hist.cpp
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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* Copyright 2012 The MITRE Corporation *
* *
* Licensed under the Apache License, Version 2.0 (the "License"); *
* you may not use this file except in compliance with the License. *
* You may obtain a copy of the License at *
* *
* http://www.apache.org/licenses/LICENSE-2.0 *
* *
* Unless required by applicable law or agreed to in writing, software *
* distributed under the License is distributed on an "AS IS" BASIS, *
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. *
* See the License for the specific language governing permissions and *
* limitations under the License. *
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
#include <opencv2/imgproc/imgproc.hpp>
#include <openbr_plugin.h>
#include "core/common.h"
#include "core/opencvutils.h"
using namespace cv;
namespace br
{
/*!
* \ingroup transforms
* \brief Histograms the matrix
* \author Josh Klontz \cite jklontz
*/
class HistTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(float max READ get_max WRITE set_max RESET reset_max STORED false)
Q_PROPERTY(float min READ get_min WRITE set_min RESET reset_min STORED false)
Q_PROPERTY(int dims READ get_dims WRITE set_dims RESET reset_dims STORED false)
BR_PROPERTY(float, max, 256)
BR_PROPERTY(float, min, 0)
BR_PROPERTY(int, dims, -1)
void project(const Template &src, Template &dst) const
{
const int dims = this->dims == -1 ? max - min : this->dims;
std::vector<Mat> mv;
split(src, mv);
Mat m(mv.size(), dims, CV_32FC1);
for (size_t i=0; i<mv.size(); i++) {
int channels[] = {0};
int histSize[] = {dims};
float range[] = {min, max};
const float* ranges[] = {range};
Mat hist;
calcHist(&mv[i], 1, channels, Mat(), hist, 1, histSize, ranges);
memcpy(m.ptr(i), hist.ptr(), dims * sizeof(float));
}
dst += m;
}
};
BR_REGISTER(Transform, HistTransform)
/*!
* \ingroup transforms
* \brief Quantizes the values into bins.
* \author Josh Klontz \cite jklontz
*/
class BinTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(float min READ get_min WRITE set_min RESET reset_min STORED false)
Q_PROPERTY(float max READ get_max WRITE set_max RESET reset_max STORED false)
Q_PROPERTY(int bins READ get_bins WRITE set_bins RESET reset_bins STORED false)
Q_PROPERTY(bool split READ get_split WRITE set_split RESET reset_split STORED false)
BR_PROPERTY(float, min, 0)
BR_PROPERTY(float, max, 255)
BR_PROPERTY(int, bins, 8)
BR_PROPERTY(bool, split, false)
void project(const Template &src, Template &dst) const
{
src.m().convertTo(dst, bins > 256 ? CV_16U : CV_8U, bins/(max-min), -0.5 /* floor */);
if (!split) return;
Mat input = dst;
QList<Mat> outputs; outputs.reserve(bins);
for (int i=0; i<bins; i++)
outputs.append(input == i); // Note: Matrix elements are 0 or 255
dst.clear(); dst.append(outputs);
}
};
BR_REGISTER(Transform, BinTransform)
/*!
* \ingroup transforms
* \brief Converts each element to its rank-ordered value.
* \author Josh Klontz \cite jklontz
*/
class RankTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
const Mat &m = src;
assert(m.channels() == 1);
dst = Mat(m.rows, m.cols, CV_32FC1);
typedef QPair<float,int> Tuple;
QList<Tuple> tuples = Common::Sort(OpenCVUtils::matrixToVector(m));
float prevValue = 0;
int prevRank = 0;
for (int i=0; i<tuples.size(); i++) {
int rank;
if (tuples[i].first == prevValue) rank = prevRank;
else rank = i;
dst.m().at<float>(tuples[i].second / m.cols, tuples[i].second % m.cols) = rank;
prevValue = tuples[i].first;
prevRank = rank;
}
}
};
BR_REGISTER(Transform, RankTransform)
/*!
* \ingroup transforms
* \brief An integral histogram
* \author Josh Klontz \cite jklontz
*/
class IntegralHistTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(int bins READ get_bins WRITE set_bins RESET reset_bins STORED false)
Q_PROPERTY(int radius READ get_radius WRITE set_radius RESET reset_radius STORED false)
BR_PROPERTY(int, bins, 256)
BR_PROPERTY(int, radius, 16)
void project(const Template &src, Template &dst) const
{
const Mat &m = src.m();
if (m.type() != CV_8UC1) qFatal("IntegralHist requires 8UC1 matrices.");
Mat integral(m.rows/radius+1, (m.cols/radius+1)*bins, CV_32SC1);
integral.setTo(0);
for (int i=1; i<integral.rows; i++) {
for (int j=1; j<integral.cols; j+=bins) {
for (int k=0; k<bins; k++) integral.at<qint32>(i, j+k) += integral.at<qint32>(i-1, j +k);
for (int k=0; k<bins; k++) integral.at<qint32>(i, j+k) += integral.at<qint32>(i , j-bins+k);
for (int k=0; k<bins; k++) integral.at<qint32>(i, j+k) -= integral.at<qint32>(i-1, j-bins+k);
for (int k=0; k<radius; k++)
for (int l=0; l<radius; l++)
integral.at<qint32>(i, j+m.at<quint8>((i-1)*radius+k,(j/bins-1)*radius+l))++;
}
}
dst = integral;
}
};
BR_REGISTER(Transform, IntegralHistTransform)
} // namespace br
#include "hist.moc"