mask.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>
using namespace cv;
namespace br
{
/*!
* \ingroup transforms
* \brief Applies an eliptical mask
* \author Josh Klontz \cite jklontz
*/
class MaskTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
const Mat &m = src;
Mat mask(m.size(), CV_8UC1);
mask.setTo(1);
const float SCALE = 1.1;
ellipse(mask, RotatedRect(Point2f(m.cols/2, m.rows/2), Size2f(SCALE*m.cols, SCALE*m.rows), 0), 0, -1);
dst = m.clone();
dst.m().setTo(0, mask);
}
};
BR_REGISTER(Transform, MaskTransform)
/*!
* \ingroup transforms
* \brief Masks image according to pixel change.
* \author Josh Klontz \cite jklontz
*/
class GradientMaskTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(int delta READ get_delta WRITE set_delta RESET reset_delta STORED false)
BR_PROPERTY(int, delta, 1)
void project(const Template &src, Template &dst) const
{
const Mat &m = src.m();
if (m.type() != CV_8UC1) qFatal("Requires 8UC1 matrices.");
Mat n = Mat(m.rows, m.cols, CV_8UC1);
n.setTo(255);
for (int i=0; i<m.rows; i++) {
for (int j=0; j<m.cols; j++) {
if ((i>0) && (abs(m.at<quint8>(i-1,j)-m.at<quint8>(i,j)) > delta)) { n.at<quint8>(i,j) = 0; continue; }
if ((j+1<m.cols) && (abs(m.at<quint8>(i,j+1)-m.at<quint8>(i,j)) > delta)) { n.at<quint8>(i,j) = 0; continue; }
if ((i+1<m.rows) && (abs(m.at<quint8>(i+1,j)-m.at<quint8>(i,j)) > delta)) { n.at<quint8>(i,j) = 0; continue; }
if ((j>0) && (abs(m.at<quint8>(i,j-1)-m.at<quint8>(i,j)) > delta)) { n.at<quint8>(i,j) = 0; continue; }
}
}
dst = n;
}
};
BR_REGISTER(Transform, GradientMaskTransform)
/*!
* \ingroup transforms
* \brief http://worldofcameras.wordpress.com/tag/skin-detection-opencv/
* \author Josh Klontz \cite jklontz
*/
class SkinMaskTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
Mat m;
cvtColor(src, m, CV_BGR2YCrCb);
std::vector<Mat> mv;
split(m, mv);
Mat mask = Mat(m.rows, m.cols, CV_8UC1);
for (int i=0; i<m.rows; i++) {
for (int j=0; j<m.cols; j++) {
int Cr= mv[1].at<quint8>(i,j);
int Cb =mv[2].at<quint8>(i,j);
mask.at<quint8>(i, j) = (Cr>130 && Cr<170) && (Cb>70 && Cb<125) ? 255 : 0;
}
}
dst = mask;
}
};
BR_REGISTER(Transform, SkinMaskTransform)
/*!
* \ingroup transforms
* \brief Morphological operator
* \author Josh Klontz \cite jklontz
*/
class MorphTransform : public UntrainableTransform
{
Q_OBJECT
Q_ENUMS(Op)
Q_PROPERTY(Op op READ get_op WRITE set_op RESET reset_op STORED false)
Q_PROPERTY(int radius READ get_radius WRITE set_radius RESET reset_radius STORED false)
public:
/*!< */
enum Op { Erode = MORPH_ERODE,
Dilate = MORPH_DILATE,
Open = MORPH_OPEN,
Close = MORPH_CLOSE,
Gradient = MORPH_GRADIENT,
TopHat = MORPH_TOPHAT,
BlackHat = MORPH_BLACKHAT };
private:
BR_PROPERTY(Op, op, Close)
BR_PROPERTY(int, radius, 1)
Mat kernel;
void init()
{
Mat kernel = Mat(radius, radius, CV_8UC1);
kernel.setTo(255);
}
void project(const Template &src, Template &dst) const
{
morphologyEx(src, dst, op, kernel);
}
};
BR_REGISTER(Transform, MorphTransform)
/*!
* \ingroup transforms
* \brief Set the template's label to the area of the largest convex hull.
* \author Josh Klontz \cite jklontz
*/
class LargestConvexAreaTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
std::vector< std::vector<Point> > contours;
findContours(src.clone(), contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
double maxArea = 0;
foreach (const std::vector<Point> &contour, contours) {
std::vector<Point> hull;
convexHull(contour, hull);
double area = contourArea(contour);
double hullArea = contourArea(hull);
if (area / hullArea > 0.98)
maxArea = std::max(maxArea, area);
}
dst.file.setLabel(maxArea);
}
};
BR_REGISTER(Transform, LargestConvexAreaTransform)
} // namespace br
#include "mask.moc"