| /*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" |
| #include "opencv2/highgui.hpp" |
| |
| #include <vector> |
| #include <string> |
| using namespace std; |
| using namespace cv; |
| |
| #undef RENDER_MSERS |
| #define RENDER_MSERS 0 |
| |
| #if defined RENDER_MSERS && RENDER_MSERS |
| static void renderMSERs(const Mat& gray, Mat& img, const vector<vector<Point> >& msers) |
| { |
| cvtColor(gray, img, COLOR_GRAY2BGR); |
| RNG rng((uint64)1749583); |
| for( int i = 0; i < (int)msers.size(); i++ ) |
| { |
| uchar b = rng.uniform(0, 256); |
| uchar g = rng.uniform(0, 256); |
| uchar r = rng.uniform(0, 256); |
| Vec3b color(b, g, r); |
| |
| const Point* pt = &msers[i][0]; |
| size_t j, n = msers[i].size(); |
| for( j = 0; j < n; j++ ) |
| img.at<Vec3b>(pt[j]) = color; |
| } |
| } |
| #endif |
| |
| TEST(Features2d_MSER, cases) |
| { |
| uchar buf[] = |
| { |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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, |
| 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 |
| }; |
| Mat big_image = imread(cvtest::TS::ptr()->get_data_path() + "mser/puzzle.png", 0); |
| Mat small_image(14, 26, CV_8U, buf); |
| static const int thresharr[] = { 0, 70, 120, 180, 255 }; |
| |
| const int kDelta = 5; |
| Ptr<MSER> mserExtractor = MSER::create( kDelta ); |
| vector<vector<Point> > msers; |
| vector<Rect> boxes; |
| |
| RNG rng((uint64)123456); |
| |
| for( int i = 0; i < 100; i++ ) |
| { |
| bool use_big_image = rng.uniform(0, 7) != 0; |
| bool invert = rng.uniform(0, 2) != 0; |
| bool binarize = use_big_image ? rng.uniform(0, 5) != 0 : false; |
| bool blur = rng.uniform(0, 2) != 0; |
| int thresh = thresharr[rng.uniform(0, 5)]; |
| |
| /*if( i == 0 ) |
| { |
| use_big_image = true; |
| invert = binarize = blur = false; |
| }*/ |
| |
| const Mat& src0 = use_big_image ? big_image : small_image; |
| Mat src = src0.clone(); |
| |
| int kMinArea = use_big_image ? 256 : 10; |
| int kMaxArea = (int)src.total()/4; |
| |
| mserExtractor->setMinArea(kMinArea); |
| mserExtractor->setMaxArea(kMaxArea); |
| |
| if( invert ) |
| bitwise_not(src, src); |
| if( binarize ) |
| threshold(src, src, thresh, 255, THRESH_BINARY); |
| if( blur ) |
| GaussianBlur(src, src, Size(5, 5), 1.5, 1.5); |
| |
| int minRegs = use_big_image ? 7 : 2; |
| int maxRegs = use_big_image ? 1000 : 15; |
| if( binarize && (thresh == 0 || thresh == 255) ) |
| minRegs = maxRegs = 0; |
| |
| mserExtractor->detectRegions( src, msers, boxes ); |
| int nmsers = (int)msers.size(); |
| ASSERT_EQ(nmsers, (int)boxes.size()); |
| |
| if( maxRegs < nmsers || minRegs > nmsers ) |
| { |
| printf("%d. minArea=%d, maxArea=%d, nmsers=%d, minRegs=%d, maxRegs=%d, " |
| "image=%s, invert=%d, binarize=%d, thresh=%d, blur=%d\n", |
| i, kMinArea, kMaxArea, nmsers, minRegs, maxRegs, use_big_image ? "big" : "small", |
| (int)invert, (int)binarize, thresh, (int)blur); |
| #if defined RENDER_MSERS && RENDER_MSERS |
| Mat image; |
| imshow("source", src); |
| renderMSERs(src, image, msers); |
| imshow("result", image); |
| waitKey(); |
| #endif |
| } |
| |
| ASSERT_LE(minRegs, nmsers); |
| ASSERT_GE(maxRegs, nmsers); |
| } |
| } |