+++ /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"
-
-#define ICV_DIST_SHIFT 16
-#define ICV_INIT_DIST0 (INT_MAX >> 2)
-
-static CvStatus
-icvInitTopBottom( int* temp, int tempstep, CvSize size, int border )
-{
- int i, j;
- for( i = 0; i < border; i++ )
- {
- int* ttop = (int*)(temp + i*tempstep);
- int* tbottom = (int*)(temp + (size.height + border*2 - i - 1)*tempstep);
-
- for( j = 0; j < size.width + border*2; j++ )
- {
- ttop[j] = ICV_INIT_DIST0;
- tbottom[j] = ICV_INIT_DIST0;
- }
- }
-
- return CV_OK;
-}
-
-
-static CvStatus CV_STDCALL
-icvDistanceTransform_3x3_C1R( const uchar* src, int srcstep, int* temp,
- int step, float* dist, int dststep, CvSize size, const float* metrics )
-{
- const int BORDER = 1;
- int i, j;
- const int HV_DIST = CV_FLT_TO_FIX( metrics[0], ICV_DIST_SHIFT );
- const int DIAG_DIST = CV_FLT_TO_FIX( metrics[1], ICV_DIST_SHIFT );
- const float scale = 1.f/(1 << ICV_DIST_SHIFT);
-
- srcstep /= sizeof(src[0]);
- step /= sizeof(temp[0]);
- dststep /= sizeof(dist[0]);
-
- icvInitTopBottom( temp, step, size, BORDER );
-
- // forward pass
- for( i = 0; i < size.height; i++ )
- {
- const uchar* s = src + i*srcstep;
- int* tmp = (int*)(temp + (i+BORDER)*step) + BORDER;
-
- for( j = 0; j < BORDER; j++ )
- tmp[-j-1] = tmp[size.width + j] = ICV_INIT_DIST0;
-
- for( j = 0; j < size.width; j++ )
- {
- if( !s[j] )
- tmp[j] = 0;
- else
- {
- int t0 = tmp[j-step-1] + DIAG_DIST;
- int t = tmp[j-step] + HV_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j-step+1] + DIAG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j-1] + HV_DIST;
- if( t0 > t ) t0 = t;
- tmp[j] = t0;
- }
- }
- }
-
- // backward pass
- for( i = size.height - 1; i >= 0; i-- )
- {
- float* d = (float*)(dist + i*dststep);
- int* tmp = (int*)(temp + (i+BORDER)*step) + BORDER;
-
- for( j = size.width - 1; j >= 0; j-- )
- {
- int t0 = tmp[j];
- if( t0 > HV_DIST )
- {
- int t = tmp[j+step+1] + DIAG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+step] + HV_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+step-1] + DIAG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+1] + HV_DIST;
- if( t0 > t ) t0 = t;
- tmp[j] = t0;
- }
- d[j] = (float)(t0 * scale);
- }
- }
-
- return CV_OK;
-}
-
-
-static CvStatus CV_STDCALL
-icvDistanceTransform_5x5_C1R( const uchar* src, int srcstep, int* temp,
- int step, float* dist, int dststep, CvSize size, const float* metrics )
-{
- const int BORDER = 2;
- int i, j;
- const int HV_DIST = CV_FLT_TO_FIX( metrics[0], ICV_DIST_SHIFT );
- const int DIAG_DIST = CV_FLT_TO_FIX( metrics[1], ICV_DIST_SHIFT );
- const int LONG_DIST = CV_FLT_TO_FIX( metrics[2], ICV_DIST_SHIFT );
- const float scale = 1.f/(1 << ICV_DIST_SHIFT);
-
- srcstep /= sizeof(src[0]);
- step /= sizeof(temp[0]);
- dststep /= sizeof(dist[0]);
-
- icvInitTopBottom( temp, step, size, BORDER );
-
- // forward pass
- for( i = 0; i < size.height; i++ )
- {
- const uchar* s = src + i*srcstep;
- int* tmp = (int*)(temp + (i+BORDER)*step) + BORDER;
-
- for( j = 0; j < BORDER; j++ )
- tmp[-j-1] = tmp[size.width + j] = ICV_INIT_DIST0;
-
- for( j = 0; j < size.width; j++ )
- {
