Refactored histogram to support horizontal histograms

This commit is contained in:
Matt Hill
2015-09-20 21:04:55 -04:00
parent 7b59d3a238
commit 75c6784369
9 changed files with 465 additions and 294 deletions

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@@ -18,7 +18,9 @@ set(lpr_source_files
postprocess/regexrule.cpp
binarize_wolf.cpp
segmentation/charactersegmenter.cpp
segmentation/verticalhistogram.cpp
segmentation/histogram.cpp
segmentation/histogramvertical.cpp
segmentation/histogramhorizontal.cpp
edges/edgefinder.cpp
edges/platecorners.cpp
edges/platelines.cpp

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@@ -0,0 +1,259 @@
/*
* Copyright (c) 2015 OpenALPR Technology, Inc.
* Open source 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 "histogram.h"
using namespace cv;
using namespace std;
namespace alpr
{
Histogram::Histogram()
{
}
Histogram::~Histogram()
{
histoImg.release();
colHeights.clear();
}
void Histogram::analyzeImage(cv::Mat inputImage, cv::Mat mask, bool use_y_axis)
{
int max_col_size = 0;
int columnCount;
if (use_y_axis)
{
// Calculate the histogram for vertical stripes
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 > max_col_size)
max_col_size = columnCount;
}
}
else
{
// Calculate the histogram for horizontal stripes
for (int row = 0; row < inputImage.rows; row++)
{
columnCount = 0;
for (int col = 0; col < inputImage.cols; col++)
{
if (inputImage.at<uchar>(row, col) > 0 && mask.at<uchar>(row, col) > 0)
columnCount++;
}
this->colHeights.push_back(columnCount);
if (columnCount > max_col_size)
max_col_size = columnCount;
}
}
drawAndWait(inputImage);
int histo_width = this->colHeights.size();
int histo_height = max_col_size + 10;
histoImg = Mat::zeros(Size(histo_width, histo_height), CV_8U);
// Draw the columns onto an Mat image
for (unsigned int col = 0; col < histoImg.cols; col++)
{
if (col >= this->colHeights.size())
break;
int columnCount = this->colHeights[col];
for (; columnCount > 0; columnCount--)
histoImg.at<uchar>(histo_height - columnCount, col) = 255;
}
drawAndWait(histoImg);
}
int Histogram::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 Histogram::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 Histogram::getHeightAt(int x)
{
return colHeights[x];
}
int Histogram::detect_peak(
const double* data, /* the data */
int data_count, /* row count of data */
int* emi_peaks, /* emission peaks will be put here */
int* num_emi_peaks, /* number of emission peaks found */
int max_emi_peaks, /* maximum number of emission peaks */
int* absop_peaks, /* absorption peaks will be put here */
int* num_absop_peaks, /* number of absorption peaks found */
int max_absop_peaks, /* maximum number of absorption peaks
*/
double delta, /* delta used for distinguishing peaks */
int emi_first /* should we search emission peak first of
absorption peak first? */
)
{
int i;
double mx;
double mn;
int mx_pos = 0;
int mn_pos = 0;
int is_detecting_emi = emi_first;
mx = data[0];
mn = data[0];
*num_emi_peaks = 0;
*num_absop_peaks = 0;
for(i = 1; i < data_count; ++i)
{
if(data[i] > mx)
{
mx_pos = i;
mx = data[i];
}
if(data[i] < mn)
{
mn_pos = i;
mn = data[i];
}
if(is_detecting_emi &&
data[i] < mx - delta)
{
if(*num_emi_peaks >= max_emi_peaks) /* not enough spaces */
return 1;
emi_peaks[*num_emi_peaks] = mx_pos;
++ (*num_emi_peaks);
is_detecting_emi = 0;
i = mx_pos - 1;
mn = data[mx_pos];
mn_pos = mx_pos;
}
else if((!is_detecting_emi) &&
data[i] > mn + delta)
{
if(*num_absop_peaks >= max_absop_peaks)
return 2;
absop_peaks[*num_absop_peaks] = mn_pos;
++ (*num_absop_peaks);
is_detecting_emi = 1;
i = mn_pos - 1;
mx = data[mn_pos];
mx_pos = mn_pos;
}
}
return 0;
}
vector<pair<int, int> > Histogram::get1DHits(int yOffset)
{
vector<pair<int,int> > hits;
bool onSegment = false;
int curSegmentLength = 0;
for (int col = 0; col < histoImg.cols; col++)
{
bool isOn = histoImg.at<uchar>(histoImg.rows - 1 - yOffset, col);
if (isOn)
{
// We're on a segment. Increment the length
onSegment = true;
curSegmentLength++;
}
if (onSegment && (isOn == false || (col == histoImg.cols - 1)))
{
// A segment just ended or we're at the very end of the row and we're on a segment
pair<int, int> pair(col - curSegmentLength, col);
hits.push_back(pair);
onSegment = false;
curSegmentLength = 0;
}
}
return hits;
}
}

