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Commit 5683175c authored by Victor Poughon's avatar Victor Poughon
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STYLE: run clang-format on otbEdgeExtraction.cxx

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Modules/Applications/AppEdge/app/otbEdgeExtraction.cxx
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− 163
View file @ 5683175c
......@@ -37,187 +37,179 @@ namespace Wrapper
class EdgeExtraction : public Application
{
public:
/** Standard class typedefs. */
typedef EdgeExtraction Self;
typedef Application Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
typedef MultiToMonoChannelExtractROI<FloatVectorImageType::InternalPixelType,FloatImageType::InternalPixelType>
ExtractorFilterType;
typedef itk::GradientMagnitudeImageFilter<FloatImageType, FloatImageType>
GradientFilterType;
typedef itk::SobelEdgeDetectionImageFilter<FloatImageType, FloatImageType>
SobelFilterType;
//typedef itk::CannyEdgeDetectionImageFilter<FloatImageType, FloatImageType>
// CannyFilterType;
typedef TouziEdgeDetectorImageFilter<FloatImageType, FloatImageType>
TouziFilterType;
/** Standard macro */
itkNewMacro(Self);
itkTypeMacro(EdgeExtraction, otb::Application);
/** Standard class typedefs. */
typedef EdgeExtraction Self;
typedef Application Superclass;
typedef itk::SmartPointer<Self> Pointer;
typedef itk::SmartPointer<const Self> ConstPointer;
private:
typedef MultiToMonoChannelExtractROI<FloatVectorImageType::InternalPixelType, FloatImageType::InternalPixelType> ExtractorFilterType;
typedef itk::GradientMagnitudeImageFilter<FloatImageType, FloatImageType> GradientFilterType;
typedef itk::SobelEdgeDetectionImageFilter<FloatImageType, FloatImageType> SobelFilterType;
// typedef itk::CannyEdgeDetectionImageFilter<FloatImageType, FloatImageType>
// CannyFilterType;
typedef TouziEdgeDetectorImageFilter<FloatImageType, FloatImageType> TouziFilterType;
void DoInit() override
{
SetName("EdgeExtraction");
SetDescription(
"This application computes edge features on every pixel of the input image "
"selected channel");
// Documentation
SetDocName("Edge Feature Extraction");
SetDocLongDescription(
"This application computes edge features on a selected channel of the input."
"It uses different filter such as gradient, Sobel and Touzi");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
SetDocSeeAlso("otb class");
AddDocTag(Tags::FeatureExtraction);
AddDocTag("Edge");
AddParameter(ParameterType_InputImage, "in", "Input Image");
SetParameterDescription("in", "The input image on which the features are computed.");
AddParameter(ParameterType_Int, "channel", "Selected Channel");
SetParameterDescription("channel", "The selected channel index");
SetDefaultParameterInt("channel", 1);
SetMinimumParameterIntValue("channel", 1);
AddRAMParameter();
AddParameter(ParameterType_Choice, "filter", "Edge feature");
SetParameterDescription("filter", "Choice of edge feature");
//Gradient Section
AddChoice("filter.gradient", "Gradient");
SetParameterDescription("filter.gradient",
"This filter computes the gradient magnitude of the image at each pixel.");
//Sobel Section
AddChoice("filter.sobel", "Sobel");
SetParameterDescription("filter.sobel",
"This filter uses the Sobel operator to calculate the image gradient and "
"then finds the magnitude of this gradient vector.");
//Touzi Section
AddChoice("filter.touzi", "Touzi");
SetParameterDescription("filter.touzi",
"This filter is more suited for radar images. It has a spatial parameter "
"to avoid speckle noise perturbations. The larger the radius is, "
"less sensible to the speckle noise the filter is, but micro edge will be missed.");
AddParameter(ParameterType_Int, "filter.touzi.xradius",
"The X radius of the neighborhood.");
SetDefaultParameterInt("filter.touzi.xradius", 1);
AddParameter(ParameterType_Int, "filter.touzi.yradius",
"The Y radius of the neighborhood.");
SetDefaultParameterInt("filter.touzi.yradius", 1);
//Canny Section
/*
AddChoice("filter.canny", "Canny");
AddParameter(ParameterType_Float, "filter.canny.variance", "");
SetDefaultParameterFloat("filter.canny.variance", 1.0);
AddParameter(ParameterType_Float, "filter.canny.maximumerror", "");
SetDefaultParameterFloat("filter.canny.maximumerror", 0.01);
AddParameter(ParameterType_Float, "filter.canny.upperthreshold", "");
SetDefaultParameterFloat("filter.canny.upperthreshold", 15.0);
AddParameter(ParameterType_Float, "filter.canny.lowerthreshold", "");
SetDefaultParameterFloat("filter.canny.lowerthreshold", 3.0);
*/
AddParameter(ParameterType_OutputImage, "out", "Feature Output Image");
SetParameterDescription("out", "Output image containing the edge features.");
// Doc example parameter settings
SetDocExampleParameterValue("in", "qb_RoadExtract.tif");
SetDocExampleParameterValue("channel", "1");
SetDocExampleParameterValue("out", "Edges.tif");
SetOfficialDocLink();
}
void DoUpdateParameters() override
{
// Nothing to do here : all parameters are independent
}
/** Standard macro */
itkNewMacro(Self);
void DoExecute() override
{
FloatVectorImageType::Pointer inImage = GetParameterImage("in");
inImage->UpdateOutputInformation();
int nbChan = inImage->GetNumberOfComponentsPerPixel();
itkTypeMacro(EdgeExtraction, otb::Application);
if( GetParameterInt("channel") > nbChan )
private:
void DoInit() override
{
SetName("EdgeExtraction");
SetDescription(
"This application computes edge features on every pixel of the input image "
"selected channel");
// Documentation
SetDocName("Edge Feature Extraction");
SetDocLongDescription(
"This application computes edge features on a selected channel of the input."