- if( !s[j] )
- tmp[j] = 0;
- else
- {
- int t0 = tmp[j-step*2-1] + LONG_DIST;
- int t = tmp[j-step*2+1] + LONG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j-step-2] + LONG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j-step-1] + DIAG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j-step] + HV_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j-step+1] + DIAG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j-step+2] + LONG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j-1] + HV_DIST;
- if( t0 > t ) t0 = t;
- tmp[j] = t0;
- }
- }
- }
-
- // backward pass
- for( i = size.height - 1; i >= 0; i-- )
- {
- float* d = (float*)(dist + i*dststep);
- int* tmp = (int*)(temp + (i+BORDER)*step) + BORDER;
-
- for( j = size.width - 1; j >= 0; j-- )
- {
- int t0 = tmp[j];
- if( t0 > HV_DIST )
- {
- int t = tmp[j+step*2+1] + LONG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+step*2-1] + LONG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+step+2] + LONG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+step+1] + DIAG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+step] + HV_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+step-1] + DIAG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+step-2] + LONG_DIST;
- if( t0 > t ) t0 = t;
- t = tmp[j+1] + HV_DIST;
- if( t0 > t ) t0 = t;
- tmp[j] = t0;
- }
- d[j] = (float)(t0 * scale);
- }
- }
-
- return CV_OK;
-}
-
-
-static CvStatus CV_STDCALL
-icvDistanceTransformEx_5x5_C1R( const uchar* src, int srcstep, int* temp,
- int step, float* dist, int dststep, int* labels, int lstep,
- CvSize size, const float* metrics )
-{
- const int BORDER = 2;
-
- int i, j;
- const int HV_DIST = CV_FLT_TO_FIX( metrics[0], ICV_DIST_SHIFT );
- const int DIAG_DIST = CV_FLT_TO_FIX( metrics[1], ICV_DIST_SHIFT );
- const int LONG_DIST = CV_FLT_TO_FIX( metrics[2], ICV_DIST_SHIFT );
- const float scale = 1.f/(1 << ICV_DIST_SHIFT);
-
- srcstep /= sizeof(src[0]);
- step /= sizeof(temp[0]);
- dststep /= sizeof(dist[0]);
- lstep /= sizeof(labels[0]);
-
- icvInitTopBottom( temp, step, size, BORDER );
-
- // forward pass
- for( i = 0; i < size.height; i++ )
- {
- const uchar* s = src + i*srcstep;
- int* tmp = (int*)(temp + (i+BORDER)*step) + BORDER;
- int* lls = (int*)(labels + i*lstep);
-
- for( j = 0; j < BORDER; j++ )
- tmp[-j-1] = tmp[size.width + j] = ICV_INIT_DIST0;
-
- for( j = 0; j < size.width; j++ )
- {
- if( !s[j] )
- {
- tmp[j] = 0;
- //assert( lls[j] != 0 );
- }
- else
- {
- int t0 = ICV_INIT_DIST0, t;
- int l0 = 0;
-
- t = tmp[j-step*2-1] + LONG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j-lstep*2-1];
- }
- t = tmp[j-step*2+1] + LONG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j-lstep*2+1];
- }
- t = tmp[j-step-2] + LONG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j-lstep-2];
- }
- t = tmp[j-step-1] + DIAG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j-lstep-1];
- }
- t = tmp[j-step] + HV_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j-lstep];
- }
- t = tmp[j-step+1] + DIAG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j-lstep+1];
- }