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@@ -0,0 +1,60 @@
/*
* Copyright (c) 2015 OpenALPR Technology, Inc.
* Open source 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_HISTOGRAM_H
#define OPENALPR_HISTOGRAM_H
#include "opencv2/imgproc/imgproc.hpp"
#include "utility.h"
namespace alpr
{
class Histogram
{
public:
Histogram();
virtual ~Histogram();
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);
std::vector<std::pair<int, int> > get1DHits(int yOffset);
protected:
std::vector<int> colHeights;
void analyzeImage(cv::Mat inputImage, cv::Mat mask, bool use_y_axis);
int detect_peak(const double *data, int data_count, int *emi_peaks,
int *num_emi_peaks, int max_emi_peaks, int *absop_peaks,
int *num_absop_peaks, int max_absop_peaks, double delta,
int emi_first);
};
}
#endif //OPENALPR_HISTOGRAM_H

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@@ -0,0 +1,28 @@
/*
* Copyright (c) 2015 OpenALPR Technology, Inc.
* Open source 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 "histogramhorizontal.h"
namespace alpr
{
HistogramHorizontal::HistogramHorizontal(cv::Mat inputImage, cv::Mat mask) {
analyzeImage(inputImage, mask, false);
}
}

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@@ -0,0 +1,35 @@
/*
* Copyright (c) 2015 OpenALPR Technology, Inc.
* Open source 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_HISTOGRAMHORIZONTAL_H
#define OPENALPR_HISTOGRAMHORIZONTAL_H
#include "opencv2/imgproc/imgproc.hpp"
#include "histogram.h"
namespace alpr
{
class HistogramHorizontal : public Histogram
{
public:
HistogramHorizontal(cv::Mat inputImage, cv::Mat mask);
};
}
#endif //OPENALPR_HISTOGRAMHORIZONTAL_H

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@@ -0,0 +1,37 @@
/*
* Copyright (c) 2015 OpenALPR Technology, Inc.
* Open source 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 "histogramvertical.h"
using namespace cv;
using namespace std;
namespace alpr
{
HistogramVertical::HistogramVertical(Mat inputImage, Mat mask)
{
analyzeImage(inputImage, mask, true);
}
}

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@@ -0,0 +1,43 @@
/*
* Copyright (c) 2015 OpenALPR Technology, Inc.
* Open source 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"
#include "histogram.h"
#include "utility.h"
namespace alpr
{
class HistogramVertical : public Histogram
{
public:
HistogramVertical(cv::Mat inputImage, cv::Mat mask);
};
}
#endif // OPENALPR_VERTICALHISTOGRAM_H

