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/*
* 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.
*/
#include "itkMacro.h"
#include <iostream>
#include <complex> //only for the isnan() test line 148
#include "otbMath.h"
#include "otbVectorImage.h"
#include "otbBandMathXImageFilter.h"
#include "otbImageFileWriter.h"
#include "itkImageRegionIteratorWithIndex.h"
double relativeError(double a, double b)
{
return std::pow(a-b, 2) / std::fabs(a+b);
}
template<typename T> typename T::Pointer createTestImage(typename T::RegionType& region,
unsigned int components)
{
typename T::Pointer image = T::New();
image->SetLargestPossibleRegion(region);
image->SetBufferedRegion(region);
image->SetRequestedRegion(region);
image->SetNumberOfComponentsPerPixel(components);
image->Allocate();
return image;
}
int otbBandMathXImageFilter(int itkNotUsed(argc), char* itkNotUsed(argv)[])
{
typedef otb::VectorImage<double, 2> ImageType;
typedef ImageType::PixelType PixelType;
typedef otb::BandMathXImageFilter<ImageType> FilterType;
unsigned int i;
const unsigned int N = 100, D1 = 3, D2 = 1, D3 = 1, D4=4;
ImageType::SizeType size;
size.Fill(N);
ImageType::IndexType index;
index.Fill(0);
ImageType::RegionType region;
region.SetSize(size);
region.SetIndex(index);
ImageType::Pointer image1 = createTestImage<ImageType>(region, D1);
ImageType::Pointer image2 = createTestImage<ImageType>(region, D2);
ImageType::Pointer image3 = createTestImage<ImageType>(region, D3);
ImageType::Pointer image4 = createTestImage<ImageType>(region, D2);
ImageType::Pointer image5 = createTestImage<ImageType>(region, D4);
typedef itk::ImageRegionIteratorWithIndex<ImageType> IteratorType;
IteratorType it1(image1, region);
IteratorType it2(image2, region);
IteratorType it3(image3, region);
IteratorType it4(image4, region);
IteratorType it5(image5, region);
ImageType::PixelType val1, val2, val3, val4, val5;
val1.SetSize(D1);
val2.SetSize(D2);
val3.SetSize(D3);
val4.SetSize(D2);
val5.SetSize(D4);
for (i=0, it1.GoToBegin(), it2.GoToBegin(), it3.GoToBegin(), it4.GoToBegin(), it5.GoToBegin();
!it1.IsAtEnd();
++i, ++it1, ++it2, ++it3, ++it4, ++it5)
{
ImageType::IndexType i1 = it1.GetIndex();
ImageType::IndexType i2 = it2.GetIndex();
ImageType::IndexType i3 = it3.GetIndex();
val1[0] = i1[0] + i1[1] - 50;
val1[1] = i1[0] * i1[1] - 50;
val1[2] = i1[0] / (i1[1] + 1) + 5;
val2[0] = i2[0] * i2[1];
val3[0] = i3[0] + i3[1] * i3[1];
val4[0] = 2e-4 * i;
val5[0] = i;
val5[1] = i*2;
val5[2] = i*3;
val5[3] = i*4;
it1.Set(val1);
it2.Set(val2);
it3.Set(val3);
it4.Set(val4);
it5.Set(val5);
}
FilterType::Pointer filter = FilterType::New();
std::cout << "Number Of Threads : " << filter->GetNumberOfThreads() << std::endl;
filter->SetNthInput(0, image1);
filter->SetNthInput(1, image2);
filter->SetNthInput(2, image3, "canal3");
filter->SetNthInput(3, image4);
filter->SetNthInput(4, image5);
filter->SetExpression( // Sub-test 1
"vcos(2 * pi * im1) div (2 * pi * (bands(im2,{1,1,1}) pw 2)"
"+ {3.38,3.38,3.38} pow {2.1,3.2,4}) mult (vsin(pi * bands(canal3,{1,1,1})) dv 2.0)");
