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opencv/modules/imgproc/src/morph.cpp

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/*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.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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 "precomp.hpp"
#include <limits.h>
#include <stdio.h>
/****************************************************************************************\
Basic Morphological Operations: Erosion & Dilation
\****************************************************************************************/
namespace cv
{
template<typename T> struct MinOp
{
typedef T type1;
typedef T type2;
typedef T rtype;
T operator ()(T a, T b) const { return std::min(a, b); }
};
template<typename T> struct MaxOp
{
typedef T type1;
typedef T type2;
typedef T rtype;
T operator ()(T a, T b) const { return std::max(a, b); }
};
#undef CV_MIN_8U
#undef CV_MAX_8U
#define CV_MIN_8U(a,b) ((a) - CV_FAST_CAST_8U((a) - (b)))
#define CV_MAX_8U(a,b) ((a) + CV_FAST_CAST_8U((b) - (a)))
template<> inline uchar MinOp<uchar>::operator ()(uchar a, uchar b) const { return CV_MIN_8U(a, b); }
template<> inline uchar MaxOp<uchar>::operator ()(uchar a, uchar b) const { return CV_MAX_8U(a, b); }
#if CV_SSE2
template<class VecUpdate> struct MorphRowIVec
{
enum { ESZ = VecUpdate::ESZ };
MorphRowIVec(int _ksize, int _anchor) : ksize(_ksize), anchor(_anchor) {}
int operator()(const uchar* src, uchar* dst, int width, int cn) const
{
if( !checkHardwareSupport(CV_CPU_SSE2) )
return 0;
cn *= ESZ;
int i, k, _ksize = ksize*cn;
width = (width & -4)*cn;
VecUpdate updateOp;
for( i = 0; i <= width - 16; i += 16 )
{
__m128i s = _mm_loadu_si128((const __m128i*)(src + i));
for( k = cn; k < _ksize; k += cn )
{
__m128i x = _mm_loadu_si128((const __m128i*)(src + i + k));
s = updateOp(s, x);
}
_mm_storeu_si128((__m128i*)(dst + i), s);
}
for( ; i < width; i += 4 )
{
__m128i s = _mm_cvtsi32_si128(*(const int*)(src + i));
for( k = cn; k < _ksize; k += cn )
{
__m128i x = _mm_cvtsi32_si128(*(const int*)(src + i + k));
s = updateOp(s, x);
}
*(int*)(dst + i) = _mm_cvtsi128_si32(s);
}
return i/ESZ;
}
int ksize, anchor;
};
template<class VecUpdate> struct MorphRowFVec
{
MorphRowFVec(int _ksize, int _anchor) : ksize(_ksize), anchor(_anchor) {}
int operator()(const uchar* src, uchar* dst, int width, int cn) const
{
if( !checkHardwareSupport(CV_CPU_SSE) )
return 0;
int i, k, _ksize = ksize*cn;
width = (width & -4)*cn;
VecUpdate updateOp;
for( i = 0; i < width; i += 4 )
{
__m128 s = _mm_loadu_ps((const float*)src + i);
for( k = cn; k < _ksize; k += cn )
{
__m128 x = _mm_loadu_ps((const float*)src + i + k);
s = updateOp(s, x);
}
_mm_storeu_ps((float*)dst + i, s);
}
return i;
}
int ksize, anchor;
};
template<class VecUpdate> struct MorphColumnIVec
{
enum { ESZ = VecUpdate::ESZ };
MorphColumnIVec(int _ksize, int _anchor) : ksize(_ksize), anchor(_anchor) {}
int operator()(const uchar** src, uchar* dst, int dststep, int count, int width) const
{
if( !checkHardwareSupport(CV_CPU_SSE2) )
return 0;
int i = 0, k, _ksize = ksize;
width *= ESZ;
VecUpdate updateOp;
for( i = 0; i < count + ksize - 1; i++ )
CV_Assert( ((size_t)src[i] & 15) == 0 );
for( ; _ksize > 1 && count > 1; count -= 2, dst += dststep*2, src += 2 )
{
for( i = 0; i <= width - 32; i += 32 )
{
const uchar* sptr = src[1] + i;
__m128i s0 = _mm_load_si128((const __m128i*)sptr);
__m128i s1 = _mm_load_si128((const __m128i*)(sptr + 16));
__m128i x0, x1;
for( k = 2; k < _ksize; k++ )
{
sptr = src[k] + i;
x0 = _mm_load_si128((const __m128i*)sptr);
x1 = _mm_load_si128((const __m128i*)(sptr + 16));
s0 = updateOp(s0, x0);
s1 = updateOp(s1, x1);
}
sptr = src[0] + i;
x0 = _mm_load_si128((const __m128i*)sptr);
x1 = _mm_load_si128((const __m128i*)(sptr + 16));
_mm_storeu_si128((__m128i*)(dst + i), updateOp(s0, x0));
_mm_storeu_si128((__m128i*)(dst + i + 16), updateOp(s1, x1));