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@@ -1,222 +0,0 @@
/*
* Copyright (c) 2015 OpenALPR Technology, Inc.
* Open source 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;
namespace alpr
{
VerticalHistogram::VerticalHistogram(Mat inputImage, Mat mask)
{
analyzeImage(inputImage, mask);
}
VerticalHistogram::~VerticalHistogram()
{
histoImg.release();
colHeights.clear();
}
void VerticalHistogram::analyzeImage(Mat inputImage, Mat mask)
{
vector<double> data;
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;
data.push_back(columnCount);
for (; columnCount > 0; columnCount--)
histoImg.at<uchar>(inputImage.rows - columnCount, col) = 255;
}
// int MAX_PEAK=200;
// int emi_peaks[MAX_PEAK];
// int absorp_peaks[MAX_PEAK];
// int emi_count = 0;
// int absorp_count = 0;
// double delta = highestPeak * (1.0 / 3.0);
// int emission_first = 0;
//
// detect_peak(data.data(), data.size(), emi_peaks, &emi_count, MAX_PEAK,
// absorp_peaks, &absorp_count, MAX_PEAK,
// delta, emission_first);
//
// Mat colorDebugImg;
// cvtColor(histoImg, colorDebugImg, CV_GRAY2BGR );
//
// for (int i = 0; i < emi_count; i++)
// {
// cout << "EMI PEAK: " << emi_peaks[i] << " : " << data[emi_peaks[i]] << endl;
// circle(colorDebugImg, Point(emi_peaks[i], histoImg.rows - data[emi_peaks[i]]), 2, Scalar(0,255,0), -1);
// }
//
// for (int i = 0; i < absorp_count; i++)
// {
// cout << "ABSORB PEAK: " << absorp_peaks[i] << " : " << data[absorp_peaks[i]] << endl;
// circle(colorDebugImg, Point(absorp_peaks[i], histoImg.rows - data[absorp_peaks[i]]), 2, Scalar(0,0,255), -1);
// }
//
//
// drawAndWait(&colorDebugImg);
}
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];
}
int VerticalHistogram::detect_peak(
const double* data, /* the data */
int data_count, /* row count of data */
int* emi_peaks, /* emission peaks will be put here */
int* num_emi_peaks, /* number of emission peaks found */
int max_emi_peaks, /* maximum number of emission peaks */
int* absop_peaks, /* absorption peaks will be put here */
int* num_absop_peaks, /* number of absorption peaks found */
int max_absop_peaks, /* maximum number of absorption peaks
*/
double delta, /* delta used for distinguishing peaks */
int emi_first /* should we search emission peak first of
absorption peak first? */
)
{
int i;
double mx;
double mn;
int mx_pos = 0;
int mn_pos = 0;
int is_detecting_emi = emi_first;
mx = data[0];
mn = data[0];
*num_emi_peaks = 0;
*num_absop_peaks = 0;
for(i = 1; i < data_count; ++i)
{
if(data[i] > mx)
{
mx_pos = i;
mx = data[i];
}
if(data[i] < mn)
{
mn_pos = i;
mn = data[i];
}
if(is_detecting_emi &&
data[i] < mx - delta)
{
if(*num_emi_peaks >= max_emi_peaks) /* not enough spaces */
return 1;
emi_peaks[*num_emi_peaks] = mx_pos;
++ (*num_emi_peaks);
is_detecting_emi = 0;
i = mx_pos - 1;
mn = data[mx_pos];
mn_pos = mx_pos;
}
else if((!is_detecting_emi) &&
data[i] > mn + delta)
{
if(*num_absop_peaks >= max_absop_peaks)
return 2;
absop_peaks[*num_absop_peaks] = mn_pos;
++ (*num_absop_peaks);
is_detecting_emi = 1;
i = mn_pos - 1;
mx = data[mn_pos];
mx_pos = mn_pos;
}
}
return 0;
}
}

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@@ -1,71 +0,0 @@
/*
* Copyright (c) 2015 OpenALPR Technology, Inc.
* Open source 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"
#include "utility.h"
namespace alpr
{
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);
int detect_peak(const double* data, int data_count, int* emi_peaks,
int* num_emi_peaks, int max_emi_peaks, int* absop_peaks,
int* num_absop_peaks, int max_absop_peaks, double delta,
int emi_first );
};
}
#endif // OPENALPR_VERTICALHISTOGRAM_H