Moved character segmentation code to its own directory

Conflicts:

	src/openalpr/CMakeLists.txt
This commit is contained in:
Matt Hill
2014-06-29 13:16:32 -04:00
parent 43b025b623
commit 344b51ead8
7 changed files with 4 additions and 4 deletions

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/*
* 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 <http://www.gnu.org/licenses/>.
*/
#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"
//const float MIN_BOX_WIDTH_PX = 4; // 4 pixels
const cv::Scalar COLOR_DEBUG_EDGE(0,0,255); // Red
const cv::Scalar COLOR_DEBUG_SPECKLES(0,0,255); // Red
const cv::Scalar COLOR_DEBUG_MIN_HEIGHT(255,0,0); // Blue
const cv::Scalar COLOR_DEBUG_MIN_AREA(255,0,0); // Blue
const cv::Scalar COLOR_DEBUG_FULLBOX(255,255,0); // Blue-green
const cv::Scalar COLOR_DEBUG_COLORFILTER(255,0,255); // Magenta
const cv::Scalar COLOR_DEBUG_EMPTYFILTER(0,255,255); // Yellow
class CharacterSegmenter
{
public:
CharacterSegmenter(PipelineData* pipeline_data);
virtual ~CharacterSegmenter();
int confidence;
private:
Config* config;
PipelineData* pipeline_data;
CharacterAnalysis* charAnalysis;
LineSegment top;
LineSegment bottom;
std::vector<cv::Mat> imgDbgGeneral;
std::vector<cv::Mat> imgDbgCleanStages;
std::vector<bool> filter(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy);
std::vector<bool> filterByBoxSize(std::vector< std::vector<cv::Point> > contours, std::vector<bool> goodIndices, float minHeightPx, float maxHeightPx);
std::vector<bool> filterBetweenLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<cv::Point> outerPolygon, std::vector<bool> goodIndices);
std::vector<bool> filterContourHoles(std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
std::vector<cv::Point> getBestVotedLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices);
int getGoodIndicesCount(std::vector<bool> goodIndices);
cv::Mat getCharacterMask(cv::Mat img_threshold, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
cv::Mat getCharBoxMask(cv::Mat img_threshold, std::vector<cv::Rect> charBoxes);
void removeSmallContours(std::vector<cv::Mat> thresholds, std::vector<std::vector<std::vector<cv::Point > > > allContours, float avgCharWidth, float avgCharHeight);
cv::Mat getVerticalHistogram(cv::Mat img, cv::Mat mask);
std::vector<cv::Rect> getHistogramBoxes(VerticalHistogram histogram, float avgCharWidth, float avgCharHeight, float* score);
std::vector<cv::Rect> getBestCharBoxes(cv::Mat img, std::vector<cv::Rect> charBoxes, float avgCharWidth);
std::vector<cv::Rect> combineCloseBoxes( std::vector<cv::Rect> charBoxes, float avgCharWidth);
std::vector<cv::Rect> get1DHits(cv::Mat img, int yOffset);
void cleanCharRegions(std::vector<cv::Mat> thresholds, std::vector<cv::Rect> charRegions);
void cleanBasedOnColor(std::vector<cv::Mat> thresholds, cv::Mat colorMask, std::vector<cv::Rect> charRegions);
void cleanMostlyFullBoxes(std::vector<cv::Mat> thresholds, const std::vector<cv::Rect> charRegions);
std::vector<cv::Rect> filterMostlyEmptyBoxes(std::vector<cv::Mat> thresholds, const std::vector<cv::Rect> charRegions);
void filterEdgeBoxes(std::vector<cv::Mat> thresholds, const std::vector<cv::Rect> charRegions, float avgCharWidth, float avgCharHeight);
int getLongestBlobLengthBetweenLines(cv::Mat img, int col);
int isSkinnyLineInsideBox(cv::Mat threshold, cv::Rect box, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, float avgCharWidth, float avgCharHeight);
std::vector<cv::Point> getEncapsulatingLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices);
};
#endif // OPENALPR_CHARACTERSEGMENTER_H

