ITK  4.6.0
Insight Segmentation and Registration Toolkit
SpatialObjects/ImageMaskSpatialObject.cxx
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*
* Copyright Insight Software Consortium
*
* 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.txt
*
* 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
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*=========================================================================*/
// Disable warning for long symbol names in this file only
// Software Guide : BeginLatex
//
// \index{itk::ImageMaskSpatialObject}
//
// An \doxygen{ImageMaskSpatialObject} is similar to the \doxygen{ImageSpatialObject}
// and derived from it.
// However, the main difference is that the \code{IsInside()} returns true if the pixel
// intensity in the image is not zero.
//
// The supported pixel types does not include \doxygen{RGBPixel}, \doxygen{RGBAPixel}, etc...
// So far it only allows to manage images of simple types like unsigned short,
// unsigned int, or \doxygen{Vector}.
// Let's begin by including the appropriate header file.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
#include "itkImage.h"
int main(int, char* [])
{
// Software Guide : BeginLatex
// The ImageMaskSpatialObject is templated over the dimensionality.
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::ImageMaskSpatialObject<3> ImageMaskSpatialObject;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
// Next we create an \doxygen{Image} of size 50x50x50 filled with zeros
// except a bright square in the middle which defines the mask.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef ImageMaskSpatialObject::PixelType PixelType;
typedef ImageMaskSpatialObject::ImageType ImageType;
ImageType::Pointer image = ImageType::New();
ImageType::SizeType size = {{ 50, 50, 50 }};
ImageType::IndexType index = {{ 0, 0, 0 }};
ImageType::RegionType region;
region.SetSize(size);
region.SetIndex(index);
image->SetRegions( region );
image->Allocate(true); // initialize buffer to zero
ImageType::RegionType insideRegion;
ImageType::SizeType insideSize = {{ 30, 30, 30 }};
ImageType::IndexType insideIndex = {{ 10, 10, 10 }};
insideRegion.SetSize( insideSize );
insideRegion.SetIndex( insideIndex );
Iterator it( image, insideRegion );
it.GoToBegin();
while( !it.IsAtEnd() )
{
++it;
}
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
// Then, we create an ImageMaskSpatialObject.
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
ImageMaskSpatialObject::Pointer maskSO = ImageMaskSpatialObject::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
// and we pass the corresponding pointer to the image.
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
maskSO->SetImage(image);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
// We can then test if a physical \doxygen{Point} is inside or outside the mask image.
// This is particularly useful during the registration process when only a part
// of the image should be used to compute the metric.
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
ImageMaskSpatialObject::PointType inside;
inside.Fill(20);
std::cout << "Is my point " << inside << " inside my mask? "
<< maskSO->IsInside(inside) << std::endl;
ImageMaskSpatialObject::PointType outside;
outside.Fill(45);
std::cout << "Is my point " << outside << " outside my mask? "
<< !maskSO->IsInside(outside) << std::endl;
// Software Guide : EndCodeSnippet
return EXIT_SUCCESS;
}