1371 lines
45 KiB
C++
1371 lines
45 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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#include <limits.h>
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#include <stdio.h>
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/****************************************************************************************\
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Basic Morphological Operations: Erosion & Dilation
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\****************************************************************************************/
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namespace cv
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{
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template<typename T> struct MinOp
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{
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typedef T type1;
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typedef T type2;
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typedef T rtype;
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T operator ()(T a, T b) const { return std::min(a, b); }
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};
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template<typename T> struct MaxOp
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{
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typedef T type1;
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typedef T type2;
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typedef T rtype;
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T operator ()(T a, T b) const { return std::max(a, b); }
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};
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#undef CV_MIN_8U
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#undef CV_MAX_8U
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#define CV_MIN_8U(a,b) ((a) - CV_FAST_CAST_8U((a) - (b)))
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#define CV_MAX_8U(a,b) ((a) + CV_FAST_CAST_8U((b) - (a)))
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template<> inline uchar MinOp<uchar>::operator ()(uchar a, uchar b) const { return CV_MIN_8U(a, b); }
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template<> inline uchar MaxOp<uchar>::operator ()(uchar a, uchar b) const { return CV_MAX_8U(a, b); }
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struct MorphRowNoVec
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{
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MorphRowNoVec(int, int) {}
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int operator()(const uchar*, uchar*, int, int) const { return 0; }
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};
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struct MorphColumnNoVec
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{
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MorphColumnNoVec(int, int) {}
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int operator()(const uchar**, uchar*, int, int, int) const { return 0; }
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};
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struct MorphNoVec
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{
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int operator()(uchar**, int, uchar*, int) const { return 0; }
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};
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#if CV_SSE2
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template<class VecUpdate> struct MorphRowIVec
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{
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enum { ESZ = VecUpdate::ESZ };
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MorphRowIVec(int _ksize, int _anchor) : ksize(_ksize), anchor(_anchor) {}
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int operator()(const uchar* src, uchar* dst, int width, int cn) const
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{
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if( !checkHardwareSupport(CV_CPU_SSE2) )
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return 0;
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cn *= ESZ;
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int i, k, _ksize = ksize*cn;
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width = (width & -4)*cn;
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VecUpdate updateOp;
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for( i = 0; i <= width - 16; i += 16 )
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{
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__m128i s = _mm_loadu_si128((const __m128i*)(src + i));
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for( k = cn; k < _ksize; k += cn )
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{
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__m128i x = _mm_loadu_si128((const __m128i*)(src + i + k));
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s = updateOp(s, x);
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}
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_mm_storeu_si128((__m128i*)(dst + i), s);
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}
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for( ; i < width; i += 4 )
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{
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__m128i s = _mm_cvtsi32_si128(*(const int*)(src + i));
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for( k = cn; k < _ksize; k += cn )
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{
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__m128i x = _mm_cvtsi32_si128(*(const int*)(src + i + k));
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s = updateOp(s, x);
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}
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*(int*)(dst + i) = _mm_cvtsi128_si32(s);
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}
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return i/ESZ;
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}
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int ksize, anchor;
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};
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template<class VecUpdate> struct MorphRowFVec
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{
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MorphRowFVec(int _ksize, int _anchor) : ksize(_ksize), anchor(_anchor) {}
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int operator()(const uchar* src, uchar* dst, int width, int cn) const
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{
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if( !checkHardwareSupport(CV_CPU_SSE) )
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return 0;
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int i, k, _ksize = ksize*cn;
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width = (width & -4)*cn;
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VecUpdate updateOp;
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for( i = 0; i < width; i += 4 )
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{
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__m128 s = _mm_loadu_ps((const float*)src + i);
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for( k = cn; k < _ksize; k += cn )
