opencv/modules/imgproc/src/spatialgradient.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.
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// * 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
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// 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,
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//M*/
#include "precomp.hpp"
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#include "opencv2/hal/intrin.hpp"
namespace cv
{
void spatialGradient( InputArray _src, OutputArray _dx, OutputArray _dy,
int ksize, int borderType )
{
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// Prepare InputArray src
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Mat src = _src.getMat();
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CV_Assert( !src.empty() );
CV_Assert( src.type() == CV_8UC1 );
CV_Assert( borderType == BORDER_DEFAULT || borderType == BORDER_REPLICATE );
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// Prepare OutputArrays dx, dy
_dx.create( src.size(), CV_16SC1 );
_dy.create( src.size(), CV_16SC1 );
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Mat dx = _dx.getMat(),
dy = _dy.getMat();
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// TODO: Allow for other kernel sizes
CV_Assert(ksize == 3);
// Get dimensions
const int H = src.rows,
W = src.cols;
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// Row, column indices
int i, j;
// Store pointers to rows of input/output data
// Padded by two rows for border handling
std::vector<uchar*> P_src(H+2);
std::vector<short*> P_dx (H+2);
std::vector<short*> P_dy (H+2);
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int i_top = 0, // Case for H == 1 && W == 1 && BORDER_REPLICATE
i_bottom = H - 1,
j_offl = 0, // j offset from 0th pixel to reach -1st pixel
j_offr = 0; // j offset from W-1th pixel to reach Wth pixel
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if ( borderType == BORDER_DEFAULT ) // Equiv. to BORDER_REFLECT_101
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{
if ( H > 1 )
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{
i_top = 1;
i_bottom = H - 2;
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}
if ( W > 1 )
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{
j_offl = 1;
j_offr = -1;
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}
}
P_src[0] = src.ptr<uchar>(i_top); // Mirrored top border
P_src[H+1] = src.ptr<uchar>(i_bottom); // Mirrored bottom border
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for ( i = 0; i < H; i++ )
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{
P_src[i+1] = src.ptr<uchar>(i);
P_dx [i] = dx.ptr<short>(i);
P_dy [i] = dy.ptr<short>(i);
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}
// Pointer to row vectors
uchar *p_src, *c_src, *n_src; // previous, current, next row
short *c_dx, *c_dy;
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int i_start = 0;
int j_start = 0;
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#if CV_SIMD128
// Characters in variable names have the following meanings:
// u: unsigned char
// s: signed int
//
// [row][column]
// m: offset -1
// n: offset 0
// p: offset 1
// Example: umn is offset -1 in row and offset 0 in column
uchar tmp;
v_uint8x16 v_um, v_un, v_up;
v_uint16x8 v_um1, v_um2, v_un1, v_un2, v_up1, v_up2;
v_int16x8 v_s1m1, v_s1m2, v_s1n1, v_s1n2, v_s1p1, v_s1p2,
v_s2m1, v_s2m2, v_s2n1, v_s2n2, v_s2p1, v_s2p2,
v_s3m1, v_s3m2, v_s3n1, v_s3n2, v_s3p1, v_s3p2,
v_tmp, v_sdx, v_sdy;
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for ( i = 0; i < H - 2; i += 2 )
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{
p_src = P_src[i]; c_src = P_src[i+1]; n_src = P_src[i+2];
c_dx = P_dx [i];
c_dy = P_dy [i];
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// 16-column chunks at a time
for ( j = 0; j < W - 15; j += 16 )
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{
bool left = false, right = false;
