Added detection of asymmetric circles' pattern
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@@ -1,47 +1,53 @@
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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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// 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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//
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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 "precomp.hpp"
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//#define DEBUG_BLOB_DETECTOR
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#ifdef DEBUG_BLOB_DETECTOR
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#include <opencv2/highgui/highgui.hpp>
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#endif
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using namespace cv;
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/*
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@@ -116,17 +122,19 @@ void SimpleBlobDetector::findBlobs(const cv::Mat &image, const cv::Mat &binaryIm
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{
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centers.clear();
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vector<vector<Point> > contours;
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vector < vector<Point> > contours;
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Mat tmpBinaryImage = binaryImage.clone();
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findContours(tmpBinaryImage, contours, CV_RETR_LIST, CV_CHAIN_APPROX_NONE);
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//Mat keypointsImage;
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//cvtColor( binaryImage, keypointsImage, CV_GRAY2RGB );
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#ifdef DEBUG_BLOB_DETECTOR
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Mat keypointsImage;
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cvtColor( binaryImage, keypointsImage, CV_GRAY2RGB );
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//Mat contoursImage;
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//cvtColor( binaryImage, contoursImage, CV_GRAY2RGB );
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//drawContours( contoursImage, contours, -1, Scalar(0,255,0) );
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//imshow("contours", contoursImage );
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Mat contoursImage;
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cvtColor( binaryImage, contoursImage, CV_GRAY2RGB );
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drawContours( contoursImage, contours, -1, Scalar(0,255,0) );
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imshow("contours", contoursImage );
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#endif
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for (size_t contourIdx = 0; contourIdx < contours.size(); contourIdx++)
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{
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@@ -178,7 +186,7 @@ void SimpleBlobDetector::findBlobs(const cv::Mat &image, const cv::Mat &binaryIm
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if (params.filterByConvexity)
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{
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vector<Point> hull;
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vector < Point > hull;
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convexHull(Mat(contours[contourIdx]), hull);
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double area = contourArea(Mat(contours[contourIdx]));
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double hullArea = contourArea(Mat(hull));
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@@ -212,14 +220,19 @@ void SimpleBlobDetector::findBlobs(const cv::Mat &image, const cv::Mat &binaryIm
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centers.push_back(center);
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//circle( keypointsImage, center.location, 1, Scalar(0,0,255), 1 );
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#ifdef DEBUG_BLOB_DETECTOR
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circle( keypointsImage, center.location, 1, Scalar(0,0,255), 1 );
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#endif
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}
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//imshow("bk", keypointsImage );
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//waitKey();
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#ifdef DEBUG_BLOB_DETECTOR
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imshow("bk", keypointsImage );
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waitKey();
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#endif
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}
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void SimpleBlobDetector::detectImpl(const cv::Mat& image, std::vector<cv::KeyPoint>& keypoints, const cv::Mat& mask) const
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void SimpleBlobDetector::detectImpl(const cv::Mat& image, std::vector<cv::KeyPoint>& keypoints, const cv::Mat&) const
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{
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//TODO: support mask
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keypoints.clear();
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Mat grayscaleImage;
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if (image.channels() == 3)
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@@ -227,7 +240,7 @@ void SimpleBlobDetector::detectImpl(const cv::Mat& image, std::vector<cv::KeyPoi
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else
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grayscaleImage = image;
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vector<vector<Center> > centers;
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vector < vector<Center> > centers;
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for (double thresh = params.minThreshold; thresh < params.maxThreshold; thresh += params.thresholdStep)
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{
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Mat binarizedImage;
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@@ -236,8 +249,9 @@ void SimpleBlobDetector::detectImpl(const cv::Mat& image, std::vector<cv::KeyPoi
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//Mat keypointsImage;
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//cvtColor( binarizedImage, keypointsImage, CV_GRAY2RGB );
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vector<Center> curCenters;
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vector < Center > curCenters;
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findBlobs(grayscaleImage, binarizedImage, curCenters);
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vector < vector<Center> > newCenters;
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for (size_t i = 0; i < curCenters.size(); i++)
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{
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//circle(keypointsImage, curCenters[i].location, 1, Scalar(0,0,255),-1);
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@@ -262,9 +276,12 @@ void SimpleBlobDetector::detectImpl(const cv::Mat& image, std::vector<cv::KeyPoi
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}
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if (isNew)
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{
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centers.push_back(vector<Center> (1, curCenters[i]));
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newCenters.push_back(vector<Center> (1, curCenters[i]));
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//centers.push_back(vector<Center> (1, curCenters[i]));
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}
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}
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std::copy(newCenters.begin(), newCenters.end(), std::back_inserter(centers));
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//imshow("binarized", keypointsImage );
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//waitKey();
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}
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