crop.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_internal.h"
#include "openbr/core/opencvutils.h"
using namespace cv;
namespace br
{
/*!
* \ingroup transforms
* \brief Crops about the specified region of interest.
* \author Josh Klontz \cite jklontz
*/
class CropTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(int x READ get_x WRITE set_x RESET reset_x STORED false)
Q_PROPERTY(int y READ get_y WRITE set_y RESET reset_y STORED false)
Q_PROPERTY(int width READ get_width WRITE set_width RESET reset_width STORED false)
Q_PROPERTY(int height READ get_height WRITE set_height RESET reset_height STORED false)
BR_PROPERTY(int, x, 0)
BR_PROPERTY(int, y, 0)
BR_PROPERTY(int, width, -1)
BR_PROPERTY(int, height, -1)
void project(const Template &src, Template &dst) const
{
dst = Mat(src, Rect(x, y, width < 1 ? src.m().cols-x-abs(width) : width, height < 1 ? src.m().rows-y-abs(height) : height));
}
};
BR_REGISTER(Transform, CropTransform)
/*!
* \ingroup transforms
* \brief Crops the rectangular regions of interest.
* \author Josh Klontz \cite jklontz
*/
class ROITransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
foreach (const QRectF &rect, src.file.rects())
dst += src.m()(OpenCVUtils::toRect(rect));
}
};
BR_REGISTER(Transform, ROITransform)
/*!
* \ingroup transforms
* \brief Resize the template
* \author Josh Klontz \cite jklontz
* \note Method: Area should be used for shrinking an image, Cubic for slow but accurate enlargment, Bilin for fast enlargement.
*/
class ResizeTransform : public UntrainableTransform
{
Q_OBJECT
Q_ENUMS(Method)
public:
/*!< */
enum Method { Near = INTER_NEAREST,
Area = INTER_AREA,
Bilin = INTER_LINEAR,
Cubic = INTER_CUBIC,
Lanczo = INTER_LANCZOS4};
private:
Q_PROPERTY(int rows READ get_rows WRITE set_rows RESET reset_rows STORED false)
Q_PROPERTY(int columns READ get_columns WRITE set_columns RESET reset_columns STORED false)
Q_PROPERTY(Method method READ get_method WRITE set_method RESET reset_method STORED false)
BR_PROPERTY(int, rows, -1)
BR_PROPERTY(int, columns, -1)
BR_PROPERTY(Method, method, Bilin)
void project(const Template &src, Template &dst) const
{
resize(src, dst, Size((columns == -1) ? src.m().cols*rows/src.m().rows : columns, rows), 0, 0, method);
}
};
BR_REGISTER(Transform, ResizeTransform)
/*!
* \ingroup transforms
* \brief Limit the size of the template
* \author Josh Klontz \cite jklontz
*/
class LimitSizeTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(int max READ get_max WRITE set_max RESET reset_max STORED false)
BR_PROPERTY(int, max, -1)
void project(const Template &src, Template &dst) const
{
const Mat &m = src;
if (m.rows > m.cols)
if (m.rows > max) resize(m, dst, Size(std::max(1, m.cols * max / m.rows), max));
else dst = m;
else
if (m.cols > max) resize(m, dst, Size(max, std::max(1, m.rows * max / m.cols)));
else dst = m;
}
};
BR_REGISTER(Transform, LimitSizeTransform)
/*!
* \ingroup transforms
* \brief Enforce a multiple of \em n columns.
* \author Josh Klontz \cite jklontz
*/
class DivTransform : public UntrainableTransform
{
Q_OBJECT
Q_PROPERTY(int n READ get_n WRITE set_n RESET reset_n STORED false)
BR_PROPERTY(int, n, 1)
void project(const Template &src, Template &dst) const
{
dst = Mat(src, Rect(0,0,n*(src.m().cols/n),src.m().rows));
}
};
BR_REGISTER(Transform, DivTransform)
/*!
* \ingroup transforms
* \brief Crop out black borders
* \author Josh Klontz \cite jklontz
*/
class CropBlackTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
Mat gray;
OpenCVUtils::cvtGray(src, gray);
int xStart = 0;
while (xStart < gray.cols) {
if (mean(gray.col(xStart))[0] >= 1) break;
xStart++;
}
int xEnd = gray.cols - 1;
while (xEnd >= 0) {
if (mean(gray.col(xEnd))[0] >= 1) break;
xEnd--;
}
int yStart = 0;
while (yStart < gray.rows) {
if (mean(gray.col(yStart))[0] >= 1) break;
yStart++;
}
int yEnd = gray.rows - 1;
while (yEnd >= 0) {
if (mean(gray.col(yEnd))[0] >= 1) break;
yEnd--;
}
dst = src.m()(Rect(xStart, yStart, xEnd-xStart, yEnd-yStart));
}
};
BR_REGISTER(Transform, CropBlackTransform)
/*!
* \ingroup transforms
* \brief Divide the matrix into 4 smaller matricies of equal size.
* \author Josh Klontz \cite jklontz
*/
class SubdivideTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
const Mat &m = src;
const int subrows = m.rows/2;
const int subcolumns = m.cols/2;
dst.append(Mat(m,Rect(0, 0, subcolumns, subrows)).clone());
dst.append(Mat(m,Rect(subcolumns, 0, subcolumns, subrows)).clone());
dst.append(Mat(m,Rect(0, subrows, subcolumns, subrows)).clone());
dst.append(Mat(m,Rect(subcolumns, subrows, subcolumns, subrows)).clone());
}
};
BR_REGISTER(Transform, SubdivideTransform)
/*!
* \ingroup transforms
* \brief Trim the image so the width and the height are the same size.
* \author Josh Klontz \cite jklontz
*/
class CropSquareTransform : public UntrainableTransform
{
Q_OBJECT
void project(const Template &src, Template &dst) const
{
const Mat &m = src;
const int newSize = min(m.rows, m.cols);
dst = Mat(m, Rect((m.cols-newSize)/2, (m.rows-newSize)/2, newSize, newSize));
}
};
BR_REGISTER(Transform, CropSquareTransform)
} // namespace br
#include "crop.moc"