sptr = src[k] + i;
x0 = _mm_load_si128((const __m128i*)sptr);
x1 = _mm_load_si128((const __m128i*)(sptr + 16));
_mm_storeu_si128((__m128i*)(dst + dststep + i), updateOp(s0, x0));
_mm_storeu_si128((__m128i*)(dst + dststep + i + 16), updateOp(s1, x1));
}
for( ; i <= width - 8; i += 8 )
{
__m128i s0 = _mm_loadl_epi64((const __m128i*)(src[1] + i)), x0;
for( k = 2; k < _ksize; k++ )
{
x0 = _mm_loadl_epi64((const __m128i*)(src[k] + i));
s0 = updateOp(s0, x0);
}
x0 = _mm_loadl_epi64((const __m128i*)(src[0] + i));
_mm_storel_epi64((__m128i*)(dst + i), updateOp(s0, x0));
x0 = _mm_loadl_epi64((const __m128i*)(src[k] + i));
_mm_storel_epi64((__m128i*)(dst + dststep + i), updateOp(s0, x0));
}
}
for( ; count > 0; count--, dst += dststep, src++ )
{
for( i = 0; i <= width - 32; i += 32 )
{
const uchar* sptr = src[0] + i;
__m128i s0 = _mm_load_si128((const __m128i*)sptr);
__m128i s1 = _mm_load_si128((const __m128i*)(sptr + 16));
__m128i x0, x1;
for( k = 1; k < _ksize; k++ )
{
sptr = src[k] + i;
x0 = _mm_load_si128((const __m128i*)sptr);
x1 = _mm_load_si128((const __m128i*)(sptr + 16));
s0 = updateOp(s0, x0);
s1 = updateOp(s1, x1);
}
_mm_storeu_si128((__m128i*)(dst + i), s0);
_mm_storeu_si128((__m128i*)(dst + i + 16), s1);
}
for( ; i <= width - 8; i += 8 )
{
__m128i s0 = _mm_loadl_epi64((const __m128i*)(src[0] + i)), x0;
for( k = 1; k < _ksize; k++ )
{
x0 = _mm_loadl_epi64((const __m128i*)(src[k] + i));
s0 = updateOp(s0, x0);
}
_mm_storel_epi64((__m128i*)(dst + i), s0);
}
}
return i/ESZ;
}
int ksize, anchor;
};
template<class VecUpdate> struct MorphColumnFVec
{
MorphColumnFVec(int _ksize, int _anchor) : ksize(_ksize), anchor(_anchor) {}
int operator()(const uchar** _src, uchar* _dst, int dststep, int count, int width) const
{
if( !checkHardwareSupport(CV_CPU_SSE) )
return 0;
int i = 0, k, _ksize = ksize;
VecUpdate updateOp;
for( i = 0; i < count + ksize - 1; i++ )
CV_Assert( ((size_t)_src[i] & 15) == 0 );
const float** src = (const float**)_src;
float* dst = (float*)_dst;
dststep /= sizeof(dst[0]);
for( ; _ksize > 1 && count > 1; count -= 2, dst += dststep*2, src += 2 )
{
for( i = 0; i <= width - 16; i += 16 )
{
const float* sptr = src[1] + i;
__m128 s0 = _mm_load_ps(sptr);
__m128 s1 = _mm_load_ps(sptr + 4);
__m128 s2 = _mm_load_ps(sptr + 8);
__m128 s3 = _mm_load_ps(sptr + 12);
__m128 x0, x1, x2, x3;
for( k = 2; k < _ksize; k++ )
{
sptr = src[k] + i;
x0 = _mm_load_ps(sptr);
x1 = _mm_load_ps(sptr + 4);
s0 = updateOp(s0, x0);
s1 = updateOp(s1, x1);
x2 = _mm_load_ps(sptr + 8);
x3 = _mm_load_ps(sptr + 12);
s2 = updateOp(s2, x2);
s3 = updateOp(s3, x3);
}
sptr = src[0] + i;
x0 = _mm_load_ps(sptr);
x1 = _mm_load_ps(sptr + 4);
x2 = _mm_load_ps(sptr + 8);
x3 = _mm_load_ps(sptr + 12);
_mm_storeu_ps(dst + i, updateOp(s0, x0));
_mm_storeu_ps(dst + i + 4, updateOp(s1, x1));
_mm_storeu_ps(dst + i + 8, updateOp(s2, x2));
_mm_storeu_ps(dst + i + 12, updateOp(s3, x3));
sptr = src[k] + i;
x0 = _mm_load_ps(sptr);
x1 = _mm_load_ps(sptr + 4);
x2 = _mm_load_ps(sptr + 8);
x3 = _mm_load_ps(sptr + 12);
_mm_storeu_ps(dst + dststep + i, updateOp(s0, x0));
_mm_storeu_ps(dst + dststep + i + 4, updateOp(s1, x1));
_mm_storeu_ps(dst + dststep + i + 8, updateOp(s2, x2));
_mm_storeu_ps(dst + dststep + i + 12, updateOp(s3, x3));
}
for( ; i <= width - 4; i += 4 )
{
__m128 s0 = _mm_load_ps(src[1] + i), x0;
for( k = 2; k < _ksize; k++ )
{
x0 = _mm_load_ps(src[k] + i);
s0 = updateOp(s0, x0);
}
x0 = _mm_load_ps(src[0] + i);
_mm_storeu_ps(dst + i, updateOp(s0, x0));
x0 = _mm_load_ps(src[k] + i);
_mm_storeu_ps(dst + dststep + i, updateOp(s0, x0));
}
}
for( ; count > 0; count--, dst += dststep, src++ )
{
for( i = 0; i <= width - 16; i += 16 )
{
const float* sptr = src[0] + i;
__m128 s0 = _mm_load_ps(sptr);
__m128 s1 = _mm_load_ps(sptr + 4);
__m128 s2 = _mm_load_ps(sptr + 8);
__m128 s3 = _mm_load_ps(sptr + 12);
__m128 x0, x1, x2, x3;
for( k = 1; k < _ksize; k++ )
