diff --git a/modules/imgproc/test/test_houghLines.cpp b/modules/imgproc/test/test_houghLines.cpp
new file mode 100644
index 0000000000..9f2d27fc90
--- /dev/null
+++ b/modules/imgproc/test/test_houghLines.cpp
@@ -0,0 +1,149 @@
+/*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(); }
+