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{
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__m128 x = _mm_loadu_ps((const float*)src + i + k);
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s = updateOp(s, x);
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}
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_mm_storeu_ps((float*)dst + i, s);
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}
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return i;
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}
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int ksize, anchor;
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};
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template<class VecUpdate> struct MorphColumnIVec
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{
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enum { ESZ = VecUpdate::ESZ };
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MorphColumnIVec(int _ksize, int _anchor) : ksize(_ksize), anchor(_anchor) {}
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int operator()(const uchar** src, uchar* dst, int dststep, int count, int width) const
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{
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if( !checkHardwareSupport(CV_CPU_SSE2) )
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return 0;
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int i = 0, k, _ksize = ksize;
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width *= ESZ;
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VecUpdate updateOp;
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for( i = 0; i < count + ksize - 1; i++ )
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CV_Assert( ((size_t)src[i] & 15) == 0 );
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for( ; _ksize > 1 && count > 1; count -= 2, dst += dststep*2, src += 2 )
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{
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for( i = 0; i <= width - 32; i += 32 )
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{
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const uchar* sptr = src[1] + i;
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__m128i s0 = _mm_load_si128((const __m128i*)sptr);
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__m128i s1 = _mm_load_si128((const __m128i*)(sptr + 16));
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__m128i x0, x1;
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for( k = 2; k < _ksize; k++ )
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{
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sptr = src[k] + i;
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x0 = _mm_load_si128((const __m128i*)sptr);
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x1 = _mm_load_si128((const __m128i*)(sptr + 16));
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s0 = updateOp(s0, x0);
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s1 = updateOp(s1, x1);
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}
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sptr = src[0] + i;
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x0 = _mm_load_si128((const __m128i*)sptr);
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x1 = _mm_load_si128((const __m128i*)(sptr + 16));
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_mm_storeu_si128((__m128i*)(dst + i), updateOp(s0, x0));
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_mm_storeu_si128((__m128i*)(dst + i + 16), updateOp(s1, x1));
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sptr = src[k] + i;
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x0 = _mm_load_si128((const __m128i*)sptr);
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x1 = _mm_load_si128((const __m128i*)(sptr + 16));
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_mm_storeu_si128((__m128i*)(dst + dststep + i), updateOp(s0, x0));
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_mm_storeu_si128((__m128i*)(dst + dststep + i + 16), updateOp(s1, x1));
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}
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for( ; i <= width - 8; i += 8 )
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{
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__m128i s0 = _mm_loadl_epi64((const __m128i*)(src[1] + i)), x0;
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for( k = 2; k < _ksize; k++ )
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{
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x0 = _mm_loadl_epi64((const __m128i*)(src[k] + i));
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s0 = updateOp(s0, x0);
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}
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x0 = _mm_loadl_epi64((const __m128i*)(src[0] + i));
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_mm_storel_epi64((__m128i*)(dst + i), updateOp(s0, x0));
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x0 = _mm_loadl_epi64((const __m128i*)(src[k] + i));
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_mm_storel_epi64((__m128i*)(dst + dststep + i), updateOp(s0, x0));
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}
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}
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for( ; count > 0; count--, dst += dststep, src++ )
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{
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for( i = 0; i <= width - 32; i += 32 )
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{
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const uchar* sptr = src[0] + i;
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__m128i s0 = _mm_load_si128((const __m128i*)sptr);
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__m128i s1 = _mm_load_si128((const __m128i*)(sptr + 16));
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__m128i x0, x1;
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for( k = 1; k < _ksize; k++ )
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{
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sptr = src[k] + i;
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x0 = _mm_load_si128((const __m128i*)sptr);
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x1 = _mm_load_si128((const __m128i*)(sptr + 16));
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s0 = updateOp(s0, x0);
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s1 = updateOp(s1, x1);
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}
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_mm_storeu_si128((__m128i*)(dst + i), s0);
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_mm_storeu_si128((__m128i*)(dst + i + 16), s1);
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}
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for( ; i <= width - 8; i += 8 )
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{
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__m128i s0 = _mm_loadl_epi64((const __m128i*)(src[0] + i)), x0;
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for( k = 1; k < _ksize; k++ )
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{
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x0 = _mm_loadl_epi64((const __m128i*)(src[k] + i));
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s0 = updateOp(s0, x0);
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}
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_mm_storel_epi64((__m128i*)(dst + i), s0);