{
sptr = src[k] + i;
x0 = _mm_load_ps(sptr);
x1 = _mm_load_ps(sptr + 4);
s0 = updateOp(s0, x0);
s1 = updateOp(s1, x1);
x2 = _mm_load_ps(sptr + 8);
x3 = _mm_load_ps(sptr + 12);
s2 = updateOp(s2, x2);
s3 = updateOp(s3, x3);
}
_mm_storeu_ps(dst + i, s0);
_mm_storeu_ps(dst + i + 4, s1);
_mm_storeu_ps(dst + i + 8, s2);
_mm_storeu_ps(dst + i + 12, s3);
}
for( i = 0; i <= width - 4; i += 4 )
{
__m128 s0 = _mm_load_ps(src[0] + i), x0;
for( k = 1; k < _ksize; k++ )
{
x0 = _mm_load_ps(src[k] + i);
s0 = updateOp(s0, x0);
}
_mm_storeu_ps(dst + i, s0);
}
}
return i;
}
int ksize, anchor;
};
template<class VecUpdate> struct MorphIVec
{
enum { ESZ = VecUpdate::ESZ };
int operator()(uchar** src, int nz, uchar* dst, int width) const
{
if( !checkHardwareSupport(CV_CPU_SSE2) )
return 0;
int i, k;
width *= ESZ;
VecUpdate updateOp;
for( i = 0; i <= width - 32; i += 32 )
{
const uchar* sptr = src[0] + i;
__m128i s0 = _mm_loadu_si128((const __m128i*)sptr);
__m128i s1 = _mm_loadu_si128((const __m128i*)(sptr + 16));
__m128i x0, x1;
for( k = 1; k < nz; k++ )
{
sptr = src[k] + i;
x0 = _mm_loadu_si128((const __m128i*)sptr);
x1 = _mm_loadu_si128((const __m128i*)(sptr + 16));
s0 = updateOp(s0, x0);
s1 = updateOp(s1, x1);
}
_mm_storeu_si128((__m128i*)(dst + i), s0);
_mm_storeu_si128((__m128i*)(dst + i + 16), s1);
}
for( ; i <= width - 8; i += 8 )
{
__m128i s0 = _mm_loadl_epi64((const __m128i*)(src[0] + i)), x0;
for( k = 1; k < nz; k++ )
{
x0 = _mm_loadl_epi64((const __m128i*)(src[k] + i));
s0 = updateOp(s0, x0);
}
_mm_storel_epi64((__m128i*)(dst + i), s0);
}
return i/ESZ;
}
};
template<class VecUpdate> struct MorphFVec
{
int operator()(uchar** _src, int nz, uchar* _dst, int width) const
{
if( !checkHardwareSupport(CV_CPU_SSE) )
return 0;
const float** src = (const float**)_src;
float* dst = (float*)_dst;
int i, k;
VecUpdate updateOp;
for( i = 0; i <= width - 16; i += 16 )
{
const float* sptr = src[0] + i;
__m128 s0 = _mm_loadu_ps(sptr);
__m128 s1 = _mm_loadu_ps(sptr + 4);
__m128 s2 = _mm_loadu_ps(sptr + 8);
__m128 s3 = _mm_loadu_ps(sptr + 12);
__m128 x0, x1, x2, x3;
for( k = 1; k < nz; k++ )
{
sptr = src[k] + i;
x0 = _mm_loadu_ps(sptr);
x1 = _mm_loadu_ps(sptr + 4);
x2 = _mm_loadu_ps(sptr + 8);
x3 = _mm_loadu_ps(sptr + 12);
s0 = updateOp(s0, x0);
s1 = updateOp(s1, x1);
s2 = updateOp(s2, x2);
s3 = updateOp(s3, x3);
}
_mm_storeu_ps(dst + i, s0);
_mm_storeu_ps(dst + i + 4, s1);
_mm_storeu_ps(dst + i + 8, s2);
_mm_storeu_ps(dst + i + 12, s3);
}
for( ; i <= width - 4; i += 4 )
{
__m128 s0 = _mm_loadu_ps(src[0] + i), x0;
for( k = 1; k < nz; k++ )
{
x0 = _mm_loadu_ps(src[k] + i);
s0 = updateOp(s0, x0);
}
_mm_storeu_ps(dst + i, s0);
}
for( ; i < width; i++ )
{
__m128 s0 = _mm_load_ss(src[0] + i), x0;
for( k = 1; k < nz; k++ )
{
x0 = _mm_load_ss(src[k] + i);
s0 = updateOp(s0, x0);
}
_mm_store_ss(dst + i, s0);
}
return i;
}
};
struct VMin8u
{
enum { ESZ = 1 };
__m128i operator()(const __m128i& a, const __m128i& b) const { return _mm_min_epu8(a,b); }
};
struct VMax8u
{
enum { ESZ = 1 };
__m128i operator()(const __m128i& a, const __m128i& b) const { return _mm_max_epu8(a,b); }
};
struct VMin16u
{
enum { ESZ = 2 };
__m128i operator()(const __m128i& a, const __m128i& b) const
{ return _mm_subs_epu16(a,_mm_subs_epu16(a,b)); }
};
struct VMax16u
{
enum { ESZ = 2 };
__m128i operator()(const __m128i& a, const __m128i& b) const
{ return _mm_adds_epu16(_mm_subs_epu16(a,b), b); }
};
struct VMin16s
{
enum { ESZ = 2 };
__m128i operator()(const __m128i& a, const __m128i& b) const
{ return _mm_min_epi16(a, b); }
};
struct VMax16s
{
enum { ESZ = 2 };
__m128i operator()(const __m128i& a, const __m128i& b) const
{ return _mm_max_epi16(a, b); }
};
struct VMin32f { __m128 operator()(const __m128& a, const __m128& b) const { return _mm_min_ps(a,b); }};
struct VMax32f { __m128 operator()(const __m128& a, const __m128& b) const { return _mm_max_ps(a,b); }};