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/*
* 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 <http://www.gnu.org/licenses/>.
*/
#include "verticalhistogram.h"
using namespace cv;
using namespace std;
VerticalHistogram::VerticalHistogram(Mat inputImage, Mat mask)
{
analyzeImage(inputImage, mask);
}
VerticalHistogram::~VerticalHistogram()
{
histoImg.release();
colHeights.clear();
}
void VerticalHistogram::analyzeImage(Mat inputImage, Mat mask)
{
highestPeak = 0;
lowestValley = inputImage.rows;
histoImg = Mat::zeros(inputImage.size(), CV_8U);
int columnCount;
for (int col = 0; col < inputImage.cols; col++)
{
columnCount = 0;
for (int row = 0; row < inputImage.rows; row++)
{
if (inputImage.at<uchar>(row, col) > 0 && mask.at<uchar>(row, col) > 0)
columnCount++;
}
this->colHeights.push_back(columnCount);
if (columnCount < lowestValley)
lowestValley = columnCount;
if (columnCount > highestPeak)
highestPeak = columnCount;
for (; columnCount > 0; columnCount--)
histoImg.at<uchar>(inputImage.rows - columnCount, col) = 255;
}
}
int VerticalHistogram::getLocalMinimum(int leftX, int rightX)
{
int minimum = histoImg.rows + 1;
int lowestX = leftX;
for (int i = leftX; i <= rightX; i++)
{
if (colHeights[i] < minimum)
{
lowestX = i;
minimum = colHeights[i];
}
}
return lowestX;
}
int VerticalHistogram::getLocalMaximum(int leftX, int rightX)
{
int maximum = -1;
int highestX = leftX;
for (int i = leftX; i <= rightX; i++)
{
if (colHeights[i] > maximum)
{
highestX = i;
maximum = colHeights[i];
}
}
return highestX;
}
int VerticalHistogram::getHeightAt(int x)
{
return colHeights[x];
}
void VerticalHistogram::findValleys()
{
int MINIMUM_PEAK_HEIGHT = (int) (((float) highestPeak) * 0.75);
int totalWidth = colHeights.size();
int midpoint = ((highestPeak - lowestValley) / 2) + lowestValley;
HistogramDirection prevDirection = FALLING;
int relativePeakHeight = 0;
int valleyStart = 0;
for (int i = 0; i < totalWidth; i++)
{
bool aboveMidpoint = (colHeights[i] >= midpoint);
if (aboveMidpoint)
{
if (colHeights[i] > relativePeakHeight)
relativePeakHeight = colHeights[i];
prevDirection = FLAT;
}
else
{
relativePeakHeight = 0;
HistogramDirection direction = getHistogramDirection(i);
if ((prevDirection == FALLING || prevDirection == FLAT) && direction == RISING)
{
}
else if ((prevDirection == FALLING || prevDirection == FLAT) && direction == RISING)
{
}
}
}
}
HistogramDirection VerticalHistogram::getHistogramDirection(int index)
{
int EXTRA_WIDTH_TO_AVERAGE = 2;
float trailingAverage = 0;
float forwardAverage = 0;
int trailStartIndex = index - EXTRA_WIDTH_TO_AVERAGE;
if (trailStartIndex < 0)
trailStartIndex = 0;
int forwardEndIndex = index + EXTRA_WIDTH_TO_AVERAGE;
if (forwardEndIndex >= colHeights.size())
forwardEndIndex = colHeights.size() - 1;
for (int i = index; i >= trailStartIndex; i--)
{
trailingAverage += colHeights[i];
}
trailingAverage = trailingAverage / ((float) (1 + index - trailStartIndex));
for (int i = index; i <= forwardEndIndex; i++)
{
forwardAverage += colHeights[i];
}
forwardAverage = forwardAverage / ((float) (1 + forwardEndIndex - index));
float diff = forwardAverage - trailingAverage;
float minDiff = ((float) (highestPeak - lowestValley)) * 0.10;
if (diff > minDiff)
return RISING;
else if (diff < minDiff)
return FALLING;
else
return FLAT;
}

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/*
* 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 <http://www.gnu.org/licenses/>.
*/
#ifndef OPENALPR_VERTICALHISTOGRAM_H
#define OPENALPR_VERTICALHISTOGRAM_H
#include "opencv2/imgproc/imgproc.hpp"
struct Valley
{
int startIndex;
int endIndex;
int width;
int pixelsWithin;
};
enum HistogramDirection { RISING, FALLING, FLAT };
class VerticalHistogram
{
public:
VerticalHistogram(cv::Mat inputImage, cv::Mat mask);
virtual ~VerticalHistogram();
cv::Mat histoImg;
// Returns the lowest X position between two points.
int getLocalMinimum(int leftX, int rightX);
// Returns the highest X position between two points.
int getLocalMaximum(int leftX, int rightX);
int getHeightAt(int x);
private:
std::vector<int> colHeights;
int highestPeak;
int lowestValley;
std::vector<Valley> valleys;
void analyzeImage(cv::Mat inputImage, cv::Mat mask);
void findValleys();
HistogramDirection getHistogramDirection(int index);
};
#endif // OPENALPR_VERTICALHISTOGRAM_H