filter->SetExpression("im1b1 / im2b1"); // Sub-test 2 (Edge Effect Handling)
// Sub-test 3 : MultiplicationByScalar, ElementWisePower, DivisionByScalar
filter->SetExpression("((im2 mlt 3) pow (im4 mlt {2.0})) dv {2.0}");
// Sub-test 4 : PowerByScalar, vtan, vtanh, vsinh, vcosh
filter->SetExpression("vcosh(vsinh(vtanh(vtan(im2 pw 2 + im4 pw {2.2}))))");
// Sub-test 5 : vlog, vlog10, vabs, vexp, vsqrt
filter->SetExpression("vlog(vabs(vsqrt(vexp(vlog10(im2 + bands(im1,{3}))))))");
// Sub-test 6 : mean
filter->SetExpression("mean(10, 3.14)");
// Sub-test 7 : corr
filter->SetExpression("corr(bands(im5, {1,2,3,4}), bands(im5, {1,2,4,3}))");
filter->Update();
// if (filter->GetNumberOfOutputs() != 2)
ImageType::Pointer output1 = filter->GetOutput(0);
ImageType::Pointer output2 = filter->GetOutput(1);
ImageType::Pointer output3 = filter->GetOutput(2);
ImageType::Pointer output4 = filter->GetOutput(3);
ImageType::Pointer output5 = filter->GetOutput(4);
ImageType::Pointer output6 = filter->GetOutput(5);
ImageType::Pointer output7 = filter->GetOutput(6);
std::cout << "\n--- Standard Use\n";
std::cout << "Parsed Expression : " << filter->GetExpression(0) << std::endl;
// Sub-test 1
IteratorType itoutput1(output1, region);
for (it1.GoToBegin(), it2.GoToBegin(), it3.GoToBegin(), itoutput1.GoToBegin(); !it1.IsAtEnd(); ++it1, ++it2, ++it3, ++itoutput1)
{
ImageType::IndexType i1 = it1.GetIndex();
ImageType::IndexType i2 = it2.GetIndex();
ImageType::IndexType i3 = it3.GetIndex();
PixelType px1(D1), px2(D2), px3(D3);
px1[0] = (i1[0] + i1[1] - 50);
px1[1] = (i1[0] * i1[1] - 50);
px1[2] = (i1[0] / (i1[1] + 1) + 5);
px2[0] = (i2[0] * i2[1]);
px3[0] = (i3[0] + i3[1] * i3[1]);
double result1 = itoutput1.Get()[0], result2 = itoutput1.Get()[1], result3 = itoutput1.Get()[2];
double error1, error2, error3;
double expected1 = std::cos(2 * otb::CONST_PI * px1[0]) / (2 * otb::CONST_PI * px2[0] * px2[0] + pow(3.38,2.1)) * std::sin(otb::CONST_PI * px3[0]) / 2;
double expected2 = std::cos(2 * otb::CONST_PI * px1[1]) / (2 * otb::CONST_PI * px2[0] * px2[0] + pow(3.38,3.2)) * std::sin(otb::CONST_PI * px3[0]) / 2;
double expected3 = std::cos(2 * otb::CONST_PI * px1[2]) / (2 * otb::CONST_PI * px2[0] * px2[0] + pow(3.38,4)) * std::sin(otb::CONST_PI * px3[0]) / 2;
/*std::cout << "Pixel_1 = " << it1.Get()[0] << " Pixel_2 = " << it2.Get()[0] << " Pixel_3 = " << it3.Get()[0]
<< " Result = " << itoutput1.Get()[0] << " Expected = " << expected1 << std::endl; */
error1 = relativeError(result1, expected1);
error2 = relativeError(result2, expected2);
error3 = relativeError(result3, expected3);
if ((error1 > 1E-9) || (error2 > 1E-9) || (error3 > 1E-9))
{
itkGenericExceptionMacro(<< std::endl
<< "Error = " << error1 << " > 1E-9 -> TEST FAILED" << std::endl
<< "Pixel_1 = " << it1.Get()[0] << " Pixel_2 = " << it2.Get()[0] << " Pixel_3 = " << it3.Get()[0]
<< " Result = " << result1 << " Expected = " << expected1 << std::endl
<< "Error = " << error2 << " > 1E-9 -> TEST FAILED" << std::endl
