+++ /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