typedef MorphRowIVec<VMin8u> ErodeRowVec8u;
typedef MorphRowIVec<VMax8u> DilateRowVec8u;
typedef MorphRowIVec<VMin16u> ErodeRowVec16u;
typedef MorphRowIVec<VMax16u> DilateRowVec16u;
typedef MorphRowIVec<VMin16s> ErodeRowVec16s;
typedef MorphRowIVec<VMax16s> DilateRowVec16s;
typedef MorphRowFVec<VMin32f> ErodeRowVec32f;
typedef MorphRowFVec<VMax32f> DilateRowVec32f;
typedef MorphColumnIVec<VMin8u> ErodeColumnVec8u;
typedef MorphColumnIVec<VMax8u> DilateColumnVec8u;
typedef MorphColumnIVec<VMin16u> ErodeColumnVec16u;
typedef MorphColumnIVec<VMax16u> DilateColumnVec16u;
typedef MorphColumnIVec<VMin16s> ErodeColumnVec16s;
typedef MorphColumnIVec<VMax16s> DilateColumnVec16s;
typedef MorphColumnFVec<VMin32f> ErodeColumnVec32f;
typedef MorphColumnFVec<VMax32f> DilateColumnVec32f;
typedef MorphIVec<VMin8u> ErodeVec8u;
typedef MorphIVec<VMax8u> DilateVec8u;
typedef MorphIVec<VMin16u> ErodeVec16u;
typedef MorphIVec<VMax16u> DilateVec16u;
typedef MorphIVec<VMin16s> ErodeVec16s;
typedef MorphIVec<VMax16s> DilateVec16s;
typedef MorphFVec<VMin32f> ErodeVec32f;
typedef MorphFVec<VMax32f> DilateVec32f;
#else
struct MorphRowNoVec
{
MorphRowNoVec(int, int) {}
int operator()(const uchar*, uchar*, int, int) const { return 0; }
};
struct MorphColumnNoVec
{
MorphColumnNoVec(int, int) {}
int operator()(const uchar**, uchar*, int, int, int) const { return 0; }
};
struct MorphNoVec
{
int operator()(uchar**, int, uchar*, int) const { return 0; }
};
#ifdef HAVE_TEGRA_OPTIMIZATION
using tegra::ErodeRowVec8u;
using tegra::DilateRowVec8u;
using tegra::ErodeColumnVec8u;
using tegra::DilateColumnVec8u;
#else
typedef MorphRowNoVec ErodeRowVec8u;
typedef MorphRowNoVec DilateRowVec8u;
typedef MorphColumnNoVec ErodeColumnVec8u;
typedef MorphColumnNoVec DilateColumnVec8u;
#endif
typedef MorphRowNoVec ErodeRowVec16u;
typedef MorphRowNoVec DilateRowVec16u;
typedef MorphRowNoVec ErodeRowVec16s;
typedef MorphRowNoVec DilateRowVec16s;
typedef MorphRowNoVec ErodeRowVec32f;
typedef MorphRowNoVec DilateRowVec32f;
typedef MorphColumnNoVec ErodeColumnVec16u;
typedef MorphColumnNoVec DilateColumnVec16u;
typedef MorphColumnNoVec ErodeColumnVec16s;
typedef MorphColumnNoVec DilateColumnVec16s;
typedef MorphColumnNoVec ErodeColumnVec32f;
typedef MorphColumnNoVec DilateColumnVec32f;
typedef MorphNoVec ErodeVec8u;
typedef MorphNoVec DilateVec8u;
typedef MorphNoVec ErodeVec16u;
typedef MorphNoVec DilateVec16u;
typedef MorphNoVec ErodeVec16s;
typedef MorphNoVec DilateVec16s;
typedef MorphNoVec ErodeVec32f;
typedef MorphNoVec DilateVec32f;
#endif
template<class Op, class VecOp> struct MorphRowFilter : public BaseRowFilter
{
typedef typename Op::rtype T;
MorphRowFilter( int _ksize, int _anchor ) : vecOp(_ksize, _anchor)
{
ksize = _ksize;
anchor = _anchor;
}
void operator()(const uchar* src, uchar* dst, int width, int cn)
{
int i, j, k, _ksize = ksize*cn;
const T* S = (const T*)src;
Op op;
T* D = (T*)dst;
if( _ksize == cn )
{
for( i = 0; i < width*cn; i++ )
D[i] = S[i];
return;
}
int i0 = vecOp(src, dst, width, cn);
width *= cn;
for( k = 0; k < cn; k++, S++, D++ )
{
for( i = i0; i <= width - cn*2; i += cn*2 )
{
const T* s = S + i;
T m = s[cn];
for( j = cn*2; j < _ksize; j += cn )
m = op(m, s[j]);
D[i] = op(m, s[0]);
D[i+cn] = op(m, s[j]);
}
for( ; i < width; i += cn )
{
const T* s = S + i;
T m = s[0];
for( j = cn; j < _ksize; j += cn )
m = op(m, s[j]);
D[i] = m;
}
}
}
VecOp vecOp;
};
template<class Op, class VecOp> struct MorphColumnFilter : public BaseColumnFilter
{
typedef typename Op::rtype T;
MorphColumnFilter( int _ksize, int _anchor ) : vecOp(_ksize, _anchor)
{
ksize = _ksize;
anchor = _anchor;
}
void operator()(const uchar** _src, uchar* dst, int dststep, int count, int width)
{
int i, k, _ksize = ksize;
const T** src = (const T**)_src;
T* D = (T*)dst;
Op op;
int i0 = vecOp(_src, dst, dststep, count, width);
dststep /= sizeof(D[0]);