<< "Pixel_1 = " << it1.Get()[1] << " Pixel_2 = " << it2.Get()[0] << " Pixel_3 = " << it3.Get()[0]
<< " Result = " << result2 << " Expected = " << expected2 << std::endl
<< "Error = " << error3 << " > 1E-9 -> TEST FAILED" << std::endl
<< "Pixel_1 = " << it1.Get()[2] << " Pixel_2 = " << it2.Get()[0] << " Pixel_3 = " << it3.Get()[0]
<< " Result = " << result3 << " Expected = " << expected3 << std::endl);
}
}
// Sub-test 2
/** Edge Effect Handling */
IteratorType itoutput2(output2, region);
std::cout << "\n--- Edge Effect Handling\n";
std::cout << "- +/-inf section\n";
std::cout << "- nan section\n";
it1.GoToBegin();
it2.GoToBegin();
itoutput2.GoToBegin();
for (i = 1; i <= 50; ++i, ++it1, ++it2, ++itoutput2)
{
}
if (vnl_math_isnan(itoutput2.Get()[0]))
std::cout << "Pixel_1 = " << it1.Get() << " Pixel_2 = " << it2.Get() << " Result = " << itoutput2.Get() << " Expected = nan\n";
else
itkGenericExceptionMacro(<< "\nError > Bad Edge Effect Handling -> Test Failled\n"
<< "Pixel_1 = " << it1.Get() << " Pixel_2 = " << it2.Get() << " Result = " << itoutput2.Get()
<< " Expected = nan\n");
std::cout << std::endl;
// Sub-test 3
IteratorType itoutput3(output3, region);
for (i=0, it2.GoToBegin(); !it2.IsAtEnd(); ++i, ++it2, ++itoutput3)
{
ImageType::IndexType i2 = it2.GetIndex();
double expected = pow(i2[0] * i2[1] * 3, 2 * 2e-4 * i) / 2.0;
double result = itoutput3.Get()[0];
double error;
error = std::fabs(result - expected);
if (error > 1e-9) {
itkGenericExceptionMacro(<< std::endl
<< "Result = " << itoutput3.Get()[0]
<< " Expected = " << expected
<< " Error = " << error << " > 1E-9 -> TEST FAILED"
<< std::endl);
}
}
// Sub-test 4
IteratorType itoutput4(output4, region);
for (i=0, it2.GoToBegin(); !it2.IsAtEnd(); ++i, ++it2, ++itoutput4)
{
ImageType::IndexType i2 = it2.GetIndex();
double expected = std::cosh(std::sinh(std::tanh(std::tan(i2[0] * i2[1] * i2[0] * i2[1]
+ pow(2e-4 * i, 2.2)))));
double result = itoutput4.Get()[0];
double error;
error = std::fabs(result - expected);
if (error > 1e-12) {
itkGenericExceptionMacro(<< std::endl
<< "Result = " << itoutput4.Get()[0]
<< " Expected = " << expected
<< " Error = " << error << " > 1E-12 -> TEST FAILED"
<< std::endl);
}
}
// Sub-test 5
IteratorType itoutput5(output5, region);
for (i=0, it1.GoToBegin(), it2.GoToBegin(); !it2.IsAtEnd(); ++i, ++it1, ++it2, ++itoutput5)
{
ImageType::IndexType i2 = it2.GetIndex();
double expected = std::log(std::fabs(std::sqrt(std::exp(std::log10(i2[0] * i2[1] + it1.Get()[2])))));
double result = itoutput5.Get()[0];
double error;
error = std::fabs(result - expected);
if (error > 1e-12) {
itkGenericExceptionMacro(<< std::endl
<< "Result = " << itoutput5.Get()[0]
<< " Expected = " << expected
<< " Error = " << error << " > 1E-12 -> TEST FAILED"
<< std::endl);
}
}
// Sub-test 6
PixelType result = output6->GetPixel( {{0, 0}} );
if (result[0] != 10 || std::abs(result[1] - 3.14) > 1e-12) {
itkGenericExceptionMacro(<< std::endl
<< " Expected = [10, 3.14]"
<< " Got = " << result << " -> TEST FAILED"
<< std::endl);
}
// Sub-test 7