if ( j == 0 ) left = true;
if ( j == W - 16 ) right = true;
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// Load top row for 3x3 Sobel filter
if ( left ) { tmp = p_src[j-1]; p_src[j-1] = p_src[j+j_offl]; }
v_um = v_load(&p_src[j-1]);
if ( left ) p_src[j-1] = tmp;
v_un = v_load(&p_src[j]);
if ( right ) { tmp = p_src[j+16]; p_src[j+16] = p_src[j+15+j_offr]; }
v_up = v_load(&p_src[j+1]);
if ( right ) p_src[j+16] = tmp;
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v_expand(v_um, v_um1, v_um2);
v_expand(v_un, v_un1, v_un2);
v_expand(v_up, v_up1, v_up2);
v_s1m1 = v_reinterpret_as_s16(v_um1);
v_s1m2 = v_reinterpret_as_s16(v_um2);
v_s1n1 = v_reinterpret_as_s16(v_un1);
v_s1n2 = v_reinterpret_as_s16(v_un2);
v_s1p1 = v_reinterpret_as_s16(v_up1);
v_s1p2 = v_reinterpret_as_s16(v_up2);
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// Load second row for 3x3 Sobel filter
if ( left ) { tmp = c_src[j-1]; c_src[j-1] = c_src[j+j_offl]; }
v_um = v_load(&c_src[j-1]);
if ( left ) c_src[j-1] = tmp;
v_un = v_load(&c_src[j]);
if ( right ) { tmp = c_src[j+16]; c_src[j+16] = c_src[j+15+j_offr]; }
v_up = v_load(&c_src[j+1]);
if ( right ) c_src[j+16] = tmp;
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v_expand(v_um, v_um1, v_um2);
v_expand(v_un, v_un1, v_un2);
v_expand(v_up, v_up1, v_up2);
v_s2m1 = v_reinterpret_as_s16(v_um1);
v_s2m2 = v_reinterpret_as_s16(v_um2);
v_s2n1 = v_reinterpret_as_s16(v_un1);
v_s2n2 = v_reinterpret_as_s16(v_un2);
v_s2p1 = v_reinterpret_as_s16(v_up1);
v_s2p2 = v_reinterpret_as_s16(v_up2);
// Load third row for 3x3 Sobel filter
if ( left ) { tmp = n_src[j-1]; n_src[j-1] = n_src[j+j_offl]; }
v_um = v_load(&n_src[j-1]);
if ( left ) n_src[j-1] = tmp;
v_un = v_load(&n_src[j]);
if ( right ) { tmp = n_src[j+16]; n_src[j+16] = n_src[j+15+j_offr]; }
v_up = v_load(&n_src[j+1]);
if ( right ) n_src[j+16] = tmp;
v_expand(v_um, v_um1, v_um2);
v_expand(v_un, v_un1, v_un2);
v_expand(v_up, v_up1, v_up2);
v_s3m1 = v_reinterpret_as_s16(v_um1);
v_s3m2 = v_reinterpret_as_s16(v_um2);
v_s3n1 = v_reinterpret_as_s16(v_un1);
v_s3n2 = v_reinterpret_as_s16(v_un2);
v_s3p1 = v_reinterpret_as_s16(v_up1);
v_s3p2 = v_reinterpret_as_s16(v_up2);
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// dx
v_tmp = v_s2p1 - v_s2m1;
v_sdx = (v_s1p1 - v_s1m1) + (v_tmp + v_tmp) + (v_s3p1 - v_s3m1);
v_tmp = v_s2p2 - v_s2m2;
v_sdx = (v_s1p2 - v_s1m2) + (v_tmp + v_tmp) + (v_s3p2 - v_s3m2);
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// dy
v_tmp = v_s3n1 - v_s1n1;
v_sdy = (v_s3m1 - v_s1m1) + (v_tmp + v_tmp) + (v_s3p1 - v_s1p1);
v_tmp = v_s3n2 - v_s1n2;
v_sdy = (v_s3m2 - v_s1m2) + (v_tmp + v_tmp) + (v_s3p2 - v_s1p2);
// Store
v_store(&c_dx[j], v_sdx);
v_store(&c_dx[j+8], v_sdx);
v_store(&c_dy[j], v_sdy);
v_store(&c_dy[j+8], v_sdy);
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}
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}
i_start = i;
j_start = j;
#endif
/* NOTE:
*
* Sobel-x: -1 0 1
* -2 0 2
* -1 0 1
*
* Sobel-y: -1 -2 -1
* 0 0 0
* 1 2 1
*/
int j_p, j_n;
uchar v00, v01, v02, v10, v11, v12, v20, v21, v22;
for ( i = 0; i < H; i++ )
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{
p_src = P_src[i]; c_src = P_src[i+1]; n_src = P_src[i+2];
c_dx = P_dx [i];
c_dy = P_dy [i];
// Pre-load 2 columns
j = i >= i_start ? 0 : j_start;
j_p = j - 1;
if ( j_p < 0 ) j_p = j + j_offl;
v00 = p_src[j_p]; v01 = p_src[j];
v10 = c_src[j_p]; v11 = c_src[j];
v20 = n_src[j_p]; v21 = n_src[j];
for ( ; j < W; j++ )
{
j_n = j + 1;
if ( j_n >= W ) j_n = j + j_offr;
// Get values for next column
v02 = p_src[j_n];
v12 = c_src[j_n];
v22 = n_src[j_n];
c_dx[j] = -(v00 + v10 + v10 + v20) + (v02 + v12 + v12 + v22);
c_dy[j] = -(v00 + v01 + v01 + v02) + (v20 + v21 + v21 + v22);
// Move values back one column for next iteration
v00 = v01; v10 = v11; v20 = v21;
v01 = v02; v11 = v12; v21 = v22;
}
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}
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}
}