ThresholdToPointSetExample.cxxΒΆ
Example usage:
./ThresholdToPointSetExample Input/ROISpot5.png 250 252
Example source code (ThresholdToPointSetExample.cxx):
/*
* Copyright (C) 1999-2011 Insight Software Consortium
* Copyright (C) 2005-2022 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* 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.
*/
// Sometimes, it may be more valuable not to get an image from the threshold
// step but rather a list of coordinates. This can be done with the
// \doxygen{otb}{ThresholdImageToPointSetFilter}.
//
// The following example illustrates the use of the
// \doxygen{otb}{ThresholdImageToPointSetFilter} which provide a list of points
// within given thresholds. Points set are described in section
// \ref{sec:PointSetSection} on page \pageref{sec:PointSetSection}.
#include "otbImage.h"
#include "otbImageFileReader.h"
// The first step required to use this filter is to include the header
#include "otbThresholdImageToPointSetFilter.h"
int main(int argc, char* argv[])
{
if (argc < 3)
{
std::cerr << "Usage: " << argv[0] << " inputImageFile ";
std::cerr << " lowerThreshold upperThreshold" << std::endl;
return EXIT_FAILURE;
}
// The next step is to decide which pixel types to use for the input image
// and the Point Set as well as their dimension.
using PixelType = unsigned char;
const unsigned int Dimension = 2;
using ImageType = otb::Image<PixelType, Dimension>;
using PointSetType = itk::PointSet<PixelType, Dimension>;
// A reader is instantiated to read the input image
using ReaderType = otb::ImageFileReader<ImageType>;
ReaderType::Pointer reader = ReaderType::New();
const char* filenamereader = argv[1];
reader->SetFileName(filenamereader);
// We get the parameters from the command line for the threshold filter. The
// lower and upper thresholds parameters are similar to those of the
// \doxygen{itk}{BinaryThresholdImageFilter} (see Section
// \ref{sec:BinaryThresholdingImageFilter} on page
// \pageref{sec:BinaryThresholdingImageFilter} for more information).
int lowerThreshold = atoi(argv[2]);
int upperThreshold = atoi(argv[3]);
// Then we create the ThresholdImageToPointSetFilter and we pass the
// parameters.
using FilterThresholdType = otb::ThresholdImageToPointSetFilter<ImageType, PointSetType>;
FilterThresholdType::Pointer filterThreshold = FilterThresholdType::New();
filterThreshold->SetLowerThreshold(lowerThreshold);
filterThreshold->SetUpperThreshold(upperThreshold);
filterThreshold->SetInput(0, reader->GetOutput());
// To manipulate and display the result of this filter, we manually
// instantiate a point set and we call the \code{Update()} method on the
// threshold filter to trigger the pipeline execution.
//
// After this step, the \code{pointSet} variable contains the point set.
PointSetType::Pointer pointSet = PointSetType::New();
pointSet = filterThreshold->GetOutput();
filterThreshold->Update();
// To display each point, we create an iterator on the list of points,
// which is accessible through the method \code{GetPoints()} of the PointSet.
using ContainerType = PointSetType::PointsContainer;
ContainerType* pointsContainer = pointSet->GetPoints();
using IteratorType = ContainerType::Iterator;
IteratorType itList = pointsContainer->Begin();
// A while loop enable us to through the list a display the coordinate of
// each point.
while (itList != pointsContainer->End())
{
std::cout << itList.Value() << std::endl;
++itList;
}
return EXIT_SUCCESS;
}