IteratorType itoutput7(output7, region);
for (i=0, itoutput7.GoToBegin(); !itoutput7.IsAtEnd(); ++i, ++itoutput7)
{
double result = itoutput7.Get()[0];
double error = std::abs(result - 0.8);
if (error > 1e-12) {
itkGenericExceptionMacro(<< std::endl
<< " Expected = 0.8"
<< " Got = " << result << " -> TEST FAILED"
<< std::endl);
}
}
return EXIT_SUCCESS;
}
int otbBandMathXImageFilterConv(int itkNotUsed(argc), char* argv[])
{
const char* inputFilename = argv[1];
typedef otb::VectorImage<double, 2> ImageType;
typedef ImageType::PixelType PixelType;
typedef otb::BandMathXImageFilter<ImageType> FilterType;
const unsigned int N = 100, D1 = 3, D2 = 1, D3 = 1;
ImageType::SizeType size;
size.Fill(N);
ImageType::IndexType index;
index.Fill(0);
ImageType::RegionType region;
region.SetSize(size);
region.SetIndex(index);
ImageType::Pointer image1 = createTestImage<ImageType>(region, D1);
ImageType::Pointer image2 = createTestImage<ImageType>(region, D2);
ImageType::Pointer image3 = createTestImage<ImageType>(region, D3);
typedef itk::ConstNeighborhoodIterator<ImageType> IteratorType;
IteratorType::RadiusType radius;
radius[0] = 1; // Size x direction
radius[1] = 2; // Size y direction
IteratorType it1(radius, image1, region);
it1.NeedToUseBoundaryConditionOn();
IteratorType it2(radius, image2, region);
it2.NeedToUseBoundaryConditionOn();
IteratorType it3(radius, image3, region);
it3.NeedToUseBoundaryConditionOn();
PixelType::ValueType imageAb2Mini = itk::NumericTraits<PixelType::ValueType>::max();
PixelType::ValueType imageAb3Mean = 0.0, n = 0.0;
PixelType::ValueType imageAb3Var = 0.0;
PixelType::ValueType imageAb1Sum = 0.0;
PixelType::ValueType im2b1Maxi = itk::NumericTraits<PixelType::ValueType>::min();
for (it1.GoToBegin(), it2.GoToBegin(), it3.GoToBegin(); !it1.IsAtEnd(); ++it1, ++it2, ++it3)
{
ImageType::IndexType i1 = it1.GetIndex();
ImageType::IndexType i2 = it2.GetIndex();
ImageType::IndexType i3 = it3.GetIndex();
it1.GetCenterPixel()[0] = i1[0] + i1[1] - 50;
it1.GetCenterPixel()[1] = i1[0] * i1[1] - 50;
it1.GetCenterPixel()[2] = i1[0] / (i1[1] + 1) + 5;
it2.GetCenterPixel()[0] = i2[0] * i2[1];
it3.GetCenterPixel()[0] = i3[0] + i3[1] * i3[1];
// Minimum of im1 band 2
if (imageAb2Mini > it1.GetCenterPixel()[1])
imageAb2Mini = it1.GetCenterPixel()[1];
// Mean of im1 band 3
imageAb3Mean += it1.GetCenterPixel()[2];
n++;
// Var of im1 band 3
imageAb3Var += std::pow(it1.GetCenterPixel()[2], 2.0);
// Maximum of im2 band 1
if (im2b1Maxi < it2.GetCenterPixel()[0])
im2b1Maxi = it2.GetCenterPixel()[0];
// Sum of im1 band1
imageAb1Sum += it1.GetCenterPixel()[0];
}
imageAb3Mean = imageAb3Mean / n;
imageAb3Var = (n / (n - 1)) * (imageAb3Var / n - imageAb3Mean * imageAb3Mean); // unbiased
FilterType::Pointer filter = FilterType::New();
std::cout << "Number Of Threads : " << filter->GetNumberOfThreads() << std::endl;
double expo = 1.1;
filter->SetNthInput(0, image1, "imageA");
filter->SetNthInput(1, image2);
filter->SetNthInput(2, image3, "canal3");
// filter->SetMatrix("kernel1","{ 0.1 , 0.2 , 0.3; 0.4 , 0.5 , 0.6; 0.7 , 0.8 , 0.9; 1.0 , 1.1 , 1.2; 1.3 , 1.4 , 1.5 }");