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}
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}
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return i/ESZ;
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}
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int ksize, anchor;
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};
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template<class VecUpdate> struct MorphColumnFVec
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{
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MorphColumnFVec(int _ksize, int _anchor) : ksize(_ksize), anchor(_anchor) {}
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int operator()(const uchar** _src, uchar* _dst, int dststep, int count, int width) const
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{
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if( !checkHardwareSupport(CV_CPU_SSE) )
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return 0;
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int i = 0, k, _ksize = ksize;
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VecUpdate updateOp;
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for( i = 0; i < count + ksize - 1; i++ )
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CV_Assert( ((size_t)_src[i] & 15) == 0 );
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const float** src = (const float**)_src;
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float* dst = (float*)_dst;
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dststep /= sizeof(dst[0]);
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for( ; _ksize > 1 && count > 1; count -= 2, dst += dststep*2, src += 2 )
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{
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for( i = 0; i <= width - 16; i += 16 )
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{
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const float* sptr = src[1] + i;
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__m128 s0 = _mm_load_ps(sptr);
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__m128 s1 = _mm_load_ps(sptr + 4);
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__m128 s2 = _mm_load_ps(sptr + 8);
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__m128 s3 = _mm_load_ps(sptr + 12);
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__m128 x0, x1, x2, x3;
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for( k = 2; k < _ksize; k++ )
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{
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sptr = src[k] + i;
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x0 = _mm_load_ps(sptr);
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x1 = _mm_load_ps(sptr + 4);
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s0 = updateOp(s0, x0);
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s1 = updateOp(s1, x1);
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x2 = _mm_load_ps(sptr + 8);
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x3 = _mm_load_ps(sptr + 12);
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s2 = updateOp(s2, x2);
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s3 = updateOp(s3, x3);
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}
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sptr = src[0] + i;
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x0 = _mm_load_ps(sptr);
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x1 = _mm_load_ps(sptr + 4);
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x2 = _mm_load_ps(sptr + 8);
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x3 = _mm_load_ps(sptr + 12);
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_mm_storeu_ps(dst + i, updateOp(s0, x0));
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_mm_storeu_ps(dst + i + 4, updateOp(s1, x1));
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_mm_storeu_ps(dst + i + 8, updateOp(s2, x2));
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_mm_storeu_ps(dst + i + 12, updateOp(s3, x3));
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sptr = src[k] + i;
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x0 = _mm_load_ps(sptr);
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x1 = _mm_load_ps(sptr + 4);
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x2 = _mm_load_ps(sptr + 8);
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x3 = _mm_load_ps(sptr + 12);
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_mm_storeu_ps(dst + dststep + i, updateOp(s0, x0));
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_mm_storeu_ps(dst + dststep + i + 4, updateOp(s1, x1));
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_mm_storeu_ps(dst + dststep + i + 8, updateOp(s2, x2));
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_mm_storeu_ps(dst + dststep + i + 12, updateOp(s3, x3));
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}
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for( ; i <= width - 4; i += 4 )
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{
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__m128 s0 = _mm_load_ps(src[1] + i), x0;
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for( k = 2; k < _ksize; k++ )
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{
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x0 = _mm_load_ps(src[k] + i);
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s0 = updateOp(s0, x0);
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}
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x0 = _mm_load_ps(src[0] + i);
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_mm_storeu_ps(dst + i, updateOp(s0, x0));
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x0 = _mm_load_ps(src[k] + i);
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_mm_storeu_ps(dst + dststep + i, updateOp(s0, x0));
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}
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}
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for( ; count > 0; count--, dst += dststep, src++ )
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{
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for( i = 0; i <= width - 16; i += 16 )
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{
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const float* sptr = src[0] + i;
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__m128 s0 = _mm_load_ps(sptr);
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__m128 s1 = _mm_load_ps(sptr + 4);
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__m128 s2 = _mm_load_ps(sptr + 8);
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__m128 s3 = _mm_load_ps(sptr + 12);
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__m128 x0, x1, x2, x3;
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for( k = 1; k < _ksize; k++ )
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{
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sptr = src[k] + i;
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x0 = _mm_load_ps(sptr);
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x1 = _mm_load_ps(sptr + 4);
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s0 = updateOp(s0, x0);
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s1 = updateOp(s1, x1);
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x2 = _mm_load_ps(sptr + 8);
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x3 = _mm_load_ps(sptr + 12);
