/* n-dimensional histogram * * Written on: 8/7/03 * 10/11/04 * - oops, was not checking the bandfmt coming in * 24/3/10 * - gtkdoc * - small celanups * 17/8/13 * - redo as a class * 28/1/22 travisbell * - better arg checking */ /* 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 #endif /*HAVE_CONFIG_H*/ #include #include #include #include #include #include "statistic.h" struct _VipsHistFindNDim; /* Accumulate a histogram in one of these. */ typedef struct { struct _VipsHistFindNDim *ndim; unsigned int ***data; } Histogram; typedef struct _VipsHistFindNDim { VipsStatistic parent_instance; /* Number of bins on each axis. */ int bins; /* Max pixel value for this format. */ int max_val; /* Main image histogram. Subhists accumulate to this. */ Histogram *hist; /* Write hist to this output image. */ VipsImage *out; } VipsHistFindNDim; typedef VipsStatisticClass VipsHistFindNDimClass; G_DEFINE_TYPE( VipsHistFindNDim, vips_hist_find_ndim, VIPS_TYPE_STATISTIC ); /* Build a Histogram. */ static Histogram * histogram_new( VipsHistFindNDim *ndim ) { VipsImage *in = VIPS_STATISTIC( ndim )->ready; int bins = ndim->bins; /* How many dimensions do we need to allocate? */ int ilimit = in->Bands > 2 ? bins : 1; int jlimit = in->Bands > 1 ? bins : 1; int i, j; Histogram *hist; if( !(hist = VIPS_NEW( ndim, Histogram )) ) return( NULL ); hist->ndim = ndim; if( !(hist->data = VIPS_ARRAY( ndim, bins, unsigned int ** )) ) return( NULL ); memset( hist->data, 0, bins * sizeof( unsigned int ** ) ); for( i = 0; i < ilimit; i++ ) { if( !(hist->data[i] = VIPS_ARRAY( ndim, bins, unsigned int * )) ) return( NULL ); memset( hist->data[i], 0, bins * sizeof( unsigned int * ) ); for( j = 0; j < jlimit; j++ ) { if( !(hist->data[i][j] = VIPS_ARRAY( ndim, bins, unsigned int )) ) return( NULL ); memset( hist->data[i][j], 0, bins * sizeof( unsigned int ) ); } } return( hist ); } static int vips_hist_find_ndim_build( VipsObject *object ) { VipsStatistic *statistic = VIPS_STATISTIC( object ); VipsHistFindNDim *ndim = (VipsHistFindNDim *) object; unsigned int *obuffer; int y, i, x, z; g_object_set( object, "out", vips_image_new(), NULL ); if( statistic->in ) { VipsObjectClass *class = VIPS_OBJECT_GET_CLASS( ndim ); if( statistic->in->Bands > 3 ) { vips_error( class->nickname, "%s", _( "image is not 1 - 3 bands" ) ); return( -1 ); } ndim->max_val = statistic->in->BandFmt == VIPS_FORMAT_UCHAR ? 256 : 65536; if( ndim->bins < 1 || ndim->bins > ndim->max_val ) { vips_error( class->nickname, _( "bins out of range [1,%d]" ), ndim->max_val ); return( -1 ); } } /* main hist made on first thread start. */ if( VIPS_OBJECT_CLASS( vips_hist_find_ndim_parent_class )-> build( object ) ) return( -1 ); if( vips_image_pipelinev( ndim->out, VIPS_DEMAND_STYLE_ANY, statistic->ready, NULL ) ) return( -1 ); vips_image_init_fields( ndim->out, ndim->bins, statistic->ready->Bands > 1 ? ndim->bins : 1, statistic->ready->Bands > 2 ? ndim->bins : 1, VIPS_FORMAT_UINT, VIPS_CODING_NONE, VIPS_INTERPRETATION_HISTOGRAM, 1.0, 1.0 ); if( !(obuffer = VIPS_ARRAY( ndim, VIPS_IMAGE_N_ELEMENTS( ndim->out ), unsigned int )) ) return( -1 ); for( y = 0; y < ndim->out->Ysize; y++ ) { for( i = 0, x = 0; x < ndim->out->Xsize; x++ ) for( z = 0; z < ndim->out->Bands; z++, i++ ) obuffer[i] = ndim->hist->data[z][y][x]; if( vips_image_write_line( ndim->out, y, (VipsPel *) obuffer ) ) return( -1 ); } return( 0 ); } static void * vips_hist_find_ndim_start( VipsStatistic *statistic ) { VipsHistFindNDim *ndim = (VipsHistFindNDim *) statistic; /* Make the main hist, if necessary. */ if( !ndim->hist ) ndim->hist = histogram_new( ndim ); return( (void *) histogram_new( ndim ) ); } /* Join a sub-hist onto the main hist. */ static int vips_hist_find_ndim_stop( VipsStatistic *statistic, void *seq ) { Histogram *sub_hist = (Histogram *) seq; VipsHistFindNDim *ndim = (VipsHistFindNDim *) statistic; Histogram *hist = ndim->hist; int i, j, k; for( i = 0; i < ndim->bins; i++ ) for( j = 0; j < ndim->bins; j++ ) for( k = 0; k < ndim->bins; k++ ) if( hist->data[i] && hist->data[i][j] ) { hist->data[i][j][k] += sub_hist->data[i][j][k]; /* Zap sub-hist to make sure we * can't add it again. */ sub_hist->data[i][j][k] = 0; } return( 0 ); } #define LOOP( TYPE ) { \ TYPE *p = (TYPE *) in; \ \ for( i = 0, j = 0; j < n; j++ ) { \ for( k = 0; k < nb; k++, i++ ) \ index[k] = p[i] / scale; \ \ hist->data[index[2]][index[1]][index[0]] += 1; \ } \ } static int vips_hist_find_ndim_scan( VipsStatistic *statistic, void *seq, int x, int y, void *in, int n ) { Histogram *hist = (Histogram *) seq; VipsHistFindNDim *ndim = (VipsHistFindNDim *) statistic; VipsImage *im = statistic->ready; int nb = im->Bands; double scale = (double) (ndim->max_val + 1) / ndim->bins; int i, j, k; int index[3]; /* Fill these with dimensions, backwards. */ index[0] = index[1] = index[2] = 0; switch( im->BandFmt ) { case VIPS_FORMAT_UCHAR: LOOP( unsigned char ); break; case VIPS_FORMAT_USHORT: LOOP( unsigned short ); break; default: g_assert_not_reached(); } return( 0 ); } /* Save a bit of typing. */ #define UC VIPS_FORMAT_UCHAR #define US VIPS_FORMAT_USHORT #define UI VIPS_FORMAT_UINT /* Type mapping: go to uchar or ushort. */ static const VipsBandFormat vips_hist_find_ndim_format_table[10] = { /* Band format: UC C US S UI I F X D DX */ /* Promotion: */ UC, UC, US, US, US, US, US, US, US, US }; static void vips_hist_find_ndim_class_init( VipsHistFindNDimClass *class ) { GObjectClass *gobject_class = (GObjectClass *) class; VipsObjectClass *object_class = (VipsObjectClass *) class; VipsStatisticClass *sclass = VIPS_STATISTIC_CLASS( class ); gobject_class->set_property = vips_object_set_property; gobject_class->get_property = vips_object_get_property; object_class->nickname = "hist_find_ndim"; object_class->description = _( "find n-dimensional image histogram" ); object_class->build = vips_hist_find_ndim_build; sclass->start = vips_hist_find_ndim_start; sclass->scan = vips_hist_find_ndim_scan; sclass->stop = vips_hist_find_ndim_stop; sclass->format_table = vips_hist_find_ndim_format_table; VIPS_ARG_IMAGE( class, "out", 100, _( "Output" ), _( "Output histogram" ), VIPS_ARGUMENT_REQUIRED_OUTPUT, G_STRUCT_OFFSET( VipsHistFindNDim, out ) ); VIPS_ARG_INT( class, "bins", 110, _( "Bins" ), _( "Number of bins in each dimension" ), VIPS_ARGUMENT_OPTIONAL_INPUT, G_STRUCT_OFFSET( VipsHistFindNDim, bins ), 1, 65536, 10 ); } static void vips_hist_find_ndim_init( VipsHistFindNDim *ndim ) { ndim->bins = 10; } /** * vips_hist_find_ndim: (method) * @in: input image * @out: (out): output image * @...: %NULL-terminated list of optional named arguments * * Optional arguments: * * * @bins: number of bins to make on each axis * * Make a one, two or three dimensional histogram of a 1, 2 or * 3 band image. Divide each axis into @bins bins .. ie. * output is 1 x bins, bins x bins, or bins x bins x bins bands. * @bins defaults to 10. * * char and uchar images are cast to uchar before histogramming, all other * image types are cast to ushort. * * See also: vips_hist_find(), vips_hist_find_indexed(). * * Returns: 0 on success, -1 on error */ int vips_hist_find_ndim( VipsImage *in, VipsImage **out, ... ) { va_list ap; int result; va_start( ap, out ); result = vips_call_split( "hist_find_ndim", ap, in, out ); va_end( ap ); return( result ); }