- t = tmp[j-step+2] + LONG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j-lstep+2];
- }
- t = tmp[j-1] + HV_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j-1];
- }
-
- tmp[j] = t0;
- lls[j] = l0;
- }
- }
- }
-
- // backward pass
- for( i = size.height - 1; i >= 0; i-- )
- {
- float* d = (float*)(dist + i*dststep);
- int* tmp = (int*)(temp + (i+BORDER)*step) + BORDER;
- int* lls = (int*)(labels + i*lstep);
-
- for( j = size.width - 1; j >= 0; j-- )
- {
- int t0 = tmp[j];
- int l0 = lls[j];
- if( t0 > HV_DIST )
- {
- int t = tmp[j+step*2+1] + LONG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j+lstep*2+1];
- }
- t = tmp[j+step*2-1] + LONG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j+lstep*2-1];
- }
- t = tmp[j+step+2] + LONG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j+lstep+2];
- }
- t = tmp[j+step+1] + DIAG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j+lstep+1];
- }
- t = tmp[j+step] + HV_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j+lstep];
- }
- t = tmp[j+step-1] + DIAG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j+lstep-1];
- }
- t = tmp[j+step-2] + LONG_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j+lstep-2];
- }
- t = tmp[j+1] + HV_DIST;
- if( t0 > t )
- {
- t0 = t;
- l0 = lls[j+1];
- }
- tmp[j] = t0;
- lls[j] = l0;
- }
- d[j] = (float)(t0 * scale);
- }
- }
-
- return CV_OK;
-}
-
-
-static CvStatus
-icvGetDistanceTransformMask( int maskType, float *metrics )
-{
- if( !metrics )
- return CV_NULLPTR_ERR;
-
- switch (maskType)
- {
- case 30:
- metrics[0] = 1.0f;
- metrics[1] = 1.0f;
- break;
-
- case 31:
- metrics[0] = 1.0f;
- metrics[1] = 2.0f;
- break;
-
- case 32:
- metrics[0] = 0.955f;
- metrics[1] = 1.3693f;
- break;
-
- case 50:
- metrics[0] = 1.0f;
- metrics[1] = 1.0f;
- metrics[2] = 2.0f;
- break;
-
- case 51:
- metrics[0] = 1.0f;
- metrics[1] = 2.0f;
- metrics[2] = 3.0f;
- break;
-
- case 52:
- metrics[0] = 1.0f;
- metrics[1] = 1.4f;
- metrics[2] = 2.1969f;
- break;
- default:
- return CV_BADRANGE_ERR;
- }
-
- return CV_OK;
-}
-
-
-static void
-icvTrueDistTrans( const CvMat* src, CvMat* dst )
-{
- CvMat* buffer = 0;
-
- CV_FUNCNAME( "cvDistTransform2" );
-
- __BEGIN__;
-
- int i, m, n;
- int sstep, dstep;
- const float inf = 1e6f;
- int thread_count = cvGetNumThreads();
- int pass1_sz, pass2_sz;
-
- if( !CV_ARE_SIZES_EQ( src, dst ))
- CV_ERROR( CV_StsUnmatchedSizes, "" );
-
- if( CV_MAT_TYPE(src->type) != CV_8UC1 ||
- CV_MAT_TYPE(dst->type) != CV_32FC1 )
- CV_ERROR( CV_StsUnsupportedFormat,
- "The input image must have 8uC1 type and the output one must have 32fC1 type" );
-
- m = src->rows;
- n = src->cols;
-
- // (see stage 1 below):
- // sqr_tab: 2*m, sat_tab: 3*m + 1, d: m*thread_count,
- pass1_sz = src->rows*(5 + thread_count) + 1;
- // (see stage 2):
- // sqr_tab & inv_tab: n each; f & v: n*thread_count each; z: (n+1)*thread_count
- pass2_sz = src->cols*(2 + thread_count*3) + thread_count;
- CV_CALL( buffer = cvCreateMat( 1, MAX(pass1_sz, pass2_sz), CV_32FC1 ));
-
- sstep = src->step;
- dstep = dst->step / sizeof(float);
-
- // stage 1: compute 1d distance transform of each column
- {
