106 lines
3.3 KiB
C++
106 lines
3.3 KiB
C++
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//--------------------------------------------------------------------------------------------------
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// A demo program of the Extremal Region Filter algorithm described in
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// Neumann L., Matas J.: Real-Time Scene Text Localization and Recognition, CVPR 2012
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//--------------------------------------------------------------------------------------------------
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#include "opencv2/opencv.hpp"
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#include "opencv2/objdetect.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <vector>
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#include <iostream>
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#include <iomanip>
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using namespace std;
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using namespace cv;
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void show_help_and_exit(const char *cmd);
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void groups_draw(Mat &src, vector<Rect> &groups);
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void er_draw(Mat &src, Mat &dst, ERStat& er);
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int main(int argc, const char * argv[])
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{
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if (argc < 2) show_help_and_exit(argv[0]);
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Mat src = imread(argv[1]);
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// Extract channels to be processed individually
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vector<Mat> channels;
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computeNMChannels(src, channels);
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int cn = (int)channels.size();
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// Append negative channels to detect ER- (bright regions over dark background)
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for (int c = 0; c < cn-1; c++)
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channels.push_back(255-channels[c]);
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// Create ERFilter objects with the 1st and 2nd stage default classifiers
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Ptr<ERFilter> er_filter1 = createERFilterNM1(loadClassifierNM1("trained_classifierNM1.xml"),8,0.00025,0.13,0.4,true,0.1);
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Ptr<ERFilter> er_filter2 = createERFilterNM2(loadClassifierNM2("trained_classifierNM2.xml"),0.3);
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vector<vector<ERStat> > regions(channels.size());
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// Apply the default cascade classifier to each independent channel (could be done in parallel)
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for (int c=0; c<(int)channels.size(); c++)
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{
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er_filter1->run(channels[c], regions[c]);
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er_filter2->run(channels[c], regions[c]);
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}
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// Detect character groups
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vector<Rect> groups;
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erGrouping(channels, regions, groups);
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// draw groups
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groups_draw(src, groups);
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imshow("grouping",src);
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waitKey(-1);
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// memory clean-up
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er_filter1.release();
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er_filter2.release();
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regions.clear();
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if (!groups.empty())
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{
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groups.clear();
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}
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}
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// helper functions
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void show_help_and_exit(const char *cmd)
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{
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cout << endl << cmd << endl << endl;
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cout << "Demo program of the Extremal Region Filter algorithm described in " << endl;
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cout << "Neumann L., Matas J.: Real-Time Scene Text Localization and Recognition, CVPR 2012" << endl << endl;
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cout << " Usage: " << cmd << " <input_image> " << endl;
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cout << " Default classifier files (trained_classifierNM*.xml) must be in current directory" << endl << endl;
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exit(-1);
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}
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void groups_draw(Mat &src, vector<Rect> &groups)
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{
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for (int i=groups.size()-1; i>=0; i--)
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{
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if (src.type() == CV_8UC3)
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rectangle(src,groups.at(i).tl(),groups.at(i).br(),Scalar( 0, 255, 255 ), 3, 8 );
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else
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rectangle(src,groups.at(i).tl(),groups.at(i).br(),Scalar( 255 ), 3, 8 );
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}
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}
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void er_draw(Mat &src, Mat &dst, ERStat& er)
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{
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if (er.parent != NULL) // deprecate the root region
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{
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int newMaskVal = 255;
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int flags = 4 + (newMaskVal << 8) + FLOODFILL_FIXED_RANGE + FLOODFILL_MASK_ONLY;
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floodFill(src,dst,Point(er.pixel%src.cols,er.pixel/src.cols),Scalar(255),0,Scalar(er.level),Scalar(0),flags);
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}
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}
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