109 lines
3.9 KiB
C++
109 lines
3.9 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#include <string>
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using namespace cv;
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using namespace std;
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class CV_ConnectedComponentsTest : public cvtest::BaseTest
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{
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public:
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CV_ConnectedComponentsTest();
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~CV_ConnectedComponentsTest();
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protected:
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void run(int);
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};
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CV_ConnectedComponentsTest::CV_ConnectedComponentsTest() {}
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CV_ConnectedComponentsTest::~CV_ConnectedComponentsTest() {}
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void CV_ConnectedComponentsTest::run( int /* start_from */)
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{
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string exp_path = string(ts->get_data_path()) + "connectedcomponents/ccomp_exp.png";
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Mat exp = imread(exp_path, 0);
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Mat orig = imread(string(ts->get_data_path()) + "connectedcomponents/concentric_circles.png", 0);
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if (orig.empty())
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{
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ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
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return;
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}
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Mat bw = orig > 128;
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Mat labelImage;
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int nLabels = connectedComponents(bw, labelImage, 8, CV_32S);
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for(int r = 0; r < labelImage.rows; ++r){
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for(int c = 0; c < labelImage.cols; ++c){
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int l = labelImage.at<int>(r, c);
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bool pass = l >= 0 && l <= nLabels;
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if(!pass){
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ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
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return;
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}
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}
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}
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if( exp.empty() || orig.size() != exp.size() )
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{
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imwrite(exp_path, labelImage);
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exp = labelImage;
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}
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if (0 != norm(labelImage > 0, exp > 0, NORM_INF))
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{
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ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
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return;
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}
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if (nLabels != norm(labelImage, NORM_INF)+1)
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{
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ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
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return;
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}
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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TEST(Imgproc_ConnectedComponents, regression) { CV_ConnectedComponentsTest test; test.safe_run(); }
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