ITK
4.1.0
Insight Segmentation and Registration Toolkit
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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 * limitations under the License. * *=========================================================================*/ // Software Guide : BeginLatex // // This example illustrates how to manually construct an \doxygen{Image} // class. The following is the minimal code needed to instantiate, declare // and create the image class. // // \index{itk::Image!Instantiation} // \index{itk::Image!Header} // // First, the header file of the Image class must be included. // // Software Guide : EndLatex // Software Guide : BeginCodeSnippet #include "itkImage.h" // Software Guide : EndCodeSnippet int main(int, char *[]) { // Software Guide : BeginLatex // // Then we must decide with what type to represent the pixels // and what the dimension of the image will be. With these two // parameters we can instantiate the image class. Here we create // a 3D image with \code{unsigned short} pixel data. // // Software Guide : EndLatex // // Software Guide : BeginCodeSnippet typedef itk::Image< unsigned short, 3 > ImageType; // Software Guide : EndCodeSnippet // Software Guide : BeginLatex // // The image can then be created by invoking the \code{New()} operator // from the corresponding image type and assigning the result // to a \doxygen{SmartPointer}. // // \index{itk::Image!Pointer} // \index{itk::Image!New()} // // Software Guide : EndLatex // // Software Guide : BeginCodeSnippet ImageType::Pointer image = ImageType::New(); // Software Guide : EndCodeSnippet // Software Guide : BeginLatex // // In ITK, images exist in combination with one or more // \emph{regions}. A region is a subset of the image and indicates a // portion of the image that may be processed by other classes in // the system. One of the most common regions is the // \emph{LargestPossibleRegion}, which defines the image in its // entirety. Other important regions found in ITK are the // \emph{BufferedRegion}, which is the portion of the image actually // maintained in memory, and the \emph{RequestedRegion}, which is // the region requested by a filter or other class when operating on // the image. // // In ITK, manually creating an image requires that the image is // instantiated as previously shown, and that regions describing the image are // then associated with it. // // A region is defined by two classes: the \doxygen{Index} and // \doxygen{Size} classes. The origin of the region within the // image with which it is associated is defined by Index. The // extent, or size, of the region is defined by Size. Index // is represented by a n-dimensional array where each component is an // integer indicating---in topological image coordinates---the initial // pixel of the image. When an image is created manually, the user is // responsible for defining the image size and the index at which the image // grid starts. These two parameters make it possible to process selected // regions. // // The starting point of the image is defined by an Index class // that is an n-dimensional array where each component is an integer // indicating the grid coordinates of the initial pixel of the image. // // \index{itk::Image!Size} // \index{itk::Image!SizeType} // // Software Guide : EndLatex // // Software Guide : BeginCodeSnippet ImageType::IndexType start; start[0] = 0; // first index on X start[1] = 0; // first index on Y start[2] = 0; // first index on Z // Software Guide : EndCodeSnippet // Software Guide : BeginLatex // // The region size is represented by an array of the same dimension of the // image (using the Size class). The components of the array are // unsigned integers indicating the extent in pixels of the image along // every dimension. // // \index{itk::Image!Index} // \index{itk::Image!IndexType} // // Software Guide : EndLatex // // Software Guide : BeginCodeSnippet ImageType::SizeType size; size[0] = 200; // size along X size[1] = 200; // size along Y size[2] = 200; // size along Z // Software Guide : EndCodeSnippet // Software Guide : BeginLatex // // Having defined the starting index and the image size, these two // parameters are used to create an ImageRegion object which basically // encapsulates both concepts. The region is initialized with the // starting index and size of the image. // // \index{itk::Image!itk::ImageRegion} // \index{itk::Image!RegionType} // // Software Guide : EndLatex // Software Guide : BeginCodeSnippet ImageType::RegionType region; region.SetSize( size ); region.SetIndex( start ); // Software Guide : EndCodeSnippet // Software Guide : BeginLatex // // Finally, the region is passed to the \code{Image} object in order to define its // extent and origin. The \code{SetRegions} method sets the // LargestPossibleRegion, BufferedRegion, and RequestedRegion // simultaneously. Note that none of the operations performed to this point // have allocated memory for the image pixel data. It is necessary to // invoke the \code{Allocate()} method to do this. Allocate does not // require any arguments since all the information needed for memory // allocation has already been provided by the region. // // \index{itk::Image!Allocate()} // \index{itk::Image!SetRegions()} // // Software Guide : EndLatex // Software Guide : BeginCodeSnippet image->SetRegions( region ); image->Allocate(); // Software Guide : EndCodeSnippet return 0; }