// filter->SetConstant("expo",expo);
// filter->SetExpression("conv(kernel1,imageAb1N3x5,imageAb2N3x5); im2b1^1.1; vcos(canal3); mean(imageAb2N3x3); var(imageAb2N3x3); median(imageAb2N3x3)");
filter->ImportContext(inputFilename); // Equivalent to three commands above
filter->SetExpression(
"(vmax(canal3b1N3x5)+vmin(canal3b1N3x5)) div {2.0} + {imageAb3Var} dv 2.0 + {imageAb2Mini / im2b1Maxi} mlt 3.4 + {imageAb3Mean / imageAb1Sum * "
"imageAb3Var} pw 1.2 ; vect2scal(vacos({0.5}) + vasin({0.5}) + vatan({0.5})) > 2.0 ?{1}:{0}");
filter->Update();
if (filter->GetNumberOfOutputs() != 2)
itkGenericExceptionMacro(<< "Wrong number of outputs.");
ImageType::Pointer output1 = filter->GetOutput(0);
ImageType::Pointer output2 = filter->GetOutput(1);
if (output1->GetNumberOfComponentsPerPixel() != 7)
itkGenericExceptionMacro(<< "Wrong number of components per pixel (input 1).");
if (output2->GetNumberOfComponentsPerPixel() != 2)
itkGenericExceptionMacro(<< "Wrong number of components per pixel (input 2).");
std::cout << "\n--- Standard Use\n";
std::cout << "Parsed Expression 1 : " << filter->GetExpression(0) << std::endl;
std::cout << "Parsed Expression 2 : " << filter->GetExpression(1) << std::endl;
// Sub-test 1
IteratorType itoutput1(radius, output1, region);
IteratorType itoutput2(radius, output2, region);
for (it1.GoToBegin(), it2.GoToBegin(), it3.GoToBegin(), itoutput1.GoToBegin(), itoutput2.GoToBegin(); !it1.IsAtEnd();
++it1, ++it2, ++it3, ++itoutput1, ++itoutput2)
{
PixelType px1(output1->GetNumberOfComponentsPerPixel());
PixelType px2(output2->GetNumberOfComponentsPerPixel());
float coefs[15] = {0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 1.0f, 1.1f, 1.2f, 1.3f, 1.4f, 1.5f};
// expression 1
px1[0] = 0;
for (unsigned int i = 0; i < it1.Size(); ++i)
px1[0] += coefs[i] * it1.GetPixel(i)[0];
px1[1] = 0;
for (unsigned int i = 0; i < it1.Size(); ++i)
px1[1] += coefs[i] * it1.GetPixel(i)[1];
px1[2] = std::pow(it2.GetCenterPixel()[0], expo);
px1[3] = std::cos(it3.GetCenterPixel()[0]);
// mean var median
std::vector<double> vect;
for (int i = 3; i <= 11; i++)
vect.push_back(it1.GetPixel(i)[1]);
px1[4] = 0.0;
for (unsigned int i = 0; i < vect.size(); i++)
px1[4] += vect[i];
px1[4] /= ((double)vect.size()); // mean
px1[5] = 0.0;
for (unsigned int i = 0; i < vect.size(); i++)
px1[5] += (vect[i] - px1[4]) * (vect[i] - px1[4]);
px1[5] /= ((double)vect.size()); // var
std::sort(vect.begin(), vect.end());
px1[6] = vect[(int)(vect.size() / 2.)]; // median
// expression 2
std::vector<double> vect2;
for (unsigned int i = 0; i < it3.Size(); i++)
vect2.push_back(it3.GetPixel(i)[0]);
std::sort(vect2.begin(), vect2.end());
px2[0] =
(vect2.back() + vect2.front()) / 2.0 + imageAb3Var / 2.0 + (imageAb2Mini / im2b1Maxi) * 3.4 + std::pow(imageAb3Mean / imageAb1Sum * imageAb3Var, 1.2);
if (std::acos(0.5) + std::asin(0.5) + std::atan(0.5) > 2.0)
px2[1] = 1.0;
else
px2[1] = 0.0;
// expression 1