"It uses different filter such as gradient, Sobel and Touzi");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
SetDocSeeAlso("otb class");
AddDocTag(Tags::FeatureExtraction);
AddDocTag("Edge");
AddParameter(ParameterType_InputImage, "in", "Input Image");
SetParameterDescription("in", "The input image on which the features are computed.");
AddParameter(ParameterType_Int, "channel", "Selected Channel");
SetParameterDescription("channel", "The selected channel index");
SetDefaultParameterInt("channel", 1);
SetMinimumParameterIntValue("channel", 1);
AddRAMParameter();
AddParameter(ParameterType_Choice, "filter", "Edge feature");
SetParameterDescription("filter", "Choice of edge feature");
// Gradient Section
AddChoice("filter.gradient", "Gradient");
SetParameterDescription("filter.gradient", "This filter computes the gradient magnitude of the image at each pixel.");
// Sobel Section
AddChoice("filter.sobel", "Sobel");
SetParameterDescription("filter.sobel",
"This filter uses the Sobel operator to calculate the image gradient and "
"then finds the magnitude of this gradient vector.");
// Touzi Section
AddChoice("filter.touzi", "Touzi");
SetParameterDescription("filter.touzi",
"This filter is more suited for radar images. It has a spatial parameter "
"to avoid speckle noise perturbations. The larger the radius is, "
"less sensible to the speckle noise the filter is, but micro edge will be missed.");
AddParameter(ParameterType_Int, "filter.touzi.xradius", "The X radius of the neighborhood.");
SetDefaultParameterInt("filter.touzi.xradius", 1);
AddParameter(ParameterType_Int, "filter.touzi.yradius", "The Y radius of the neighborhood.");
SetDefaultParameterInt("filter.touzi.yradius", 1);
// Canny Section
/*
AddChoice("filter.canny", "Canny");
AddParameter(ParameterType_Float, "filter.canny.variance", "");
SetDefaultParameterFloat("filter.canny.variance", 1.0);
AddParameter(ParameterType_Float, "filter.canny.maximumerror", "");
SetDefaultParameterFloat("filter.canny.maximumerror", 0.01);
AddParameter(ParameterType_Float, "filter.canny.upperthreshold", "");
SetDefaultParameterFloat("filter.canny.upperthreshold", 15.0);
AddParameter(ParameterType_Float, "filter.canny.lowerthreshold", "");
SetDefaultParameterFloat("filter.canny.lowerthreshold", 3.0);
*/
AddParameter(ParameterType_OutputImage, "out", "Feature Output Image");
SetParameterDescription("out", "Output image containing the edge features.");
// Doc example parameter settings
SetDocExampleParameterValue("in", "qb_RoadExtract.tif");
SetDocExampleParameterValue("channel", "1");
SetDocExampleParameterValue("out", "Edges.tif");
SetOfficialDocLink();
}
void DoUpdateParameters() override
{
// Nothing to do here : all parameters are independent
}
void DoExecute() override
{
FloatVectorImageType::Pointer inImage = GetParameterImage("in");
inImage->UpdateOutputInformation();
int nbChan = inImage->GetNumberOfComponentsPerPixel();
if (GetParameterInt("channel") > nbChan)
{
otbAppLogCRITICAL("Selected band is not available...");
return;
otbAppLogCRITICAL("Selected band is not available...");
return;
}
const std::string edgeType = GetParameterString("filter");
const std::string edgeType = GetParameterString("filter");
m_ExtractorFilter = ExtractorFilterType::New();
m_ExtractorFilter->SetInput(inImage);
m_ExtractorFilter->SetStartX(inImage->GetLargestPossibleRegion().GetIndex(0));
m_ExtractorFilter->SetStartY(inImage->GetLargestPossibleRegion().GetIndex(1));
m_ExtractorFilter->SetSizeX(inImage->GetLargestPossibleRegion().GetSize(0));
m_ExtractorFilter->SetSizeY(inImage->GetLargestPossibleRegion().GetSize(1));
m_ExtractorFilter->SetChannel(GetParameterInt("channel"));
m_ExtractorFilter->UpdateOutputInformation();
m_ExtractorFilter = ExtractorFilterType::New();