for( ; _ksize > 1 && count > 1; count -= 2, D += dststep*2, src += 2 )
{
i = i0;
#if CV_ENABLE_UNROLLED
for( ; i <= width - 4; i += 4 )
{
const T* sptr = src[1] + i;
T s0 = sptr[0], s1 = sptr[1], s2 = sptr[2], s3 = sptr[3];
for( k = 2; k < _ksize; k++ )
{
sptr = src[k] + i;
s0 = op(s0, sptr[0]); s1 = op(s1, sptr[1]);
s2 = op(s2, sptr[2]); s3 = op(s3, sptr[3]);
}
sptr = src[0] + i;
D[i] = op(s0, sptr[0]);
D[i+1] = op(s1, sptr[1]);
D[i+2] = op(s2, sptr[2]);
D[i+3] = op(s3, sptr[3]);
sptr = src[k] + i;
D[i+dststep] = op(s0, sptr[0]);
D[i+dststep+1] = op(s1, sptr[1]);
D[i+dststep+2] = op(s2, sptr[2]);
D[i+dststep+3] = op(s3, sptr[3]);
}
#endif
for( ; i < width; i++ )
{
T s0 = src[1][i];
for( k = 2; k < _ksize; k++ )
s0 = op(s0, src[k][i]);
D[i] = op(s0, src[0][i]);
D[i+dststep] = op(s0, src[k][i]);
}
}
for( ; count > 0; count--, D += dststep, src++ )
{
i = i0;
#if CV_ENABLE_UNROLLED
for( ; i <= width - 4; i += 4 )
{
const T* sptr = src[0] + i;
T s0 = sptr[0], s1 = sptr[1], s2 = sptr[2], s3 = sptr[3];
for( k = 1; k < _ksize; k++ )
{
sptr = src[k] + i;
s0 = op(s0, sptr[0]); s1 = op(s1, sptr[1]);
s2 = op(s2, sptr[2]); s3 = op(s3, sptr[3]);
}
D[i] = s0; D[i+1] = s1;
D[i+2] = s2; D[i+3] = s3;
}
#endif
for( ; i < width; i++ )
{
T s0 = src[0][i];
for( k = 1; k < _ksize; k++ )
s0 = op(s0, src[k][i]);
D[i] = s0;
}
}
}
VecOp vecOp;
};
template<class Op, class VecOp> struct MorphFilter : BaseFilter
{
typedef typename Op::rtype T;
MorphFilter( const Mat& _kernel, Point _anchor )
{
anchor = _anchor;
ksize = _kernel.size();
CV_Assert( _kernel.type() == CV_8U );
vector<uchar> coeffs; // we do not really the values of non-zero
// kernel elements, just their locations
preprocess2DKernel( _kernel, coords, coeffs );
ptrs.resize( coords.size() );
}
void operator()(const uchar** src, uchar* dst, int dststep, int count, int width, int cn)
{
const Point* pt = &coords[0];
const T** kp = (const T**)&ptrs[0];
int i, k, nz = (int)coords.size();
Op op;
width *= cn;
for( ; count > 0; count--, dst += dststep, src++ )
{
T* D = (T*)dst;
for( k = 0; k < nz; k++ )
kp[k] = (const T*)src[pt[k].y] + pt[k].x*cn;
i = vecOp(&ptrs[0], nz, dst, width);
#if CV_ENABLE_UNROLLED
for( ; i <= width - 4; i += 4 )
{
const T* sptr = kp[0] + i;
T s0 = sptr[0], s1 = sptr[1], s2 = sptr[2], s3 = sptr[3];
for( k = 1; k < nz; k++ )
{
sptr = kp[k] + i;
s0 = op(s0, sptr[0]); s1 = op(s1, sptr[1]);
s2 = op(s2, sptr[2]); s3 = op(s3, sptr[3]);
}
D[i] = s0; D[i+1] = s1;
D[i+2] = s2; D[i+3] = s3;
}
#endif
for( ; i < width; i++ )
{
T s0 = kp[0][i];
for( k = 1; k < nz; k++ )
s0 = op(s0, kp[k][i]);
D[i] = s0;
}
}
}
vector<Point> coords;
vector<uchar*> ptrs;
VecOp vecOp;
};
}
/////////////////////////////////// External Interface /////////////////////////////////////
cv::Ptr<cv::BaseRowFilter> cv::getMorphologyRowFilter(int op, int type, int ksize, int anchor)
{
int depth = CV_MAT_DEPTH(type);
if( anchor < 0 )
anchor = ksize/2;
CV_Assert( op == MORPH_ERODE || op == MORPH_DILATE );
if( op == MORPH_ERODE )
{
if( depth == CV_8U )
return Ptr<BaseRowFilter>(new MorphRowFilter<MinOp<uchar>,
ErodeRowVec8u>(ksize, anchor));
if( depth == CV_16U )
return Ptr<BaseRowFilter>(new MorphRowFilter<MinOp<ushort>,
ErodeRowVec16u>(ksize, anchor));
if( depth == CV_16S )
return Ptr<BaseRowFilter>(new MorphRowFilter<MinOp<short>,
ErodeRowVec16s>(ksize, anchor));
if( depth == CV_32F )
return Ptr<BaseRowFilter>(new MorphRowFilter<MinOp<float>,
ErodeRowVec32f>(ksize, anchor));
}
else
{
if( depth == CV_8U )
return Ptr<BaseRowFilter>(new MorphRowFilter<MaxOp<uchar>,
DilateRowVec8u>(ksize, anchor));
if( depth == CV_16U )
return Ptr<BaseRowFilter>(new MorphRowFilter<MaxOp<ushort>,
DilateRowVec16u>(ksize, anchor));
if( depth == CV_16S )
return Ptr<BaseRowFilter>(new MorphRowFilter<MaxOp<short>,
DilateRowVec16s>(ksize, anchor));
if( depth == CV_32F )
return Ptr<BaseRowFilter>(new MorphRowFilter<MaxOp<float>,
DilateRowVec32f>(ksize, anchor));
