/*
* Copyright (c) 2013 New Designs Unlimited, LLC
* Opensource Automated License Plate Recognition [http://www.openalpr.com]
*
* This file is part of OpenAlpr.
*
* OpenAlpr is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License
* version 3 as published by the Free Software Foundation
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see .
*/
#ifndef OPENALPR_CHARACTERSEGMENTER_H
#define OPENALPR_CHARACTERSEGMENTER_H
#include "opencv2/imgproc/imgproc.hpp"
#include "constants.h"
#include "binarize_wolf.h"
#include "utility.h"
#include "characterregion.h"
#include "colorfilter.h"
#include "verticalhistogram.h"
#include "config.h"
using namespace cv;
using namespace std;
//const float MIN_BOX_WIDTH_PX = 4; // 4 pixels
const Scalar COLOR_DEBUG_EDGE(0,0,255); // Red
const Scalar COLOR_DEBUG_SPECKLES(0,0,255); // Red
const Scalar COLOR_DEBUG_MIN_HEIGHT(255,0,0); // Blue
const Scalar COLOR_DEBUG_MIN_AREA(255,0,0); // Blue
const Scalar COLOR_DEBUG_FULLBOX(255,255,0); // Blue-green
const Scalar COLOR_DEBUG_COLORFILTER(255,0,255); // Magenta
const Scalar COLOR_DEBUG_EMPTYFILTER(0,255,255); // Yellow
class CharacterSegmenter
{
public:
CharacterSegmenter(Mat img, bool invertedColors, Config* config);
virtual ~CharacterSegmenter();
vector characters;
int confidence;
vector getThresholds();
private:
Config* config;
CharacterAnalysis* charAnalysis;
LineSegment top;
LineSegment bottom;
vector imgDbgGeneral;
vector imgDbgCleanStages;
vector filter(Mat img, vector > contours, vector hierarchy);
vector filterByBoxSize(vector< vector< Point> > contours, vector goodIndices, float minHeightPx, float maxHeightPx);
vector filterBetweenLines(Mat img, vector > contours, vector hierarchy, vector outerPolygon, vector goodIndices);
vector filterContourHoles(vector > contours, vector hierarchy, vector goodIndices);
vector getBestVotedLines(Mat img, vector > contours, vector goodIndices);
int getGoodIndicesCount(vector goodIndices);
Mat getCharacterMask(Mat img_threshold, vector > contours, vector hierarchy, vector goodIndices);
Mat getCharBoxMask(Mat img_threshold, vector charBoxes);
void removeSmallContours(vector thresholds, vector > > allContours, float avgCharWidth, float avgCharHeight);
Mat getVerticalHistogram(Mat img, Mat mask);
vector getHistogramBoxes(VerticalHistogram histogram, float avgCharWidth, float avgCharHeight, float* score);
vector getBestCharBoxes(Mat img, vector charBoxes, float avgCharWidth);
vector combineCloseBoxes( vector charBoxes, float avgCharWidth);
vector get1DHits(Mat img, int yOffset);
void cleanCharRegions(vector thresholds, vector charRegions);
void cleanBasedOnColor(vector thresholds, Mat colorMask, vector charRegions);
void cleanMostlyFullBoxes(vector thresholds, const vector charRegions);
vector filterMostlyEmptyBoxes(vector thresholds, const vector charRegions);
void filterEdgeBoxes(vector thresholds, const vector charRegions, float avgCharWidth, float avgCharHeight);
int getLongestBlobLengthBetweenLines(Mat img, int col);
int isSkinnyLineInsideBox(Mat threshold, Rect box, vector > contours, vector hierarchy, float avgCharWidth, float avgCharHeight);
vector getEncapsulatingLines(Mat img, vector > contours, vector goodIndices);
};
#endif // OPENALPR_CHARACTERSEGMENTER_H