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But that's too expensive for us :-( so do it the old one-pass
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way.
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*/
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/* Calculate and return deviation. Add a fabs to stop sqrt(<=0).
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*/
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vals = (gint64)
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vips_image_get_width( statistic->in ) *
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vips_image_get_height( statistic->in ) *
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vips_image_get_bands( statistic->in );
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s = deviate->sum;
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s2 = deviate->sum2;
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g_object_set( object,
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"out", sqrt( fabs( s2 - (s * s / vals) ) / (vals - 1) ),
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NULL );
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return( 0 );
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}
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/* Start function: allocate space for an array in which we can accumulate the
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* sum and sum of squares for this thread.
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*/
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static void *
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vips_deviate_start( VipsStatistic *statistic )
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{
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return( (void *) g_new0( double, 2 ) );
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}
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/* Stop function. Add this little sum to the main sum.
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*/
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static int
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vips_deviate_stop( VipsStatistic *statistic, void *seq )
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{
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VipsDeviate *deviate = (VipsDeviate *) statistic;
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double *ss2 = (double *) seq;
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deviate->sum += ss2[0];
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deviate->sum2 += ss2[1];
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g_free( ss2 );
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return( 0 );
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}
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#define LOOP( TYPE ) { \
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TYPE *p = (TYPE *) in; \
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\
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for( x = 0; x < sz; x++ ) { \
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TYPE v = p[x]; \
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\
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sum += v; \
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sum2 += (double) v * (double) v; \
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} \
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}
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static int
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vips_deviate_scan( VipsStatistic *statistic, void *seq,
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int x, int y, void *in, int n )
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{
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const int sz = n * vips_image_get_bands( statistic->in );
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double *ss2 = (double *) seq;
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double sum;
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double sum2;
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sum = ss2[0];
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sum2 = ss2[1];
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/* Now generate code for all types.
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*/
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switch( vips_image_get_format( statistic->in ) ) {
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case VIPS_FORMAT_UCHAR: LOOP( unsigned char ); break;
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case VIPS_FORMAT_CHAR: LOOP( signed char ); break;
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case VIPS_FORMAT_USHORT: LOOP( unsigned short ); break;
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case VIPS_FORMAT_SHORT: LOOP( signed short ); break;
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case VIPS_FORMAT_UINT: LOOP( unsigned int ); break;
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case VIPS_FORMAT_INT: LOOP( signed int ); break;
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case VIPS_FORMAT_FLOAT: LOOP( float ); break;
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case VIPS_FORMAT_DOUBLE: LOOP( double ); break;
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default:
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g_assert( 0 );
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}
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ss2[0] = sum;
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ss2[1] = sum2;
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return( 0 );
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}
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static void
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vips_deviate_class_init( VipsDeviateClass *class )
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{
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GObjectClass *gobject_class = (GObjectClass *) class;
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VipsObjectClass *object_class = (VipsObjectClass *) class;
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VipsStatisticClass *sclass = VIPS_STATISTIC_CLASS( 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 = "deviate";
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object_class->description = _( "find image average" );
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object_class->build = vips_deviate_build;
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sclass->start = vips_deviate_start;
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sclass->scan = vips_deviate_scan;
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sclass->stop = vips_deviate_stop;
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VIPS_ARG_DOUBLE( class, "out", 2,
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_( "Output" ),
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_( "Output value" ),
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VIPS_ARGUMENT_REQUIRED_OUTPUT,
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G_STRUCT_OFFSET( VipsDeviate, out ),
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-G_MAXDOUBLE, G_MAXDOUBLE, 0.0 );
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}
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static void
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vips_deviate_init( VipsDeviate *deviate )
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{
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}
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/**
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* vips_deviate():
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* @in: input #VipsImage
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* @out: output pixel standard deviation
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* @...: %NULL-terminated list of optional named arguments
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*
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* This operation finds the standard deviation of all pixels in @in. It
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* operates on all bands of the input image: use vips_stats() if you need
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* to calculate an average for each band.
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*
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* Non-complex images only.
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*
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* See also: vips_avg(), vips_stats()..
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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_deviate( VipsImage *in, double *out, ... )
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{
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va_list ap;
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int result;
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va_start( ap, out );
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result = vips_call_split( "deviate", ap, in, out );
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va_end( ap );
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return( result );
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}
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