Commit e18103e2 authored by Vadim Pisarevsky's avatar Vadim Pisarevsky

Merge pull request #221 from xolodilnik:fast_hough_transform

parents 172fdb31 7a586538
......@@ -41,6 +41,7 @@
#include "ximgproc/disparity_filter.hpp"
#include "ximgproc/structured_edge_detection.hpp"
#include "ximgproc/seeds.hpp"
#include "ximgproc/fast_hough_transform.hpp"
/** @defgroup ximgproc Extended Image Processing
@{
......
/*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) 2015, Smart Engines Ltd, all rights reserved.
// Copyright (C) 2015, Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), all rights reserved.
// Copyright (C) 2015, Dmitry Nikolaev, Simon Karpenko, Michail Aliev, Elena Kuznetsova, 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*/
#ifndef __OPENCV_FAST_HOUGH_TRANSFORM_HPP__
#define __OPENCV_FAST_HOUGH_TRANSFORM_HPP__
#ifdef __cplusplus
#include "opencv2/core.hpp"
namespace cv { namespace ximgproc {
/**
* @brief Specifies the part of Hough space to calculate
* @details The enum specifies the part of Hough space to calculate. Each
* member specifies primarily direction of lines (horizontal or vertical)
* and the direction of angle changes.
* Direction of angle changes is from multiples of 90 to odd multiples of 45.
* The image considered to be written top-down and left-to-right.
* Angles are started from vertical line and go clockwise.
* Separate quarters and halves are written in orientation they should be in
* full Hough space.
*/
enum AngleRangeOption
{
ARO_0_45 = 0, //< Vertical primarily direction and clockwise angle changes
ARO_45_90 = 1, //< Horizontal primarily direction and counterclockwise angle changes
ARO_90_135 = 2, //< Horizontal primarily direction and clockwise angle changes
ARO_315_0 = 3, //< Vertical primarily direction and counterclockwise angle changes
ARO_315_45 = 4, //< Vertical primarily direction
ARO_45_135 = 5, //< Horizontal primarily direction
ARO_315_135 = 6, //< Full set of directions
ARO_CTR_HOR = 7, //< 90 +/- atan(0.5), interval approximately from 64.5 to 116.5 degrees.
//< It is used for calculating Fast Hough Transform for images skewed by atan(0.5).
ARO_CTR_VER = 8 //< +/- atan(0.5), interval approximately from 333.5(-26.5) to 26.5 degrees
//< It is used for calculating Fast Hough Transform for images skewed by atan(0.5).
};
/**
* @brief Specifies binary operations.
* @details The enum specifies binary operations, that is such ones which involve
* two operands. Formally, a binary operation @f$ f @f$ on a set @f$ S @f$
* is a binary relation that maps elements of the Cartesian product
* @f$ S \times S @f$ to @f$ S @f$:
* @f[ f: S \times S \to S @f]
* @ingroup MinUtils_MathOper
*/
enum HoughOp
{
FHT_MIN = 0, //< Binary minimum operation. The constant specifies the binary minimum operation
//< @f$ f @f$ that is defined as follows: @f[ f(x, y) = \min(x, y) @f]
FHT_MAX = 1, //< Binary maximum operation. The constant specifies the binary maximum operation
//< @f$ f @f$ that is defined as follows: @f[ f(x, y) = \max(x, y) @f]
FHT_ADD = 2, //< Binary addition operation. The constant specifies the binary addition operation
//< @f$ f @f$ that is defined as follows: @f[ f(x, y) = x + y @f]
FHT_AVE = 3 //< Binary average operation. The constant specifies the binary average operation
//< @f$ f @f$ that is defined as follows: @f[ f(x, y) = \frac{x + y}{2} @f]
};
/**
* @brief Specifies to do or not to do skewing of Hough transform image
* @details The enum specifies to do or not to do skewing of Hough transform image
* so it would be no cycling in Hough transform image through borders of image.