- float* sqr_tab = buffer->data.fl;
- int* sat_tab = (int*)(sqr_tab + m*2);
- const int shift = m*2;
-
- for( i = 0; i < m; i++ )
- sqr_tab[i] = (float)(i*i);
- for( i = m; i < m*2; i++ )
- sqr_tab[i] = inf;
- for( i = 0; i < shift; i++ )
- sat_tab[i] = 0;
- for( ; i <= m*3; i++ )
- sat_tab[i] = i - shift;
-
-#ifdef _OPENMP
- #pragma omp parallel for num_threads(thread_count)
-#endif
- for( i = 0; i < n; i++ )
- {
- const uchar* sptr = src->data.ptr + i + (m-1)*sstep;
- float* dptr = dst->data.fl + i;
- int* d = (int*)(sat_tab + m*3+1+m*cvGetThreadNum());
- int j, dist = m-1;
-
- for( j = m-1; j >= 0; j--, sptr -= sstep )
- {
- dist = (dist + 1) & (sptr[0] == 0 ? 0 : -1);
- d[j] = dist;
- }
-
- dist = m-1;
- for( j = 0; j < m; j++, dptr += dstep )
- {
- dist = dist + 1 - sat_tab[dist + 1 - d[j] + shift];
- d[j] = dist;
- dptr[0] = sqr_tab[dist];
- }
- }
- }
-
- // stage 2: compute modified distance transform for each row
- {
- float* inv_tab = buffer->data.fl;
- float* sqr_tab = inv_tab + n;
-
- inv_tab[0] = sqr_tab[0] = 0.f;
- for( i = 1; i < n; i++ )
- {
- inv_tab[i] = (float)(0.5/i);
- sqr_tab[i] = (float)(i*i);
- }
-
-#ifdef _OPENMP
- #pragma omp parallel for num_threads(thread_count), schedule(dynamic)
-#endif
- for( i = 0; i < m; i++ )
- {
- float* d = (float*)(dst->data.ptr + i*dst->step);
- float* f = sqr_tab + n + (n*3+1)*cvGetThreadNum();
- float* z = f + n;
- int* v = (int*)(z + n + 1);
- int p, q, k;
-
- v[0] = 0;
- z[0] = -inf;
- z[1] = inf;
- f[0] = d[0];
-
- for( q = 1, k = 0; q < n; q++ )
- {
- float fq = d[q];
- f[q] = fq;
-
- for(;;k--)
- {
- p = v[k];
- float s = (fq + sqr_tab[q] - d[p] - sqr_tab[p])*inv_tab[q - p];
- if( s > z[k] )
- {
- k++;
- v[k] = q;
- z[k] = s;
- z[k+1] = inf;
- break;
- }
- }
- }
-
- for( q = 0, k = 0; q < n; q++ )
- {
- while( z[k+1] < q )
- k++;
- p = v[k];
- d[q] = sqr_tab[abs(q - p)] + f[p];
- }
- }
- }
-
- cvPow( dst, dst, 0.5 );
-
- __END__;
-
- cvReleaseMat( &buffer );
-}
-
-
-/*********************************** IPP functions *********************************/
-
-icvDistanceTransform_3x3_8u32f_C1R_t icvDistanceTransform_3x3_8u32f_C1R_p = 0;
-icvDistanceTransform_5x5_8u32f_C1R_t icvDistanceTransform_5x5_8u32f_C1R_p = 0;
-icvDistanceTransform_3x3_8u_C1IR_t icvDistanceTransform_3x3_8u_C1IR_p = 0;
-icvDistanceTransform_3x3_8u_C1R_t icvDistanceTransform_3x3_8u_C1R_p = 0;
-
-typedef CvStatus (CV_STDCALL * CvIPPDistTransFunc)( const uchar* src, int srcstep,
- void* dst, int dststep,
- CvSize size, const void* metrics );
-
-typedef CvStatus (CV_STDCALL * CvIPPDistTransFunc2)( uchar* src, int srcstep,
- CvSize size, const int* metrics );
-
-/***********************************************************************************/
-
-typedef CvStatus (CV_STDCALL * CvDistTransFunc)( const uchar* src, int srcstep,
- int* temp, int tempstep,
- float* dst, int dststep,
- CvSize size, const float* metrics );
-
-
-/****************************************************************************************\
- User-contributed code:
-
- Non-inplace and Inplace 8u->8u Distance Transform for CityBlock (a.k.a. L1) metric
- (C) 2006 by Jay Stavinzky.
