CorrelationLineDetectorExample.cxx¶

Example usage:

./CorrelationLineDetectorExample Input/amst2.png Output/amstLineCorrelations.png Output/amstLineCorrelationDirections.png 5 1


Example source code (CorrelationLineDetectorExample.cxx):

// This example illustrates the use of the \doxygen{otb}{CorrelationLineDetectorImageFilter}.
// This filter is used for line detection in SAR images. Its principle
// is described in \cite{tup-98}: a line is detected if two parallel
// edges are present in the images. These edges are detected with the
// correlation of means detector.
//
// The first step required to use this filter is to include its header file.

#include "otbLineCorrelationDetectorImageFilter.h"

#include "otbImage.h"
#include "itkUnaryFunctorImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "otbImageFileWriter.h"

int main(int argc, char* argv[])
{

if (argc != 6)
{
std::cerr << "Usage: " << argv[0] << " inputImageFile ";
std::cerr << " outputEdgesImageFile outputDirectionsImageFile length width" << std::endl;
return EXIT_FAILURE;
}

//  Then we must decide what pixel type to use for the image. We
//  choose to make all computations with floating point precision
//  and rescale the results between 0 and 255 in order to export PNG images.

using InternalPixelType = float;
using OutputPixelType   = unsigned char;

//  The images are defined using the pixel type and the dimension.

using InternalImageType = otb::Image<InternalPixelType, 2>;
using OutputImageType   = otb::Image<OutputPixelType, 2>;

//  The filter can be instantiated using the image types defined above.

using FilterType = otb::LineCorrelationDetectorImageFilter<InternalImageType, InternalImageType>;

//  image data from a file.

// An \doxygen{otb}{ImageFileWriter} is instantiated in order to write the
// output image to a file.

using WriterType = otb::ImageFileWriter<OutputImageType>;

// The intensity rescaling of the results will be carried out by the
// \code{itk::RescaleIntensityImageFilter} which is templated by the
// input and output image types.

//  Both the filter and the reader are created by invoking their \code{New()}
//  methods and assigning the result to SmartPointers.

FilterType::Pointer filter = FilterType::New();

//  The same is done for the rescaler and the writer.

WriterType::Pointer   writer   = WriterType::New();

//  The \code{itk::RescaleIntensityImageFilter} needs to know which
//  is the minimu and maximum values of the output generated
//  image. Those can be chosen in a generic way by using the
//  \code{NumericTraits} functions, since they are templated over
//  the pixel type.

rescaler->SetOutputMinimum(itk::NumericTraits<OutputPixelType>::min());
rescaler->SetOutputMaximum(itk::NumericTraits<OutputPixelType>::max());

//  The image obtained with the reader is passed as input to the
//  \doxygen{otb}{LineCorrelationDetectorImageFilter}. The pipeline is built as follows.
//
//  \index{otb::LineCorrelationDetectorImageFilter!SetInput()}

rescaler->SetInput(filter->GetOutput());
writer->SetInput(rescaler->GetOutput());

//  The methods \code{SetLengthLine()} and \code{SetWidthLine()}
//  allow setting the minimum length and the typical witdh of the
//  lines which are to be detected.
//
//  \index{otb::LineCorrelationDetector!SetWidthLine()}
//  \index{otb::LineCorrelationDetector!SetLengthLine()}

filter->SetLengthLine(atoi(argv[4]));
filter->SetWidthLine(atoi(argv[5]));

//  The filter is executed by invoking the \code{Update()} method. If the
//  filter is part of a larger image processing pipeline, calling
//  \code{Update()} on a downstream filter will also trigger update of this
//  filter.

filter->Update();

writer->SetFileName(argv[2]);
writer->Update();

// We can also obtain the direction of the lines by invoking the
// \code{GetOutputDirections()} method.

writer->SetFileName(argv[3]);
rescaler->SetInput(filter->GetOutputDirection());
writer->SetInput(rescaler->GetOutput());
writer->Update();

//  Figure~\ref{fig:LINECORRELATION_FILTER}
// shows the result of applying the LineCorrelation edge detector filter
// to a SAR image.  \begin{figure} \center
// \includegraphics[width=0.25\textwidth]{amst.eps}
// \includegraphics[width=0.25\textwidth]{amstLineCorrelations.eps}
// \includegraphics[width=0.25\textwidth]{amstLineCorrelationDirections.eps}
// \itkcaption[Line Correlation Detector Application]{Result of applying
// the \doxygen{otb}{LineCorrelationDetectorImageFilter} to a SAR
// image. From left to right : original image, line intensity and
// edge orientation.}  \label{fig:LINECORRELATION_FILTER} \end{figure}
//
//  \relatedClasses
//  \begin{itemize}
//  \item \doxygen{otb}{LineCorrelationDetectorImageFilter}
//  \end{itemize}

return EXIT_SUCCESS;
}