*/
enum HoughDeskewOption
{
HDO_RAW = 0, //< Use raw cyclic image
HDO_DESKEW = 1 //< Prepare deskewed image
};
/**
* @brief Specifies the degree of rules validation.
* @details The enum specifies the degree of rules validation. This can be used,
* for example, to choose a proper way of input arguments validation.
*/
typedef enum {
RO_STRICT = 0x00, ///< Validate each rule in a proper way.
RO_IGNORE_BORDERS = 0x01, ///< Skip validations of image borders.
} RulesOption;
/**
* @brief Calculates 2D Fast Hough transform of an image.
* @param dst The destination image, result of transformation.
* @param src The source (input) image.
* @param dstMatDepth The depth of destination image
* @param op The operation to be applied, see cv::HoughOp
* @param angleRange The part of Hough space to calculate, see cv::AngleRangeOption
* @param makeSkew Specifies to do or not to do image skewing, see cv::HoughDeskewOption
*
* The function calculates the fast Hough transform for full, half or quarter
* range of angles.
*/
CV_EXPORTS void FastHoughTransform( InputArray src,
OutputArray dst,
int dstMatDepth,
int angleRange = ARO_315_135,
int op = FHT_ADD,
int makeSkew = HDO_DESKEW );
/**
* @brief Calculates coordinates of line segment corresponded by point in Hough space.
* @param houghPoint Point in Hough space.
* @param srcImgInfo The source (input) image of Hough transform.
* @param angleRange The part of Hough space where point is situated, see cv::AngleRangeOption
* @param makeSkew Specifies to do or not to do image skewing, see cv::HoughDeskewOption
* @param rules Specifies strictness of line segment calculating, see cv::RulesOption
* @retval [Vec4i] Coordinates of line segment corresponded by point in Hough space.
* @remarks If rules parameter set to RO_STRICT
then returned line cut along the border of source image.
* @remarks If rules parameter set to RO_WEAK then in case of point, which belongs
the incorrect part of Hough image, returned line will not intersect source image.
*
* The function calculates coordinates of line segment corresponded by point in Hough space.
*/
CV_EXPORTS Vec4i HoughPoint2Line(const Point &houghPoint,
InputArray srcImgInfo,
int angleRange = ARO_315_135,
int makeSkew = HDO_DESKEW,
int rules = RO_IGNORE_BORDERS );
} }// namespace cv::ximgproc
#endif //__cplusplus
#endif //__OPENCV_FAST_HOUGH_TRANSFORM_HPP__
/*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) 2015, Smart Engines Ltd, all rights reserved.
// Copyright (C) 2015, Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), all rights reserved.
// Copyright (C) 2015, Dmitry Nikolaev, Simon Karpenko, Michail Aliev, Elena Kuznetsova, 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 "perf_precomp.hpp"
namespace cvtest {
using namespace std;
using namespace cv;
using namespace cv::ximgproc;
using namespace perf;
using namespace testing;
using std::tr1::make_tuple;
using std::tr1::get;
typedef std::tr1::tuple<Size, MatType, MatDepth> srcSize_srcType_dstDepth_t;
typedef perf::TestBaseWithParam<srcSize_srcType_dstDepth_t>
srcSize_srcType_dstDepth;
#define ALL_MAT_DEPHTS CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F
PERF_TEST_P(srcSize_srcType_dstDepth, FastHoughTransform,
testing::Combine(
testing::Values(TYPICAL_MAT_SIZES),
testing::Values(TYPICAL_MAT_TYPES),
testing::Values(ALL_MAT_DEPHTS)
)
)
{
Size srcSize = get<0>(GetParam());
int srcType = get<1>(GetParam());
int dstDepth = get<2>(GetParam());
Mat src(srcSize, srcType);
Mat fht;
declare.in(src, WARMUP_RNG);
TEST_CYCLE_N(3)
{
FastHoughTransform(src, fht, dstDepth);
}
SANITY_CHECK_NOTHING();
}
#undef ALL_MAT_DEPHTS
} // namespace cvtest
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