--- /dev/null
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+// By downloading, copying, installing or using the software you agree to this license.
+// If you do not agree to this license, do not download, install,
+// copy or use the software.
+//
+//
+// Intel License Agreement
+// For Open Source Computer Vision Library
+//
+// Copyright (C) 2000, Intel Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+// * Redistribution's of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+//
+// * Redistribution's in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+//
+// * The name of Intel Corporation may not be used to endorse or promote products
+// derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+#include "_cv.h"
+
+#if 0
+
+IPCVAPI(CvStatus, icvCalcContrastHist8uC1R, ( uchar** img, int step, CvSize size,
+ CvHistogram* hist, int dont_clear ))
+
+IPCVAPI(CvStatus, icvCalcContrastHistMask8uC1R, ( uchar** img, int step,
+ uchar* mask, int mask_step, CvSize size,
+ CvHistogram* hist, int dont_clear ))
+
+/*F///////////////////////////////////////////////////////////////////////////////////////
+// Name: icvCalcContrastHist8uC1R
+// Purpose: Calculating the histogram of contrast from one-channel images
+// Context:
+// Parameters:
+// Returns:
+// Notes: if dont_clear parameter is NULL then histogram clearing before
+// calculating (all values sets to NULL)
+//F*/
+static CvStatus CV_STDCALL
+icvCalcContrastHist8uC1R( uchar** img, int step, CvSize size,
+ CvHistogram* hist, int dont_clear )
+{
+ int i, j, t, x = 0, y = 0;
+ int dims;
+
+ if( !hist || !img )
+ return CV_NULLPTR_ERR;
+
+ dims = hist->c_dims;
+ if( dims != 1 )
+ return CV_BADSIZE_ERR;
+
+ if( hist->type != CV_HIST_ARRAY )
+ return CV_BADFLAG_ERR;
+
+ for( i = 0; i < dims; i++ )
+ if( !img[i] )
+ return CV_NULLPTR_ERR;
+
+ for( i = 0; i < hist->c_dims; i++ )
+ {
+ if( !hist->thresh[i] )
+ return CV_NULLPTR_ERR;
+ assert( hist->chdims[i] );
+ }
+
+ j = hist->dims[0] * hist->mdims[0];
+
+ int *n = (int *)cvAlloc( (size_t)hist->dims[0] * sizeof( int ));
+
+ if( hist->type == CV_HIST_ARRAY )
+ {
+ if( !dont_clear )
+ for( i = 0; i < j; i++ )
+ {
+ hist->array[i] = 0;
+ n[i] = 0;
+ }
+
+ switch (hist->c_dims)
+ {
+ case 1:
+ {
+ uchar *data0 = img[0];
+ int *array = (int *) hist->array;
+ int *chdims = hist->chdims[0];
+
+ for( i = 0; i < j; i++ )
+ array[i] = cvRound( hist->array[i] );
+
+ for( y = 0; y < size.height; y++, data0 += step )
+ {
+ for( x = 0; x <= size.width - 1; x += 2 )
+ {
+ int v1_r = MIN( data0[x], data0[x + 1] );
+ int v2_r = MAX( data0[x], data0[x + 1] );
+
+// calculate contrast for the right-left pair
+ for( t = v1_r; t < v2_r; t++ )
+ {
+ int val0 = chdims[t + 128];
+
+ array[val0] += MIN( t - v1_r, v2_r - t );
+ n[val0]++;
+ }
+
+ if( y < size.height - 1 )
+ {
+ int v1_d = MIN( data0[x], data0[x + step] );
+ int v2_d = MAX( data0[x], data0[x + step] );
+
+// calculate contrast for the top-down pair
+ for( t = v1_d; t < v2_d; t++ )
+ {
+ int val0 = chdims[t + 128];
+
+ array[val0] += MIN( t - v1_d, v2_d - t );
+ n[val0]++;
+ }
+ }
+ }
+ }
+
+// convert int to float
+ for( i = 0; i < j; i++ )
+ {
+ if( n[i] != 0 )
+ hist->array[i] = (float) array[i] / n[i];
+ else
+ hist->array[i] = 0;
+ }
+ }
+ break;
+ default:
+ return CV_BADSIZE_ERR;
+ }
+ }
+
+ cvFree( &n );
+ return CV_NO_ERR;
+}
+
+/*F///////////////////////////////////////////////////////////////////////////////////////
+// Name: icvCalcContrastHistMask8uC1R
+// Purpose: Calculating the mask histogram of contrast from one-channel images
+// Context:
+// Parameters:
+// Returns:
+// Notes: if dont_clear parameter is NULL then histogram clearing before
+// calculating (all values sets to NULL)
+//F*/
+static CvStatus CV_STDCALL
+icvCalcContrastHistMask8uC1R( uchar** img, int step, uchar* mask, int mask_step,
+ CvSize size, CvHistogram * hist, int dont_clear )
+{
+ int i, j, t, x = 0, y = 0;
+ int dims;
+
+
+ if( !hist || !img || !mask )
