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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 "test_precomp.hpp"
+
+ using namespace cv;
+ using namespace std;
+
+ class CV_HoughLinesTest : public cvtest::BaseTest
+ {
+ public:
+ enum {STANDART = 0, PROBABILISTIC};
+ CV_HoughLinesTest() {}
+ ~CV_HoughLinesTest() {}
+ protected:
+ void run_test(int type);
+ };
+
+ class CV_StandartHoughLinesTest : public CV_HoughLinesTest
+ {
+ public:
+ CV_StandartHoughLinesTest() {}
+ ~CV_StandartHoughLinesTest() {}
+ virtual void run(int);
+ };
+
+ class CV_ProbabilisticHoughLinesTest : public CV_HoughLinesTest
+ {
+ public:
+ CV_ProbabilisticHoughLinesTest() {}
+ ~CV_ProbabilisticHoughLinesTest() {}
+ virtual void run(int);
+ };
+
+ void CV_StandartHoughLinesTest::run(int)
+ {
+ run_test(STANDART);
+ }
+
+ void CV_ProbabilisticHoughLinesTest::run(int)
+ {
+ run_test(PROBABILISTIC);
+ }
+
+ void CV_HoughLinesTest::run_test(int type)
+ {
+ Mat src = imread(string(ts->get_data_path()) + "shared/pic1.png");
+ if (src.empty())
+ {
+ ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
+ return;
+ }
+
+ string xml;
+ if (type == STANDART)
+ xml = string(ts->get_data_path()) + "imgproc/HoughLines.xml";
+ else if (type == PROBABILISTIC)
+ xml = string(ts->get_data_path()) + "imgproc/HoughLinesP.xml";
+ else
+ {
+ ts->printf(cvtest::TS::LOG, "Error: unknown HoughLines algorithm type.\n");
+ ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
+ return;
+ }
+
+ Mat dst;
+ Canny(src, dst, 50, 200, 3);
+
+ Mat lines;
+ if (type == STANDART)
+ HoughLines(dst, lines, 1, CV_PI/180, 100, 0, 0);
+ else if (type == PROBABILISTIC)
+ HoughLinesP(dst, lines, 1, CV_PI/180, 100, 0, 0);
+
+ FileStorage fs(xml, FileStorage::READ);
+ if (!fs.isOpened())
+ {
+ fs.open(xml, FileStorage::WRITE);
+ if (!fs.isOpened())
+ {
+ ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
+ return;
+ }
+ fs << "exp_lines" << lines;
+ fs.release();
+ fs.open(xml, FileStorage::READ);
+ if (!fs.isOpened())
+ {
+ ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
+ return;
+ }
+ }
+
+ Mat exp_lines;
+ read( fs["exp_lines"], exp_lines, Mat() );
+ fs.release();
+
+ if ( exp_lines.size != lines.size || norm(exp_lines, lines, NORM_INF) > 1e-4 )
+ {
+ ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
+ return;
+ }
+
+ ts->set_failed_test_info(cvtest::TS::OK);
+ }
+
+ TEST(Imgproc_HoughLines, regression) { CV_StandartHoughLinesTest test; test.safe_run(); }
+
+ TEST(Imgproc_HoughLinesP, regression) { CV_ProbabilisticHoughLinesTest test; test.safe_run(); }