}
CV_Error_( CV_StsNotImplemented, ("Unsupported data type (=%d)", type));
return Ptr<BaseRowFilter>(0);
}
cv::Ptr<cv::BaseColumnFilter> cv::getMorphologyColumnFilter(int op, int type, int ksize, int anchor)
{
int depth = CV_MAT_DEPTH(type);
if( anchor < 0 )
anchor = ksize/2;
CV_Assert( op == MORPH_ERODE || op == MORPH_DILATE );
if( op == MORPH_ERODE )
{
if( depth == CV_8U )
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MinOp<uchar>,
ErodeColumnVec8u>(ksize, anchor));
if( depth == CV_16U )
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MinOp<ushort>,
ErodeColumnVec16u>(ksize, anchor));
if( depth == CV_16S )
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MinOp<short>,
ErodeColumnVec16s>(ksize, anchor));
if( depth == CV_32F )
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MinOp<float>,
ErodeColumnVec32f>(ksize, anchor));
}
else
{
if( depth == CV_8U )
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MaxOp<uchar>,
DilateColumnVec8u>(ksize, anchor));
if( depth == CV_16U )
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MaxOp<ushort>,
DilateColumnVec16u>(ksize, anchor));
if( depth == CV_16S )
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MaxOp<short>,
DilateColumnVec16s>(ksize, anchor));
if( depth == CV_32F )
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MaxOp<float>,
DilateColumnVec32f>(ksize, anchor));
}
CV_Error_( CV_StsNotImplemented, ("Unsupported data type (=%d)", type));
return Ptr<BaseColumnFilter>(0);
}
cv::Ptr<cv::BaseFilter> cv::getMorphologyFilter(int op, int type, InputArray _kernel, Point anchor)
{
Mat kernel = _kernel.getMat();
int depth = CV_MAT_DEPTH(type);
anchor = normalizeAnchor(anchor, kernel.size());
CV_Assert( op == MORPH_ERODE || op == MORPH_DILATE );
if( op == MORPH_ERODE )
{
if( depth == CV_8U )
return Ptr<BaseFilter>(new MorphFilter<MinOp<uchar>, ErodeVec8u>(kernel, anchor));
if( depth == CV_16U )
return Ptr<BaseFilter>(new MorphFilter<MinOp<ushort>, ErodeVec16u>(kernel, anchor));
if( depth == CV_16S )
return Ptr<BaseFilter>(new MorphFilter<MinOp<short>, ErodeVec16s>(kernel, anchor));
if( depth == CV_32F )
return Ptr<BaseFilter>(new MorphFilter<MinOp<float>, ErodeVec32f>(kernel, anchor));
}
else
{
if( depth == CV_8U )
return Ptr<BaseFilter>(new MorphFilter<MaxOp<uchar>, DilateVec8u>(kernel, anchor));
if( depth == CV_16U )
return Ptr<BaseFilter>(new MorphFilter<MaxOp<ushort>, DilateVec16u>(kernel, anchor));
if( depth == CV_16S )
return Ptr<BaseFilter>(new MorphFilter<MaxOp<short>, DilateVec16s>(kernel, anchor));
if( depth == CV_32F )
return Ptr<BaseFilter>(new MorphFilter<MaxOp<float>, DilateVec32f>(kernel, anchor));
}
CV_Error_( CV_StsNotImplemented, ("Unsupported data type (=%d)", type));
return Ptr<BaseFilter>(0);
}
cv::Ptr<cv::FilterEngine> cv::createMorphologyFilter( int op, int type, InputArray _kernel,
Point anchor, int _rowBorderType, int _columnBorderType,
const Scalar& _borderValue )
{
Mat kernel = _kernel.getMat();
anchor = normalizeAnchor(anchor, kernel.size());
Ptr<BaseRowFilter> rowFilter;
Ptr<BaseColumnFilter> columnFilter;
Ptr<BaseFilter> filter2D;
if( countNonZero(kernel) == kernel.rows*kernel.cols )
{
// rectangular structuring element
rowFilter = getMorphologyRowFilter(op, type, kernel.cols, anchor.x);
columnFilter = getMorphologyColumnFilter(op, type, kernel.rows, anchor.y);
}
else
filter2D = getMorphologyFilter(op, type, kernel, anchor);
Scalar borderValue = _borderValue;
if( (_rowBorderType == BORDER_CONSTANT || _columnBorderType == BORDER_CONSTANT) &&
borderValue == morphologyDefaultBorderValue() )
{
int depth = CV_MAT_DEPTH(type);
CV_Assert( depth == CV_8U || depth == CV_16U || depth == CV_32F );
if( op == MORPH_ERODE )
borderValue = Scalar::all( depth == CV_8U ? (double)UCHAR_MAX :
depth == CV_16U ? (double)USHRT_MAX : (double)FLT_MAX );
else
borderValue = Scalar::all( depth == CV_8U || depth == CV_16U ?