+ return CV_NULLPTR_ERR;
+
+ dims = hist->c_dims;
+ if( dims != 1 )
+ return CV_BADSIZE_ERR;
+
+ if( hist->type != CV_HIST_ARRAY )
+ return CV_BADFLAG_ERR;
+
+ for( i = 0; i < dims; i++ )
+ if( !img[i] )
+ return CV_NULLPTR_ERR;
+
+ for( i = 0; i < hist->c_dims; i++ )
+ {
+ if( !hist->thresh[i] )
+ return CV_NULLPTR_ERR;
+ assert( hist->chdims[i] );
+ }
+
+ j = hist->dims[0] * hist->mdims[0];
+
+ int *n = (int *)cvAlloc( (size_t) hist->dims[0] * sizeof( int ));
+
+ if( hist->type == CV_HIST_ARRAY )
+ {
+ if( !dont_clear )
+ for( i = 0; i < j; i++ )
+ {
+ hist->array[i] = 0;
+ n[i] = 0;
+ }
+
+ switch (hist->c_dims)
+ {
+ case 1:
+ {
+ uchar *data0 = img[0];
+ uchar *maskp = mask;
+ int *array = (int *) hist->array;
+ int *chdims = hist->chdims[0];
+
+ for( i = 0; i < j; i++ )
+ array[i] = cvRound( hist->array[i] );
+
+ for( y = 0; y < size.height; y++, data0 += step, maskp += mask_step )
+ {
+ for( x = 0; x <= size.width - 2; x++ )
+ {
+ if( maskp[x] )
+ {
+ if( maskp[x + 1] )
+ {
+ int v1_r = MIN( data0[x], data0[x + 1] );
+ int v2_r = MAX( data0[x], data0[x + 1] );
+
+
+ // calculate contrast for the right-left pair
+ for( t = v1_r; t < v2_r; t++ )
+ {
+ int val0 = chdims[t + 128];
+
+ array[val0] += MIN( t - v1_r, v2_r - t );
+ n[val0]++;
+
+ }
+ }
+
+ if( y < size.height - 1 )
+ {
+ if( maskp[x + mask_step] )
+ {
+ int v1_d = MIN( data0[x], data0[x + step] );
+ int v2_d = MAX( data0[x], data0[x + step] );
+
+ // calculate contrast for the top-down pair
+ for( t = v1_d; t < v2_d; t++ )
+ {
+ int val0 = chdims[t + 128];
+
+ array[val0] += MIN( t - v1_d, v2_d - t );
+ n[val0]++;
+
+ }
+ }
+ }
+ }
+ }
+ }
+
+// convert int to float
+ for( i = 0; i < j; i++ )
+ {
+ if( n[i] != 0 )
+ hist->array[i] = (float) array[i] / n[i];
+ else
+ hist->array[i] = 0;
+ }
+ }
+ break;
+ default:
+ return CV_BADSIZE_ERR;
+ }
+ }
+
+ cvFree( &n );
+ return CV_NO_ERR;
+}
+
+/*
+CV_IMPL void cvCalcContrastHist( IplImage** img, CvHistogram* hist, int dont_clear )
+{
+ CV_FUNCNAME( "cvCalcContrastHist" );
+ uchar* data[CV_HIST_MAX_DIM];
+ int step = 0;
+ CvSize roi = {0,0};
+
+ __BEGIN__;
+
+ {for( int i = 0; i < hist->c_dims; i++ )
+ CV_CALL( CV_CHECK_IMAGE( img[i] ) );}
+
+ {for( int i = 0; i < hist->c_dims; i++ )
+ cvGetImageRawData( img[i], &data[i], &step, &roi );}
+
+ if(img[0]->nChannels != 1)
+ CV_ERROR( IPL_BadNumChannels, "bad channels numbers" );
+
+ if(img[0]->depth != IPL_DEPTH_8U)
+ CV_ERROR( IPL_BadDepth, "bad image depth" );
+
+ switch(img[0]->depth)
+ {
+ case IPL_DEPTH_8U:
+ IPPI_CALL( icvCalcContrastHist8uC1R( data, step, roi, hist, dont_clear ) );
+ break;
+ default: CV_ERROR( IPL_BadDepth, "bad image depth" );
+ }
+
+ __CLEANUP__;
+ __END__;
+}
+*/
+
+CV_IMPL void
+cvCalcContrastHist( IplImage ** img, CvHistogram * hist, int dont_clear, IplImage * mask )
+{
+ CV_FUNCNAME( "cvCalcContrastHist" );
+ uchar *data[CV_HIST_MAX_DIM];
+ uchar *mask_data = 0;
+ int step = 0;
+ int mask_step = 0;
+ CvSize roi = { 0, 0 };
+
+ __BEGIN__;
+
+ {
+ for( int i = 0; i < hist->c_dims; i++ )
+ CV_CALL( CV_CHECK_IMAGE( img[i] ));
+ }
+ if( mask )
+ {
+ CV_CALL( CV_CHECK_IMAGE( mask ));
+ if( mask->depth != IPL_DEPTH_8U )
+ CV_ERROR( CV_BadDepth, "bad mask depth" );
+ cvGetImageRawData( mask, &mask_data, &mask_step, 0 );
+ }
+
+
+ {
+ for( int i = 0; i < hist->c_dims; i++ )
+ cvGetImageRawData( img[i], &data[i], &step, &roi );
+ }
+
+ if( img[0]->nChannels != 1 )
+ CV_ERROR( CV_BadNumChannels, "bad channels numbers" );
+
+ if( img[0]->depth != IPL_DEPTH_8U )
+ CV_ERROR( CV_BadDepth, "bad image depth" );
+
+
+ switch (img[0]->depth)
+ {
+ case IPL_DEPTH_8U:
+ if( !mask )
+ {
+ IPPI_CALL( icvCalcContrastHist8uC1R( data, step, roi, hist, dont_clear ));
+ }
+ else
+ {
+ IPPI_CALL( icvCalcContrastHistMask8uC1R( data, step, mask_data,
+ mask_step, roi, hist, dont_clear ));
+ }
+ break;
+ default:
+ CV_ERROR( CV_BadDepth, "bad image depth" );
+ }
+
+ __CLEANUP__;
+ __END__;
+}
+
+#endif
projects / opencv / blobdiff