1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129
|
/*
* Copyright (C) 2005-2020 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.
*/
// \doxygen{itk}{ImageRandomConstIteratorWithIndex} was developed to randomly
// sample pixel values. When incremented or decremented, it jumps to a random
// location in its image region.
//
// \index{itk::Image\-Random\-Const\-Iterator\-With\-Index!sample size}
// \index{itk::Image\-Random\-Const\-Iterator\-With\-Index!begin and end positions}
//
// The user must specify a sample size when creating this iterator. The sample
// size, rather than a specific image index, defines the end position for the
// iterator. \code{IsAtEnd()} returns
// \code{true} when the current sample number equals the sample size.
// \code{IsAtBegin()} returns \code{true} when the current sample number equals
// zero. An important difference from other image iterators is that
// ImageRandomConstIteratorWithIndex may visit the same pixel
// more than once.
//
// \index{itk::Image\-Random\-Const\-Iterator\-With\-Index!example of using|(}
// \index{itk::Image\-Random\-Const\-Iterator\-With\-Index!and statistics}
// Let's use the random iterator to estimate some simple image statistics. The next
// example calculates an estimate of the arithmetic mean of pixel values.
//
// First, include the appropriate header and declare pixel and image types.
#include "otbImage.h"
#include "itkImageRandomConstIteratorWithIndex.h"
#include "otbImageFileReader.h"
#include "otbImageFileWriter.h"
int main(int argc, char* argv[])
{
// Verify the number of parameters on the command line.
if (argc < 3)
{
std::cerr << "Missing parameters. " << std::endl;
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImageFile numberOfSamples" << std::endl;
return -1;
}
const unsigned int Dimension = 2;
using PixelType = unsigned short;
using ImageType = otb::Image<PixelType, Dimension>;
using ConstIteratorType = itk::ImageRandomConstIteratorWithIndex<ImageType>;
using ReaderType = otb::ImageFileReader<ImageType>;
ImageType::ConstPointer inputImage;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(argv[1]);
try
{
reader->Update();
inputImage = reader->GetOutput();
}
catch (itk::ExceptionObject& err)
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return -1;
}
// The input image has been read as \code{inputImage}. We now create an
// iterator with a number of samples set by command line argument. The call to
// \code{ReinitializeSeed} seeds the random number generator. The iterator is
// initialized over the entire valid image region.
//
// \index{itk::Image\-Random\-Const\-Iterator\-With\-Index!SetNumberOfSamples()}
// \index{itk::Image\-Random\-Const\-Iterator\-With\-Index!ReinitializeSeed()}
ConstIteratorType inputIt(inputImage, inputImage->GetRequestedRegion());
inputIt.SetNumberOfSamples(::atoi(argv[2]));
inputIt.ReinitializeSeed();
// Now take the specified number of samples and calculate their average value.
float mean = 0.0f;
for (inputIt.GoToBegin(); !inputIt.IsAtEnd(); ++inputIt)
{
mean += static_cast<float>(inputIt.Get());
}
mean = mean / ::atof(argv[2]);
std::cout << "Mean estimate with " << argv[2] << " samples is " << mean << std::endl;
// Table~\ref{fig:ImageRandomConstIteratorWithIndexExample} shows the results
// of running this example on several of the data files from
// \code{Examples/Data} with a range of sample sizes.
//
// \begin{table}
// \begin{center}
// \begin{tabular}[]{rc|c|c|c}
// & \multicolumn{4}{c}{\emph{Sample Size}} \\ & \code{\textbf{10}} & \code{\textbf{100}}
// & \code{\textbf{1000}}
// & \code{\textbf{10000}} \\ \cline{2-5}
// \code{RatLungSlice1.mha} & 50.5 & 52.4 & 53.0 & 52.4 \\ \code{RatLungSlice2.mha}
// & 46.7 & 47.5 & 47.4 & 47.6 \\ \code{BrainT1Slice.png}
// & 47.2 & 64.1 & 68.0 & 67.8 \\ \end{tabular}
// \protect\label{fig:ImageRandomConstIteratorWithIndexExample}
// \itkcaption[ImageRandomConstIteratorWithIndex usage]{Estimates of mean image pixel
// value using the ImageRandomConstIteratorWithIndex at different sample
// sizes.}
// \end{center}
// \end{table}
//
// \index{itk::Image\-Random\-Const\-Iterator\-With\-Index!example of using|)}
return EXIT_SUCCESS;
}
|