-\****************************************************************************************/
-
-//BEGIN ATS ADDITION
-/* 8-bit grayscale distance transform function */
-static void
-icvDistanceATS_L1_8u( const CvMat* src, CvMat* dst )
-{
- CV_FUNCNAME( "cvDistanceATS" );
-
- __BEGIN__;
-
- int width = src->cols, height = src->rows;
-
- int a;
- uchar lut[256];
- int x, y;
-
- const uchar *sbase = src->data.ptr;
- uchar *dbase = dst->data.ptr;
- int srcstep = src->step;
- int dststep = dst->step;
-
- CV_ASSERT( CV_IS_MASK_ARR( src ) && CV_MAT_TYPE( dst->type ) == CV_8UC1 );
- CV_ASSERT( CV_ARE_SIZES_EQ( src, dst ));
-
- ////////////////////// forward scan ////////////////////////
- for( x = 0; x < 256; x++ )
- lut[x] = CV_CAST_8U(x+1);
-
- //init first pixel to max (we're going to be skipping it)
- dbase[0] = (uchar)(sbase[0] == 0 ? 0 : 255);
-
- //first row (scan west only, skip first pixel)
- for( x = 1; x < width; x++ )
- dbase[x] = (uchar)(sbase[x] == 0 ? 0 : lut[dbase[x-1]]);
-
- for( y = 1; y < height; y++ )
- {
- sbase += srcstep;
- dbase += dststep;
-
- //for left edge, scan north only
- a = sbase[0] == 0 ? 0 : lut[dbase[-dststep]];
- dbase[0] = (uchar)a;
-
- for( x = 1; x < width; x++ )
- {
- a = sbase[x] == 0 ? 0 : lut[CV_CALC_MIN_8U(a, dbase[x - dststep])];
- dbase[x] = (uchar)a;
- }
- }
-
- ////////////////////// backward scan ///////////////////////
-
- a = dbase[width-1];
-
- // do last row east pixel scan here (skip bottom right pixel)
- for( x = width - 2; x >= 0; x-- )
- {
- a = lut[a];
- dbase[x] = (uchar)(CV_CALC_MIN_8U(a, dbase[x]));
- }
-
- // right edge is the only error case
- for( y = height - 2; y >= 0; y-- )
- {
- dbase -= dststep;
-
- // do right edge
- a = lut[dbase[width-1+dststep]];
- dbase[width-1] = (uchar)(CV_CALC_MIN_8U(a, dbase[width-1]));
-
- for( x = width - 2; x >= 0; x-- )
- {
- int b = dbase[x+dststep];
- a = lut[CV_CALC_MIN_8U(a, b)];
- dbase[x] = (uchar)(CV_CALC_MIN_8U(a, dbase[x]));
- }
- }
-
- __END__;
-}
-//END ATS ADDITION
-
-
-/* Wrapper function for distance transform group */
-CV_IMPL void
-cvDistTransform( const void* srcarr, void* dstarr,
- int distType, int maskSize,
- const float *mask,
- void* labelsarr )
-{
- CvMat* temp = 0;
- CvMat* src_copy = 0;
- CvMemStorage* st = 0;
-
- CV_FUNCNAME( "cvDistTransform" );
-
- __BEGIN__;
-
- float _mask[5] = {0};
- int _imask[3];
- CvMat srcstub, *src = (CvMat*)srcarr;
- CvMat dststub, *dst = (CvMat*)dstarr;
- CvMat lstub, *labels = (CvMat*)labelsarr;
- CvSize size;
- CvIPPDistTransFunc ipp_func = 0;
- CvIPPDistTransFunc2 ipp_inp_func = 0;
-
- CV_CALL( src = cvGetMat( src, &srcstub ));
- CV_CALL( dst = cvGetMat( dst, &dststub ));
-
- if( !CV_IS_MASK_ARR( src ) || CV_MAT_TYPE( dst->type ) != CV_32FC1 &&
- (CV_MAT_TYPE(dst->type) != CV_8UC1 || distType != CV_DIST_L1 || labels) )
- CV_ERROR( CV_StsUnsupportedFormat,
- "source image must be 8uC1 and the distance map must be 32fC1 "
- "(or 8uC1 in case of simple L1 distance transform)" );
-
- if( !CV_ARE_SIZES_EQ( src, dst ))
- CV_ERROR( CV_StsUnmatchedSizes, "the source and the destination images must be of the same size" );
-
- if( maskSize != CV_DIST_MASK_3 && maskSize != CV_DIST_MASK_5 && maskSize != CV_DIST_MASK_PRECISE )
- CV_ERROR( CV_StsBadSize, "Mask size should be 3 or 5 or 0 (presize)" );
-
- if( distType == CV_DIST_C || distType == CV_DIST_L1 )
- maskSize = !labels ? CV_DIST_MASK_3 : CV_DIST_MASK_5;
- else if( distType == CV_DIST_L2 && labels )
- maskSize = CV_DIST_MASK_5;
-
- if( maskSize == CV_DIST_MASK_PRECISE )
- {
- CV_CALL( icvTrueDistTrans( src, dst ));
- EXIT;
- }
-
- if( labels )
- {
- CV_CALL( labels = cvGetMat( labels, &lstub ));
- if( CV_MAT_TYPE( labels->type ) != CV_32SC1 )
- CV_ERROR( CV_StsUnsupportedFormat, "the output array of labels must be 32sC1" );
-
- if( !CV_ARE_SIZES_EQ( labels, dst ))
- CV_ERROR( CV_StsUnmatchedSizes, "the array of labels has a different size" );
-
- if( maskSize == CV_DIST_MASK_3 )
- CV_ERROR( CV_StsNotImplemented,
- "3x3 mask can not be used for \"labeled\" distance transform. Use 5x5 mask" );
- }
-
- if( distType == CV_DIST_C || distType == CV_DIST_L1 || distType == CV_DIST_L2 )
- {
- icvGetDistanceTransformMask( (distType == CV_DIST_C ? 0 :
- distType == CV_DIST_L1 ? 1 : 2) + maskSize*10, _mask );
- }
- else if( distType == CV_DIST_USER )
- {
- if( !mask )
- CV_ERROR( CV_StsNullPtr, "" );
-
- memcpy( _mask, mask, (maskSize/2 + 1)*sizeof(float));
- }
-
- if( !labels )
- {
- if( CV_MAT_TYPE(dst->type) == CV_32FC1 )
- ipp_func = (CvIPPDistTransFunc)(maskSize == CV_DIST_MASK_3 ?
