Modules:AddImages-Documentation-3.6
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Module Name
Filtering:AddImage
General Information
Module Type & Category
Type: CLI
Category: Base or (Filtering, Registration, etc.)
Authors, Collaborators & Contact
- Author: Bill Lorensen
- Contact: bill.lorensen at gmail.com
Module Description
Module performs pixel-wise addition of two images. The module makes use of ITK filters for adding the two images. The module provides support for rescaling the input images to perform addition when the size of the inputs differ. However, it does not register the input images with respect to each other. It is therefore the user's responsibility to make sure that the input images are of the same size to obtain meaningful results.
Usage
Load the input volumes. The default setting of the interpolation order should work fine. Its best to use the input volumes of the same size as the module does pixel-wise additions.
Examples, Use Cases & Tutorials
This module can be used for producing intermediate results that can then be plugged as inputs to other filters and modules.
Quick Tour of Features and Use
- "Inputs/Outputs:" This module requires two input volumes, and the specification of an output volume. The module produces the output volume of the same size as the first input volume.
- "Parameters:" The module uses one parameter Interpolation Order. The interpolation order sets the degree of B-spline interpolation to be performed on the second input image for resampling it to the same size as the first input image. The default setting is 1. In general, if the input and output images are of the same size, this parameter can be left at the default setting.
Development
Dependencies
This module uses the ITK libraries.
Known bugs
Follow this link to the Slicer3 bug tracker.
Usability issues
Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.
Source code & documentation
Source Code: [1] Test Code: [Applications/CLI/Testing/AddTest.cxx] Documentation:
More Information
Acknowledgment
This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on the National Centers for Biomedical Computing can be obtained from National Centers for Biomedical Computing.