double result1 = itoutput1.GetCenterPixel()[0], result2 = itoutput1.GetCenterPixel()[1], result3 = itoutput1.GetCenterPixel()[2],
result4 = itoutput1.GetCenterPixel()[3], result5 = itoutput1.GetCenterPixel()[4], result6 = itoutput1.GetCenterPixel()[5],
result7 = itoutput1.GetCenterPixel()[6];
double error1, error2, error3, error4, error5, error6, error7;
double expected1 = px1[0], expected2 = px1[1], expected3 = px1[2], expected4 = px1[3], expected5 = px1[4], expected6 = px1[5], expected7 = px1[6];
error1 = relativeError(result1, expected1);
error2 = relativeError(result2, expected2);
error3 = relativeError(result3, expected3);
error4 = relativeError(result4, expected4);
error5 = relativeError(result5, expected5);
error6 = relativeError(result6, expected6);
error7 = relativeError(result7, expected7);
// expression 2
double result8 = itoutput2.GetCenterPixel()[0];
double result9 = itoutput2.GetCenterPixel()[1];
double expected8 = px2[0];
double expected9 = px2[1];
double error8 = relativeError(result8, expected8);
double error9 = relativeError(result9, expected9);
if ((error1 > 1E-9) || (error2 > 1E-9) || (error3 > 1E-9) || (error4 > 1E-9) || (error5 > 1E-9) || (error6 > 1E-9) || (error7 > 1E-9) || (error8 > 1E-9) ||
(error9 > 1E-9))
{
itkGenericExceptionMacro(<< "TEST FAILED" << std::endl
<< "Error1 = " << error1 << std::endl
<< " Result1 = " << result1 << " Expected1 = " << expected1 << std::endl
<< "Error2 = " << error2 << std::endl
<< " Result2 = " << result2 << " Expected2 = " << expected2 << std::endl
<< "Error3 = " << error3 << std::endl
<< " Result3 = " << result3 << " Expected3 = " << expected3 << std::endl
<< "Error4 = " << error4 << std::endl
<< " Result4 = " << result4 << " Expected4 = " << expected4 << std::endl
<< "Error5 = " << error5 << std::endl
<< " Result5 = " << result5 << " Expected5 = " << expected5 << std::endl
<< "Error6 = " << error6 << std::endl
<< " Result6 = " << result6 << " Expected6 = " << expected6 << std::endl
<< "Error7 = " << error7 << std::endl
<< " Result7 = " << result7 << " Expected7 = " << expected7 << std::endl
<< "Error8 = " << error8 << std::endl
<< " Result8 = " << result8 << " Expected8 = " << expected8 << std::endl
<< "Error9 = " << error9 << std::endl
<< " Result9 = " << result9 << " Expected9 = " << expected9 << std::endl);
}
}
return EXIT_SUCCESS;
}
int otbBandMathXImageFilterTxt(int itkNotUsed(argc), char* argv[])
{
const char* inputFilename = argv[1];
const char* outputFilename = argv[2];
typedef otb::VectorImage<double, 2> ImageType;
typedef otb::BandMathXImageFilter<ImageType> FilterType;
FilterType::Pointer filter = FilterType::New();
filter->ImportContext(inputFilename);
filter->ExportContext(outputFilename);
return EXIT_SUCCESS;
}
int otbBandMathXImageFilterWithIdx(int itkNotUsed(argc), char* argv[])
{
const char* outfname1 = argv[1];
const char* outfname2 = argv[2];
typedef otb::VectorImage<double, 2> ImageType;
typedef otb::BandMathXImageFilter<ImageType> FilterType;
typedef otb::ImageFileWriter<ImageType> WriterType;
const unsigned int N = 100, D1 = 1, D2 = 1, D3 = 1;
