{
const int cn = 3;
const int MAX_LEVELS = 8;
- cv::Ptr<CvMat> src_pyramid[MAX_LEVELS+1];
- cv::Ptr<CvMat> dst_pyramid[MAX_LEVELS+1];
- cv::Ptr<CvMat> mask0;
+ cv::Mat src_pyramid[MAX_LEVELS+1];
+ cv::Mat dst_pyramid[MAX_LEVELS+1];
+ cv::Mat mask0;
int i, j, level;
//uchar* submask = 0;
double sr2 = sr * sr;
int isr2 = cvRound(sr2), isr22 = MAX(isr2,16);
int tab[768];
- CvMat sstub0, *src0;
- CvMat dstub0, *dst0;
+ cv::Mat src0 = cv::cvarrToMat(srcarr);
+ cv::Mat dst0 = cv::cvarrToMat(dstarr);
- src0 = cvGetMat( srcarr, &sstub0 );
- dst0 = cvGetMat( dstarr, &dstub0 );
-
- if( CV_MAT_TYPE(src0->type) != CV_8UC3 )
+ if( src0.type() != CV_8UC3 )
CV_Error( CV_StsUnsupportedFormat, "Only 8-bit, 3-channel images are supported" );
- if( !CV_ARE_TYPES_EQ( src0, dst0 ))
+ if( src0.type() != dst0.type() )
CV_Error( CV_StsUnmatchedFormats, "The input and output images must have the same type" );
- if( !CV_ARE_SIZES_EQ( src0, dst0 ))
+ if( src0.size() != dst0.size() )
CV_Error( CV_StsUnmatchedSizes, "The input and output images must have the same size" );
if( (unsigned)max_level > (unsigned)MAX_LEVELS )
dst_pyramid[0] = dst0;
for( level = 1; level <= max_level; level++ )
{
- src_pyramid[level] = cvCreateMat( (src_pyramid[level-1]->rows+1)/2,
- (src_pyramid[level-1]->cols+1)/2, src_pyramid[level-1]->type );
- dst_pyramid[level] = cvCreateMat( src_pyramid[level]->rows,
- src_pyramid[level]->cols, src_pyramid[level]->type );
- cvPyrDown( src_pyramid[level-1], src_pyramid[level] );
+ src_pyramid[level].create( (src_pyramid[level-1].rows+1)/2,
+ (src_pyramid[level-1].cols+1)/2, src_pyramid[level-1].type() );
+ dst_pyramid[level].create( src_pyramid[level].rows,
+ src_pyramid[level].cols, src_pyramid[level].type() );
+ cv::pyrDown( src_pyramid[level-1], src_pyramid[level] );
//CV_CALL( cvResize( src_pyramid[level-1], src_pyramid[level], CV_INTER_AREA ));
}
- mask0 = cvCreateMat( src0->rows, src0->cols, CV_8UC1 );
+ mask0.create(src0.rows, src0.cols, CV_8UC1);
//CV_CALL( submask = (uchar*)cvAlloc( (sp+2)*(sp+2) ));
// 2. apply meanshift, starting from the pyramid top (i.e. the smallest layer)
for( level = max_level; level >= 0; level-- )
{
- CvMat* src = src_pyramid[level];
- CvSize size = cvGetMatSize(src);
- uchar* sptr = src->data.ptr;
- int sstep = src->step;
+ cv::Mat src = src_pyramid[level];
+ cv::Size size = src.size();
+ uchar* sptr = src.data;
+ int sstep = src.step;
uchar* mask = 0;
int mstep = 0;
uchar* dptr;
if( level < max_level )
{
- CvSize size1 = cvGetMatSize(dst_pyramid[level+1]);
- CvMat m = cvMat( size.height, size.width, CV_8UC1, mask0->data.ptr );
- dstep = dst_pyramid[level+1]->step;
- dptr = dst_pyramid[level+1]->data.ptr + dstep + cn;
+ cv::Size size1 = dst_pyramid[level+1].size();
+ cv::Mat m( size.height, size.width, CV_8UC1, mask0.data );
+ dstep = dst_pyramid[level+1].step;
+ dptr = dst_pyramid[level+1].data + dstep + cn;
mstep = m.step;
- mask = m.data.ptr + mstep;
+ mask = m.data + mstep;
//cvResize( dst_pyramid[level+1], dst_pyramid[level], CV_INTER_CUBIC );
- cvPyrUp( dst_pyramid[level+1], dst_pyramid[level] );
- cvZero( &m );
+ cv::pyrUp( dst_pyramid[level+1], dst_pyramid[level] );
+ m.setTo(cv::Scalar::all(0));
for( i = 1; i < size1.height-1; i++, dptr += dstep - (size1.width-2)*3, mask += mstep*2 )
{
}
}
- cvDilate( &m, &m, 0, 1 );
- mask = m.data.ptr;
+ cv::dilate( m, m, cv::Mat() );
+ mask = m.data;
}
- dptr = dst_pyramid[level]->data.ptr;
- dstep = dst_pyramid[level]->step;
+ dptr = dst_pyramid[level].data;
+ dstep = dst_pyramid[level].step;
for( i = 0; i < size.height; i++, sptr += sstep - size.width*3,
dptr += dstep - size.width*3,