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/*=========================================================================
Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#include "otbImageFileReader.h"
#include "otbVectorDataToMapFilter.h"
#include "otbAlphaBlendingFunctor.h"
#include "itkBinaryFunctorImageFilter.h"
#include "otbImageFileWriter.h"
// Software Guide : BeginCommandLineArgs
// INPUTS: {Scene.png}
// OUTPUTS: {LSDOutput.png}
// Software Guide : EndCommandLineArgs
// Software Guide : BeginLatex
//
// This example illustrates the use of the
// \doxygen{otb}{LineSegmentDetector}\cite{LSD}, also known as {\em Lucy in the
// Sky with Diamonds}.
// This filter is designed to extract segments in mono channel images.
//
// The first step required to use this filter is to include its header file.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include "otbLineSegmentDetector.h"
// Software Guide : EndCodeSnippet
int main(int argc, char * argv[])
{
const char * infname = argv[1];
const char * outfname = argv[2];
typedef unsigned char InputPixelType;
typedef double PrecisionType;
const unsigned int Dimension = 2;
// Software Guide : BeginLatex
//
// As usual, we start by defining the types for the input image and
// the image file reader.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef otb::Image<InputPixelType, Dimension> ImageType;
typedef otb::ImageFileReader<ImageType> ReaderType;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We instantiate the reader and set the file name for the input image.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(infname);
reader->GenerateOutputInformation();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We define now the type for the segment detector filter. It is
// templated over the input image type and the precision with which
// the coordinates of the detected segments will be given. It is
// recommended to set this precision to a real type. The output of the
// filter will be a \doxygen{otb}{VectorData}.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef otb::LineSegmentDetector<ImageType,
PrecisionType> LsdFilterType;
LsdFilterType::Pointer lsdFilter = LsdFilterType::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// In order to be able to display the results, we will draw the
// detected segments on top of the input image. For this matter, we
// will use a \doxygen{otb}{VectorDataToMapFilter} which
// is templated over the input vector data type and the output image
// type, and a combination of a \doxygen{itk}{binaryFunctorImageFilter}
// and the \doxygen{otb}{Functor}{AlphaBlendingFunctor}.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef otb::VectorData<PrecisionType> VectorDataType;
typedef otb::VectorDataToMapFilter<VectorDataType,
ImageType> VectorDataRendererType;
VectorDataRendererType::Pointer vectorDataRenderer = VectorDataRendererType::New();
typedef otb::Functor::AlphaBlendingFunctor<InputPixelType,
InputPixelType, InputPixelType> FunctorType;
typedef itk::BinaryFunctorImageFilter<ImageType, ImageType,
ImageType, FunctorType> BlendingFilterType;
BlendingFilterType::Pointer blendingFilter = BlendingFilterType::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We can now define the type for the writer, instantiate it and set
// the file name for the output image.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef otb::ImageFileWriter<ImageType> WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName(outfname);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We plug the pipeline.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
lsdFilter->SetInput(reader->GetOutput());
vectorDataRenderer->SetInput(lsdFilter->GetOutput());
vectorDataRenderer->SetSize(reader->GetOutput()->GetLargestPossibleRegion().GetSize());
vectorDataRenderer->SetRenderingStyleType(VectorDataRendererType::Binary);
blendingFilter->SetInput1(reader->GetOutput());
blendingFilter->SetInput2(vectorDataRenderer->GetOutput());
blendingFilter->GetFunctor().SetAlpha(0.25);
writer->SetInput(blendingFilter->GetOutput());
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Before calling the \code{Update()} method of the writer in order to
// trigger the pipeline execution, we call the
// \doxygen{GenerateOutputInformation()} of the reader, so the LSD
// filter gets the information about image size and spacing.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
reader->GenerateOutputInformation();
writer->Update();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
// Figure~\ref{fig:LSD} shows the result of applying the line segment
// detection to an image.
// \begin{figure}
// \center
// \includegraphics[width=0.35\textwidth]{Scene.eps}
// \includegraphics[width=0.35\textwidth]{LSDOutput.eps}
// \itkcaption[LSD Application]{Result of applying the
// \doxygen{otb}{LineSegmentDetector} to an image.}
// \label{fig:LSD}
// \end{figure}
//
// Software Guide : EndLatex
return EXIT_SUCCESS;
}
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