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184 lines
7.9 KiB
184 lines
7.9 KiB
/*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 "opencv2/highgui.hpp" |
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#include <vector> |
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#include <string> |
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using namespace std; |
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using namespace cv; |
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#undef RENDER_MSERS |
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#define RENDER_MSERS 0 |
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#if defined RENDER_MSERS && RENDER_MSERS |
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static void renderMSERs(const Mat& gray, Mat& img, const vector<vector<Point> >& msers) |
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{ |
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cvtColor(gray, img, COLOR_GRAY2BGR); |
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RNG rng((uint64)1749583); |
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for( int i = 0; i < (int)msers.size(); i++ ) |
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{ |
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uchar b = rng.uniform(0, 256); |
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uchar g = rng.uniform(0, 256); |
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uchar r = rng.uniform(0, 256); |
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Vec3b color(b, g, r); |
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const Point* pt = &msers[i][0]; |
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size_t j, n = msers[i].size(); |
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for( j = 0; j < n; j++ ) |
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img.at<Vec3b>(pt[j]) = color; |
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} |
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} |
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#endif |
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TEST(Features2d_MSER, cases) |
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{ |
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uchar buf[] = |
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{ |
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 255, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 0, 0, 255, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, |
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255 |
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}; |
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Mat big_image = imread(cvtest::TS::ptr()->get_data_path() + "mser/puzzle.png", 0); |
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Mat small_image(14, 26, CV_8U, buf); |
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static const int thresharr[] = { 0, 70, 120, 180, 255 }; |
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const int kDelta = 5; |
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Ptr<MSER> mserExtractor = MSER::create( kDelta ); |
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vector<vector<Point> > msers; |
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vector<Rect> boxes; |
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RNG rng((uint64)123456); |
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for( int i = 0; i < 100; i++ ) |
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{ |
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bool use_big_image = rng.uniform(0, 7) != 0; |
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bool invert = rng.uniform(0, 2) != 0; |
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bool binarize = use_big_image ? rng.uniform(0, 5) != 0 : false; |
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bool blur = rng.uniform(0, 2) != 0; |
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int thresh = thresharr[rng.uniform(0, 5)]; |
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/*if( i == 0 ) |
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{ |
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use_big_image = true; |
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invert = binarize = blur = false; |
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}*/ |
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const Mat& src0 = use_big_image ? big_image : small_image; |
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Mat src = src0.clone(); |
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int kMinArea = use_big_image ? 256 : 10; |
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int kMaxArea = (int)src.total()/4; |
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mserExtractor->setMinArea(kMinArea); |
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mserExtractor->setMaxArea(kMaxArea); |
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if( invert ) |
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bitwise_not(src, src); |
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if( binarize ) |
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threshold(src, src, thresh, 255, THRESH_BINARY); |
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if( blur ) |
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GaussianBlur(src, src, Size(5, 5), 1.5, 1.5); |
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int minRegs = use_big_image ? 7 : 2; |
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int maxRegs = use_big_image ? 1000 : 20; |
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if( binarize && (thresh == 0 || thresh == 255) ) |
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minRegs = maxRegs = 0; |
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mserExtractor->detectRegions( src, msers, boxes ); |
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int nmsers = (int)msers.size(); |
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ASSERT_EQ(nmsers, (int)boxes.size()); |
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if( maxRegs < nmsers || minRegs > nmsers ) |
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{ |
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printf("%d. minArea=%d, maxArea=%d, nmsers=%d, minRegs=%d, maxRegs=%d, " |
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"image=%s, invert=%d, binarize=%d, thresh=%d, blur=%d\n", |
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i, kMinArea, kMaxArea, nmsers, minRegs, maxRegs, use_big_image ? "big" : "small", |
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(int)invert, (int)binarize, thresh, (int)blur); |
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#if defined RENDER_MSERS && RENDER_MSERS |
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Mat image; |
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imshow("source", src); |
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renderMSERs(src, image, msers); |
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imshow("result", image); |
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waitKey(); |
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#endif |
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} |
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ASSERT_LE(minRegs, nmsers); |
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ASSERT_GE(maxRegs, nmsers); |
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} |
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} |
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TEST(Features2d_MSER, history_update_regression) |
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{ |
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String dataPath = cvtest::TS::ptr()->get_data_path() + "mser/"; |
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vector<Mat> tstImages; |
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tstImages.push_back(imread(dataPath + "mser_test.png", IMREAD_GRAYSCALE)); |
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tstImages.push_back(imread(dataPath + "mser_test2.png", IMREAD_GRAYSCALE)); |
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for(size_t j = 0; j < tstImages.size(); j++) |
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{ |
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size_t previous_size = 0; |
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for(int minArea = 100; minArea > 10; minArea--) |
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{ |
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Ptr<MSER> mser = MSER::create(1, minArea, (int)(tstImages[j].cols * tstImages[j].rows * 0.2)); |
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mser->setPass2Only(true); |
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vector<vector<Point> > mserContours; |
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vector<Rect> boxRects; |
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mser->detectRegions(tstImages[j], mserContours, boxRects); |
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ASSERT_LE(previous_size, mserContours.size()); |
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previous_size = mserContours.size(); |
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} |
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} |
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}
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