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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 "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"
int otbBandMathXImageFilterNew( int itkNotUsed(argc), char* itkNotUsed(argv) [])
{
typedef double PixelType;
typedef otb::VectorImage<PixelType, 2> ImageType;
typedef otb::BandMathXImageFilter<ImageType> FilterType;
FilterType::Pointer filter = FilterType::New();
return EXIT_SUCCESS;
}
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;
ImageType::SizeType size;
size.Fill(N);
ImageType::IndexType index;
index.Fill(0);
ImageType::RegionType region;
region.SetSize(size);
region.SetIndex(index);
ImageType::Pointer image1 = ImageType::New();
ImageType::Pointer image2 = ImageType::New();
ImageType::Pointer image3 = ImageType::New();
image1->SetLargestPossibleRegion( region );
image1->SetBufferedRegion( region );
image1->SetRequestedRegion( region );
image1->SetNumberOfComponentsPerPixel(D1);
image1->Allocate();
image2->SetLargestPossibleRegion( region );
image2->SetBufferedRegion( region );
image2->SetRequestedRegion( region );
image2->SetNumberOfComponentsPerPixel(D2);
image2->Allocate();
image3->SetLargestPossibleRegion( region );
image3->SetBufferedRegion( region );
image3->SetRequestedRegion( region );
image3->SetNumberOfComponentsPerPixel(D3);
image3->Allocate();
typedef itk::ImageRegionIteratorWithIndex<ImageType> IteratorType;
IteratorType it1(image1, region);
IteratorType it2(image2, region);
IteratorType it3(image3, region);
ImageType::PixelType val1, val2, val3;
val1.SetSize(D1);
val2.SetSize(D2);
val3.SetSize(D3);
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();
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];
it1.Set(val1);
it2.Set(val2);
it3.Set(val3);
}
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->SetExpression("vcos(2 * pi * im1) div (2 * pi * bands(im2,{1,1,1}) + {3.38,3.38,3.38}) mult vsin(pi * bands(canal3,{1,1,1}))"); //Sub-test 1
filter->SetExpression("im1b1 / im2b1"); //Sub-test 2 (Edge Effect Handling)
filter->Update();
//if (filter->GetNumberOfOutputs() != 2)
ImageType::Pointer output1 = filter->GetOutput(0);
ImageType::Pointer output2 = filter->GetOutput(1);
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 = vcl_cos( 2 * otb::CONST_PI * px1[0] ) / ( 2 * otb::CONST_PI * px2[0] + 3.38 ) * vcl_sin( otb::CONST_PI * px3[0] );
double expected2 = vcl_cos( 2 * otb::CONST_PI * px1[1] ) / ( 2 * otb::CONST_PI * px2[0] + 3.38 ) * vcl_sin( otb::CONST_PI * px3[0] );
double expected3 = vcl_cos( 2 * otb::CONST_PI * px1[2] ) / ( 2 * otb::CONST_PI * px2[0] + 3.38 ) * vcl_sin( otb::CONST_PI * px3[0] );
/*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 = (result1 - expected1) * (result1 - expected1) / (result1 + expected1);
error2 = (result2 - expected2) * (result2 - expected2) / (result2 + expected2);
error3 = (result3 - expected3) * (result3 - expected3) / (result3 + expected3);
if ( ( error1 > 1E-9 ) || ( error2 > 1E-9 ) || ( error3 > 1E-9 ))
{
itkGenericExceptionMacro( <<std::endl
<< "Error = " << error1 << " > 1E-9 -> TEST FAILLED" << 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 FAILLED" << 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 FAILLED" << 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;
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 = ImageType::New();
ImageType::Pointer image2 = ImageType::New();
ImageType::Pointer image3 = ImageType::New();
image1->SetLargestPossibleRegion( region );
image1->SetBufferedRegion( region );
image1->SetRequestedRegion( region );
image1->SetNumberOfComponentsPerPixel(D1);
image1->Allocate();
image2->SetLargestPossibleRegion( region );
image2->SetBufferedRegion( region );
image2->SetRequestedRegion( region );
image2->SetNumberOfComponentsPerPixel(D2);
image2->Allocate();
image3->SetLargestPossibleRegion( region );
image3->SetBufferedRegion( region );
image3->SetRequestedRegion( region );
image3->SetNumberOfComponentsPerPixel(D3);
image3->Allocate();
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 += vcl_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]= vcl_pow(it2.GetCenterPixel()[0],expo);
px1[3]= vcl_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 + vcl_pow(imageAb3Mean / imageAb1Sum * imageAb3Var,1.2);
if ( vcl_acos(0.5)+vcl_asin(0.5)+vcl_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 = (result1 - expected1) * (result1 - expected1) / (result1 + expected1);
error2 = (result2 - expected2) * (result2 - expected2) / (result2 + expected2);
error3 = (result3 - expected3) * (result3 - expected3) / (result3 + expected3);
error4 = (result4 - expected4) * (result4 - expected4) / (result4 + expected4);
error5 = (result5 - expected5) * (result5 - expected5) / (result5 + expected5);
error6 = (result6 - expected6) * (result6 - expected6) / (result6 + expected6);
error7 = (result7 - expected7) * (result7 - expected7) / (result7 + expected7);
//expression 2
double result8 = itoutput2.GetCenterPixel()[0];
double result9 = itoutput2.GetCenterPixel()[1];
double expected8 = px2[0];
double expected9 = px2[1];
double error8 = (result8 - expected8) * (result8 - expected8) / (result8 + expected8);
double error9 = (result9 - expected9) * (result9 - expected9) / (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 FAILLED" << 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 = ImageType::New();
ImageType::Pointer image2 = ImageType::New();
ImageType::Pointer image3 = ImageType::New();
image1->SetLargestPossibleRegion( region );
image1->SetBufferedRegion( region );
image1->SetRequestedRegion( region );
image1->SetNumberOfComponentsPerPixel(D1);
image1->Allocate();
image2->SetLargestPossibleRegion( region );
image2->SetBufferedRegion( region );
image2->SetRequestedRegion( region );
image2->SetNumberOfComponentsPerPixel(D2);
image2->Allocate();
image3->SetLargestPossibleRegion( region );
image3->SetBufferedRegion( region );
image3->SetRequestedRegion( region );
image3->SetNumberOfComponentsPerPixel(D3);
image3->Allocate();
typedef itk::ImageRegionIteratorWithIndex<ImageType> IteratorType;
IteratorType it1(image1, region);
IteratorType it2(image2, region);
IteratorType it3(image3, region);
image1->SetOrigin(origin);
image1->SetSpacing(spacing);
image2->SetOrigin(origin);
image2->SetSpacing(spacing);
image3->SetOrigin(origin);
image3->SetSpacing(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;
}
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