mirror of
https://github.com/kerberos-io/openalpr-base.git
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168 lines
4.6 KiB
C++
168 lines
4.6 KiB
C++
/*
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* Copyright (c) 2014 New Designs Unlimited, LLC
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* Opensource Automated License Plate Recognition [http://www.openalpr.com]
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*
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* This file is part of OpenAlpr.
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*
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* OpenAlpr is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Affero General Public License
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* version 3 as published by the Free Software Foundation
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU Affero General Public License for more details.
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*
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* You should have received a copy of the GNU Affero General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include "detectormorph.h"
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using namespace cv;
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using namespace std;
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namespace alpr
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{
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DetectorMorph::DetectorMorph(Config* config) : Detector(config) {
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this->loaded = true;
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}
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DetectorMorph::~DetectorMorph() {
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}
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vector<PlateRegion> DetectorMorph::detect(Mat frame, std::vector<cv::Rect> regionsOfInterest)
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{
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Mat frame_gray;
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cvtColor(frame, frame_gray, CV_BGR2GRAY);
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vector<PlateRegion> detectedRegions;
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for (int i = 0; i < regionsOfInterest.size(); i++)
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{
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Mat img_sobel, edges, img_open, img_result;
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Mat element = getStructuringElement(MORPH_RECT, Size(30, 4));
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morphologyEx(frame_gray, img_open, CV_MOP_OPEN, element, cv::Point(-1, -1));
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img_result = frame_gray - img_open;
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if (config->debugShowImages)
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{
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imshow("Opening", img_result);
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}
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//threshold image using otsu thresholding
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Mat img_threshold, img_open2;
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threshold(img_result, img_threshold, 0, 255, CV_THRESH_OTSU + CV_THRESH_BINARY);
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if (config->debugShowImages)
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{
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imshow("Threshold Detector", img_threshold);
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}
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Mat circularElement = getStructuringElement(cv::MORPH_ELLIPSE, Size(5, 5));
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morphologyEx(img_threshold, img_open2, CV_MOP_OPEN, circularElement, cv::Point(-1, -1));
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Mat rectElement = getStructuringElement(cv::MORPH_RECT, Size(20, 4));
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morphologyEx(img_open2, img_threshold, CV_MOP_CLOSE, rectElement, cv::Point(-1, -1));
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if (config->debugShowImages)
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{
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imshow("Close", img_threshold);
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waitKey(0);
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}
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//Find contours of possibles plates
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vector< vector< Point> > contours;
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findContours(img_threshold,
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contours, // a vector of contours
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CV_RETR_EXTERNAL, // retrieve the external contours
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CV_CHAIN_APPROX_NONE); // all pixels of each contours
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//Start to iterate to each contour founded
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vector<vector<Point> >::iterator itc = contours.begin();
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vector<RotatedRect> rects;
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//Remove patch that are no inside limits of aspect ratio and area.
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while (itc != contours.end())
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{
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//Create bounding rect of object
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RotatedRect mr = minAreaRect(Mat(*itc));
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if (!CheckSizes(mr))
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itc = contours.erase(itc);
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else
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{
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++itc;
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if (itc == contours.end()) continue;
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rects.push_back(mr);
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}
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}
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//Now prunning based on checking all candidate plates for a min/max number of blobs
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Mat img_crop, img_crop_b;
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vector< vector< Point> > plateBlobs;
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for (int i = 0; i < rects.size(); i++)
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{
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RotatedRect PlateRect = rects[i];
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Size rect_size = PlateRect.size;
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//Crop area around candidate plate
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getRectSubPix(frame_gray, rect_size, PlateRect.center, img_crop);
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//Thresholding
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threshold(img_crop, img_crop_b, 0, 255, cv::THRESH_BINARY_INV + cv::THRESH_OTSU);
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findContours(img_crop_b,
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plateBlobs, // a vector of contours
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CV_RETR_EXTERNAL, // retrieve the external contours
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CV_CHAIN_APPROX_NONE); // all pixels of each contours
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int numBlobs = plateBlobs.size();
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//If too much or too little might not be a true plate
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if (numBlobs < 3 || numBlobs > 20) continue;
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PlateRegion PlateReg;
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PlateReg.rect = PlateRect.boundingRect();
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detectedRegions.push_back(PlateReg);
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}
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}
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return detectedRegions;
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}
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bool DetectorMorph::CheckSizes(RotatedRect& mr)
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{
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float error = 1.2;
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float aspect = config->plateWidthMM / config->plateHeightMM;
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//Set a min and max area. All other patchs are discarded
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int min = 10 * aspect * 10; // minimum area
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int max = 100 * aspect * 100; // maximum area
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//Get only patchs that match to a respect ratio.
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float rmin = 3.0;
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float rmax = 7.0;
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int area = mr.size.height * mr.size.width;
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float r = (float)mr.size.width / (float)mr.size.height;
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if (r<1)
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r = (float)mr.size.height / (float)mr.size.width;
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if ((area < min || area > max) || (r < rmin || r > rmax) ||
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(mr.size.width < 20 || mr.size.width > 300) )
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return false;
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else
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return true;
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}
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}
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