m_ExtractorFilter->SetInput(inImage);
m_ExtractorFilter->SetStartX(inImage->GetLargestPossibleRegion().GetIndex(0));
m_ExtractorFilter->SetStartY(inImage->GetLargestPossibleRegion().GetIndex(1));
m_ExtractorFilter->SetSizeX(inImage->GetLargestPossibleRegion().GetSize(0));
m_ExtractorFilter->SetSizeY(inImage->GetLargestPossibleRegion().GetSize(1));
m_ExtractorFilter->SetChannel(GetParameterInt("channel"));
m_ExtractorFilter->UpdateOutputInformation();
m_GradientFilter = GradientFilterType::New();
m_SobelFilter = SobelFilterType::New();
m_TouziFilter = TouziFilterType::New();
//m_CannyFilter = CannyFilterType::New();
m_GradientFilter = GradientFilterType::New();
m_SobelFilter = SobelFilterType::New();
m_TouziFilter = TouziFilterType::New();
// m_CannyFilter = CannyFilterType::New();
if( edgeType == "gradient" )
if (edgeType == "gradient")
{
m_GradientFilter->SetInput(const_cast<FloatImageType*>(m_ExtractorFilter->GetOutput()));
SetParameterOutputImage("out", m_GradientFilter->GetOutput());
m_GradientFilter->SetInput(const_cast<FloatImageType*>(m_ExtractorFilter->GetOutput()));
SetParameterOutputImage("out", m_GradientFilter->GetOutput());
}
if( edgeType == "sobel" )
if (edgeType == "sobel")
{
m_SobelFilter->SetInput(const_cast<FloatImageType*>(m_ExtractorFilter->GetOutput()));
SetParameterOutputImage("out", m_SobelFilter->GetOutput());
m_SobelFilter->SetInput(const_cast<FloatImageType*>(m_ExtractorFilter->GetOutput()));
SetParameterOutputImage("out", m_SobelFilter->GetOutput());
}
if( edgeType == "touzi" )
if (edgeType == "touzi")
{
m_TouziFilter->SetInput(const_cast<FloatImageType*>(m_ExtractorFilter->GetOutput()));
TouziFilterType::SizeType rad;
rad[0] = this->GetParameterInt("filter.touzi.xradius");
rad[1] = this->GetParameterInt("filter.touzi.yradius");
m_TouziFilter->SetRadius(rad);
SetParameterOutputImage("out", m_TouziFilter->GetOutput());
}
/*
if( edgeType == "canny" )
{
m_CannyFilter->SetInput(const_cast<FloatImageType*>(m_ExtractorFilter->GetOutput()));
m_CannyFilter->SetVariance(GetParameterFloat("filter.canny.variance"));
m_CannyFilter->SetMaximumError(GetParameterFloat("filter.canny.maximumerror"));
m_CannyFilter->SetUpperThreshold(GetParameterFloat("filter.canny.upperthreshold"));
m_CannyFilter->SetLowerThreshold(GetParameterFloat("filter.canny.lowerthreshold"));
SetParameterOutputImage("out", m_CannyFilter->GetOutput());
m_TouziFilter->SetInput(const_cast<FloatImageType*>(m_ExtractorFilter->GetOutput()));
TouziFilterType::SizeType rad;
rad[0] = this->GetParameterInt("filter.touzi.xradius");
rad[1] = this->GetParameterInt("filter.touzi.yradius");
m_TouziFilter->SetRadius(rad);
SetParameterOutputImage("out", m_TouziFilter->GetOutput());
}
*/
}
ExtractorFilterType::Pointer m_ExtractorFilter;
GradientFilterType::Pointer m_GradientFilter;
SobelFilterType::Pointer m_SobelFilter;
TouziFilterType::Pointer m_TouziFilter;
//CannyFilterType::Pointer m_CannyFilter;
/*
if( edgeType == "canny" )
{
m_CannyFilter->SetInput(const_cast<FloatImageType*>(m_ExtractorFilter->GetOutput()));
m_CannyFilter->SetVariance(GetParameterFloat("filter.canny.variance"));
m_CannyFilter->SetMaximumError(GetParameterFloat("filter.canny.maximumerror"));
m_CannyFilter->SetUpperThreshold(GetParameterFloat("filter.canny.upperthreshold"));
m_CannyFilter->SetLowerThreshold(GetParameterFloat("filter.canny.lowerthreshold"));
SetParameterOutputImage("out", m_CannyFilter->GetOutput());
}
*/
}
ExtractorFilterType::Pointer m_ExtractorFilter;
GradientFilterType::Pointer m_GradientFilter;
SobelFilterType::Pointer m_SobelFilter;
TouziFilterType::Pointer m_TouziFilter;
// CannyFilterType::Pointer m_CannyFilter;
};
}
}
} // namespace Wrapper
} // namespace otb
OTB_APPLICATION_EXPORT(otb::Wrapper::EdgeExtraction)
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