2011-02-10 04:55:11 +08:00
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/*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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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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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// * The name of Intel Corporation may not be used to endorse or promote products
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//
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//
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//M*/
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#include "test_precomp.hpp"
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2017-11-05 21:48:40 +08:00
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namespace opencv_test { namespace {
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2011-02-10 04:55:11 +08:00
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2018-09-03 22:18:10 +08:00
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BIGDATA_TEST(Imgproc_DistanceTransform, large_image_12218)
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{
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const int lls_maxcnt = 79992000; // labels's maximum count
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const int lls_mincnt = 1; // labels's minimum count
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int i, j, nz;
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Mat src(8000, 20000, CV_8UC1), dst, labels;
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for( i = 0; i < src.rows; i++ )
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for( j = 0; j < src.cols; j++ )
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src.at<uchar>(i, j) = (j > (src.cols / 2)) ? 0 : 255;
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distanceTransform(src, dst, labels, cv::DIST_L2, cv::DIST_MASK_3, DIST_LABEL_PIXEL);
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double scale = (double)lls_mincnt / (double)lls_maxcnt;
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labels.convertTo(labels, CV_32SC1, scale);
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Size size = labels.size();
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nz = cv::countNonZero(labels);
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EXPECT_EQ(nz, (size.height*size.width / 2));
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}
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2017-11-05 21:48:40 +08:00
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}} // namespace
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