0. : (double)-FLT_MAX );
}
return Ptr<FilterEngine>(new FilterEngine(filter2D, rowFilter, columnFilter,
type, type, type, _rowBorderType, _columnBorderType, borderValue ));
}
cv::Mat cv::getStructuringElement(int shape, Size ksize, Point anchor)
{
int i, j;
int r = 0, c = 0;
double inv_r2 = 0;
CV_Assert( shape == MORPH_RECT || shape == MORPH_CROSS || shape == MORPH_ELLIPSE );
anchor = normalizeAnchor(anchor, ksize);
if( ksize == Size(1,1) )
shape = MORPH_RECT;
if( shape == MORPH_ELLIPSE )
{
r = ksize.height/2;
c = ksize.width/2;
inv_r2 = r ? 1./((double)r*r) : 0;
}
Mat elem(ksize, CV_8U);
for( i = 0; i < ksize.height; i++ )
{
uchar* ptr = elem.data + i*elem.step;
int j1 = 0, j2 = 0;
if( shape == MORPH_RECT || (shape == MORPH_CROSS && i == anchor.y) )
j2 = ksize.width;
else if( shape == MORPH_CROSS )
j1 = anchor.x, j2 = j1 + 1;
else
{
int dy = i - r;
if( std::abs(dy) <= r )
{
int dx = saturate_cast<int>(c*std::sqrt((r*r - dy*dy)*inv_r2));
j1 = std::max( c - dx, 0 );
j2 = std::min( c + dx + 1, ksize.width );
}
}
for( j = 0; j < j1; j++ )
ptr[j] = 0;
for( ; j < j2; j++ )
ptr[j] = 1;
for( ; j < ksize.width; j++ )
ptr[j] = 0;
}
return elem;
}
namespace cv
{
class MorphologyRunner
{
public:
MorphologyRunner(Mat _src, Mat _dst, int _nStripes, int _iterations,
int _op, Mat _kernel, Point _anchor,
int _rowBorderType, int _columnBorderType, const Scalar& _borderValue) :
borderValue(_borderValue)
{
src = _src;
dst = _dst;
nStripes = _nStripes;
iterations = _iterations;
op = _op;
kernel = _kernel;
anchor = _anchor;
rowBorderType = _rowBorderType;
columnBorderType = _columnBorderType;
}
void operator () ( const BlockedRange& range ) const
{
int row0 = min(cvRound(range.begin() * src.rows / nStripes), src.rows);
int row1 = min(cvRound(range.end() * src.rows / nStripes), src.rows);
/*if(0)
printf("Size = (%d, %d), range[%d,%d), row0 = %d, row1 = %d\n",
src.rows, src.cols, range.begin(), range.end(), row0, row1);*/
Mat srcStripe = src.rowRange(row0, row1);
Mat dstStripe = dst.rowRange(row0, row1);
Ptr<FilterEngine> f = createMorphologyFilter(op, src.type(), kernel, anchor,
rowBorderType, columnBorderType, borderValue );
f->apply( srcStripe, dstStripe );
for( int i = 1; i < iterations; i++ )
f->apply( dstStripe, dstStripe );
}
private:
Mat src;
Mat dst;
int nStripes;
int iterations;
int op;
Mat kernel;
Point anchor;
int rowBorderType;
int columnBorderType;
Scalar borderValue;
};
static void morphOp( int op, InputArray _src, OutputArray _dst,
InputArray _kernel,
Point anchor, int iterations,
int borderType, const Scalar& borderValue )
{
Mat src = _src.getMat(), kernel = _kernel.getMat();
Size ksize = kernel.data ? kernel.size() : Size(3,3);
anchor = normalizeAnchor(anchor, ksize);
CV_Assert( anchor.inside(Rect(0, 0, ksize.width, ksize.height)) );
_dst.create( src.size(), src.type() );
Mat dst = _dst.getMat();
if( iterations == 0 || kernel.rows*kernel.cols == 1 )
{
src.copyTo(dst);
return;
}
if( !kernel.data )
{
kernel = getStructuringElement(MORPH_RECT, Size(1+iterations*2,1+iterations*2));
anchor = Point(iterations, iterations);
iterations = 1;
}
else if( iterations > 1 && countNonZero(kernel) == kernel.rows*kernel.cols )
{
anchor = Point(anchor.x*iterations, anchor.y*iterations);
kernel = getStructuringElement(MORPH_RECT,
Size(ksize.width + iterations*(ksize.width-1),
ksize.height + iterations*(ksize.height-1)),
anchor);
iterations = 1;
}
int nStripes = 1;
#if defined HAVE_TBB && defined HAVE_TEGRA_OPTIMIZATION
if (src.data != dst.data && iterations == 1 && //NOTE: threads are not used for inplace processing
(borderType & BORDER_ISOLATED) == 0 && //TODO: check border types
src.rows >= 64 ) //NOTE: just heuristics
nStripes = 4;
#endif
parallel_for(BlockedRange(0, nStripes),
MorphologyRunner(src, dst, nStripes, iterations, op, kernel, anchor, borderType, borderType, borderValue));
//Ptr<FilterEngine> f = createMorphologyFilter(op, src.type(),
// kernel, anchor, borderType, borderType, borderValue );
//f->apply( src, dst );
//for( int i = 1; i < iterations; i++ )
// f->apply( dst, dst );
}
template<> void Ptr<IplConvKernel>::delete_obj()
{ cvReleaseStructuringElement(&obj); }
}
void cv::erode( InputArray src, OutputArray dst, InputArray kernel,
Point anchor, int iterations,
int borderType, const Scalar& borderValue )
{
morphOp( MORPH_ERODE, src, dst, kernel, anchor, iterations, borderType, borderValue );
}
void cv::dilate( InputArray src, OutputArray dst, InputArray kernel,
Point anchor, int iterations,
int borderType, const Scalar& borderValue )
