BandMathFilterExample.cxx 5.02 KiB
/*
 * Copyright (C) 2005-2019 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.
/* Example usage:
./BandMathFilterExample Input/qb_RoadExtract.tif Output/RoadExtractBandMath.tif Output/qb_BandMath-pretty.jpg
#include "itkMacro.h"
#include <iostream>
#include "otbImage.h"
#include "otbVectorImage.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
#include "itkUnaryFunctorImageFilter.h"
#include "itkCastImageFilter.h"
#include "otbVectorImageToImageListFilter.h"
// We start by including the required header file.
// The aim of this example is to compute the Normalized Difference Vegetation Index (NDVI)
// from a multispectral image and then apply a threshold to this
// index to extract areas containing a dense vegetation canopy.
#include "otbBandMathImageFilter.h"
int main(int argc, char* argv[])
  if (argc != 4)
    std::cerr << "Usage: " << argv[0] << " inputImageFile ";
    std::cerr << " outputImageFile ";
    std::cerr << " outputPrettyImageFile" << std::endl;
    return EXIT_FAILURE;
  // We start by the typedefs needed for reading and
  // writing the images. The BandMathImageFilter class
  // works with Image as input, so we need to define additional
  // filters to extract each layer of the multispectral image.
  typedef double                                                           PixelType;
  typedef otb::VectorImage<PixelType, 2>                                   InputImageType;
  typedef otb::Image<PixelType, 2>                                         OutputImageType;
  typedef otb::ImageList<OutputImageType>                                  ImageListType;
  typedef otb::VectorImageToImageListFilter<InputImageType, ImageListType> VectorImageToImageListType;
  typedef otb::ImageFileReader<InputImageType>                             ReaderType;
  typedef otb::ImageFileWriter<OutputImageType>                            WriterType;
  // We can now define the type for the filter
  typedef otb::BandMathImageFilter<OutputImageType> FilterType;
  // We instantiate the filter, the reader, and the writer
  ReaderType::Pointer reader = ReaderType::New();
  WriterType::Pointer writer = WriterType::New();
  FilterType::Pointer filter = FilterType::New();
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writer->SetInput(filter->GetOutput()); reader->SetFileName(argv[1]); writer->SetFileName(argv[2]); reader->UpdateOutputInformation(); // We now need to extract each band from the input VectorImage, // it illustrates the use of the VectorImageToImageList. // Each extracted layer is an input to the BandMathImageFilter VectorImageToImageListType::Pointer imageList = VectorImageToImageListType::New(); imageList->SetInput(reader->GetOutput()); imageList->UpdateOutputInformation(); const unsigned int nbBands = reader->GetOutput()->GetNumberOfComponentsPerPixel(); for (unsigned int j = 0; j < nbBands; ++j) { filter->SetNthInput(j, imageList->GetOutput()->GetNthElement(j)); } // Now we can define the mathematical expression to perform on the layers (b1, b2, b3, b4). // The filter takes advantage of the parsing capabilities of the muParser library and // allows setting the expression as on a digital calculator. // The expression below returns 255 if the ratio (NIR-RED)/(NIR+RED) is greater than 0.4 and 0 if not. filter->SetExpression("if((b4-b3)/(b4+b3) > 0.4, 255, 0)"); #ifdef OTB_MUPARSER_HAS_CXX_LOGICAL_OPERATORS filter->SetExpression("((b4-b3)/(b4+b3) > 0.4) ? 255 : 0"); #else filter->SetExpression("if((b4-b3)/(b4+b3) > 0.4, 255, 0)"); #endif // We can now run the pipeline writer->Update(); // The muParser library also provides the possibility to extend existing built-in functions. For example, // you can use the OTB expression "ndvi(b3, b4)" with the filter. In this instance, the mathematical expression would be "if(ndvi(b3, b4)>0.4, 255, 0)", which would return the same result. typedef otb::Image<unsigned char, 2> OutputPrettyImageType; typedef otb::ImageFileWriter<OutputPrettyImageType> PrettyImageFileWriterType; typedef itk::CastImageFilter<OutputImageType, OutputPrettyImageType> CastImageFilterType; PrettyImageFileWriterType::Pointer prettyWriter = PrettyImageFileWriterType::New(); CastImageFilterType::Pointer caster = CastImageFilterType::New(); caster->SetInput(filter->GetOutput()); prettyWriter->SetInput(caster->GetOutput()); prettyWriter->SetFileName(argv[3]); prettyWriter->Update(); }