ImageType::SizeType size;
size.Fill(N);
ImageType::IndexType index;
index.Fill(0);
ImageType::RegionType region;
region.SetSize(size);
region.SetIndex(index);
ImageType::PointType origin;
origin[0] = -25;
origin[1] = -25;
ImageType::SpacingType spacing;
spacing[0] = 0.5;
spacing[1] = 0.5;
ImageType::Pointer image1 = createTestImage<ImageType>(region, D1);
ImageType::Pointer image2 = createTestImage<ImageType>(region, D2);
ImageType::Pointer image3 = createTestImage<ImageType>(region, D3);
typedef itk::ImageRegionIteratorWithIndex<ImageType> IteratorType;
IteratorType it1(image1, region);
IteratorType it2(image2, region);
IteratorType it3(image3, region);
image1->SetOrigin(origin);
image1->SetSignedSpacing(spacing);
image2->SetOrigin(origin);
image2->SetSignedSpacing(spacing);
image3->SetOrigin(origin);
image3->SetSignedSpacing(spacing);
for (it1.GoToBegin(), it2.GoToBegin(), it3.GoToBegin(); !it1.IsAtEnd(); ++it1, ++it2, ++it3)
{
ImageType::IndexType i1 = it1.GetIndex();
ImageType::IndexType i2 = it2.GetIndex();
ImageType::IndexType i3 = it3.GetIndex();
it1.Get()[0] = i1[0] + i1[1] - 50;
it2.Get()[0] = i2[0] * i2[1];
it3.Get()[0] = i3[0] + i3[1] * i3[1];
}
FilterType::Pointer filter = FilterType::New();
std::cout << "Number Of Threads : " << filter->GetNumberOfThreads() << std::endl;
filter->SetNthInput(0, image1);
filter->SetNthInput(1, image2);
filter->SetNthInput(2, image3);
filter->SetExpression("(sqrt(idxX*idxX+idxY*idxY) < 50) ? im1b1 : im2b1");
filter->SetExpression("(sqrt(im2PhyX*im2PhyX+im2PhyY*im2PhyY) < 25) ? im2b1 : im3b1");
WriterType::Pointer writer = WriterType::New();
writer->SetInput(filter->GetOutput(0));
writer->SetFileName(outfname1);
writer->Update();
WriterType::Pointer writer2 = WriterType::New();
writer2->SetInput(filter->GetOutput(1));
writer2->SetFileName(outfname2);
writer2->Update();
return EXIT_SUCCESS;
}
int otbBandMathXImageFilterBandsFailures(int itkNotUsed(argc), char* itkNotUsed(argv)[])
{
typedef otb::VectorImage<double, 2> ImageType;
typedef otb::BandMathXImageFilter<ImageType> FilterType;
const unsigned int N = 100, D1 = 3;
ImageType::SizeType size;
size.Fill(N);
ImageType::IndexType index;
index.Fill(0);
ImageType::RegionType region;
region.SetSize(size);
region.SetIndex(index);
ImageType::Pointer image = createTestImage<ImageType>(region, D1);
FilterType::Pointer filter = FilterType::New();
filter->SetNthInput(0, image);
std::vector<std::string> exps = { "bands(im1,{4,1})", "bands(im1,{1,-1})",
"bands(im1,{1,2,3,1,2,3,0})" };
for ( std::string exp: exps ) {
filter->SetExpression(exp);
try {
filter->Update();
throw ;
}
catch (::itk::RangeError& e)
{
std::cout << "INFO: Exception thrown as expected : " << e.what() << std::endl;
filter->ClearExpression();
}
catch (const std::exception& e) {
itkGenericExceptionMacro(<< "TEST FAILED: " << exp
<< "should have raise a RangeError exception."
<< e.what() << std::endl);
}
filter->ClearExpression(); // clean-up filter for next test string
}
return EXIT_SUCCESS;
}
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