{
morphOp( MORPH_DILATE, src, dst, kernel, anchor, iterations, borderType, borderValue );
}
void cv::morphologyEx( InputArray _src, OutputArray _dst, int op,
InputArray kernel, Point anchor, int iterations,
int borderType, const Scalar& borderValue )
{
Mat src = _src.getMat(), temp;
_dst.create(src.size(), src.type());
Mat dst = _dst.getMat();
switch( op )
{
case MORPH_ERODE:
erode( src, dst, kernel, anchor, iterations, borderType, borderValue );
break;
case MORPH_DILATE:
dilate( src, dst, kernel, anchor, iterations, borderType, borderValue );
break;
case MORPH_OPEN:
erode( src, dst, kernel, anchor, iterations, borderType, borderValue );
dilate( dst, dst, kernel, anchor, iterations, borderType, borderValue );
break;
case CV_MOP_CLOSE:
dilate( src, dst, kernel, anchor, iterations, borderType, borderValue );
erode( dst, dst, kernel, anchor, iterations, borderType, borderValue );
break;
case CV_MOP_GRADIENT:
erode( src, temp, kernel, anchor, iterations, borderType, borderValue );
dilate( src, dst, kernel, anchor, iterations, borderType, borderValue );
dst -= temp;
break;
case CV_MOP_TOPHAT:
if( src.data != dst.data )
temp = dst;
erode( src, temp, kernel, anchor, iterations, borderType, borderValue );
dilate( temp, temp, kernel, anchor, iterations, borderType, borderValue );
dst = src - temp;
break;
case CV_MOP_BLACKHAT:
if( src.data != dst.data )
temp = dst;
dilate( src, temp, kernel, anchor, iterations, borderType, borderValue );
erode( temp, temp, kernel, anchor, iterations, borderType, borderValue );
dst = temp - src;
break;
default:
CV_Error( CV_StsBadArg, "unknown morphological operation" );
}
}
CV_IMPL IplConvKernel *
cvCreateStructuringElementEx( int cols, int rows,
int anchorX, int anchorY,
int shape, int *values )
{
cv::Size ksize = cv::Size(cols, rows);
cv::Point anchor = cv::Point(anchorX, anchorY);
CV_Assert( cols > 0 && rows > 0 && anchor.inside(cv::Rect(0,0,cols,rows)) &&
(shape != CV_SHAPE_CUSTOM || values != 0));
int i, size = rows * cols;
int element_size = sizeof(IplConvKernel) + size*sizeof(int);
IplConvKernel *element = (IplConvKernel*)cvAlloc(element_size + 32);
element->nCols = cols;
element->nRows = rows;
element->anchorX = anchorX;
element->anchorY = anchorY;
element->nShiftR = shape < CV_SHAPE_ELLIPSE ? shape : CV_SHAPE_CUSTOM;
element->values = (int*)(element + 1);
if( shape == CV_SHAPE_CUSTOM )
{
for( i = 0; i < size; i++ )
element->values[i] = values[i];
}
else
{
cv::Mat elem = cv::getStructuringElement(shape, ksize, anchor);
for( i = 0; i < size; i++ )
element->values[i] = elem.data[i];
}
return element;
}
CV_IMPL void
cvReleaseStructuringElement( IplConvKernel ** element )
{
if( !element )
CV_Error( CV_StsNullPtr, "" );
cvFree( element );
}
static void convertConvKernel( const IplConvKernel* src, cv::Mat& dst, cv::Point& anchor )
{
if(!src)
{
anchor = cv::Point(1,1);
dst.release();
return;
}
anchor = cv::Point(src->anchorX, src->anchorY);
dst.create(src->nRows, src->nCols, CV_8U);
int i, size = src->nRows*src->nCols;
for( i = 0; i < size; i++ )
dst.data[i] = (uchar)src->values[i];
}
CV_IMPL void
cvErode( const CvArr* srcarr, CvArr* dstarr, IplConvKernel* element, int iterations )
{
cv::Mat src = cv::cvarrToMat(srcarr), dst = cv::cvarrToMat(dstarr), kernel;
CV_Assert( src.size() == dst.size() && src.type() == dst.type() );
cv::Point anchor;
convertConvKernel( element, kernel, anchor );
cv::erode( src, dst, kernel, anchor, iterations, cv::BORDER_REPLICATE );
}
CV_IMPL void
cvDilate( const CvArr* srcarr, CvArr* dstarr, IplConvKernel* element, int iterations )
{
cv::Mat src = cv::cvarrToMat(srcarr), dst = cv::cvarrToMat(dstarr), kernel;
CV_Assert( src.size() == dst.size() && src.type() == dst.type() );
cv::Point anchor;
convertConvKernel( element, kernel, anchor );
cv::dilate( src, dst, kernel, anchor, iterations, cv::BORDER_REPLICATE );
}
CV_IMPL void
cvMorphologyEx( const void* srcarr, void* dstarr, void*,
IplConvKernel* element, int op, int iterations )
{
cv::Mat src = cv::cvarrToMat(srcarr), dst = cv::cvarrToMat(dstarr), kernel;
CV_Assert( src.size() == dst.size() && src.type() == dst.type() );
cv::Point anchor;
IplConvKernel* temp_element = NULL;
if (!element)
{
temp_element = cvCreateStructuringElementEx(3, 3, 1, 1, CV_SHAPE_RECT);
} else {
temp_element = element;
}
convertConvKernel( temp_element, kernel, anchor );
if (!element)
{
cvReleaseStructuringElement(&temp_element);
}
cv::morphologyEx( src, dst, op, kernel, anchor, iterations, cv::BORDER_REPLICATE );
}
/* End of file. */