mirror of
https://github.com/opencv/opencv.git
synced 2024-12-26 10:48:12 +08:00
128 lines
4.4 KiB
C++
128 lines
4.4 KiB
C++
/*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 "test_precomp.hpp"
|
|
|
|
using namespace cv;
|
|
using namespace std;
|
|
|
|
namespace cvtest
|
|
{
|
|
|
|
/// phase correlation
|
|
class CV_PhaseCorrelatorTest : public cvtest::ArrayTest
|
|
{
|
|
public:
|
|
CV_PhaseCorrelatorTest();
|
|
protected:
|
|
void run( int );
|
|
};
|
|
|
|
CV_PhaseCorrelatorTest::CV_PhaseCorrelatorTest() {}
|
|
|
|
void CV_PhaseCorrelatorTest::run( int )
|
|
{
|
|
ts->set_failed_test_info(cvtest::TS::OK);
|
|
|
|
Mat r1 = Mat::ones(Size(129, 128), CV_64F);
|
|
Mat r2 = Mat::ones(Size(129, 128), CV_64F);
|
|
|
|
double expectedShiftX = -10.0;
|
|
double expectedShiftY = -20.0;
|
|
|
|
// draw 10x10 rectangles @ (100, 100) and (90, 80) should see ~(-10, -20) shift here...
|
|
cv::rectangle(r1, Point(100, 100), Point(110, 110), Scalar(0, 0, 0), CV_FILLED);
|
|
cv::rectangle(r2, Point(90, 80), Point(100, 90), Scalar(0, 0, 0), CV_FILLED);
|
|
|
|
Mat hann;
|
|
createHanningWindow(hann, r1.size(), CV_64F);
|
|
Point2d phaseShift = phaseCorrelate(r1, r2, hann);
|
|
|
|
// test accuracy should be less than 1 pixel...
|
|
if(std::abs(expectedShiftX - phaseShift.x) >= 1 || std::abs(expectedShiftY - phaseShift.y) >= 1)
|
|
{
|
|
ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
|
|
}
|
|
}
|
|
|
|
TEST(Imgproc_PhaseCorrelatorTest, accuracy) { CV_PhaseCorrelatorTest test; test.safe_run(); }
|
|
|
|
TEST(Imgproc_PhaseCorrelatorTest, accuracy_real_img)
|
|
{
|
|
Mat img = imread(cvtest::TS::ptr()->get_data_path() + "shared/airplane.png", IMREAD_GRAYSCALE);
|
|
img.convertTo(img, CV_64FC1);
|
|
|
|
const int xLen = 129;
|
|
const int yLen = 129;
|
|
const int xShift = 40;
|
|
const int yShift = 14;
|
|
|
|
Mat roi1 = img(Rect(xShift, yShift, xLen, yLen));
|
|
Mat roi2 = img(Rect(0, 0, xLen, yLen));
|
|
|
|
Mat hann;
|
|
createHanningWindow(hann, roi1.size(), CV_64F);
|
|
Point2d phaseShift = phaseCorrelate(roi1, roi2, hann);
|
|
|
|
ASSERT_NEAR(phaseShift.x, (double)xShift, 1.);
|
|
ASSERT_NEAR(phaseShift.y, (double)yShift, 1.);
|
|
}
|
|
|
|
TEST(Imgproc_PhaseCorrelatorTest, accuracy_1d_odd_fft) {
|
|
Mat r1 = Mat::ones(Size(129, 1), CV_64F)*255; // 129 will be completed to 135 before FFT
|
|
Mat r2 = Mat::ones(Size(129, 1), CV_64F)*255;
|
|
|
|
const int xShift = 10;
|
|
|
|
for(int i = 6; i < 20; i++)
|
|
{
|
|
r1.at<double>(i) = 1;
|
|
r2.at<double>(i + xShift) = 1;
|
|
}
|
|
|
|
Point2d phaseShift = phaseCorrelate(r1, r2);
|
|
|
|
ASSERT_NEAR(phaseShift.x, (double)xShift, 1.);
|
|
}
|
|
|
|
}
|