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s2 = updateOp(s2, x2);
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s3 = updateOp(s3, x3);
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}
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_mm_storeu_ps(dst + i, s0);
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_mm_storeu_ps(dst + i + 4, s1);
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_mm_storeu_ps(dst + i + 8, s2);
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_mm_storeu_ps(dst + i + 12, s3);
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}
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for( i = 0; i <= width - 4; i += 4 )
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{
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__m128 s0 = _mm_load_ps(src[0] + i), x0;
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for( k = 1; k < _ksize; k++ )
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{
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x0 = _mm_load_ps(src[k] + i);
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s0 = updateOp(s0, x0);
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}
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_mm_storeu_ps(dst + i, s0);
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}
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}
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return i;
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}
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int ksize, anchor;
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};
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template<class VecUpdate> struct MorphIVec
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{
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enum { ESZ = VecUpdate::ESZ };
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int operator()(uchar** src, int nz, uchar* dst, int width) const
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{
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if( !checkHardwareSupport(CV_CPU_SSE2) )
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return 0;
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int i, k;
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width *= ESZ;
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VecUpdate updateOp;
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for( i = 0; i <= width - 32; i += 32 )
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{
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const uchar* sptr = src[0] + i;
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__m128i s0 = _mm_loadu_si128((const __m128i*)sptr);
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__m128i s1 = _mm_loadu_si128((const __m128i*)(sptr + 16));
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__m128i x0, x1;
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for( k = 1; k < nz; k++ )
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{
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sptr = src[k] + i;
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x0 = _mm_loadu_si128((const __m128i*)sptr);
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x1 = _mm_loadu_si128((const __m128i*)(sptr + 16));
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s0 = updateOp(s0, x0);
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s1 = updateOp(s1, x1);
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}
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_mm_storeu_si128((__m128i*)(dst + i), s0);
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_mm_storeu_si128((__m128i*)(dst + i + 16), s1);
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}
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for( ; i <= width - 8; i += 8 )
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{
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__m128i s0 = _mm_loadl_epi64((const __m128i*)(src[0] + i)), x0;
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for( k = 1; k < nz; k++ )
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{
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x0 = _mm_loadl_epi64((const __m128i*)(src[k] + i));
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s0 = updateOp(s0, x0);
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}
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_mm_storel_epi64((__m128i*)(dst + i), s0);
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}
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return i/ESZ;
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}
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};
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template<class VecUpdate> struct MorphFVec
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{
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int operator()(uchar** _src, int nz, uchar* _dst, int width) const
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{
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if( !checkHardwareSupport(CV_CPU_SSE) )
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return 0;
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const float** src = (const float**)_src;
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float* dst = (float*)_dst;
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int i, k;
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VecUpdate updateOp;
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for( i = 0; i <= width - 16; i += 16 )
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{
|
|
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
|
|
|
|
#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
|
|
|
|
typedef MorphRowNoVec ErodeRowVec64f;
|
|
typedef MorphRowNoVec DilateRowVec64f;
|
|
typedef MorphColumnNoVec ErodeColumnVec64f;
|
|
typedef MorphColumnNoVec DilateColumnVec64f;
|
|
typedef MorphNoVec ErodeVec64f;
|
|
typedef MorphNoVec DilateVec64f;
|
|
|
|
|
|
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));
|
|
if( depth == CV_64F )
|
|
return Ptr<BaseRowFilter>(new MorphRowFilter<MinOp<double>,
|
|
ErodeRowVec64f>(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));
|
|
if( depth == CV_64F )
|
|
return Ptr<BaseRowFilter>(new MorphRowFilter<MaxOp<double>,
|
|
DilateRowVec64f>(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));
|
|
if( depth == CV_64F )
|
|
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MinOp<double>,
|
|
ErodeColumnVec64f>(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));
|
|
if( depth == CV_64F )
|
|
return Ptr<BaseColumnFilter>(new MorphColumnFilter<MaxOp<double>,
|
|
DilateColumnVec64f>(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));
|
|
if( depth == CV_64F )
|
|
return Ptr<BaseFilter>(new MorphFilter<MinOp<double>, ErodeVec64f>(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));
|
|
if( depth == CV_64F )
|
|
return Ptr<BaseFilter>(new MorphFilter<MaxOp<double>, DilateVec64f>(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_16S ||
|
|
depth == CV_32F || depth == CV_64F );
|
|
if( op == MORPH_ERODE )
|
|
borderValue = Scalar::all( depth == CV_8U ? (double)UCHAR_MAX :
|
|
depth == CV_16U ? (double)USHRT_MAX :
|
|
depth == CV_16S ? (double)SHRT_MAX :
|
|
depth == CV_32F ? (double)FLT_MAX : DBL_MAX);
|
|
else
|
|
borderValue = Scalar::all( depth == CV_8U || depth == CV_16U ?
|
|
0. :
|
|
depth == CV_16S ? (double)SHRT_MIN :
|
|
depth == CV_32F ? (double)-FLT_MAX : -DBL_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. */
|