- icvDistanceTransform_3x3_8u32f_C1R_p : icvDistanceTransform_5x5_8u32f_C1R_p);
- else if( src->data.ptr != dst->data.ptr )
- ipp_func = (CvIPPDistTransFunc)icvDistanceTransform_3x3_8u_C1R_p;
- else
- ipp_inp_func = icvDistanceTransform_3x3_8u_C1IR_p;
- }
-
- size = cvGetMatSize(src);
-
- if( (ipp_func || ipp_inp_func) && src->cols >= 4 && src->rows >= 2 )
- {
- _imask[0] = cvRound(_mask[0]);
- _imask[1] = cvRound(_mask[1]);
- _imask[2] = cvRound(_mask[2]);
-
- if( ipp_func )
- {
- IPPI_CALL( ipp_func( src->data.ptr, src->step,
- dst->data.fl, dst->step, size,
- CV_MAT_TYPE(dst->type) == CV_8UC1 ?
- (void*)_imask : (void*)_mask ));
- }
- else
- {
- IPPI_CALL( ipp_inp_func( src->data.ptr, src->step, size, _imask ));
- }
- }
- else if( CV_MAT_TYPE(dst->type) == CV_8UC1 )
- {
- CV_CALL( icvDistanceATS_L1_8u( src, dst ));
- }
- else
- {
- int border = maskSize == CV_DIST_MASK_3 ? 1 : 2;
- CV_CALL( temp = cvCreateMat( size.height + border*2, size.width + border*2, CV_32SC1 ));
-
- if( !labels )
- {
- CvDistTransFunc func = maskSize == CV_DIST_MASK_3 ?
- icvDistanceTransform_3x3_C1R :
- icvDistanceTransform_5x5_C1R;
-
- func( src->data.ptr, src->step, temp->data.i, temp->step,
- dst->data.fl, dst->step, size, _mask );
- }
- else
- {
- CvSeq *contours = 0;
- CvPoint top_left = {0,0}, bottom_right = {size.width-1,size.height-1};
- int label;
-
- CV_CALL( st = cvCreateMemStorage() );
- CV_CALL( src_copy = cvCreateMat( size.height, size.width, src->type ));
- cvCmpS( src, 0, src_copy, CV_CMP_EQ );
- cvFindContours( src_copy, st, &contours, sizeof(CvContour),
- CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );
- cvZero( labels );
- for( label = 1; contours != 0; contours = contours->h_next, label++ )
- {
- CvScalar area_color = cvScalarAll(label);
- cvDrawContours( labels, contours, area_color, area_color, -255, -1, 8 );
- }
-
- cvCopy( src, src_copy );
- cvRectangle( src_copy, top_left, bottom_right, cvScalarAll(255), 1, 8 );
-
- icvDistanceTransformEx_5x5_C1R( src_copy->data.ptr, src_copy->step, temp->data.i, temp->step,
- dst->data.fl, dst->step, labels->data.i, labels->step, size, _mask );
- }
- }
-
- __END__;
-
- cvReleaseMat( &temp );
- cvReleaseMat( &src_copy );
- cvReleaseMemStorage( &st );
-}
-
-/* End of file. */
projects / opencv / blobdiff